Ecological Environmental Governance Research Articles

Remote sensing estimation of δ15NPN in the Zhanjiang Bay using Sentinel-3 OLCI data based on machine learning algorithm

Remote sensing estimation of δ15NPN in the Zhanjiang Bay using Sentinel-3 OLCI data based on machine learning algorithm

Green investment products, consumer behavior, and regional carbon emissions levels

Green investment goods are crucial in fostering sustainable economic growth by focusing on ecological conservation and environmental governance. We use panel data from 30 provinces and cities in China from 2010 to 2022 to construct a simultaneous NARDL equation model. The findings show green investments positively affect clean energy and economic growth.Consumer behavior and GDP show a positive U-shaped link, while carbon emissions versus GDP follow an inverted U-shaped EKC pattern. Based on the study findings, green investment is recommended to stimulate consumer behavior and foster economic development effectively.

Spatiotemporal Evolution of Ecological Environment Quality and Driving Factors in Jiaodong Peninsula, China

To monitor the Ecological Environment Quality (EEQ) of the Jiaodong Peninsula and provide a scientific basis for ecological environment governance and sustainable development in the region, this study evaluates the EEQ of Jiaodong using the Remote Sensing-based Ecological Index (RSEI) model and analyzes its spatiotemporal evolution patterns, building upon single-factor correlation analysis using the Random Sample Consensus (RANSAC) algorithm, using GeoDetector to analyze the driving mechanisms of human activities and natural factors in EEQ. The results indicate the following: (1) The average RSEI values for 2000, 2010, and 2020 are 0.60, 0.57, and 0.66, with Good or Excellent areas accounting for 56.48%, 51.02%, and 67.17%. From 2000 to 2020, RSEI strong improvement areas were predominantly distributed in the eastern hilly areas of the Jiaodong Peninsula. The RSEI of the Jiaodong Peninsula showed significant spatial autocorrelation. (2) The RANSAC algorithm effectively reduces noise interference in remote sensing data, thereby improving the accuracy of single-factor correlation analysis. (3) In 2000, the importance of natural factors exceeds that of human activity factors. The Standardized Precipitation Evapotranspiration Index (SPEI) is the most important driving factor; while in 2010 and 2020, human activity factors surpass natural factors in importance, with the Land Use Composite Index (LUCI) being the most significant driving factor. The driving factors exhibited double-factor and nonlinear enhancement. The most significant interaction factors affecting the EEQ of the Jiaodong Peninsula in 2000, 2010, and 2020 are SPEI∩GDP, LUCI∩SPEI, and LUCI∩GDP.

Factors influencing marine ecological environment governance toward sustainability: a case study of Zhejiang Province

At present, the marine ecological environment is facing enormous pressure from human activities, and there is an urgent need for coordinated governance by multiple entities to ensure that the marine ecological environment can continuously meet the needs of sustainable development. Marine ecological environmental governance plays multiple roles in the sustainable development of the ocean characteristics. Most existing studies have explored this field from the perspective of the government and public, while failing to adequately account for the factors influencing enterprises’ participation in marine ecological environmental governance. This paper is an effort to provide some empirical research on the influencing factors of enterprises’ participation in marine ecological environmental governance. Based on existing literature, empirical research (213 middle managers were surveyed from 68 coastal enterprises in Zhejiang, China), this study extracts eight core factors that influence corporate participation in marine ecosystems and uses the Fuzzy Decision-making Trial and Evaluation Laboratory approach (Fuzzy DEMATEL). Furthermore, experts from Chinese backgrounds elucidated the complex interdependencies among the factors, based on which key influencing factors were identified. The empirical results indicate that government attention and support, legal and regulatory requirements, and cost-benefit accounting have a positive net effect on corporate participation in marine ecosystem management; when these factors are improved, they drive improvements in other factors(Corporate Capital Capability, Corporate Social Responsibility, Government Enforcement and Appraisal, The Attention of Corporate Leaders, Corporate Internal Management System). Additionally, interviews with Chinese business people support the robustness of the findings and suggest that policymakers cannot ignore government enforcement and assessment efforts. Overall, the study findings can help advance corporate participation in marine environmental governance.

