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Scientific Reports volume 14 , Article number: 15475 ( 2024 ) Cite this article
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The Yangtze River (hereafter referred to as the YZR), the largest river in China, is of paramount importance for ensuring water resource security. The Yangtze River Basin (hereafter referred to as the YRB) is one of the most densely populated areas in China, and complex human activities have a significant impact on the ecological security of water resources. Therefore, this paper employs theories related to ecological population evolution and the Driving Force-Pressure-State-Impact-Response (DPSIR) model to construct an indicator system for the ecological security of water resources in the YRB. The report evaluates the ecological security status of water resources in each province of the YRB from 2010 to 2019, clarifies the development trend of its water resource ecological security, and proposes corresponding strategies for regional ecological security and coordinated economic development. According to the results of the ecological population evolution competition model, the overall indicator of the ecological security of water resources in the YRB continues to improve, with the safety level increasing annually. Maintaining sound management of water resources in the YRB is crucial for sustainable socioeconomic development. To further promote the ecological security of water resources in the YRB and the coordinated development of the regional economy, this paper proposes policy suggestions such as promoting the continuous advancement of sustainable development projects, actively adjusting industrial structure, continuously enhancing public environmental awareness, and actively participating in international ecological construction and seeking cooperation among multiple departments.
Introduction.
Water is the primary resource for sustaining living organisms and also an important contributor to the ecological environment and the global economy. However, the current status of water resources is facing formidable challenges owing to rapid global population growth, sustained economic development, and extreme climatic conditions triggered by climate change. According to reports from the World Economic Forum and the United Nations, currently, over 2 billion people worldwide inhabit water-scarce regions, a figure projected to increase to as much as 3.5 billion by the year 2025. Approximately a quarter of the global population is confronting a “water stress” crisis, with water scarcity issues gradually becoming commonplace, defying prior expectations 1 . The report assessed the water risks in almost 200 countries and regions. Seventeen regions and countries around the world consume more than 80% of the available water supply, putting them at risk of experiencing severe water scarcity. The scarcity, uneven distribution, and deteriorating environmental quality of water resources have emerged as significant impediments to human sustainable development and societal progress, posing severe threats to water resource security across various regions. Consequently, there is an urgent imperative to engage in interdisciplinary research and foster collaborative innovation to devise scientifically sound water resource management strategies, thereby advancing the societal attainment of sustainable development goals.
Water resources are a strategic asset for ensuring economic and social development. Water is not only a fundamental element for human survival but also a crucial guarantee for economic and social development. If industry is the foundation of the national economy, then water is its “lifeblood”, essential for the development of all industries. As the largest river in China, the YZR originates from the Qinghai‒Tibet Plateau, traverses three major economic zones, and finally flows into the East China Sea. The YZR the world’s third-longest river and also has the widest basin area in China, accounting for approximately 36% of the country's total water resources. Thus, it is one of China’s most critical rivers. The YZR runs through eleven regions, including an autonomous region, eight provinces, and two municipalities directly under the central government, namely, Qinghai Province, the Tibet Autonomous Region, Yunnan Province, Sichuan Province, Hunan Province, Hubei Province, Jiangxi Province, Anhui Province, Jiangsu Province, Chongqing Municipality, and Shanghai Municipality. Due to the complex terrain and low population density in the Tibet Autonomous Region, human activities in the area have a relatively minor impact on water resource ecological security. Considering the integrity of administrative divisions, this paper selects ten provinces (municipalities), namely, Qinghai, Yunnan, Sichuan, Hunan, Hubei, Jiangxi, Anhui, Jiangsu, Chongqing, and Shanghai, as the research area, representing the YRB as the research object. The YRB currently has hundreds of millions of residents, meaning that the supply and demand of water resources in the basin are crucial for people’s livelihoods and industrial and agricultural production. As one of the most economically developed regions in China, the YRB has important economic centres and industrial bases. The rational utilization and management of water resources are crucial for the economic development of this region. Assessing the security of water resources in the YRB is the foundation for ensuring high-quality development in this area. To actively address the challenges posed by water security issues and achieve sustainable development, it is essential to prioritize and resolve water security challenges 2 .
By investigating research progress on water resource security both domestically and internationally, it has been found that the majority of studies primarily focus on the ecological system aspect, while a minority are based on the social attributes of water resources. Particularly within the realm of human–water relationships 3 , research examining the impact of socioeconomic factors on water resource ecological security from temporal and spatial perspectives is relatively limited. This study introduces the Lotka–Volterra biological concept to explore the competitive or symbiotic relationships between two populations concerning ecological resources within the same temporal and spatial context. Here, we assume that the changes in socioeconomic factors have an impact on the ecological security of water resources, and at the same time, the continuous improvement of water resource ecological security is also a sign of the advancement of socioeconomic development. The two mutually influence each other. Meanwhile, the water resource ecosystem possesses a certain degree of resilience, meaning that it can recover to a certain level through natural restoration or human intervention after being damaged to a certain extent. Building upon this foundation, the DPSIR model is employed to establish a symbiotic assessment index system for socioeconomic factors and water resources. The entropy weight method was utilized to calculate the weights of the indicators. Furthermore, the Lotka–Volterra coexistence model was employed to conduct an in-depth evaluation of the ecological security of water resources in the YRB from 2010 to 2019. The results indicate that during the period of 2010–2015, the ecological security status of water resources in the YRB was highly sensitive and even approached a dangerous state. However, with national governance and policy adjustments, the ecological security of water resources in the YRB has shown a trend of orderly recovery, currently stabilizing at a state of security or near-security. Nevertheless, challenges still exist in the management of water resource ecological security. It is vital not only to maintain and protect the YRB but also to further research and safeguard other water source areas. In summary, future efforts to govern and maintain the ecological security of water resources will be arduous, requiring the collaborative participation and governance of multiple stakeholders. Establishing a sound management system and calling for concerted efforts from the entire society to protect the YZR are crucial. Active participation in comprehensive ecological security protection projects in the YRB is essential. This lays the groundwork for constructing a healthier and more sustainable water resource ecological security management system.
Interspecific competition model foundation—logistic model.
The logistic curve, also known as the “S-shaped curve, ” is a graphical representation of the growth pattern of a population 4 . This logistic growth model was constructed by Verhulst 5 . The logistic model describes the development of many phenomena in nature, showing continuous growth within a certain period 6 . Generally, in the initial stages of species development, the population grows rapidly. After a certain period, the growth rate reaches its peak. Due to internal factors, the rate gradually slows until it no longer increases, reaching a stable state at the limit. This process of changing population size is referred to as a finite growth process, namely, the logistic growth process. According to the research results of scholars such as Haibo et al. 7 , Lingyun and Jun 8 , and Tao 9 , the basic interspecies competition model, the logistic model, is represented by the following equation:
The constant \({\upgamma } > 0\) in the equation represents the self-intrinsic growth rate of the population, indicating the maximum growth rate of a single population without external environmental limitations. This variable reflects the difference between the average birth rate and the average death rate of individuals in a population who are not subjected to external inhibitory effects. This constant reveals the intrinsic growth characteristics of a species population. The parameter K reflects the abundance of available resources within an ecosystem. When the population size K of a species equals K, the population will no longer grow. Therefore, the K value represents the maximum number of individuals of a species that the ecosystem environment can accommodate, also known as the carrying capacity.
According to the logistic equation, we can observe that the relative growth rate of a population is proportional to the remaining resource capacity in the ecological system environment. When the remaining resources are abundant, the relative growth rate of the species population is high. This phenomenon, where the rate of population growth slows as population density gradually increases, is known as density-dependent regulation. As the ecological system capacity K approaches infinity, the growth rate of the population approaches exponential growth, and this change in the population growth curve is known as the logistic curve.
In 1925, Lotka introduced a significant model in his research titled “Elements of Physical Biology”, the predator‒prey interaction model. This model quantitatively elucidates the interactions between organisms 10 . In 1926, Volterra, in his study “Variazionie fluttuazioni del numero d’individui in specie animali conviventi,” described the population dynamics of two interacting species in the biological realm 11 . These contributions laid the theoretical foundation for interspecific competition models and significantly influenced the development of modern ecological competition theories.
The interactions between species can be classified into three main types: competitive relationships, predator–prey relationships, and mutualistic cooperation relationships 12 . The Lotka–Volterra model was initially developed to describe predator‒prey relationships. However, with the increasingly widespread application of differential equation theory, this ecological model has evolved to encompass a broader range of applicability.
