Sustainable Development In China Research Articles

Coupling Coordination Analysis Between Reclaimed Water Utilization Capacity and Effect in China

Reclaimed water utilization is one of the major strategies used to achieve sustainable development in China and for alleviating issues linked to insufficient water supply. This study leverages panel data encompassing 30 provinces in mainland China from 2011 to 2022 to establish a comprehensive evaluation index system for measuring the development level of reclaimed water utilization capacity and utilization effect. On the basis of this index, the development rule of coupling coordination between reclaimed water utilization capacity and utilization effect is explored using the coupling coordination degree model, Moran’s I index, and the grey GM (1,1) model. Experimental results show that the current utilization capacity and effect of reclaimed water in most provinces of China do not match. Moreover, China’s reclaimed water utilization capacity index was shown to gradually increase from 2011 to 2022. The reclaimed water utilization capacity index of the eastern region is significantly higher than the central region, which is lower than the national average, followed by the northeast region, and the western region obtains the lowest index. The calculation results of the coupling coordination model further demonstrate the coupling coordination degree between the reclaimed water utilization capacity; moreover, the effects of provinces and cities in China steadily increased, and there is a clear spatial clustering. The predicted results indicate that the abovementioned situation will likely continue until 2030. This study is anticipated to become a point of reference for relevant departments to optimize the coupling coordination degree of reclaimed water systems across different regions in China, implement differentiated measures, and promote a rational allocation of reclaimed water resources.

Education for sustainable development in China: experiences from school teachers’ perspectives and enactments

AbstractGiven the rapid development of Education for Sustainable Development (ESD) in the global north and south, the status of ESD in Chinese primary education remains underexplored. Teachers, who play a critical role as education stakeholders in enacting and spreading the influences of ESD, have been largely overlooked in ESD research focusing on China. This paper therefore aimed to narrow this research gap and provide an empirical snapshot illustrating the progress of ESD through the eyes of Chinese primary school teachers. Drawing on an analysis of 151 questionnaires and 25 semi-structured interviews, the study finds that ESD is primarily interpreted as environmental education and often linked through the literal connections of 'sustainability', 'education', and 'development'. ESD is enacted mainly through school activities, policies, curricula, and extracurricular opportunities, though inconsistencies in implementation are evident. The findings provides empirical evidence of ESD in Chinese primary education and build foundations for further investigation into how ESD can be more effectively integrated and practiced within China’s educational system.

Energy transition policy and rural revitalization of Chinese ethnic regions

This study addresses socio-economic disparities and environmental challenges in China's ethnic regions by examining the impact of energy transition policies on rural revitalization, with a particular focus on the mediating effects of population quality, economic growth, and industrial upgrading. Using data from 46 Chinese ethnic regions spanning 2003 to 2022, the analysis reveals that industrial upgrading significantly enhances the effectiveness of these policies, while educational attainment, as a measure of population quality, further amplifies their benefits. Although economic growth also contributes positively to rural revitalization, its mediating role is less pronounced. These findings highlight the need for a comprehensive strategy that integrates energy transition with socio-economic development to promote sustainable rural progress. The study underscores the critical role of incorporating energy transition into broader development policies, particularly through industrial and educational improvements, to achieve sustainable development in China's ethnic regions, and offers valuable policy recommendations.

Digital transformation, audit risk, and the low-carbon transition of China's energy enterprises

While digital transformation is recognized for driving efficiency and sustainability in China's energy sector, its impact on low-carbon transitions through the lens of audit risk remains underexplored. This study examines how digital transformation, encompassing technologies like AI, IoT, Big Data, and blockchain, affects the low-carbon transition of Chinese energy enterprises, with a specific focus on the mediating role of audit risk. Using data from 2008 to 2022, we find that digital transformation significantly enhances low-carbon transitions. Furthermore, our analysis reveals that audit risk, particularly abnormal expenses, mediates this relationship, with lower audit risk amplifying the positive effects of digital transformation. This underscores the importance of robust audit and risk management practices in ensuring the effectiveness of digital transformation for achieving sustainability goals. Importantly, our findings highlight key heterogeneities in this relationship: the impact of digital transformation varies across regions in China and is influenced by the type of audit firm. This suggests that the Eastern region and firms audited by Non-Big Four firms experience the most significant benefits from digitalization in their pursuit of low-carbon transitions. These insights offer valuable guidance for energy companies and policymakers navigating the complexities of digital innovation and sustainable development in China's energy sector.