Pathways to enhance the efficiency of forestry ecological conservation and restoration: empirical evidence from Heilongjiang Province, China

This paper proposes a theoretical framework for assessing ecological protection and restoration from the perspective of ecological efficiency. We applied the super-efficiency Slack-based measure model to examine the social and economic impacts of ecological resource consumption transformation in Heilongjiang Province, China. Additionally, a convergence analysis was used to evaluate and test the impact of the standard deviation ellipse method on regional sustainability. The results indicated that the land use structure was unstable; the conversion rate of resource consumption was low; and the average Ecological efficiency was only 0.343 in terms of the land use structure. Funds for forest ecological restoration have a significant impact on the effectiveness of ecological resource transformation. Implementing the Chinese ecological restoration project improves the ecological efficiency level of the communities. The center of gravity of ecological efficiency moved greatly in the years when forestry investment increased. Technological transfer and diffusion, experience imitation in environmental regulation, and eventually convergent steady-state levels of the ecological efficiency of different regions are necessary to improve the economic and social development level of regions with low environmental quality efforts should be made to reduce resource consumption intensity, increase fund utilization efficiency, and form a comprehensive and systematic system of ecological environment governance through reasonable enhancement of regional environmental regulations, increased investment in technological advancement, and funds for ecological protection and restoration.

Conflict analysis of multiple decision-makers ecological environment governance of water resources based on graph model with heterogeneous preference in China's South-to-North water transfer project

Ecological environment governance of water resources is the foundation and key measures to ensure good water quality in China's South-to-North Water Transfer Project. However, as a limited rational economic person, considering their economic benefit, different involvers in China's South-to-North Water Transfer Project show different types of preference relations and make different action decisions as well as play conflicts with each other, which have a negative effect on ecological environmental governance. To overcome above-described shortcomings, heterogeneous preferences are integrated into graph model for conflict resolution (GMCR) to resolve ecological environment governance conflict of water resources. Specifically, first, four different structures of preference expression, including preference orderings, utility functions, multiplicative preferences, and additive preferences, are used to represent decision-maker's (DM's) preference information over states. Then, a novel preference ranking method is designed to calculate the ordinal preferences over all states by using matrix representation. Based on this, a set of heterogeneous stability definitions is proposed in GMCR to describe human diversified choice and behavior in detail, and it is applied to the ecological environment governance conflict of water resources in China's South-to-North Water Transfer Project. The heterogeneous stability analysis result showed that incentive policies used by water resources agencies can effectively encourage local governments and enterprises to actively participate in the ecological environment governance, and promote the ecological environment governance conflict to evolve into a state of equilibrium.

Study on Ecological Environment Control in the Three Gorges Reservoir Area—A Case Study of Water Level Zone Control

On ecological environment governance, the General Secretary has repeatedly put forward the ecological concept of "green mountain is gold mountain and silver mountain". After the completion of the Three Gorges Dam and the storage of the reservoir, a water-level zone with a drop of up to 30m has been formed. This paper discusses a series of problems in the treatment of water-level zone, such as the slow progress of the work, the existence of secondary pollution and the lack of relevant support, and puts forward measures to strengthen management, environmental monitoring and vegetation restoration in view of the existing problems.

Evolutionary Game Analysis of Ecological Governance Strategies in the Yangtze River Delta Region, China

Under integrated ecological and green development in the Yangtze River Delta, the regional ecology is adversely affected by ineffective synergistic governance. Regional environmental governance is a collaborative process involving multiple stakeholders and mutual engagement, with each participant pursuing their interests and common goals simultaneously. This study employed stakeholder theory. A tripartite evolutionary game model of the public, enterprises, and local governments was constructed to analyze the behavioral strategies and influencing factors for the parties involved, and the impacts of key factors on the stability of the evolutionary game system were evaluated. The results indicate that ecological environmental governance in the Yangtze River Delta region is a complex and evolving system involving multiple stakeholders, within which system stability is influenced by stakeholders’ behavioral strategies. The interests of each party are affected by the cost of public involvement in ecological environment governance and the benefits and subsidies that enterprises receive for active environmental governance. The costs and penalties paid by local governments for lax regulations impact their behavioral strategies. This study provides policy recommendations for ecological governance in the study region, including the government–enterprise co-construction of liquid regulatory funds, government–enterprise–public partnerships in low-cost regulatory models, and the sharing of high-quality regulatory outcomes.