In 1993, the research group OECD innovatively proposed the DPSIR model, which is the “driving force-pressure-state-influence-response” model based on previous research models and has since been widely promoted in policy-making and research. Combining the characteristics of both the DSR (Driving Force-State-Response) and PSR frameworks, the DPSIR model effectively reflects causal relationships within systems, integrating elements such as resources, development, environment, and human health. As a result, it is considered a suitable method for evaluating watershed ecological security.
Consistent with the PSR framework, the DPSIR model organizes information and relevant indicators based on causal relationships with the aim of establishing a chain of causality: driving force (D)-pressure (P)-state (S)-impact (I)-response (R). In this context, “Driving Force (D)” primarily refers to potential factors reflecting changes in the health of the water cycle system, such as socioeconomic and population growth. “Pressure (P)” mainly refers to the impacts on the structure and functioning of the water cycle system, such as the utilization of water resources. “State (S)” represents changes in the water cycle system resulting from the combined effects of driving forces and pressures, serving as the starting point for impact and response analysis. “Impact (I)” reflects the effects of the hydrological cycle system on human health and social development. “Response (R)” refers to the feedback provided by the water cycle system to driving forces and pressures.
This model describes the causal chain between activities conducted by humans and the water environment, illustrating the mutually constraining and influencing processes between the two. It can encompass elements such as society, economy, and environment to indicate the threats posed by social, economic, and human activities to watershed ecological security. It can also utilize response indicators to demonstrate the feedback of the environment to society resulting from human activities and their impacts, as shown in Fig. 1 13 .
DPSIR model framework.
Water resources are a vital strategic asset for sustainable development and a key factor influencing human survival and socioeconomic development. The security of water resources is intricately linked to national economies and social stability 14 , 15 , 16 , 17 , 18 . As the population and economy grow rapidly, as well as due to the influence of climate change, water scarcity and deterioration of the water environment have become increasingly prevalent, posing a critical constraint to human survival and development 19 . Currently, research on water resource ecological security issues primarily revolves around the following three aspects.
The first aspect involves the evaluation of the water resources carrying capacity (hereafter referred to as the WRCC) and vulnerability.
Regarding the WRCC, some studies consider that the WRCC implies the need for water resources to sustain a healthy societal system 20 . Other researchers argue that the WRCC is the maximum threshold for sustaining human activities 21 .
In terms of calculation methods, various quantification methods for the WRCC have gradually emerged. For example, Qu and Fan 22 considered the available water volume in water demand, national economic sectors and the ecological environment. They employed the traditional trend approach to obtain the population and development scales of industry and agriculture. Zhou Fulei adopted the entropy weight method, an objective weight determination method, to determine the weights of each evaluation indicator, utilized the analytic hierarchy process (AHP) to adjust the weights, constructed composite weights, and then used the TOPSIS model to evaluate the water resources carrying capacity of Qingdao city from 2015 to 2021 23 . Ma et al. 24 and Xiong et al. 25 analysed and evaluated the WRCC using the entropy weight method and provided suggestions for regional sustainable development. Wang et al. 26 , under the traditional TOPSIS model, used an improved structural entropy weighting method to determine the weights of evaluation indicators. They then constructed a grey-weighted TOPSIS model using a grey correlation matrix to specifically evaluate the current state of the agricultural WRCC in Anhui Province. Zhang X and Duan X combined the weights obtained from the entropy and CRITIC methods using the geometric mean method. They applied these combined weights to a model integrating grey relational analysis (GRA), the technique for order preference by similarity to an ideal solution (TOPSIS), and the coupling coordination degree model (CCDM) to calculate the evaluation value of the water resource carrying capacity 27 . Zhang and Tan 28 and Fu et al. 29 separately used optimization models and projection tracking models to evaluate the WRCC in their study areas and conducted comprehensive assessments of the regional WRCC. Gong and Jin 30 , Meng et al. 31 , Wang et al. 32 , and Gao et al. 33 applied fuzzy comprehensive evaluation methods to assess the influencing factors of the WRCC by establishing a fuzzy comprehensive evaluation matrix. On this basis, they analysed the factors affecting the WRCC and evaluated and predicted the future carrying capacity of water resources in the study area. Additionally, other methods have been employed, such as multidimensional regulation 34 , neural network genetic algorithms 35 , 36 , multi-index evaluation models 37 , and nonparametric analysis models 38 .
Ait-Aoudia and Berezowska-Azzag 39 conducted an assessment of the WRCC to analyse the balance between domestic demand and water supply. To assess the WRCC of specific regions, the assessment factors were determined by evaluating the relevant factors of water usage and availability. The conceptual framework for assessing the capacity of water resources was developed based on the supply–demand relationship. Yan et al. 40 focused on the previous decade’s regional water resource data of Anhui Province in China. They constructed a framework for the Driving Force-Pressure-State-Impact-Response Management (DPSIRM) model and conducted a comprehensive evaluation of the WRCC using the entropy weight method and variable weight theory. Based on the derived comprehensive evaluation values and incorporating the modified Gray–Markov combined forecasting, they made predictions about the local WRCC for the coming years. In 2020, Zhengqian 41 discussed the concept and research methods of regional WRCC. The research methodology has evolved from a singular and static approach to a dynamic, multilevel, and comprehensive study with various indicators. Jiajun et al. 42 , starting from a systemic perspective, studied the coordinated development relationships among China’s economy, social development, ecological environment, and water resources. They applied the WRCC Comprehensive Evaluation Model, calculating the comprehensive evaluation index for specific years based on relevant data. This allowed them to describe the WRCC status of provinces and regions in China, providing a comprehensive analysis and evaluation of China’s WRCC. Ren et al. 43 introduced the concept of biological metabolism to the regional WRCC and proposed the theory of regional water resource metabolism. Additionally, they established an evaluation indicator system for the WRCC considering regional water resource characteristics, socioeconomic systems, and sustainable development principles.
Raskin et al. 44 assessed the extent of water resource security by using the proportion of water extraction relative to the total water resources, defined as the water resource vulnerability index. Rui 45 constructed a water resource vulnerability model based on the theory of mutation series. They utilized the principles of mutation series to redefine grading standards and assessed the vulnerability status of water resources in Shanxi Province from 2004 to 2016. The aim was to offer technical assistance for the scientific management of water resources.
The second aspect involves the measurement of the sustainable utilization and efficiency of regional water resources.
Over the last few years, numerous domestic researchers have actively conducted research on the sustainable utilization of water resources, focusing primarily on two aspects:
First, research on evaluation indicator systems for the sustainable utilization of water resources should be conducted. Li Zhijun, Xiang Yang, and others addressed the lack of connection between water resource ecology and socioeconomic development in traditional water resource ecological footprint methods. They introduced the water resource ecological benefit ratio and analysed the water resource security and sustainable development status through an improved water resource energy value ecological footprint method 46 . Zhang et al. 47 established a fuzzy comprehensive evaluation model based on entropy weight, providing recommendations for the sustainable utilization of water resources in Guangxi Province. Liu Miliang, aiming for sustainable development, quantitatively analysed the current situation and influencing factors. Based on the DPSIR model, they established an evaluation system for the sustainable utilization of water resources 48 .
Second, in terms of evaluation methods and research on the sustainable utilization of water resources, Yunling et al. 49 constructed an evaluation indicator system for the WRCC to assess the comprehensive water resource carrying status in Hebei Province. Xuexiu et al. 50 , based on both domestic and international research on water resource pressure theory, analysed the connotation of water resource pressure, introduced commonly used methods for water resource pressure evaluation, and provided a comprehensive overview and comparative analysis of water resource pressure evaluation methods from aspects such as calculation principles, processes, and applications. Guohua et al. 51 established an entropy-based fuzzy comprehensive evaluation model of water resource allocation harmony and evaluated the water resource allocation status of various districts and counties in Xi’an city. Shiklomanov 52 used indicators such as available water resources, industrial and agricultural water usage, and household water consumption to assess water resource security.
The SBM-DEA model was used by Deng et al. 53 to appraise the efficiency of water resource utilization across nearly all provinces in China. They proposed factors influencing water resource utilization efficiency, including the added value of the agricultural sector, per capita water usage, the output-to-pollution ratio of polluting units, and import–export dependency. Yaguai and Lingyan 54 employed a two-stage model combining superefficiency DEA and Tobit to assess water resource efficiency in China from 2004 to 2014. They analysed regional differences and influencing factors. Mei et al. 55 separately used stochastic frontier analysis and data envelopment analysis to measure the absolute and relative efficiencies of water resource utilization in 14 cities in Liaoning Province. They employed a kernel density estimation model to analyse the dynamic evolution patterns of water resource utilization efficiency. Xiong et al. 56 adopted an iterative correction approach to modify and apply water resource utilization efficiency evaluation models based on single assessment methods such as entropy, mean square deviation, and deviation methods.
