Regional Environmental Governance Research Articles

The divergence and driving factors of corporate environmental information disclosure in China

Corporate environmental information disclosure (EID) has been a widely acknowledged issue in the field of ecological environment research. This paper explores the spatiotemporal evolution characteristics of EID in China from 2008 to 2022, and discusses the industry and regional heterogeneity. It reveals significant differences in EID between heavy and non-heavy polluting industries, as well as among different economic regions, revealing that there is still significant potential for improvement in corporate environmental governance. Further, this paper establishes a two-way fixed effects model and empirically investigates the effects of internal and external driving factors on EID. In addition, Lasso regression model is used to screen the vital driving factors and analyze their relative importance. The empirical results show that enterprise size, management age, operating capacity, supervisory board size, and debt capacity have relatively more substantial explanations for changes in EID, which are more critical driving factors. The contribution of the study is to provide valuable reference for constructing corporate EID indicator system, and to points out the direction for the sustainable development of enterprises in different industries and regions. At the same time, it has theoretical guiding significance for finding the factors that promote EID and strengthening regional environmental governance.

Arctic environmental governance: challenges of sustainable development

The Arctic is one of the key regions in relation to global climate change, experiencing radical transformations in environmental governance as well as challenges in terms of its ecological protection. The region is witnessing a number of irreversible climatic shifts, such as melting permafrost, rising sea levels, contamination of the Global Ocean, and changes in the lives of indigenous people. The Arctic is a global hot spot in climate change where international cooperation (scientific, environmental, diplomatic, etc.) should be a priority to overcome existing ecological challenges. This article provides detailed analysis of these issues from cross-disciplinary perspectives, bringing insights from economics, history, anthropology, international relations, and political science from the perspective of literature on environmental regionalism. The article analyzes a selection of heterogeneous actors, many of whom have contradictory rules, norms, and priorities. Analysis of the Arctic through the lens of regional environmental governance aspires to contribute to understanding of the complexity of existing challenges and their potential solutions. This article offers an analysis of the major findings in this topical collection. It contributes to the development of cross-disciplinary approach to the studies of the Artic and outlines a research agenda.

Study on the spatial network structure of energy carbon emission efficiency and its driving factors in Chinese cities

How to adapt to climate change while achieving sustainable economic and social growth has become a major topic of concern worldwide. With the constraints of the dual‑carbon strategy, the integration of regional environmental governance and energy carbon reduction governance is a prevalent focus. This study focuses on analyzing 282 prefecture-level cities in China. The SNA approach and modified gravitation model are utilized to estimate the energy carbon emission efficiency of Chinese cities from 2006 to 2021. The spatial correlation network and the QAP model are ultimately utilized to investigate the factors. The study presented the following findings: ① There are notable temporal and regional discrepancies in the energy carbon emission efficacy of Chinese cities. Generally, defined by high values in the east and low values in the west. ② The efficiency of energy carbon emissions in networks connecting urban areas in China is multidimensional, complex, and organic and has improved stability. ③ The developed regions in the east exert a dominant influence on the geographical network, while the central and western parts of the country, which are distant, are considered peripheral. ④ There are few connections within each segment of the geographic correlation network for energy carbon emission efficiency in Chinese cities; however, there are substantial correlations between segments, indicating the presence of a substantial spillover effect. ⑤ The formation of energy‑carbon emission efficiency correlation networks in Chinese cities is significantly influenced by disparities in economic development and government intervention. Conversely, the level of science and education exerts a significantly negative impact on this phenomenon. It is advisable to encourage the development of a spatial correlation network that connects urban energy carbon emission efficiency. This can be achieved through the implementation of specific measures, the establishment of a regional coordination mechanism, leveraging the strengths of energy-efficient regions in the east, maximizing the potential of each sector, and considering the factors that influence the outcomes. Compressing the driving factors and attributes of the spatial correlation network of energy carbon emission efficiency holds substantial practical importance for facilitating the ongoing expansion of the regional low-carbon energy network space and establishing a regional low-carbon synergistic energy governance system.