Highly Emissive and Robust Cd-Based MOF with an Unprecedented Topology for Tetracycline Sensing.

Herein, an unprecedented cadmium-based metal-organic framework (JNU-106) fabricated by utilizing pyrazole-functionalized tetraphenylethylene ligands (Py-TPE) and rod-shaped secondary building units is reported, possessing a new (3,3,3,6,6,8)-connected topological network. Thanks to the ingeniously designed intramolecular charge transfer behavior, which originates from the congruent coplanarity between Py and TPE, JNU-106 exhibits intense green luminescence with a quantum yield increased by 1.5 times. The phenomenon of remarkable fluorescence quenching of JNU-106 reveals that it possesses extremely high anti-interference performance, superior sensitivity, and dedicated selectivity toward tetracycline antibiotics (TCAs) in aqueous solutions, which are comparable to those of the state-of-the-art porous sensing compounds. Taking the theoretical calculations and experimental results into account, the luminescence quenching is mainly attributed to the internal filtration effect and the static quenching effect. Considering the portable and rapid performance of JNU-106-based testing strips for sensing TCAs, the fabricated JNU-106 provides an alternative for ecological monitoring and environmental governance.

Evaluation and optimization of ecological spatial resilience of Yanhe River Basin based on complex network theory

The loess hilly and gully areas have broken terrain, vertical and horizontal ravines and fragile ecological environments. Improving the resilience of the regional ecological space is conducive to improving the quality of the local ecological environment. With the ecological space of the Yanhe River Basin selected as the research object, this paper constructs a research framework of "network identification topology-resilience evaluation-spatial optimization" and uses morphological spatial pattern analysis (MSPA) and the minimum cumulative resistance model (MCR) to identify ecological spatial networks. Based on circuit theory, the ecological pinch point is identified, the ecological spatial network is optimized, and scenario simulation is performed. Through complex network theory and related indicators, the ecological spatial resilience of the basin is evaluated, and the hierarchical optimization strategy of the ecological space is confirmed. According to the ecological function of the source area and the results of the resilience evaluation, the boundaries of the protected control area, guidance development area, remediation area, and maintenance and improvement area of the basin are delineated. The importance of ecological source and corridor protection is classified, and corresponding protection strategies are proposed. The research results can provide theoretical support and practical guidance for the territorial spatial planning and ecological space construction of the Yanhe River Basin and provide a reference for the ecological restoration, resource development and environmental governance of the Yanhe River Basin.

Spatial and Temporal Evolution and Impact Factors Analysis of Ecosystem Service Value in the Liaohe River Delta over the Past 30 Years