The Impact of Free Trade Zones on Corporate Sustainability Performance: An Empirical Examination from the Dual Perspectives of Financial and Environmental Performance

As a “testing ground” for a new round of institutional innovation, China’s pilot free trade zones (FTZs) have created favorable development conditions for listed companies and significantly influenced their sustainability performance. Utilizing data from Shanghai and Shenzhen A-share listed companies from 2010 to 2022, this study uses the establishment of FTZs as a “quasi-natural experiment” and measures corporate sustainability performance by combining financial and environmental performance. A PSM-DID model is constructed to explore the impact of FTZ construction on corporate sustainability performance. The findings are as follows: (1) The establishment of FTZs significantly enhances both the financial and environmental performance of companies. (2) FTZs promote corporate sustainability performance by reducing transaction costs and improving corporate innovation levels. (3) The establishment of FTZs has a significantly positive impact on the sustainability performance of companies in highly competitive industries, non-labor-intensive industries, high-tech enterprises, and large-scale companies. This study reveals the impact and transmission mechanisms of FTZs on corporate sustainability performance, providing new empirical evidence for the future direction of corporate sustainable development in China.

Divergence in ESG Ratings and Its Impact on Corporate Reputation and Management Strategies

With the growing global focus on climate change and environmental issues, the significance of Environmental, Social, and Governance (ESG) considerations within corporations is increasingly paramount. In the context of the current "green environmental protection" paradigm, ESG, as a product of the new era, aligns seamlessly with China's sustainable development philosophy. Based on this context, this paper elucidates the composition of divergences in ESG ratings and discusses the implications and impacts of these divergences on corporate reputation and management strategies based on relevant theories. This paper provides a reference for understanding the disparities in ESG ratings among different enterprises and their resultant impacts.

Regional variations in energy efficiency: Modifying China's industrial approaches to meet sustainability goals

China has devoted much attention to the “carbon peaking” and “carbon neutrality” objectives, the related research focuses on renewable energy, carbon removal, electrification, and hydrogen technologies. Yet, energy efficiency, especially in resource-based and older industrial cities continue to be a research gap in this regard. This study fills this research gap by assessing the role of China's national Industrial Transformation and Upgrade Demonstration Zones (ITUDZ) in energy conservation from 2010 to 2021. In this paper, applying the time-varying Difference-in-Differences (DID) method, we confirm that ITUDZ effectively decreases the energy utilization of these cities. These tests are reliable based on the results obtained above. Mechanism assessments show that the ITUDZ does so through enhancing green innovation and adjusting industrial patterns and that marketization enhances the energy-saving impacts. Geographical heteroscedasticity tests also show that the effects are significant for multi-urban areas and eastern China but weaker for central-western and single-urban city areas. Therefore, this study serves to add to the existing knowledge regarding place-based industrial policies and their contribution towards the realization of China's sustainable development agenda.

A novel model for rural household photovoltaic market trading: Utilizing cooperative alliances within a peer-to-peer framework

In the face of diminishing traditional subsidy models and the constraints of grid-dependent transactions, this study explores trading models as a catalyst for rural electrification and sustainable development in China. Highlighting the emergence of rural photovoltaic (PV) prosumers, we propose trading models through cooperative alliances to facilitate market engagement within a peer-to-peer (P2P) framework. By applying the Shapley value for the equitable distribution of internal revenues, the study elucidates the complex interrelations between rural prosumers and the electrical grid, fostering a better understanding of their mutual interests. Further, we introduce a dynamic game-theoretic model to investigate the evolving market behaviors under diverse strategic influences among rural prosumer groups and the grid. Using numerical simulations based on real-world data from Shanghang County, Fujian Province, we analyze surplus and deficit electricity production scenarios within these alliances. The findings underscore the effectiveness of the cooperative alliance trading model in aligning individual, collective, and societal benefits. This comparative analysis of strategic outcomes validates the model's feasibility and role in advancing sustainable rural electrification strategies.

Integrating carbon reduction and ecological resilience strategies in the silk road economic corridor

The Silk Road Economic Belt has become a pivotal region for China's sustainable development, focusing on the balance between carbon emissions and ecological resilience. Understanding the coordination between these factors is crucial for advancing China's westward economic shift and optimizing urban and demographic structures. This study investigates the coupling and coordination dynamics between carbon emissions and ecological resilience across 15 key cities in the Silk Road Economic Belt, using data from 2008 to 2018. By applying a "pressure-state-response" framework, the ecological resilience of the region is quantitatively assessed. Spatial disparities and the dynamic evolution of coupling coordination are analyzed through the Gini coefficient and kernel density estimation. The findings reveal significant regional variations in ecological resilience and a decline in coupling coordination over time. Shifts in the patterns of coordination indicate opportunities for enhancing resource utilization and environmental management. This research provides theoretical insights for policymakers to improve green development strategies, optimize industrial structures, and plan urban green spaces more effectively within the Silk Road Economic Belt.