Research on the impact of regional integration policy on carbon emissions--Taking the Yangtze River Economic Belt as an example.

The Yangtze River Economic Belt serves as a paradigm of ecological integration and high-quality development within China. Under the constraints of the "Dual Carbon" goal, how does the integrative policy of the Yangtze River Economic Belt, aimed at reinforcing inter-regional industrial cooperation, impact carbon emissions across various provinces within the region? Leveraging panel data from 30 Chinese provinces spanning 2009-2019 and treating the 2016 promulgation of the "Yangtze River Economic Belt Development Planning Outline" as a quasi-natural experiment, this study employs a Difference-in-Differences (DID) model for discerning the effects of regional integration policies on carbon emissions, intensity, and efficiency in the 11 provinces of the Yangtze River Economic Belt. The research further delves into the underlying mechanisms through which policy interventions modulate provincial carbon emissions. Key findings include: (1) The policy's enactment has significantly attenuated provincial carbon emissions and intensity, albeit somewhat hampering the enhancement of carbon efficiency-conclusions robust to parallel trend and placebo tests; (2) Heterogeneity analyses reveal disparities in the policy's carbon emission effects, contingent on varying economic development levels and geographical loci; (3) Mechanistically, while the integration bolsters regional environmental governance and strengthens economic ties-thereby curtailing provincial emissions-it is evident that local governments have been somewhat inept in effectively channeling the influx of substantial short-term capital, hence stifling provincial carbon efficiency. In light of these insights, it is posited that local governments within the Yangtze River Economic Belt should ardently endeavor to refine and elevate regional industrial structures, champion the construction of an integrated regional market, intensify capital oversight and coordinated utilization, and enhance the efficiency of regional capital allocation, all in the quest to augment regional carbon emission reduction performance.

Research on Monitoring and Application of Ecological Restoration Engineering in Open Pit Backfilling Mines Based on Satellite Remote Sensing Data

Abstract. The restoration and management of mining ecological environment is an important component of China's ecological civilization construction. The implementation of restoration projects is to avoid the serious impact caused by the continuous deterioration of mining ecological structure, and is a key way to maintain regional ecological security and energy and mineral security. Therefore, efficient and rapid monitoring and evaluation of the effectiveness of mining ecological restoration is an essential and important link. With the rapid development of remote sensing technology, remote sensing monitoring has become an important means to objectively, quickly, and accurately obtaining changes in the mining environment. It can provide timely and long-term monitoring of mining and backfilling conditions in mining areas. This article uses the multi temporal stereo images of the Resource 3 satellite over four years to monitor the mining and backfilling situation of the Zhungeer open-pit coal mine area in Inner Mongolia. By reconstructing the Digital Surface Model (DSM) of the open-pit mining area, the changes and thresholds of the multi temporal DSM data are statistically analyzed to extract the mining and backfilling areas, and the earthwork volume is calculated. The results showed that from 2013 to 2016, the main large-scale mining faces in the study area of Zhungeer open-pit mining area had a total mining operation of about 563.5 million cubic meters, and a total backfilling operation of about 604.29 million cubic meters; During the period from 2016 to 2018, the main large-scale mining faces in the region had a total of approximately 721.71 million cubic meters of mining operations and a total of approximately 805.42 million cubic meters of backfilling operations. The overall operational intensity increased from 2016 to 2018. The research results show that based on satellite image data, it is convenient and efficient to obtain DSM and corresponding changes of multiple time periods in mining areas. Monitoring results can provide important support for regional environmental governance and protection, as well as safety production in mining areas.