An in-depth study of the spatiotemporal variation characteristics and driving factors of ecosystem service values in the Liaohe River Delta is of great significance to its ecological environment governance and protection. Based on the land use data of the Liaohe River Delta for seven periods from 1990 to 2020, the ecosystem service value (ESV) was evaluated according to the equivalent factor coefficient correction method, establishing models for estimating the value of ecosystem services; the spatial and temporal evolution characteristics of the ESV in the study area were comprehensively analyzed; and the driving influencing factors and mechanisms of the ESV were explored. The results showed that:① From 1990 to 2020, the most common land use type in the Liaohe River Delta was cultivated land, and the areas of forest land, wetland, and unutilized land showed a decreasing trend; grassland, water, and construction land showed an increasing trend; and the area of cultivated land was basically unchanged during the 30 year period. ② In terms of the temporal evolution, the ESV in the study area showed a trend of first decreasing, then increasing, and then decreasing. In terms of the spatial distribution of ESV, the total value of ecosystem services as a whole showed a spatial divergence pattern of a high value in the southwest and low value in the northeast. ③ The sensitivity index of all land use types in the Liaohe River Delta was less than 1, indicating that the ESV was inelastic. ④ The value of ecosystem services in the Liaohe River Delta showed positive spatial coherence. On the whole, the Liaohe River Delta was dominated by HH and LL clusters, with HL clusters mostly distributed at the boundaries of LL clusters and LH clusters distributed at the boundaries of HH clusters. ⑤ Among the factors influencing the evolution of ESV in the Liaohe River Delta, DEM had the least influence, and HAI had the greatest influence on the ESV, followed by precipitation. The interaction results of all influencing factors had an enhancing effect on the spatial distribution of the ESV, among which HAI and precipitation had the strongest interaction effect, reaching 95.58%.

Research on Co-construction and Sharing of Regional Ecological Environment Governance

Research on Co-construction and Sharing of Regional Ecological Environment Governance

Exploration of Community Governance Paths in Urban Ecosystems Based on KANO-IPA Modeling

Abstract This paper focuses on the research object of urban ecological environment governance on the urban community at the micro level, and pays attention to the problem of the realization path of urban community environment governance. The KANO-IPA model is established to study the urban ecological environment and the needs of community residents, and the importance of the survey data is evaluated by combining the theory of rough numbers to construct the community governance path of the urban ecological environment. The model analyzes the ecological environment of City H in Province A, and 10 communities are governed using the governance path constructed in this paper. The coal industry in City H dominates the economic development, and the total particulate emissions in the city will be 107,173.10 tons in 2021, and the contribution of the industrial emissions to the dustfall of heavy metal Ni will be 77.96%, and at the same time, there is a serious problem of arbitrary tampering with the data of ecological governance. The community governance path constructed in this paper achieves about 80% of resident satisfaction in 10 communities in H city. The governance path proposed by this study can be recognized by residents of the community and is expected to improve the ecological environment of the city.

Dynamic analysis of soil erosion in the affected area of the lower Yellow River based on RUSLE model

With the accelerated development of urbanization, the exploration and usage of land resources is becoming more and more frequent, which leads to the decline of soil quality, resulting in a series of soil ecological issues, such as soil nutrient loss, soil quality degradation and destruction. At present, the contradiction between soil erosion and sustainable development of human society has become one of the hot issues studied by scholars. The Yellow River Basin is an important experimental area for high-quality development in China, constructing the Yellow River Ecological Economic Belt play an important role in China’s regional coordinated development. Although most of the affected area of the Lower Yellow River (AALYR) is in the plain, they have a large population density and are in the historical farming area. In latest years, because of the development and transformation of modern society, their ecological environment has become more fragile and soil erosion problems has become increasingly serious. Studying and analyzing soil erosion is of vital meaning for ecological protection and can provide scientific support for soil conservation work. Depending on the data of precipitation, soil properties, land use, population, etc., this paper studies and analyzes the soil erosion in AALYR from 2000 to 2020 through the RUSLE. We found that during the 20 years the proportion of very slight and slight grade area increased, and the distribution of moderate and above erosion grade was less, mainly in Zibo, Jinan, Anyang, Zhengzhou, and Tai 'an. Nearly three quarters of the regional soil erosion grade didn’t change, apart from the increase of slight grade area, the other erosion grades area showed a downward trend. We take the city, county and town zoning analysis find that as the scale decreases, the area of serious erosion grades increases, and the distribution is gradually detailed. Land use is the main influencing factor of erosion except DEM. Forestland and grassland are larger of the soil erosion in various types of land use. Through these conclusions in this paper, it is promising to provide theoretical references for the ecological environment governance and high-quality and sustainable development of great river basins of the world and similar regions.