The intermediate role of farmland transfer in the impact of digital financial inclusion on agricultural total factor productivity in China

IntroductionEnhancing agricultural productivity and promoting sustainable development in China are critical priorities, given their significant contribution to food security and rural development. However, achieving consistent agricultural productivity growth across regions and sectors has been challenging, leading to inefficiencies and environmental pressures. To address this, the potential of digital inclusive finance (DIF) as a catalyst for progress has been explored.MethodsThis study investigates the impact of DIF on agricultural total factor productivity (ATFP) through farmland transfer, with implications for rural revitalization and high-quality agricultural development. Using the HMB index method, we calculate and decompose China’s inter-provincial ATFP from 2011 to 2020. Employing the dynamic panel fixed effect model and SYS-GMM method, we empirically test the influence of DIF on agricultural productivity in relation to farmland transfer.Results and discussionOur findings reveal a slow upward trend in China’s ATFP, driven primarily by scale efficiency. Notably, a 1% increase in the general index of DIF correlates with a 0.136% increase in ATFP. We analyze the sub-classification indexes of digital inclusive finance, namely coverage breadth, depth of use, and digitalization degree. Their contributions to agricultural productivity growth are significant, with coverage breadth having the greatest impact, followed by depth of use and digitalization degree. Farmland transfer acts as a crucial intermediary, enhancing agricultural allocation efficiency and driving the relationship between digital finance and total factor productivity growth. Interestingly, the western region exhibits the highest growth rates, followed by the eastern region, while the central region shows no significant effects.ConclusionTo comprehensively enhance ATFP, aligning supply and demand for digital financial services, leveraging service depth, and guiding farmland transfer according to local conditions are essential. These findings offer valuable insights into effective strategies for maximizing the potential of DIF, promoting rural development, and achieving sustainable agricultural growth.

Heterogeneous Interaction Effects of Environmental and Economic Factors on Green Efficiency of Water Resources in China

Identifying the green efficiency of water resources and its driving factors is paramount for promoting sustainable development in China. The existing research has primarily focused on the spatial heterogeneity of individual factors that impact green efficiency of water resources. However, it has often overlooked the heterogeneity in the interactions between these factors. In this study, we utilized a multiscale geographically weighted regression (MGWR) model to discern the spatial heterogeneity of the individual factors influencing the green efficiency of water resources in China between 2002 and 2016. Subsequently, we demarcated several subregions based on the coefficients derived from the MGWR model. Employing a geographical detector (GD), we quantified the interactive impacts of different factors within these subregions. Our findings unveiled, for the first time, the diverse patterns in the temporal and spatial fluctuations in the factors impacting the eco-friendliness of water resources. The findings underscored that disregarding the spatial heterogeneity of these interactive effects may result in an underestimation of the interactions among factors. Significantly, in 2016, the impact of tertiary industry proportion and completed investment in pollution treatment displayed an enhanced non-linear effect across the entire sample and concurrently demonstrated a bivariate enhanced effect within subregions. These discoveries contribute to a deeper comprehension of the mechanisms influencing these factors, providing valuable insights for policymakers in crafting region-specific water resource policies tailored to the unique developmental requirements of different areas.

The current world economic situation and its impact on China's foreign exchange and foreign investment

In 2023, the world economy shows clear growth divergence and complex changes driven by technology. The United States economy is showing strong resilience, but its growth is still affected by inventory movements. In contrast, the economies of the euro area and Japan face serious challenges, while some emerging economies, such as India and Vietnam, show signs of a positive recovery. Meanwhile, prices in major economies generally rose, international trade improved slightly and financial markets picked up. In the coming period of time, the world economy is likely to be in the process of bottoming out and bottoming out, will continue to affect China's foreign trade and foreign investment fundamentals, China should overcome the risks and challenges, enhance confidence, increase policy support, and make every effort to create an environment conducive to the development of an export-oriented economy, and actively tap the new advantages of industrial competition, and to promote China's sustainable development of the economy.