Exploring the Mechanisms of Regional Environmental Collaborative Legislation in China: Policy Effectiveness, Practical Challenges, and Policy Suggestions

The legislation for regional environmental collaboration is of significant importance in enhancing the effectiveness of environmental protection. The existing literature focuses on the power struggle between central and local governments regarding environmental regulation within the realm of regional environmental governance, lacking an examination of the collaborative governance mechanisms and their effectiveness. Therefore, this study takes China’s regional environmental collaborative legislation as its research object. It employs a difference-in-differences model to test the effectiveness of regional environmental collaborative legislation concerning environmental governance and conducts a qualitative analysis to examine the current practical challenges facing regional environmental collaborative legislation. The quantitative analysis results indicate that regional environmental collaborative legislation can effectively suppress the emission of environmental pollutants. Specifically, the implementation of regional environmental collaborative legislation results in a 19.7% reduction in prefecture-level wastewater emissions and a 26.6% reduction in sulfur dioxide emissions. Qualitative analysis results show that regional environmental collaborative legislation currently faces challenges such as localism, difficulties in legislative authority allocation, and a lack of cooperation mechanisms. Therefore, this paper proposes to establish a collaboration platform, balance the interests of stakeholders, and improve the allocation mechanism of environmental regulatory powers in order to better optimize the regional environmental collaborative legislation and enhance the government’s environmental governance capacity.

Climate Change and Regional Cooperation in South-east Asian Countries

Climate change and environmental degradation are the two most pressing concerns faced by the world today for which regional cooperation is necessary. For regional cooperation, governments at the regional level must work together to coordinate activities, unify regulations and create risk-reduction plans. In South-east Asia, multiple initiatives have been taken for a shared framework for carrying out coordinated policy implementation. However, political and technical barriers have stymied efforts to suit the needs and benefits of partnering states. This article will analyse these problems and approaches in a few chosen South-east Asian nations and examine comprehensive action plans built on cooperative partnerships. It will offer a critical assessment of the environmental and climate-related issues South-east Asia faces and also offer recommendations on how to use policy tools to regulate and solve issues of regional environmental governance. It also looks at ways to counteract institutional and regulatory obstacles to reaching desired outcomes emphasising regulatory frameworks and policy.

The Impact of Intergovernmental Cooperation and Local Fiscal Autonomy on Environmental Regional Governance: Evidence From China Yangtze River Delta Urban Agglomeration

Previous research on regional environmental pollution acknowledge that cross-level government cooperation plays an important role in controlling regional environmental pollution. However, the balance between local fiscal autonomy and governance costs has received little attention. To fill this research gap, this paper argues a model of local fiscal autonomy moderating the efficiency of environmental governance, which provides a basis for studying the effect of local fiscal autonomy on intergovernmental cooperative environmental governance. We collected the data set of the China Yangtze River Delta urban agglomeration, using Tobit regression model to evaluate the effect of local fiscal autonomy on cooperative arrangements and the moderating effect. The results show that higher local fiscal autonomy will positively affect vertical intervention actions and improve the efficiency of environmental governance. In addition, we found that more special funding for environmental projects will weaken the performance of horizontal cooperation on regional environmental governance.

Occurrence, probable causes, and management of forest wildfires in the Northern Highlands of Pakistan

Pakistan is forest-deficient and cannot afford forest losses associated with large-scale wildfire destruction. The Northern Mountainous Range (NMR) in Khyber Pakhtunkhwa province has substantial forest cover, yet complex human-environment interactions have created vast fire-prone areas. This study examines the historical and environmental drivers of wildfires in the NMR and prospective management strategies to reduce their devastating impacts. We reviewed news articles and surveyed local fire management offices to obtain records of fire occurrences to develop a spatial model. We used the maximum entropy (MaxEnt) model to evaluate wildfire probability based on climatic influences and found district Swat and neighboring areas in the NMR region to be a forest fire hotspot due mainly to factors of precipitation. Furthermore, an analysis was conducted on regional environmental governance, encompassing legislative factors that impede fire safety and deficient fire management budgets. In addition, we detailed the recognized causes of forest fires in the area, revealing a significant human contribution. There is a rising consensus that governance regionally, locally, and within communities must comprehensively handle the compounding and complicated concerns surrounding wildfires. This extensive analysis seeks to impact regional management to support fire protection through actions to update the forest policy, encourage participatory planning and governance at the local level, prepare for future forest fires by allocating enough budget for emergency disasters, raise public awareness, and educate the public about forest fire dangers.