Coupling analysis of ecological environment evaluation and urbanization using projection pursuit model in Xi'an, China

With rapid urbanization, more people are migrating to cities, making it an inevitable trend. However, urbanization has significant impacts on the ecological environment. To address this, a sustainable development model is crucial to harmonize urbanization with the ecological environment. Previous studies have focused on selecting assessment indicators, but often overlooked the objective evaluation of component weights. In this study, we developed an assessment model and index system for the urban ecological environment, considering climate, vegetation, air pollution, human activities, and disaster-prone environments based on ecological evaluation theory. The projection pursuit (PP) model was employed to integrate these indicators simultaneously. Using night light data, we evaluated the coordination between the quality of the ecological environment and the current urbanization status of Xi'an, providing recommendations for the city's sustainable development The findings indicate that: 1) The overall ecological environment of Xi'an has shown improvement over time. There has been a noticeable north–south extension of human activity. To protect the urban ecology, it is crucial to establish the Qinling-Lishan Mountain ecological corridor as a significant barrier. This corridor will play a vital role in maintaining and enhancing the ecological balance in the region. 2) Comprehensive Night Light Index of Xi'an increased significantly during the four-year period, indicating accelerated urbanization. The city's expansion towards the west and north will be accelerated, eventually connecting with Xianyang and forming a larger Xi-Xian metropolitan circle. 3) We analyzed the coordinated growth pattern between the city and ecology in Xi'an and provided suggestions for urban ecological environment governance. These findings offer a decision-making framework for future sustainable development.

Promoting or inhibiting: the impact of China's urban-rural digital divide on regional environmental development.

Based on the panel data of 30 provinces in China from 2013 to 2020, this paper uses the panel fixed effect model and threshold regression method to systematically examine the impact of the urban-rural digital divide on regional environmental development from the perspective of technological innovation and human capital. The study found that the urban-rural digital divide significantly inhibited regional environmental development; however, this inhibitory effect will be substantially reduced in technological innovation and human capital adjustment. Furthermore, technological innovation and human capital have played a significant single threshold effect in the impact of the urban-rural digital divide on regional environmental development. When technological innovation and human capital cross the corresponding threshold value, the adverse effects of the urban-rural digital divide on the regional environment will be alleviated. Therefore, it is suggested to strengthen the construction of rural information infrastructure; research and develop key technologies for ecological protection and environmental governance; build an ecological environment science and technology innovation system; and promote the sharing of human resources in the region and the ability of rural residents to apply digital resources and digital technology.

Research on the analysis of the coupling coordination degree of Shaanxi's atmospheric ecological governance and urban clean governance based on environmental sustainability

With the rapid growth of urbanisation, environmental issues such as atmospheric pollution and ecological degradation are becoming increasingly prominent; therefore, it is crucial to investigate the coupled and coordinated development path of atmospheric ecology governance and urban cleanliness governance. This study builds an evaluation index system and applies the entropy value method and the coupled coordination degree model to conduct an in-depth analysis of the comprehensive development level and the coupled coordination relationship between atmospheric ecology and urban cleanliness in Shaanxi between 2011 and 2021. The study's findings indicate that, during 2011–2021, the comprehensive evaluation index of atmospheric ecological governance and urban cleanliness governance in Shaanxi exhibited a gradual upward trend, indicating that certain achievements have been made in atmospheric governance and urban cleanliness in recent years, but that there is still room for further improvement. In particular from 2011 to 2015, atmospheric ecological governance lagged behind, and the initial phase of ecological environmental governance led to a muddled coordination index. Second, between 2016 and 2019, atmospheric ecological governance and urban sanitation governance in Shaanxi entered a mild development phase at the middle stage of governance, and the coordination index tended to increase consistently. Particularly noteworthy is the fact that in 2021, the coordination index tends to be close to 1, which can be attributed to the implementation of large-scale policies that have had significant effects on ecological and environmental governance. The development of atmospheric ecological governance and urban sanitation governance in Shaanxi is comprehensively described using the entropy method and coupled coordination degree analysis. In spite of the fact that the first results of governance have been observed in recent years, it is still necessary to maximise the benefits of ecological governance, further consolidate the results of governance, optimise the governance structure, and aim to meet the ecological environment carbon emission target in the Shaanxi region.