Urban eco-efficiency of China: Spatial evolution, network characteristics, and influencing factors

Urban eco-efficiency (EE) refers to the ability of a city to balance economic growth with environmental protection through the optimal use of resources and environmental management, reflecting the city’s performance in sustainable development. Quantitative EE analysis is a crucial evaluation criterion for measuring the process of sustainable development (SD). To assess the current state of sustainable development in China, this study employs the slacks-based super efficiency model (Super-SBM) to measure the the urban eco-efficiency in China (CUEE) of 284 cities. The study utilizes Kernel Density Estimation (KDE) and Spatial Autocorrelation Analysis (SAA) to investigate the fundamental patterns of CUEE in terms of inter-city differences and relationships. Complex Network Analysis (CNA) and Link Prediction methods are applied to examine the characteristics and future trends of the CUEE network. Additionally, Geodetector and Geographically Weighted Regression (GWR) are used to analyze the influencing factors of CUEE. The findings are as follows: Overall CUEE is relatively low but shows a steady increase. The spatial association network of CUEE is becoming more complex, with increasing association strengths. The Chengdu-Chongqing Economic Circle (CCEC) is expected to further enhance its spatial association strength and may emerge as a new core area. The effectiveness of the interactions among selected factors is greater than that of individual factors. Degree centrality (X1) is identified as a core explanatory factor influencing CUEE, showing a positive correlation with CUEE. Scientific expenditure (X5) is also positively correlated with CUEE. Local fiscal budget expenditure (X3), industrial output value of foreign-invested enterprises (X7), and total cargo transportation volume (X9) are negatively correlated with CUEE. The analytical framework and research conclusions of this study offer valuable insights into the development of urban ecological efficiency in China and provide constructive recommendations for promoting sustainable urban development.

Application and Research of Mine Safety Management Strategy Based on the BP Network Model

Coal mine safety production is undoubtedly the cornerstone of the healthy, table, and sustainable development of China’s coal industry, and it also profoundly affects the effective implementation of the national energy strategy. In this context, exploring the application of network models in coal mine safety management strategies not only has significant practical significance, but also has profound development value. By integrating these factors, we can have a more comprehensive understanding of the causes of coal mine safety accidents and provide a scientific basis for formulating effective preventive measures. By collecting and analyzing various data in real-time during the coal mine production process, we can promptly detect abnormal situations, predict potential safety risks, and take corresponding measures for intervention and prevention. This dynamic monitoring and early warning mechanism can not only improve the safety of coal mine production, but also enhance the efficiency and efficiency of coal mine production. In the analysis process, we particularly focused on the advantages of Back Propagation (BP) neural network models in mine safety evaluation. BP neural network models can handle uncertainty and fuzzy information and have strong learning and adaptive capabilities. By constructing a safety evaluation model based on BP neural networks, we can more accurately evaluate the safety risks in the coal mine production process, providing strong support for formulating more scientific and reasonable safety management strategies.

Retraction Note: Paths to sustainable development in China: why green finance and green technology matter?

Retraction Note: Paths to sustainable development in China: why green finance and green technology matter?

The role of green ammonia in meeting challenges towards a sustainable development in China

The shift to a sustainable development has become an important issue in China. This paper discusses the role of green ammonia in promoting China's energy, environmental and economic sustainability which has not drawn enough attention. First, key challenges in China's energy transition, decarbonisation and regional sustainable development are explored. The coal-dominated energy consumption has placed great obstacles in achieving energy transition and led to massive CO2 emission since the large-scale industrialization. The high dependency on oil and gas import has threatened China's energy security. Imbalanced and unsustainable regional development is identified with data envelopment analysis. Second, the potential of green ammonia in meeting these challenges is analysed. Ammonia is examined to be a flexible and economic option for large-scale hydrogen transport and storage. Co-firing ammonia in coal power generation at 3 % rate is evaluated as an option for achieving low-carbon transition by 2030. Benefits of developing a green ammonia economy is discussed from energy, environmental and economic aspects. The practice can decline fossil energy consumption, enhance energy security, and facilitate renewable energy delivery and storage, industry decarbonisation, and regional development. We assume the findings and results contribute to addressing sustainability challenges and realizing a hydrogen economy in China.

