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The Guidelines on Building a Market-Oriented Green Technology Innovation System, which was released by China in 2019, has become a powerful signal to guide the development of green technology innovation (GTI). In the current digital strategy of China, the public media has become a key factor for promoting the transparency of enterprise environmental information. This paper measures the GTI efficiency of the listed paper enterprises in China as well as incorporating media attention into the research framework to explore the influencing factors of GTI of the listed paper enterprises in China during the digital economy era. The results showed that a positive media report had a positive impact on GTI and has become a new driving factor in promoting sustainable production in the digital era. Government support and openness also have a positive impact on GTI. However, negative media reports, environmental regulations, and technological innovation abilities have an inhibitory effect on the GTI efficiency of paper making enterprises. [ABSTRACT FROM AUTHOR]

China's rapid urbanization has led to the development of integrated transport networks, which requires the transport sector to pay particular attention to the integrated transport comprehensive carrying capacity (ITCCC). Concurrently, global climate change has focused the world community's attention on greenhouse gas concentrations like CO2. This study establishes an ITCCC measurement model of urban agglomerations (UAs) and measures the comprehensive carrying capacity from four factors: socio-economic, basic resources, transport facilities, and traffic environment. In particular, this paper takes carbon emission as a critical indicator of the traffic environment when considering the impact factors of ITCCC. Based on the data of China's five major UAs, this study estimates carrying capacity levels with the ITCCC model and analyses regional characteristics using the spatial-temporal differentiation method. The results show that the traffic environment significantly impacts the ITCCC. Further low-carbon transport policies and measures are recommended to achieve sustainable development of integrated transport in UAs. [ABSTRACT FROM AUTHOR]

The exponential growth of China's economy, coupled with the surge in online commerce, has led to a significant expansion of the logistics industry. In 2022, China's express delivery industry generated approximately 9 million tons of waste paper and 1.8 million tons of plastic. This study analyzed the current composition and utilization of logistics waste in China, with suggestions for recycling. Logistics waste can be defined as the packaging waste generated in the logistics industry. Corrugated paper and plastic waste were chosen as the objects for utilization. Due to its high cellulose content, corrugated paper can be utilized along with other paper waste for biomass resourcing. Biodegradable plastics can also be converted into biomass resources through the action of specific microorganisms. These polymers can be enzymatically depolymerized by certain bacteria and fungi, yielding valuable organic products. In general, logistics wastes all have potential for biomass resource recovery. By adopting appropriate recovery and conversion technologies, these waste streams can be transformed into high-value bio-based products, such as biofuels, biochemicals, and biopolymers, thus contributing to the development of a circular and sustainable economy. [ABSTRACT FROM AUTHOR]

As a traditional energy and carbon intensive sector, it becomes imperative for the global paper industry to realize green development. This paper aims to provide guidance for the green transformation of global paper industry by evaluating the global paper industry green development level in a systematic and dynamic way. This paper employs text-mining method to develop paper industry green development evaluation indicator system and adopts market-extended LCA model and entropy-TOPSIS method to calculate the paper industry green development level of 48 countries/regions. The results show that during 2000–2030 the paper industry green development level of developing countries improves faster than developed countries, where those of developing and developed countries increase from 0.3369 to 0.3938 and from 0.5120 to 0.5517 respectively and the gap between them narrows from 0.1751 to 0.1579. The comparative analysis reveals that the paper industries of developed and developing countries are in different green development stages. Developing countries, represented by China, improve greatly in economic and social dimensions, but decline seriously in ecological dimension due to enlarging resource consumption and environmental damages. On the contrary, developed countries tend to saturate in economic and social dimensions and have been improving fast in ecological dimension, gradually realizing the decoupling of industrial economic development and environmental damages. To further promote the global paper industry green development, developing countries should focus on promoting the coordinated development between economic growth and environment protection and developed countries should play a leading role in the global green transformation by promoting optimal allocation of resources and cross-regional communications of green technologies. • A paper industry green development indicator system is developed based on text mining. • A global paper industry green development model is built with market-extended LCA. • Complex interactions among the indicators are internalized in the evaluation. • A spatial-temporal analysis is performed on global paper industry green development level. [ABSTRACT FROM AUTHOR]