Long-term terrace change and ecosystem service response in an inland mountain province of China

The exploration of terrace change and its associated ecosystem services (ESs) provides invaluable insights into the intricate interplay between engineering initiatives and environmental conditions. This understanding is crucial in designing strategic plans for environmental management. However, how terraced fields area change and influence ESs over an extended period at a regional scale remain relatively unknown. To bridge this knowledge gap, this study focused on terraces in Gansu Province (a typical inland mountain province), Northwestern China, by dividing the study area into seven regions, the quality and value benefits of unit area, the overall and cumulative of terraces were calculated for each region in Gansu province based on remote-sensing data, meteorological data, terraced area and benefits data. In this regard, the distribution, spatiotemporal changes and ESs associated with terraced fields in Gansu were examined from 1990 to 2020. The results show that: (i) terraces with the area of 2.20 × 104 km2 accounts for 81.34 % of counties(districts) of Gansu province in 2020, mainly located in the loess hilly and gully region (82.72 %). (ii) From 1990 to 2020, the terrace area in Gansu expanded from 8.13 × 103 to 2.20 × 104 km2, peaking at 636.73 km2/yr during 1990–2000, with notable spatial heterogeneity. (iii) In terms of ESs’ quality benefits, soil conservation benefits of terraces were the most significant, reaching 91.30–98.32 % per unit area, the cumulative benefits (1990–2020) were 1.82 × 109 t, followed by water conservation benefits (42.12–89.20 % and 2.36 × 1010 m3). (iv) Terraces expansion have increased the ecosystem service value by 815.10 million Dollar ($), with regulating services and habitat services accounting for 34.92 % and 31.92 %, respectively. These results indicate that the enormous potential value of terraces in ecological environment governance and ecological economic benefits, and provide a scientific support for understanding terraces and leveraging their ecosystem functions, while also offering valuable insights for the conservation of global mountain ecosystems and the improvement of human well-being.

Research of ecological environment monitoring based on artificial intelligence

Traditional models of environmental supervision no longer suffice to meet the challenges of contemporary environmental governance as the tension between protecting the environment and fostering economic development grows. Given this context, ecological environment intelligent supervision has become an essential way and means to safeguard the green mountains. Comprehensive environmental regulation requires the use of cutting-edge technology like artificial intelligence, big data analytics, cloud computing, the internet of things, and online monitoring systems. Simultaneously, the internet and digital technology can enhance the quality of environmental protection decisions and the extent to which they are monitored. Artificial intelligence has the potential to improve the effectiveness of ecological environment supervision and protection, addressing issues such as a lack of human resources and an overabundance of job pressure. This paper used a literature review as its research method, studying articles in the field to learn about the current state of artificial intelligence technology in ecological environment monitoring and governance, its potential future uses, and how to best protect the planet's delicate ecosystems.

The Effects of Environmental Education on Residents' Ecological Security Behavior: The Mediating Role of Nature's Psychological Ownership Perspective and The Moderating Role of Visual Fluency.

Residents are one of the most significant stakeholder groups in ecologically vulnerable regions, and the local ecological environmental governance efforts require their active cooperation and participation. To this end, this study leverages the sampled survey data from residents across 14 cities in Guangxi, China, and uses a structural equation modeling analysis to explore the impact of environmental education perception on residents' ecological security behavior. The results indicate that psychological ownership of nature plays a positive mediating role between environmental education perception and residents' ecological security behavior, as well as between ecological consciousness and residents' ecological security behavior, thereby supporting the idea that a sense of stewardship in protecting ecological security is a key factor in residents' conversion of their ecological protection cognition into practical actions. Further research finds that visual fluency has a moderating effect on the relationship between environmental education perception and psychological ownership of nature. This study provides new insights into the theoretical understanding of the formation mechanism of residents' ecological security behavior, enriches the theory of psychological ownership, and offers policy recommendations for governments implementing ecological environmental propaganda programs.