Life cycle carbon emission calculation model of energy system in public buildings: A case study in Shanghai

Energy consumption and carbon emissions (CE) in the building sector have grown in importance in relation to global climate change for China's sustainable development. Relatively few research have addressed the embodied CE, despite the fact that many have examined the operational CE from energy system operational use. In order to determine the CE of the energy production, transportation, construction, operation, and recycling stages, we therefore put up an integrated model. An inventory analysis of the energy system's life cycle CE, a scenario forecast of various combinations of building energy system equipment, and a case study of the building energy system of a typical office building in Shanghai's service industry. According to the results, the embodied CE emits 38.01 % of its energy, and the operational CE emits 61.99 %. However, we should not underestimate the significance of the impact of the embodied CE. Among all projection scenarios, the suggested CE share is highest (18.40 %) when the system combination of air-source heat pump units, LED lights, and ground-source heat pump units is implemented. In the end, based on the structural analysis of the embodied CE, low-carbon growth strategies and policy recommendations for Shanghai's service sector will be made.

The Impact of Green Finance on Agricultural Non-Point Source Pollution: Analysis of the Role of Environmental Regulation and Rural Land Transfer

This study evaluates the impact of green finance on agricultural non-point source pollution control and emission reduction in 30 Chinese provinces from 2005 to 2022. Utilizing the entropy value method and the unit survey inventory method, the research measures the levels of green finance development and agricultural non-point source pollution. It employs a mediation effect model to empirically assess the pollution control efficacy of green finance and to elucidate the mechanisms underlying its influence. The findings indicate that green finance development significantly curtails agricultural non-point source pollution emissions. This conclusion is still valid after a series of robustness tests. The results of mechanism analysis show that environmental regulation and land transfer are important channels for green finance to reduce agricultural non-point source pollution. However, the slowing effect of green finance is stronger in provinces where the economic development level is still in the catch-up zone. Consequently, this study suggests strengthening green finance infrastructure in rural areas, coordinating green finance and environmental regulation policies, optimizing land transfer systems to promote scale management, and developing differentiated green finance policies based on regional economic development levels. These measures aim to augment the role of green finance in pollution treatment and emission reduction, thereby optimizing the green financial system, advancing environmental protection, and fostering sustainable development in China’s agricultural sector.

Threshold and interaction effects of environmental variables affecting the spatial distribution of Pb

Understanding the spatial distribution of soil Pb and its potential influence mechanism is significant for controlling Pb pollution in tea plantations and guaranteeing food safety. The linear and nonlinear relationships between Pb and environmental variables have been widely studied, but the threshold and interaction effects of its environmental variables are often neglected. In this study, 81 tea plantation soils were collected and determined the thresholds and interaction effects of environmental variables on Pb through the GBDT model. The results revealed that the 10 selected environmental variables together explained 71.01 % of the variation in Pb content, with the top three factors being pH, total phosphorus (TP), and distance from roads (dis_road). Most environmental variable had threshold effects on Pb. By visualizing the interaction of pH, TP, and dis_road on Pb concentration, we show that both two-way and three-way interactions are able to further explain its variation. The interaction between TP and dis_road alone accounts for 5.70 %, between pH and dis_road alone accounts for 7.92 %, and between pH and TP alone accounts for 5.83 % of the variation in Pb concentration. However, the three-way interaction between pH, TP, and dis_road alone explains 11.85 % of the variation in Pb concentration. Understanding these interactions is important for gaining insight into the underlying processes leading to Pb pollution and promoting the tea industry’s sustainable development in China and abroad.

Universities as cities of flows: decoding cross-regional university partnerships for sustainable development in China

PurposeThe study conceptualises universities as “cities of flows” to examine the East-West University Partnership (EWUP) in China, which is a pioneering initiative of cross-regional university collaboration linking over 220 institutions across China since 2001. The study explores the strategic enhancement of connective and collaborative capacity of universities to facilitate diverse flows of talent, knowledge and other resources within the broader context of China's sustainable development in higher education.Design/methodology/approachThe study employs a qualitative single-case study design to investigate the EWUP within its real-life context using participant observation and documentary research. As an analogical inquiry, the study merges the insider and outsider perspectives of the researchers to identify patterns between theoretical constructs and empirical evidence.FindingsThe EWUP as a policy entrepreneurship has significantly contributes to coordinated, inclusive and sustainable development. Its spatial dynamics consists of structural, temporal and collaborative dynamics. They are characterised by centrality, connectivity and adaptability which are generated through the interplay among the nodes, linkages and fields of influence within the EWUP network. These dynamics showcase EWUP as a novel approach to managing long-term university partnerships between more and less developed regions.Originality/valueThe study reimagines universities and higher education systems through vivid analogies of cities and transportation networks and elucidates connectivity as a pivotal dimension of sustainability. It advocates for reexamining spatial theories in higher education, deepens insights into the dynamics of cross-regional university partnerships in coordinating educational and territorial development, and enriches discussions on Higher Education for Sustainable Development (HESD).