The third aspect involves investigating the relationship between water resource security and other societal systems.
Shanshan et al. 57 laid the foundation for the rational construction of an urbanization and water resource indicator system. Through the establishment of a dynamic coupled model, they conducted an analytical study on the harmonized development trends between the urbanization system and the water resource system in Beijing. Wei 58 utilized a coordination degree model to explore the coupling relationship between the quality of new urbanization and water resource security in Guangdong Province. Caizhi and Xiaodong 59 combining coupled scheduling models with exploratory spatial data analysis and conducted an analysis of the security conditions and spatial correlations among water resources, energy, and food in China. Additionally, Xia et al. 60 employed the Mann–Kendal test method to study the degrees of matching between water resources and socioeconomic development in six major geographical regions of China.
A review of the relevant literature reveals that scholars have explored the issues of water resource ecological security and regional socioeconomic development from various perspectives and fields, which is one of the urgent problems to be addressed in the current process of social development. These research findings not only have learning and reference significance but also provide insights for the writing of this paper.
Summarizing the achievements of previous research, the essence of water resource security evaluation mainly includes three aspects: ensuring water quantity, sustainability, and water quality. Evaluation methods include principal component analysis, fuzzy comprehensive evaluation methods, analytic hierarchy processes, and system dynamics modelling methods, among others, among which the analytic hierarchy process has certain advantages in addressing multilevel problems and is widely used in constructing multilevel analysis models. Therefore, this paper introduces the Lotka–Volterra biological concept and continues to explore this topic further. It can effectively combine the relationships between indicators and weights and study the competition or symbiotic relationship between two populations competing for ecological resources in the same time and space context 61 . Drawing from the DPSIR model, this study devises a comprehensive evaluation framework to assess the interdependence of socioeconomic factors and water resources. Through the application of the entropy weight method, this study determines the relative importance of various indices within this framework. Employing the Lotka–Volterra symbiotic model, this research scrutinizes and quantifies the ecological security status of water resources in the YRB from 2010 to 2019. The overarching objective is to furnish technical insights that can catalyse efforts to enhance the ecological security of regional water resources.
In the 1940s, A. J. Lotka and V. Volterra jointly introduced the Lotka–Volterra model 62 , which serves as a method for studying the relationships between biological populations. Its basic form is as follows:
In the given equation, \({\text{N}}_{1} \left( {\text{t}} \right), {\text{N}}_{2} \left( {\text{t}} \right)\) denote the populations of species \({\text{S}}_{1}\) and \({\text{S}}_{2}\) , respectively. \({\text{K}}_{1}\) and \({\text{K}}_{2}\) represent the carrying capacities of populations \({\text{S}}_{1}\) and \({\text{S}}_{2}\) in their respective environments. \({\text{r}}_{1}\) and \({\text{r}}_{2}\) represent the growth rates of populations \({\text{S}}_{1}\) and \({\text{S}}_{2}\) , respectively. \(\alpha\) denotes the competitive intensity coefficient of species \({\text{S}}_{2}\) on species \({\text{S}}_{1}\) , while \(\beta\) represents the competitive intensity coefficient of species \({\text{S}}_{1}\) on species \({\text{S}}_{2}\) .
By replacing the socioeconomic relationships within the entire YRB with the provinces within the basin, the Lotka–Volterra model is introduced into the regional water resource ecological security assessment. This allows for the construction of a symbiotic model between socioeconomic factors and water resources within the YRB. The specific formula is as follows:
In the equation, \({\text{F}}\left( {\text{k}} \right)\) denotes the comprehensive socioeconomic development status, \({\text{E}}\left( {\text{k}} \right)\) signifies the comprehensive development status of water resources, \({\text{C}}\) represents the ecological environment, \({\text{r}}_{{\text{F}}}\) signifies the socioeconomic growth rate, \({\text{r}}_{{\text{E}}}\) represents the growth rate of water resources, \(\alpha\) denotes the coefficient of water resources’ impact on the socioeconomy, and \(\beta\) denotes the coefficient of the impact of the socioeconomy on water resources. Therefore, solving for the coefficients \(\alpha\) and \(\beta\) in the model is essential for examining the interaction between the socioeconomy and water resources. The specific steps for solving the equation are as follows.
Discretizing Eqs. ( 4 ), ( 5 ) yields:
The solution is:
Different values of \(\alpha\) and \(\beta\) correspond to different symbiotic relationships between the socioeconomy and water resources, as illustrated in Fig. 2 .
Symbiotic model between the socioeconomic and water resources in the YRB.
To construct a water resource ecological security index system for the 10 provinces in the YRB, this paper is based on the research of relevant scholars and introduces the DPSIR model to evaluate water resource ecological security. This model was proposed to describe the concept of environmental systems and the structure of complex cause-and-effect relationships by the European Environment Agency (EEA) in 1999. It is mainly applied in assessments of ecological security, regional sustainable development, and water resource ecological security.
The establishment of the DPSIR model in this paper is illustrated in Fig. 3 .
DPSIR model.
Generally, the driver (D) in the socioeconomic system tends to improve the environmental and resource states (S), while the economic pressure (P) tends to disrupt the resource and environmental states (S). The states of resources and the environment contribute essential production materials to the socioeconomic system. Simultaneously, drivers (D) and pressures (P) reflect two different aspects of socioeconomic development. Therefore, these factors can indicate the level of socioeconomic development. Based on these definitions, the following indicators are selected to assess the DPSIR model for water resource ecological security. The weights of various indicators calculated through the entropy weight method are presented in Table 1 . A more significant role played by the corresponding indicator in the comprehensive assessment of regional ecological security will have a greater weight.
On this basis, the socioeconomic stress index \({\text{S}}_{{\text{F}}} \left( {\text{k}} \right)\) and water resource stress index \({\text{S}}_{{\text{E}}} \left( {\text{k}} \right)\) are defined as follows:
The comprehensive index between socioeconomic and water resources, also called the symbiosis index \({\text{S}}\left( {\text{k}} \right)\) , is calculated as follows:
According to Eq. ( 14 ), \({\text{S}}\left( {\text{k}} \right) \in \left[ { - \sqrt 2 ,\sqrt 2 } \right]\) , a larger value of A indicates that the symbiotic state between the socioeconomy and water resources is better; conversely, a smaller value of A indicates that the symbiotic state between the two is worse.
The water resources force index can illustrate the direction of the socioeconomic impact on water resources, and the symbiotic index can illustrate the magnitude of the socioeconomic impact on water resources. Therefore, these two indices serve as the basis for evaluating the water resource security status. Formula ( 14 ) implies that the symbiotic index \({\text{S}}\left( {\text{k}} \right)\) falls within the range of \(\left[ { - \sqrt 2 ,\sqrt 2 } \right]\) . A larger numerical value indicates a better symbiotic relationship between the two subsystems, while a smaller value suggests a poorer symbiotic relationship. However, the relationship between the symbiotic index and regional ecological security is not straightforward. Regional ecological security must be judged according to specific criteria grounded in both the measure of symbiosis \({\text{S}}\left( {\text{k}} \right)\) and the ecological force index \({\text{S}}_{{\text{E}}} \left( {\text{k}} \right)\) . This approach comprehensively characterizes the ecological security of the YRB urban agglomeration. In our study, a two-dimensional symbiotic model of socioeconomic–natural ecology is employed to depict the evolution of ecological security under dual-characteristic indices.
Within this model, ecological security is divided into six regions that progress in a sequential manner, conforming to the progressive law of ecological security evolution. In the safe zone, the socioeconomic and natural ecological systems mutually benefit, and both experience robust development. In the subsafe zone, although the natural ecological system is still in a growing state, this occurs at the expense of socioeconomic development, leading to an unstable ecological security status. If the socioeconomic system continues to suffer damage, it falls into the sensitive zone, where the harm to the socioeconomic system outweighs the benefits to the natural ecological system. If this condition persists, both systems enter a state of competition, resulting in harm to both, and they are situated in the danger zone. In unfavourable zones, the socioeconomic system gains weak benefits, while the natural economy suffers damage. If humanity recognizes this situation and takes measures to improve the environment, it may transition from the unfavourable zone to the cautious zone, leading to an improvement in ecological security and potential entry into the safe zone. For ease of analysis and based on the relevant literature 63 , following expert discussions, this study classifies ecological security into six categories corresponding to six ecological security early warning levels, as shown in Table 2 .