As a traditional energy and carbon intensive sector, it becomes imperative for the global paper industry to realize green development. This paper aims to provide guidance for the green transformation of global paper industry by evaluating the global paper industry green development level in a systematic and dynamic way. This paper employs text-mining method to develop paper industry green development evaluation indicator system and adopts market-extended LCA model and entropy-TOPSIS method to calculate the paper industry green development level of 48 countries/regions. The results show that during 2000–2030 the paper industry green development level of developing countries improves faster than developed countries, where those of developing and developed countries increase from 0.3369 to 0.3938 and from 0.5120 to 0.5517 respectively and the gap between them narrows from 0.1751 to 0.1579. The comparative analysis reveals that the paper industries of developed and developing countries are in different green development stages. Developing countries, represented by China, improve greatly in economic and social dimensions, but decline seriously in ecological dimension due to enlarging resource consumption and environmental damages. On the contrary, developed countries tend to saturate in economic and social dimensions and have been improving fast in ecological dimension, gradually realizing the decoupling of industrial economic development and environmental damages. To further promote the global paper industry green development, developing countries should focus on promoting the coordinated development between economic growth and environment protection and developed countries should play a leading role in the global green transformation by promoting optimal allocation of resources and cross-regional communications of green technologies. • A paper industry green development indicator system is developed based on text mining. • A global paper industry green development model is built with market-extended LCA. • Complex interactions among the indicators are internalized in the evaluation. • A spatial-temporal analysis is performed on global paper industry green development level. [ABSTRACT FROM AUTHOR]

As they represent an important form of agricultural operation, the sustainable development of family farms is not only an objective necessity for promoting comprehensive rural revitalization in China, but also an imperative strategy for accelerating the construction of agricultural power in China. Based on the survey data of 357 family grain farms in China, this paper uses a structural equation model to empirically analyze the relationship between market-oriented perceptions, organizational resilience, and the sustainable development of family grain farms. The results show that market-oriented perceptions have a significant positive impact on the sustainable development of family grain farms; additionally, organizational resilience plays a mediating role in the impact of market-orientation perceptions on the sustainable development of family grain farms. Based on this, the paper proposes a two-fold approach to the sustainable development of family farms: improving the level of market-orientation perceptions of family farmers and enhancing the organizational resilience of family grain farms. [ABSTRACT FROM AUTHOR]

Currently, digital transformation is having various impacts on enterprises around the world, including the green innovation. However, the current literature on the relationship between digitalization and green innovation in enterprises is scarce. What is the relationship between them, and whether heterogeneous environmental regulation has mediating effects, are questions that are worth exploring. Using a sample of listed manufacturing enterprises in China, this paper empirically tests the impact of digital transformation on enterprise green innovation. The results show that: (1) Digital transformation has a significant positive impact on green innovation, including green innovation output and green innovation capability. (2) Diverse environmental regulation may have mediating effects of digital transformation's influence on green innovation. (3) After a number of robustness tests, the conclusions are still valid. This paper can provide a reference for developing green development strategies for manufacturing enterprises. [ABSTRACT FROM AUTHOR]

It is an important way to realize rural revitalization and sustainable development to guide rural settlement transition (RST) in an appropriate way. This paper uses actor network theory (ANT) to construct a theoretical framework for the study of RST. Taking two typical villages with different transition paths in rural areas of North China Plain as examples, this paper reveals the mechanism of RST and makes a comparative analysis. The results show that: 1) after identifying problems and obligatory passage point, key actors recruit heterogeneous actors into the actor network by entrusting them with common interests, and realize RST under the system operation. 2) Rural settlements under different transition paths have similarities in the problems to be solved, collective actions and policy factors, but there are differences in the transition process, mechanism and effect. The actor network and mechanism of RST through the path of new rural community construction are more complex and the transition effect is more thorough. In contrast, the degree of RST of retention development path is limited if there is no resource and location advantage. 3) Based on the applicable conditions of different paths, this paper designs a logical framework of 'Situation-Structure-Behavior-Result' to scientifically guide the identification of RST paths under the background of rural revitalization. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to explore the potential of implementing an action competence teaching model as a framework for achieving sustainable development goals (SDGs) in higher education. The paper seeks to draw insights from the students on the potential of this teaching model. Design/methodology/approach: The study adopted a quantitative research design in exploring the potential of an action competence teaching model. This study used self-report measures to obtain insights into the objective of the study. Findings: The action competence teaching model was seen as useful in equipping students with knowledge about a problem, confidence and willingness to act. However, some issues like the design of the projects, teamwork and instructional practices were identified and discussed. Originality/value: To the best of the authors' knowledge, this study is the first to implement an action competence teaching model to help draw insights from students on its potential. This paper documents certain aspects of action competence that require attention before being implemented in higher education. This information so far lacking in scientific literature contributes to ongoing discussions on SDGs while unveiling strengths and weaknesses to be considered. [ABSTRACT FROM AUTHOR]

Whilst China's aid and development model has been traditionally understood as divergent from the dominant post‐1945 liberal development model, scholars are also increasingly exploring convergence between features of the two development models. Recently, scholars from a range of disciplines including development studies, development geography and international (business, environment and legal) studies have explored a process whereby China's Belt and Road Initiative and the United Nations Sustainable Development Goals converge ('BRI‐SDG integration'). This paper brings these multidisciplinary strands of scholarship together and places them in dialogue with social sciences convergence theory to understand how BRI‐SDG integration aligns with or challenges previous conceptualisations of Chinese‐dominant development convergence. The paper first demonstrates that BRI‐SDG integration proposes a novel and deliberate convergence process ‐ which the paper names 'complementary convergence'. However, BRI‐SDG integration also underscores the need for more multidirectional frameworks that reject Eurocentricity for evaluating the contemporary Chinese‐dominant relationship, and an enhanced focus on how China is influencing dominant development institutions. Finally, BRI‐SDG integration reiterates the methodological difficulties of delineating between 'development models' in an increasingly interrelated global governance of development. [ABSTRACT FROM AUTHOR]