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.

Regional Rights, Environmental Wrongs: Unpacking the Paradox of Autonomy in Indonesia's Environmental Governance

This paper delves into the complex interplay between regional autonomy and environmental governance in Indonesia, shedding light on the paradoxical outcomes that arise from decentralized decision-making. It examines how the delegation of power to local authorities has both empowered and challenged efforts to enforce environmental regulations and protect natural resources. Through a comprehensive analysis, the paper elucidates the ways in which regional autonomy has led to divergent approaches to environmental management across Indonesia's diverse regions. While some local governments have demonstrated commendable commitment to environmental conservation, others have prioritized economic interests at the expense of environmental sustainability, leading to widespread degradation and ecological harm. Drawing on case studies and empirical evidence, the paper unpacks the factors contributing to this paradox, including varying levels of institutional capacity, political dynamics, and socio-economic pressures. It highlights instances where regional autonomy has resulted in regulatory loopholes, weak enforcement mechanisms, and conflicts of interest, exacerbating environmental challenges and undermining national conservation efforts. Furthermore, the paper explores potential pathways for reconciling the tension between regional rights and environmental wrongs in Indonesia. It advocates for a holistic approach to environmental governance that integrates principles of subsidiarity with national environmental priorities, fostering collaboration between central and local authorities, and promoting community engagement and empowerment. In conclusion, the paper underscores the imperative of addressing the paradox of autonomy in Indonesia's environmental governance.

Industrial agglomeration and PM2.5 pollution in Yangtze River Economic Belt in China: non-linear estimation and mechanism analysis

Introduction: The uncertainty associated with PM2.5 pollution hinders the economic high-quality development and threatens public health. Industrial agglomeration stands as a critical factor in regional economic and environmental governance, and the current studies about its impact on PM2.5 pollution are mostly limited to a specific industry or unidirectional influence.Methods: Our study constructed spatial econometric models to analyze the effect of three major industrial agglomerations on PM2.5 pollution, based on evidence from 110 prefecture-level cities of the Yangtze River Economic Belt in 2005–2019.Results: The results show that: 1) The three major industrial agglomerations and PM2.5 pollution present different spatiotemporal characteristics and show prominent positive spatial autocorrelation and agglomeration effect. 2) The primary industrial agglomeration contributes to a decrease in PM2.5 pollution and exhibits negative spatial spillover effects. A nonlinear relationship is observed between the secondary industrial agglomeration and PM2.5 pollution. The tertiary industrial agglomeration results in an increase in PM2.5 pollution. 3) The effects of secondary industrial agglomeration on PM2.5 pollution exhibit varying degrees of ‘inverted U-shape’ curves in the upstream, midstream, and downstream cities. The midstream cities are the first to reach the inflection point of agglomeration. 4) Industrial agglomeration affects PM2.5 pollution through three mechanisms, including scale expansion effect, technological spillover effect, and population scale effect.Discussion: Based on the empirical findings, this study provides scientific support and decision-making reference to improve the positive impacts of industrial agglomerations on PM2.5 pollution.

Synergistic effects of regional environmental governance on alleviating energy poverty and promoting household decarbonization

Alleviating energy poverty and lowering carbon emissions are two crucial goals that can help achieve sustainable regional development. However, to make this a reality, it is vital to understand the relationship between environmental governance and these goals, especially at the household level. This study utilizes microdata from the 2012–2020 China Family Panel Studies (CFPS) to construct models. We examine the synergies between reducing household energy poverty and emissions mitigation under regional policies, aiming to solve the long-standing energy poverty problem and reduce carbon emissions. Our findings emphasize that China's environmental governance exhibits significant synergies by concurrently addressing household energy security and promoting carbon reductions through integrated policy approaches. The efficacy and synergy depend critically on optimizing energy consumption structure, decreasing carbon intensity, and enabling technological advancement. These insights highlight the importance of top-level government design in balancing energy security and emissions reductions. Recommendations include establishing a robust governance framework to coordinate energy and climate goals while integrating climate and ecological governance regulations. The income-differentiated analysis provides valuable guidance for policymakers seeking to alleviate energy poverty and strengthen decarbonization, underscoring the importance of targeted interventions for disadvantaged households.