The YZR originates from the Qinghai‒Tibet Plateau, considered the “Roof of the World,” traversing three major economic regions before ultimately flowing into the East China Sea. For our study area, we selected the eight provinces and two municipalities through which the YZR flows. These regions are Shanghai, Jiangsu, Anhui, Jiangxi, Hubei, Hunan, Chongqing, Sichuan, Yunnan, and Qinghai. In the subsequent text, they will be referred to collectively as the YRB. The data for this study primarily originate from statistical yearbooks, water resource bulletins, and development reports spanning the years 2010 to 2019.
According to the criteria for water resource security status presented in Table 2 , the corresponding information is summarized in Table 3 for the years 2011 to 2018, indicating the water resource security status in the YRB during this period. It is observed that from 2011 to 2018, the water resources security status in the YRB initially experienced a decline but later recovered to a secure level. In recent years, the country has not only emphasized economic development but also placed significant importance on environmental protection. Rapid industrial development in earlier years led to an exacerbation of water pollution issues. However, the government promptly recognized this problem and implemented a series of measures to address water pollution. Stringent controls were also imposed on industrial water usage. Consequently, the water resource status quickly returned to a level considered safe.
The water resource security evaluation values obtained using the entropy method range from 0 to 1. Ideally, a value closer to 1 indicates a better water resource security situation, while a value closer to 0 suggests a poorer water resource security situation.
After standardizing the processed data, we can plug them into Eq. ( 15 ) to sequentially obtain the basic indices for socioeconomic, ecological environment, and water resource security in the YRB. The specific process involves substituting the basic indices for socioeconomic, ecological environment, and water resource ecological security into Eqs. ( 12 )–( 14 ). This approach yields comprehensive indices, including the socioeconomic stress index, water resource stress index, and symbiotic degree index. These indices serve as the basis for evaluating the water resource security status in the assessment region, with the water resource stress index and symbiotic degree index being the key indicators.
In the equation, f i represents the comprehensive level of water resource ecological security, \({\text{x}}_{{\text{i}}}^{\prime }\) signifies the standardized values obtained from the original data, and \({\text{w}}_{{\text{i}}}\) denotes the weights assigned to each indicator. When the value of f i falls between 0 and 1, the closer the value is to 1, the better the ecological security of water resources. In contrast, it shows a poorer ecological security status. Similarly, according to this equation, the classification of water resource ecological security can be divided into six categories: 0–0.16 denotes a dangerous state, 0.16–0.32 indicates a deteriorating state, 0.32–0.48 signifies a sensitive state, 0.48–0.64 represents a vigilant state, 0.64–0.8 implies a subsecure state, and 0.8–1.0 corresponds to a safe state. Different levels of water resource ecological security entail varying relationships with the national economy and society. For specific characteristics corresponding to each security level, please refer to Table 4 .
Informed consent was obtained from all subjects involved in the study.
Overall, the evaluation values of water resource security in the YRB from 2010 to 2019 showed a fluctuating upwards trend (refer to Table 5 ). From 2010 to 2013, the evaluation values fluctuated between 0.2 and 0.4, reaching the lowest level at Grade V. In 2011, the evaluation value was only 0.2201, indicating that during this period, the water resources in the YRB were in an unsafe state, resulting in water scarcity. These results indicate that economic and social development are not being met on a sustainable basis at the watershed scale. In 2014, the water resource security evaluation value for the YRB reached 0.4243, classified as Grade III. Subsequently, there was a significant upwards trend, with the evaluation value reaching 0.6746 in 2017, which was classified as Grade II, indicating a relatively secure state. These results suggest that the water resources of the YRB appeared to be more secure than they were before, and the YRB could essentially fulfil the requirements for sustainable economic and social development at the national level. This upwards trend continued, reaching 0.7215 in 2019. From 2010 to 2019, the water resource security status in the YRB improved from Grade V to Grade II, demonstrating significant improvement. However, it has not yet reached Grade I, indicating that there is still room for improvement in the future.
The DPSIR model was used to analyse the reasons for the improvement in the ecological security of water resources in the YRB based on five criteria. Table 5 shows that the evaluation values for driving forces significantly increased from 2010 to 2019, while the values for pressure and response slightly increased, and those for state and impact fluctuated, resulting in a slight overall improvement. Specifically, the evaluation values for driving forces fluctuated from 0.0543 to 0.2370, indicating the significant contributions of indicators such as per capita GDP, the proportion of primary industry, population density, and the urbanization rate to the enhancement of water resource security. The assurance provided by economic and social development for water resource security is evident. The evaluation value for pressure fluctuated from 0.0403 to 0.1149, suggesting a reduction in pressure on water resources from economic development, agricultural and industrial production, and residents' lifestyles, leading to a decrease in basin water pollution and an alleviation of water quality deterioration. The response increased from 0.0527 to 0.1665, indicating relatively significant growth. These results suggest that measures taken by the government and society to address water resource issues have been effective, resulting in improvements in both the quantity and quality of water resources and an enhancement of water resource security levels. The evaluation value for impact fluctuated from 0.0261 to 0.0349, indicating a standardized industrial wastewater discharge volume and an improvement in water resource security conditions. The evaluation value for state initially decreased from 0.1633 to a minimum of 0.0656 before increasing to approximately 0.17. These results suggest that, considering indicators such as per capita sewage discharge and per capita water consumption, the status of water resources initially declined but gradually improved after governance measures were implemented.
In summary, from 2010 to 2019, the improvement in water resource security in the YRB can be attributed mainly to the enhancement of driving forces and response indicators. Economic and social development has provided ample assurance for water resource security, while water resources have imposed constraints on economic and social development to a certain extent. In the YRB, the current governance of water resources has reached a relatively high level, making it challenging to achieve significant breakthroughs in the future. The efficiency of water use in the existing industrial structure is difficult to substantially improve. Therefore, adjusting the industrial structure to enhance water resource security is a future research focus. These findings align with the conclusions of other domestic scholars. For instance, a study by Xiaotao and Fa-wen 64 revealed that water consumption per unit of production energy and agricultural production in the YRB contributed the same proportion of GDP. They argued that future water conservation efforts should focus on adjusting industrial structures and developing water-saving technologies. Another study by Wang Hao revealed that the water resource utilization efficiency in the YRB was second only to that in the Beijing-Tianjin-Hebei region 65 . These authors suggested that the potential for mitigating the contradiction between water supply and demand through deep water conservation is limited.
According to the above methods and steps, further calculations were conducted to determine the water resource ecological security status of each province in the YRB from 2010 to 2019, as shown in Tables 6 and 7 . Information gleaned from Tables 6 and 7 suggests that the overall improvement in the water resource ecological security status of each province in the YRB from 2010 to 2019 was significant. There was a discernible improvement from 2014 to 2015, with a clear boundary line. Before 2015, the water resources in most areas were relatively sensitive, and some regions even experienced deterioration. However, after 2015, almost all areas reached subsafe or safe states.
Calculation results of the water resource security status of each province in the YRB from 2010 to 2019.
According to Eq. ( 15 ), and by empirically examining the ecological status of water resources in the YRB from 2010 to 2019, the comprehensive levels of the ecological environment, socioeconomic development, and water resources in ten provinces of the YRB were obtained, as shown in Fig. 4 .
Development of the basic indices in the YRB.
The information gleaned from Table 4 suggests that the economic development in the YRB from 2010 to 2019 showed a positive trend, increasing from 0.09 to 0.35. This increase is attributed to the favourable current economic development environment and robust support from national directives. Policies such as the 2013 “Guiding Opinions on Building China’s New Economic Support Belt Based on the Yangtze River”, the 2018 speech at the Symposium on Deepening the Development of the YZR Economic Belt, the “Development Plan for the Huaihe River Ecological Economic Belt”, and the 2019 “Outline of the Development Plan for the Regional Integration of the Yangtze River Delta” have played crucial roles in driving industrial restructuring and achieving quality economic development in the YRB.
The ecological environment comprehensive level in the YRB exhibited a fluctuating development trend from 2010 to 2019, resembling an “M” shape, increasing from 0.24 to 0.37 with a relatively small amplitude. Ecological civilization construction, as a fundamental national policy, has provided important guidance for the economic development of the YRB. This development includes intensified efforts in the treatment of industrial pollutants and urban wastewater, along with increased levels of regional afforestation and greenery. Notably, significant improvements were observed in indicators such as per capita park green space, the urban green space ratio, and the harmless disposal of waste in the YRB in 2015.
The comprehensive level of water resources in the YRB increased slightly from 0.19 to 0.20 from 2010 to 2019. Although there was an upwards trend, the magnitude of the increase was minimal, indicating an unfavourable water resource status in the YRB. The primary factor in this slight increase is the accelerated consumption of water resources. As a part of the ecological environment, a decrease in the comprehensive level of water resources is also an important factor restricting the overall improvement of the ecological environment. In future development, the YRB should leverage favourable national policies to promote breakthrough development in the regional economy. Simultaneously, efforts should be intensified towards the protection and management of regional water resources and the ecological environment, striving to enhance the comprehensive level of water resources and the ecological environment.
Based on the previously calculated comprehensive socioeconomic, ecological environment, and water resource levels, the stress indices for socioeconomic and water resources, as well as the symbiotic index for the YRB during the years 2010–2019, were computed, and the results are presented in Fig. 5 .
Development status of comprehensive indices in the YRB.
Figure 5 clearly shows that, except for the years 2012, 2014, and 2016, the impact of water resources on the socioeconomy remained consistently positive, indicating that during this period, water resources positively contributed to economic growth. The water resources force index has been consistently positive in recent years, signifying the promotion by socioeconomic development, with a relatively minor hindrance from socioeconomic development during this period. The symbiotic index values between the two factors were 1.05, 1.24, 1.40, 1.26, and 1.07 in the years 2011, 2013, 2015, 2017, and 2018, respectively, reaching an optimal state of mutual benefit and symbiosis. However, a slight decline was observed in subsequent years, suggesting the need for further improvement.
Using the ArcGIS10.4 tool, which is provided by the Environmental Systems Research Institute, Inc (commonly known as ESRI), several representative years were selected to visualize the ecological security status of water resources in the YRB. The computational results are visualized in Figs. 6 , 7 and 8 .
Ecological security status of water resources in the YRB in 2011(map were generated with software ArcMap10.4 http://www.esri.com/ ).
According to the division standards for administrative regions along the YZR in 2014, the YRB studied in this paper can be categorized into three main regions: the upper, middle, and lower reaches. The upper reach includes three provinces: Qinghai, Sichuan, and Yunnan. The middle reach comprises four provinces and municipalities: Chongqing, Hunan, Hubei, and Jiangxi. The lower reach consists of three provinces and municipalities: Anhui, Jiangsu, and Shanghai.
Figures 6 , 7 and 8 show that from 2011 to 2019, the overall ecological security status of water resources in the YRB transitioned from “deteriorating,” “sensitive,” and “vigilant” states to “subsecure” and “safe” states. The range of comprehensive evaluation values for water resource ecological security (hereafter referred to as evaluation values) increased from 0.16–0.64 to 0.64–1.
As illustrated in Fig. 6 , notable disparities were present in the distribution of the ecological security status of water resources among provinces and municipalities in the YRB, with the ecological security status of water resources in the upper and lower reaches of the YZR notably superior to that in the middle reaches. The data indicate that the water resource utilization efficiency levels in the upper and lower reaches of the YZR were greater than that in the middle reaches in 2011, exhibiting a pattern of high efficiency at both ends and lower efficiency in the middle. Regions with high comprehensive water resource utilization efficiency are mainly concentrated in the upper and lower reaches of the YZR.
Although the upstream regions have limited economic strength, they also have relatively fewer water-intensive industries. Meanwhile, these regions actively respond to green development policies and prioritize energy conservation and environmental protection industries. Underdeveloped regions can also achieve higher water resource efficiency by controlling total water consumption and improving the output of water per unit used.
The areas with low comprehensive utilization efficiency of water resources are primarily concentrated in the middle reaches of the YZR, where the proportions of traditional industries such as steel, chemicals, and nonferrous metals are relatively large, leading to high industrial water consumption and consequently the lowest efficiency in water resource utilization. Provinces such as Hunan and Hubei, with large populations and rapid economic development, exhibit high demands for water resources, resulting in increased regional water resource consumption and persistently high per capita sewage discharge indicators.
The downstream regions of the YZR boast strong economic progress, with high levels of industrial technological innovation and governance capabilities. This region exhibits the highest level of economic development, which can drive improvements in the utilization efficiency of water resources. Consequently, Shanghai and Jiangsu provinces have the highest water resource utilization efficiency. As a result, the ecological security status of water resources in Shanghai has improved rapidly.
As shown in Fig. 7 , in 2015, the overall ecological security status of water resources notably improved in the YRB. The fundamental reason for this improvement is that in recent years, regions across the basin have recognized the importance of the ecological environment for overall development. They have gradually undertaken regional industrial restructuring and upgrading and accelerated urbanization and simultaneously emphasized the preservation of water resources and the environment. The three major regions exhibit regional disparities in water resource utilization efficiency due to differences in geographical environment, economic foundation, and industrial structure. In terms of the total water consumption of each province and municipality, agricultural water usage accounts for more than half of the total water consumption, which is significantly greater than the water usage in the industrial, domestic, and ecological sectors. However, compared to other industries' output values, the overall water resource utilization efficiency in agriculture is lower. Therefore, regions with greater proportions of primary industry output tend to have lower water resource utilization efficiency.
Ecological security status of water resources in the YRB in 2015(map were generated with software ArcMap10.4 http://www.esri.com/ ).
The industrialization level in the upstream regions is relatively low, with relatively outdated production technologies. As industrialization progresses, the negative impact on water resources' ecological security is gradually increasing. The industrialization in the middle and lower reaches of the YZR has reached relatively high levels. Control measures have been gradually implemented to manage the resource consumption and environmental pollution generated during the industrial development process. With advancements in technology, the negative impact on water resource ecological security is gradually diminishing. Among these provinces, Hunan Province and Hubei Province in the middle reaches of the YZR experienced the greatest increases in water resource ecological security status, transitioning from “deteriorating” to “subsecure.” The regions in the middle reaches emphasize considering the resource and environmental carrying capacity to ensure the coordination between water resource allocation and regional sustainable development, achieving rational distribution and efficient utilization of water resources within the region.
The lower reaches of the YZR are characterized by developed economies, advanced technologies, and high levels of both urbanization efficiency and water resource efficiency, maintaining harmonious development. This region exhibits the strongest economic development and hosts the highly integrated YZR Delta urban agglomeration. With a solid foundation in secondary and tertiary industries, high levels of technological innovation, and openness, the overall ecological security status of water resources in this region is at a relatively high level.
Across the provinces and municipalities in the YRB, efforts have been intensified to control the discharge of pollutants such as phosphorus, leading to reduced pollutant emissions and improved water quality. Moreover, improvements in water resource allocation have been made, reducing the risks associated with pollution factors through increased water volume and dilution effects, thereby ensuring the supply and safety of drinking water downstream of Shanghai. The stable proportion of GDP in the YZR Economic Belt indicates a balanced relationship between economic development and the ecological protection of water resources. While maintaining economic growth, downstream cities also prioritize environmental protection and water resource management.
Figure 8 clearly shows that the overall ecological security status of water resources in the YRB has been developing at an accelerated pace, trending towards overall coordinated development by 2019, with mutual promotion between socioeconomic and water resources. This trend can be attributed to various factors. This positive influence is exemplified in agricultural water use efficiency, which has improved in recent years due to various factors, such as changes in agricultural production methods, organizational structures, cropping patterns, and water-saving practices. As a result, the negative impact of the proportion of the output value of the primary industry on water resource efficiency has been mitigated.
Ecological security status of water resources in the YRB in 2019(map were generated with software ArcMap10.4 http://www.esri.com/ ).
However, despite efforts, China still faces serious water pollution issues, with poor water environmental quality and significant pollution discharge loads from industrial, agricultural, and domestic sources. These factors pose severe challenges to the ecological security of water resources. To address these challenges, China has formulated a series of plans aimed at strengthening water pollution prevention and control and ensuring national water resource ecological security. These plans were officially announced and implemented after 2015.
Based on the analysis results, each province and city in the YRB should embrace a people-centred approach to new urbanization and the scientific development concept of water resource protection and utilization. While focusing on promoting new urbanization construction, efforts should be intensified to enhance ecological environmental protection and explore new paths for coordinated regional economic development and resource utilization. Provinces and cities should rely on the golden waterway of the YZR to establish cross-regional and cross-provincial basin cooperation mechanisms and long-term mechanisms, actively promoting coordinated development among the three major regions of the YRB.
Against the backdrop of the global environmental crisis, the Lancang-Mekong River, as Asia’s largest transboundary river, also faces certain water security issues. Specifically, the “status” of water resources is relatively low, as manifested by the polluted state of the water quality of the river. Additionally, factors such as the uneven distribution of precipitation within the year and the weakness of storage facilities such as wetlands and reservoirs contribute to seasonal water shortages and serious water disasters in the basin. Moreover, the response levels of basin countries are limited, and there is room for improvement in the level of water resource management. Countries in the Lancang-Mekong River Basin are in a stage of rapid economic and social development, and population growth, economic activities, and changes in land use (such as urbanization) will have direct or indirect impacts on water resources in the basin. The Ganges River Basin faces similar ecological and environmental problems. In recent years, India’s economic prosperity and urbanization process have had significant impacts on the Ganges River Basin. Soil erosion and insufficient drinking water under population pressure have plagued the people of the Ganges River Basin. Additionally, the serious problem of surface water pollution caused by the discharge of industrial and domestic wastewater has led to a certain degree of land salinization.