Constraints and enablers of regional environmental policy: governance challenges in England and Wales

ABSTRACT It is increasingly recognised that regional environmental policy is important not just for implementing national or international targets but also for policy innovation and leadership. However, international progress is limited by significant variation, with many regions failing to deliver effective environmental governance. In this paper, we argue that one important explanation of this variation is the power dynamics within multi-level governance systems. Specifically, using the UK as a case study, we identify the constraints and enablers of regional environmental policy that emanate from power asymmetries in the wider governance system. Through semi-structured interviews and document analysis, we identify the constraints and enablers faced by three UK regions: the West Midlands, the Humber and the Cardiff Capital Region. We find that while enablers tend to be isolated and region-specific, constraints are consistent across regions and form interlocking webs that significantly limit the effectiveness of regional environmental governance in the UK. This implies that attempts to implement holistic, long-term environmental transitions need to look to more fundamental reforms to the structure of political systems, paying particular attention to the constraining effects of asymmetric power dynamics.

The bilateral effects of digital economy on regional carbon emissions in China

The impacts of the digital economy on regional carbon emissions have attracted much concerns from all regions of China. Using panel data for 30 Chinese provinces and cities from 2011 to 2020, the study empirically examined the bilateral effects of the digital economy on regional carbon emissions (RCBs) and the heterogeneous characteristics under different conditions by various econometric models. The results indicate that, the inhibition effect of digital economy development on regional carbon emissions is stronger than the promotion effect, which is 13.38% lower and 12.11% higher than the frontier level respectively. When both effects are combined, it makes regional carbon emissions 1.27% below the frontier boundary. In addition, the inhibition effect of the digital economy on carbon emissions (DECEs) predominant and presents a declining trend during the study period. And the inhibition effect of the digital economy on carbon emissions in the eastern region is highest among all the regions. Moreover, the level of different factors such as digital economy, human capital and economic development, can effectively strengthen the inhibition effect of digital economy on regional carbon emissions. This work will be conducive to fully leveraging the important role of the digital economy in regional environmental governance in China, and promote the achievement of China’s carbon peaking and carbon neutrality goals.

Predicting the fundraising performance of environmental crowdfunding projects: An interpretable machine learning approach

Crowdfunding has become a pivotal fundraising method for environmental organizations. However, the fundraising performance of environmental crowdfunding projects remains subpar, prompting the need for improvements. Effectively addressing this challenge entails the precise prediction of each project's fundraising performance and a comprehensive understanding of the intricate correlations between various features and fundraising success. In response to these imperatives, this study introduces an interpretable framework meticulously designed for predicting the fundraising performance of environmental crowdfunding projects. This comprehensive framework integrates ten theoretically significant features to form the predictive model's feature set. It adopts a diverse array of eight algorithms for training and harnesses SHAP values and ALE plots for insightful post-hoc interpretation, thereby providing valuable insights into the nuanced roles played by these features. Validated on a dataset comprising 3,101 environmental crowdfunding projects from Tencent Charity, the proposed framework outperforms state-of-the-art methods, demonstrating an improvement of 5.9% in predictive performance. Furthermore, the post-hoc interpretation techniques accurately depict the roles of the features. This study carries substantial practical implications for environmental crowdfunding project creators to optimize project design, for crowdfunding platform administrators to enhance platform performance, and for local governments to improve regional environmental governance.