Climate change, land use, human consumption of water resources, and government management of water resources are all factors that can directly or indirectly affect the water security situation in a region. Given that the Lancang-Mekong River spans China and five Southeast Asian countries, its water resource ecological security is particularly influenced by socioeconomic factors. Therefore, we believe that the methods we propose are equally applicable to the evaluation of water resource ecological security in this basin. By introducing the Lotka–Volterra symbiotic model and using the DPSIR model to construct a system of evaluation indicators for the symbiosis between socioeconomic factors and water resources in the study area, this system will help us to thoroughly assess the water resource ecological security of the Lancang-Mekong River Basin and provide a scientific basis for the implementation of region-specific water security strategies. These approaches are highly important for promoting regional sustainable development and maintaining basin ecological security.
Research has revealed that over a decade ago, the water resource ecological security status in the YRB initially fell within a relatively poor range. However, with close attention from the government and the implementation of various regulations, as well as active participation from the public in protecting the YZR, the water resource ecological security status in the YRB has improved rapidly. It is now generally maintained at levels of safety or near safety, with prospects for further improvement in the future. Comprehensive analysis of data from 2010 to 2019 revealed continuous trends in improvement in water resource security. To further enhance water resource security, we propose the following recommendations:
The industrial structure should be adjusted to achieve sustainable utilization of water resources. Governments should strongly support the green economy and environmental protection industries by providing tax incentives for enterprises, encouraging them to invest in water resource management and protection projects. By establishing corresponding financial funds and reward mechanisms, more social forces can be guided to participate, achieving a mutually beneficial outcome for water resource security and economic development. The Chinese government has called for all citizens to actively respond to carbon peak and carbon neutrality strategies and has formulated specific and feasible emission reduction plans. Enterprises are encouraged to adopt clean production technologies to improve resource utilization efficiency and achieve carbon emission reduction goals. There should be a focus on strengthening sewage resource utilization, integrating atypical water sources into unified water resource allocation, and encouraging locations with the necessary conditions to fully utilize unconventional water sources. Water-deficient cities should actively expand the scale and scope of recycled water utilization. The principles of demand-driven supply, water quality division, and local utilization should be followed to promote the use of recycled water in industrial production, municipal miscellaneous use, land greening, ecological replenishment, and other areas.
Focusing on agricultural water use and preventing water source pollution. As one of the main rice-producing regions in China, to further enhance water resource security in the YRB, agricultural measures should be taken. With respect to water conservation, water-saving irrigation techniques combined with smart irrigation systems should be adopted to achieve precise irrigation and improve water resource utilization efficiency. Moreover, enhancing rainwater collection and utilization by establishing rainwater collection systems and storing water for agricultural irrigation can effectively utilize rainwater resources and alleviate irrigation pressure during the dry season.
Agricultural pesticide use is also an issue that cannot be ignored. Excessive use and improper handling of pesticides can often lead to serious water pollution, posing a threat to the water resource security of the YRB. To address this issue, we need to strengthen pesticide use management, promote scientific pesticide application techniques, reduce excessive pesticide use, raise farmers' environmental awareness to prevent pesticide waste from being directly discharged into water bodies, and strengthen water quality monitoring and treatment to promptly detect and address pesticide pollution problems.
Improve people’s education level and strengthen environmental awareness. As people's living standards and education levels improve, concerns about ecological water security have increased, and higher demands are being placed on water safety and quality. The incomplete assessment and mismanagement of water resources, coupled with wasteful practices, have led to water resources becoming uncontrollable variables. Recognizing, measuring, and expressing the value of water and incorporating it into decision-making processes are particularly important against the backdrop of increasingly scarce water resources, population growth, and the pressures of climate change. It is essential to achieve sustainable and equitable water resource management and meet the development goals of the United Nations' 2030 Agenda.
Actively participate in international ecological construction. According to Maximo Torero of the FAO, strengthening water resource protection and management requires enhanced cooperation among countries, the integration of various stakeholders' interests, multipronged approaches, and the consideration of social, economic, and environmental factors. It also involves a focus on technology, legal frameworks, and overall policy environments. We recommend that governments actively engage in international cooperation projects, sharing experiences and technologies in managing water resources in the YRB while drawing lessons from successful ecological initiatives in other countries. Such cross-border collaboration can foster global ecological sustainability, address global environmental issues collectively, share innovative technologies and research achievements, and achieve global governance of ecological environments.
Our data is sourced from the provincial data in the China Statistical Yearbooks from 2011 to 2019 published by the National Bureau of Statistics of China ( https://www.stats.gov.cn/sj/ndsj/ ), as well as the Water Resources Bulletins ( http://www.mwr.gov.cn/sj/tjgb/szygb/ ). Figures 6 , 7 , and 8 were created by us using ArcGIS 10.4 software, which is provided by the Environmental Systems Research Institute, Inc. (commonly known as ESRI). Our vector boundary data and the Yangtze River data are sourced from the National Catalogue Service For Geographic Information ( www.webmap.cn ), using the 1:1,000,000 public version of basic geographic information data (2021). The tiled data is processed according to GB/T 13989-2012 “National Fundamental Scale Topographic Map Tiling and Numbering”.
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This research was supported by the Project of Social Science Foundation of Jiangsu Province (No. 22TQC005).
These authors contributed equally: Jie-Rong Zhou and Xiao-Qing Li.
Nanjing Xiaozhuang University, Nanjing, 211171, Jiangsu, China
Jie-Rong Zhou, Xiao-Qing Li, Xin Yu & Tian-Cheng Zhao
School of Information Management, Nanjing University, Nanjing, 210023, Jiangsu, China
Wageningen University and Research, 6700 AA, Wageningen, The Netherlands
Wen-Xi Ruan
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Conceptualization, J.Z. and X.Y.; methodology, J.Z. and X.L.; software, W.R.; writing—original draft preparation, X.L. and X.Y.; writing—review and editing, X.L., X.Y. and J.Z.; visualization, T.Z.; supervision, X.Y.; project administration, X.Y.; funding acquisition, X.Y. All authors have read and agreed to the published version of the manuscript.
Correspondence to Xin Yu .
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Zhou, JR., Li, XQ., Yu, X. et al. Exploring the ecological security evaluation of water resources in the Yangtze River Basin under the background of ecological sustainable development. Sci Rep 14 , 15475 (2024). https://doi.org/10.1038/s41598-024-65781-z
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DOI : https://doi.org/10.1038/s41598-024-65781-z
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This paper aims to analyse the quality of green accounting disclosure and provide insight into the perceptions of corporate insiders and academics about the challenges that impede green accounting information disclosures in an emerging economy, India. Content analysis was used to evaluate the degree of disclosure of green accounting data in yearly reports. Ten prominent managers and academics (subject experts) participated in partially structured interviews that aided in interpreting the difficulties associated with disclosing green accounting data. The results suggest that green accounting data disclosure is in its early stages in India. Companies focus more on disclosing environmental policies and responsibilities while ignoring environmental financial information. The significant challenges that obstruct the growth of green accounting statistics and data divulgence include the following: the absence of precise legal requirements about green accounting, inadequate green accounting and reporting theory, lack of knowledge, shortage of environmental accountants, unclear and conflicting job roles, cost concerns of the companies, deficiency of government-funded incentives and robust non-governmental organisations, and the fear of change. The research should be valuable for regulatory authorities because green accounting standards are currently developing, and it can aid company executives due to the cautious deliberation of revelations. This study employs a multidimensional index to assess the green accounting disclosure practices of top-ranking firms in the manufacturing division dealing in industrial equipment from both a quantitative and qualitative standpoint in the institutional theory framework. It documents how the challenges of green accounting disclosure may lead to explicative strategies by various actors, thereby contributing to shaping green accounting information disclosure norms.
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---|---|---|
Environmental policy and responsibility | Independent social responsibility report | – |
Environmental protection principles, goals and systems | Standards formulated by the corporate strategic unit pertaining to environmental protection work | |
Disclosure and implementation of environment-related regulations and laws | Include corporate environmental legislation and their enforcement | |
Environment protection plans and environmental concerns | – | |
Environmental management system certification | Environmental professional certificates | |
Environmental management structure | Whether the company has an environmental protection department or a dedicated employee | |
Resolution of environmental issues of stakeholders | Creditors, borrowers, investors, and upstream and downstream firms are the primary stakeholders | |
Production and sales activities effect on environment | Include resource use and pollution | |
Publicity and training on environmental protection conceptions | Enterprise-sponsored environmental education and preservation efforts | |
Threat from environmental policies | Refers to the unfavourable effect of present or newly introduced regulations on firms’ environmental protection status | |
Environmental performance information | “Three wastes” emissions | Three wastes emissions from industry (Solid, water, gas waste) |
“Three simultaneities” implementation | Means the pollution protection facilities will be conceived, built, and used alongside the main project | |
Energy usage and efficiency | – | |
Recycling status | Recapturing and reusing manufacturing scraps, wastes, and pollutants by businesses | |
Environmental financial information | Environmental assets | |
Environmental liabilities | ||
Environmental rights | ||
Environmental costs | ||
Environmental income | ||
Environmental information compilation process | Monitoring and supervision of internal corporate environment system | Enterprises with environmental management guidelines or departments should report on the formulation and administration of relevant systems, including the execution of environmental management systems by different departments and any infractions |
Compliance with environmental information | The organization must explain in detail the principles it uses to compile environmental accounting information, such as whether or not it follows the recognition of revenue guidelines when calculating environmental subsidies it receives or whether or not it capitalises environmental investments | |
Methods for verifying environmental information, and other guidelines | – | |
Environmental statistics disclosure procedure | Government audits | – |
Third party audits | This is a reference to the business having received an unqualified audit report from a certified public accountant | |
Internal audits | The assessment and assurance made by management on the accuracy of company environmental accounting data | |
Environmental information disclosure veracity | Key environmental mishaps | Refers to an enterprise-unreported major environmental mishap |
Environmental lawsuit | Refers to a significant environmental accident that is prosecuted | |
Negative business media coverage | – |
Interview guide
Preliminary remark: “given the definition of green accounting information disclosure….”
Definition of green accounting disclosure provided to the interviewees is as follows:
“Green accounting disclosure includes reporting financial and non-financial information in yearly and communal responsibility reports (Abdullah 2018 ; Jhamb and Aggarwal 2019 ; Cho et al. 2022 ). Financial aspect of green accounting information refers to environmental expenditures devoted to the preservation of the environment, including environmental expenses and investments, environmental liabilities included in the balance sheet, income statements and notes added to financial statements or disclosed in annual reports. Non-financial green accounting information includes soft disclosure on aspects such as: environmental protection principles, goals and systems, disclosure and implementation of environmental laws and regulations, environmental protection plans and environmental issues, environmental management system certification, environmental management structure and status, evaluation and supervision of environmental issues of stakeholders, environmental impact of production and sales activities, education on environmental protection concepts (Senn and Giordano-Spring 2020 ).”
How do you deal with the environmental problems in your organization?
Which management tools do you use to tackle the environment related issues in the organization?
Is there any different between green accounting information disclosure and environmental information disclosure?
Can you provide a description of the process of disclosing information related to green accounting? Have you established dedicated information systems for comprehending and assessing such information? If yes, what are the steps and procedures that are implemented?
What is the methodology used to estimate green accounting information? Do you employ the services of a specialist?
When did the company begin disclosing green accounting information in its annual report, stand-alone sustainability reports, and website? How was this choice made?
Which guidelines do you follow for disclosure?
Have you received any training in green accounting and reporting area? If so, could you kindly elaborate?
Who participate in the decision-making process regarding the information? What is your designated function or responsibility? What are the respective functions of other actors?
When it comes to the annual report, whose decision is it to include this information? Are you a part of a team focusing on green accounting and reporting, or sustainable development?
Which external stakeholders have a greater interest in this information? What do you believe their expectations are?
What is the relationship of the organization with auditors? Are there any concerns or challenges brought up by the auditors?
What is the rationale behind the company’s decision to disclose said information?
Do you engage in benchmarking activities to evaluate your practises against those of other companies?
Do you think it is necessary to modify the existing regulations? In what manner, precisely?
Which type of green accounting information (financial/physical) do you think should be given preference and why?
Do you think organizations are reluctant in disclosing monetary information related to environmental activities? If yes, what is the reason you think?
Which factors are limiting the organizations in disclosing quality green accounting information?
Which factors play more significant role in promoting the disclosure of green accounting information? Internal factors (within the organization) and external factors (at the country level).
What do you think government can do to improve the disclosure practices of such information?
Revised interview guide:
Q1. What is your organization’s approach to tackling environmental issues??
Probing Questions:
Which particular environmental challenges has your organisation faced?
Can you provide an overview of the strategies or initiatives implemented to effectively manage and mitigate these challenges?
Q2. What specific management tools does your organisation employ to address environmental concerns?
Could you please provide specific examples of tools or methodologies that are used in this context?
How do you incorporate these tools into your overall management practices?
Q3. What distinguishes green accounting information disclosure from environmental information disclosure?
How does your organisation differentiate between these two types of disclosures?
Are there established criteria or standards that are adhered to for each type of disclosure?
Q4. Can you describe the process of disclosing information related to green accounting?
Are there specific information systems designed to understand and evaluate this information?
What are the specific steps and procedures that are typically followed in the disclosure process?
Q5. What methodology is used to calculate green accounting information, and do you engage specialists?
Could you provide further details on the precise methodologies or models employed?
How does the participation of experts enhance the precision of the estimates?
Q6. When did the company decide to begin disclosing green accounting information, and what factors led to this decision?
Was there a particular incident or trigger that caused disclosure to begin?
How has the method of disclosure evolved over the years?
Q7. What disclosure policies does your company adhere to?
Are these policies derived from internal development or grounded in external standards?
How do you ensure compliance with these policies?
Q8. Have you had formal training in the field of green accounting and reporting?
What specific sort of training was offered, and in what ways has it enhanced your performance in your current position?
Are there any current training programmes in place to promote continual improvement?
Q9. Who takes part in the decision-making process pertaining to green accounting information?
What is your assigned role and duty in this process?
What is the extent of involvement of other players in decision-making?
Q10. The responsibility for include green accounting information in the annual report lies with whom?
Is there a specialised staff that only focuses on green accounting and reporting?
How is the decision-making process structured?
Q11. Which external stakeholders exhibit a heightened interest in green accounting information, and what are their specific expectations?
How do you interact with stakeholders in order to comprehend their expectations?
Are there any designated ways for receiving feedback?
Q12. What is the organization’s relationship with auditors, and have any concerns been raised by them?
What is the role of auditors in ensuring the accuracy and reliability of disclosed information?
Have auditors encountered any challenges or provided any recommendations?
Q13. What is the purpose behind the company’s choice to provide green accounting information?
Probing Questions
How does disclosure correspond with the overarching corporate strategy?
Are there explicit aims or objectives associated with disclosure?
Q14. Do you partake in benchmarking endeavours to evaluate your practices in comparison to those of other companies?
What specific areas or metrics are benchmarked?
How does benchmarking plays a vital role in facilitating ongoing development?
Q15. Do you believe it is essential to revise present regulations pertaining to the disclosure of green accounting information?
How do you propose enhancing regulations?
What are the potential benefits of regulatory changes on disclosure practices?
Q16. What are the constraints that restrict organisations from sharing high-quality green accounting information?
Q17. Which factors have a greater influence on encouraging the dissemination of green accounting information?
Consider the internal factors within the organisation.
Examine the external factors on a national level.
Q18. What measures do you believe the government can take to enhance the transparency of green accounting information disclosure?
Do you have any particular policies or initiatives in mind that you think might be successful?
How might government help effectively enhance disclosure practices?