Analysis of spatial correlation characteristics and key factors of regional environmental governance efficiency in China

Analysis of spatial correlation characteristics and key factors of regional environmental governance efficiency in China

Fiscal centralization and urban industrial pollution emissions reduction: Evidence from the vertical reform of environmental administrations in China

The relationship between fiscal regimes and urban industrial pollution emissions is unclear. This paper aims to explore the effects and mechanisms of fiscal centralization on urban industrial pollution emissions and environmental quality. Using the vertical reform of environmental administrations (VREA) in China as a quasi-natural experiment of fiscal centralization, this study applies a staggered difference-in-differences (DID) model to explore the differences in industrial pollution emissions between centralization cities and decentralization cities. The main findings are: (1) VREA significantly inhibits regional industrial pollution emissions, and the reform effect increases over time. This conclusion still holds after considering a series of robustness issues. (2) Industrial sulfur dioxide (SO2) and solid particulate emissions in the fiscal centralization cities have decreased significantly by 0.3281% and 0.2240%, respectively. However, there is no significant change in industrial wastewater discharges. (3) Environmental regulations, environmental expenditures, and pollution control investments of local governments are the main channels through which VREA reduces industrial pollution emissions. (4) The effects of VREA are more significant in central and western cities and small cities. (5) Relative to decentralization cities, centralization cities have improved air and water quality by 0.0825% and 0.1628%, respectively. These findings help to accurately assess the effects of fiscal centralization on regional environmental governance and provide a decision-making reference for further deepening environmental centralization reform in China.

Environmental governance of transnational regions based on ecological security: The China-Mongolia-Russia Economic Corridor

Ecological security patterns (ESPs) can alleviate the conflict between economic development and ecological protection to ensure regional ecological security. The present study considered the use of the China-Mongolia-Russia Economic Corridor (CMREC) for building an interregional ESP by integrating ecological vulnerability with the supply and demand of ecosystem services using the circuit theory. The results revealed that the supply and demand of ecosystem services in the CMREC were not consistently spatially distributed. High supply areas decreased from east to west and north to south, whereas high demand mainly occurred in highly urbanized areas. The supply and demand imbalance of ecosystem services affected the determination of ecological sources. Fifty-five ecological sources (529,635.56 km2), mainly distributed east of the Northeast Plain, Far East, and around Lake Baikal, were identified. There were no ecological sources in the southwest. Ecological vulnerability decreased from south to north. Mongolia (0.60) had the highest average ecological resistance, followed by China (0.42) and Russia (0.38). According to the circuit theory, 87 ecological corridors (13,306.42 km) and 13 main ecological corridors (3302.50 km) can effectively connect the ecological resources of the CMREC. These sources and corridors are dominated by forests and grasslands. The results also suggest that the connectivity of ecological corridors among the three countries should be improved, ecological restoration in the southern part of the Mongolian Plateau should be emphasized, and the functional stability of the ecological shield areas should be ensured. We propose some management guidelines for optimizing regional ESPs and collaborative environmental governance of the CMREC.

Covid-19 epidemic and regional carbon emissions: A study based on metabolic multivariate grey model with new information priority

The COVID-19 epidemic has had an unexpected impact on global carbon emissions. In this context, carbon emission prediction is very important for policy formulation and implementation. It is worth pondering how the grey model deals with the prediction of unexpected events. Considering the spatial dependence of carbon emissions, this paper improves the multivariate grey model, gives new information a higher reference weight, and constructs a metabolic multivariate grey model -MMGM(1,m|λ) which takes new information as the priority. An optimization algorithm is constructed with the minimum error as the goal to determine the value of the weight adjustment parameter λ. Then we simulate and predict the carbon emissions of three regions: China’s Yangtze River Delta (Shanghai, Jiangsu, Zhejiang, and Anhui), the North American Free Trade Area (Canada, Mexico, and the US), and West Europe (the UK and France). These three cases have different regions, different numbers of behavioural variables, different degrees of influence by COVID-19, and different trends, which are comparative. The results show that the new model has a good fitting effect, and it is still applicable in dealing with unexpected events. The new model can reflect regional carbon emission changes more systematically and accurately. Finally, according to cases and discussions, we get some management enlightenment to promote regional environmental collaborative governance.