Criteria | Indicator | Firm A | Firm B | Firm C | Firm D | Firm E | Firm F | Firm G | Firm H | Firm I | Firm J | Average scores (percentage) | Average scores rounded to nearest percentage |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Year | 2022 | 2022 | 2022 | 2022 | 2022 | 2022 | 2022 | 2022 | 2022 | 2022 | |||
Environmental policy and responsibility | Independent social responsibility report | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | ||
Environmental protection principles, goals and systems | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | |||
Disclosure and implementation of environmental laws and regulations | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |||
Environmental protection plans and environmental issues | 1 | 1 | 1 | 2 | 1 | 1 | 2 | 1 | 1 | 1 | |||
Environmental management system certification | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 1 | 1 | 2 | |||
Environmental management structure and status | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |||
Evaluation and supervision of environmental issues of stakeholders | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | |||
Environmental impact of production and sales activities | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |||
Propaganda and education on environmental protection concepts | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | |||
Environmental policy risk | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | |||
Total score | 15 | 14 | 13 | 13 | 13 | 13 | 15 | 11 | 12 | 13 | |||
Maximum score | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | 20 | |||
Percentage score | 75 | 70 | 65 | 65 | 65 | 65 | 75 | 55 | 60 | 65 | 66 | 66 | |
Environmental performance information | “Three wastes” emissions | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | ||
“Three simultaneities” implementation | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |||
Energy consumption and efficiency | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |||
Recycling situation | 2 | 1 | 2 | 2 | 2 | 1 | 1 | 2 | 2 | 2 | |||
Total score | 4 | 4 | 3 | 4 | 3 | 2 | 2 | 4 | 5 | 4 | |||
Maximum score | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 | |||
Percentage score | 50 | 50 | 37.5 | 50 | 37.5 | 25 | 25 | 50 | 62.5 | 50 | 43.75 | 44 | |
Environmental financial information | Environmental assets | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | ||
Environmental liabilities | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Environmental rights | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | |||
Environmental costs | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | |||
Environmental income | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Total score | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |||
Maximum score | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | |||
Percentage score | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | 10 | |
Environmental information compilation process | Internal control of environmental work | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | ||
Statement on environmental information compliance | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | |||
Other instructions to confirm the reliability of environmental information | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Total score | 0 | 0 | 2 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | |||
Maximum score | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | |||
Percentage score | 0 | 0 | 33.33333 | 0 | 16.6667 | 16.66667 | 16.66667 | 16.666667 | 16.66667 | 16.66667 | 13.33333333 | 14 | |
Environmental information disclosure process | Government audits | 2 | 2 | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 2 | ||
Third party audits | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |||
Internal audits | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | |||
Total score | 4 | 4 | 4 | 4 | 3 | 3 | 4 | 4 | 4 | 4 | |||
Maximum score | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | |||
Percentage score | 66.66667 | 66.6667 | 66.66667 | 66.66667 | 50 | 50 | 66.66667 | 66.666667 | 66.66667 | 66.66667 | 63.33333333 | 64 | |
Environmental information disclosure veracity | Major environmental accidents | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
Environmental litigation | 2 | 1 | 1 | 1 | 2 | 2 | 1 | 1 | 1 | 1 | |||
Negative media reports on enterprise environment | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Total score | 2 | 1 | 1 | 1 | 2 | 2 | 1 | 1 | 1 | 1 | |||
Maximum score | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | |||
Percentage score | 33.33333 | 16.6667 | 16.66667 | 16.66667 | 33.3333 | 33.33333 | 16.66667 | 16.666667 | 16.66667 | 16.66667 | 21.66666667 | 22 |
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Khan, S., Gupta, S. & Gupta, V.K. Unveiling the black box of green accounting information disclosure: an analysis of disclosure diversity and difficulties from a developing economy perspective. Int J Discl Gov (2024). https://doi.org/10.1057/s41310-024-00255-2
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Table of contents. Step 1: Introduce your topic. Step 2: Describe the background. Step 3: Establish your research problem. Step 4: Specify your objective (s) Step 5: Map out your paper. Research paper introduction examples. Frequently asked questions about the research paper introduction.
Define your specific research problem and problem statement. Highlight the novelty and contributions of the study. Give an overview of the paper's structure. The research paper introduction can vary in size and structure depending on whether your paper presents the results of original empirical research or is a review paper.
Research paper introduction is the first section of a research paper that provides an overview of the study, its purpose, and the research question (s) or hypothesis (es) being investigated. It typically includes background information about the topic, a review of previous research in the field, and a statement of the research objectives.
This paragraph should both attract the reader's attention and give them the necessary information about the paper. In any academic paper, the introduction paragraph constitutes 10% of the paper's total word count. For example, if you are preparing a 3,000-word paper, your introduction paragraph should consist of approximately 300 words.
The introduction leads the reader from a general subject area to a particular topic of inquiry. It establishes the scope, context, and significance of the research being conducted by summarizing current understanding and background information about the topic, stating the purpose of the work in the form of the research problem supported by a hypothesis or a set of questions, explaining briefly ...
Step 2: Building a solid foundation with background information. Including background information in your introduction serves two major purposes: It helps to clarify the topic for the reader. It establishes the depth of your research. The approach you take when conveying this information depends on the type of paper.
After you've done some extra polishing, I suggest a simple test for the introductory section. As an experiment, chop off the first few paragraphs. Let the paper begin on, say, paragraph 2 or even page 2. If you don't lose much, or actually gain in clarity and pace, then you've got a problem. There are two solutions.
In general, your introductions should contain the following elements: When you're writing an essay, it's helpful to think about what your reader needs to know in order to follow your argument. Your introduction should include enough information so that readers can understand the context for your thesis. For example, if you are analyzing ...
Download Article. 1. Announce your research topic. You can start your introduction with a few sentences which announce the topic of your paper and give an indication of the kind of research questions you will be asking. This is a good way to introduce your readers to your topic and pique their interest.
Be succinct - it is advised that your opening introduction consists of around 8-9 percent of the overall amount of words in your article (for example, 160 words for a 2000 words essay). Make a strong and unambiguous thesis statement. Explain why the article is significant in 1-2 sentences. Remember to keep it interesting.
3. Lay out your argument and plan. After showing your reader the existing knowledge on the topic, you can turn to how your paper will contribute new knowledge. Tying your research to previous research is the most important aspect of this step. Explain what knowledge is missing from the existing research and how you plan to uncover that knowledge.
Know that for a longer report, your introduction might be more than one paragraph (see sample below). Procedure. Before you write, consider the following: 1. Choose a research topic that interests you and is relevant to your field of study. For instance, a topic could be abandoned gas wells in Adams County, Colorado. 2.
3. Include signposts. A strong introduction includes clear signposts that outline what you will cover in the rest of the paper. You can signal this by using words like, "in what follows," and by describing the steps that you will take to build your argument. 4. Situate your argument within the scholarly conversation.
Narrow the overview until you address your paper's specific subject. Then, mention questions or concerns you had about the case. Note that you will address them in the publication. Prior research. Your introduction is the place to review other conclusions on your topic. Include both older scholars and modern scholars.
Generally, the introduction helps you to show your audience why your research topic is worth exploring. It gives you the chance to convince your reader why they should stick around and see what you have to say. The first 1-2 sentences of your introduction should give an elevator pitch of your work. Be clear, relevant, and to the point.
The introduction is an important and challenging part of any research paper as it establishes your writing style, the quality of your research, and your credibility as a scholar. It is your first chance to make a good impression on your reader. The introduction gives the reader background and context to convey the importance of your research. It
Chris A. Mack. SPIE. 2018. Indicate the field of the work, why this field is important, and what has already been done (with proper citations). Indicate a gap, raise a research question, or challenge prior work in this territory. Outline the purpose and announce the present research, clearly indicating what is novel and why it is significant.
Dr. Elizabeth M. Minei. "A strong introduction to a research paper should probably be written last. The introduction needs to include: 1) what the topic is focused on, 2) how the research was conducted (method), 3) what the findings are (generally), 4) and how the paper contributes to the overall field.
An effective Introduction builds off related empirical research and demonstrates a gap in which the current study fills. Finally, the Introduction proposes the research question (s) which will be answered in subsequent sections of the paper. A strong Introduction also requires the use of a simple and well-organized format as well as the ...
Author content. Content may be subject to copyright. How to Write a Resear ch Paper Introduction. Step 1: Introduce your topic. The first job of the introdu ction is to tell the reader what your ...
The introduction serves the purpose of leading the reader from a general subject area to a particular field of research. It establishes the context of the research being conducted by summarizing current understanding and background information about the topic, stating the purpose of the work in the form of the hypothesis, question, or research problem, briefly explaining your rationale ...
The introduction of a research paper includes several key elements: A hook to catch the reader's interest. Relevant background on the topic. Details of your research problem. and your problem statement. A thesis statement or research question. Sometimes an overview of the paper.
Introduction • Provides background and context • Shows the "family tree" of knowledge about the paper topic • Poses research question • Justifies significance of study Method • Provides step-by-step directions ("map" of the study) • Describes who was in the study (participants) and what they did (materials and procedures)
An abstract in research papers is a keyword-rich summary usually not exceeding 200-350 words. It can be considered the "face" of research papers because it creates an initial impression on the readers. While searching databases (such as PubMed) for research papers, a title is usually the first selection criterion for readers.
Curiously, these are not words related to the scientific content of a paper but to writing style. Indeed, the researchers suggest that these are exactly the kind of words favored by Large Language ...
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As always, proper grammar and sentence structure should be present throughout. As with all of your essays, use 12 point Times New Roman font, double space, and have one inch margins. All format should adhere to MLA standards. The paper should be 3-5 pages in length. All papers must be submitted in iCollege before midnight on the due date.
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