Digital rural construction is a key strategic direction to promote China's rural revitalization and alleviate global climate problems. In order to put forward feasible suggestions for the subsequent development and ensure the smooth development of digital village construction, how to reflect the development level of the digital village through scientific and reasonable comprehensive evaluation has become an urgent problem to be solved. This paper establishes a comprehensive evaluation index system through the Delphi method and principal component analysis method, then assigns weights to the evaluation indicators based on the improved CRITIC-G1 method, and then grades the development level of digital villages according to the extension matter element method. Finally, taking Jiangxi Province in China as an example, the overall development level of digital villages in Jiangxi Province is evaluated from the provincial level according to the proposed method. And put forward the corresponding countermeasures and suggestions. Results: Firstly, the development level of digital villages in Jiangxi Province is good, and there is a trend of excellent development level. Secondly, from different aspects of digital rural development, the digitalization of infrastructure, services, economy, and green production in Jiangxi Province is at a good level, and the digitalization of life has reached an excellent level. Thirdly, from the perspective of development trends, the digitization of infrastructure has a progressive trend towards an excellent level of development, while the digitization of services, economy and green production has signs of development regression. According to the analysis results, the relevant countermeasures and suggestions are put forward from four aspects: talent, capital, governance system and development planning. Other regions can evaluate the development level of the digital village according to the evaluation model proposed in this paper so as to analyze the existing problems and put forward targeted solutions to promote the construction of the digital village. [ABSTRACT FROM AUTHOR]

Digitalization and greening are key themes in global development, the manufacturing industry, as a major sector of energy consumption and carbon emissions, is in urgent need of transformation to realize energy conservation and emission reduction, digital transformation provides an opportunity for its green development. However, whether digital transformation can restrain the carbon emission intensity (CEI) of enterprises is still controversial. Based on the data of China's A‐share manufacturing listed companies from 2013 to 2020, this paper uses fixed effect model and intermediary effect model to explore the relationship between digital transformation and enterprise CEI and the influence path. the results show that: (1) Digital transformation has significantly reduced the CEI of manufacturing enterprises. (2) Mechanism analysis indicates that green technological innovation and resource allocation efficiency play a chain mediating role in this relationship. (3) Heterogeneity analysis shows that the carbon emission reduction effect of digital transformation is more significant when enterprises belong to an energy‐intensive manufacturing industry or face strong environmental regulations and industry competition. The analysis of this paper not only deepens enterprises' understanding of digital transformation and green development but also provides a policy basis for China to advocate the coordinated development of the digital economy and green economy. [ABSTRACT FROM AUTHOR]

Simultaneously achieving economic development and environmental protection is a shared global challenge. While the positive effect of environmental regulations on protecting the environment has been widely recognized, the attention paid to low-carbon governance and corporate green transformation remains insufficient. Based on the two-stage least square regression model (2SLS) of instrumental variables, this paper utilizes panel data from China to identify the influence mechanism of government low-carbon governance on enterprise green development. It explores the effect of low-carbon governance on enterprise green development from the perspective of fiscal decentralization. The findings show that (1) Low-carbon governance significantly promotes corporate green development, primarily through improving industrial structure and technological innovation; (2) Low-carbon governance notably promotes the green development of private enterprises but has little effect on state-owned enterprises. There are also geographical differences, and the results are better in Eastern China than in the Central and Western parts of China; (3) Fiscal decentralization at both central and local levels inhibits the effect of low-carbon governance on driving corporate green development by causing a mismatch of human resources. Therefore, to promote corporate green development, low-carbon governance must prioritize green development, actively guide industrial structural upgrading and enterprise technological innovation, implement differentiated low-carbon governance measures tailored to different ownership enterprises, and optimize the assessment indicators for fiscal decentralization. This paper helps deepen the understanding of the relationship between government low-carbon governance and enterprise green development in developing countries. It can be used as a reference for government departments to formulate relevant policies. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to analyze the influencing factors of sustainable development of family grain farms in China. According to related investigation, there is a real problem of lack of social responsibility of grain family farms in China, which restricts their sustainable development. Therefore, based on a sample of 301 family grain farms in China, this paper used multi-classification ordered logit model and mediation effect model to investigate the relationship between perceptions of social responsibility, resource integration ability, and sustainable development of family grain farms. Various studies show that stronger perceptions of social responsibility related to more sustainable development; greater resource integration ability related to more sustainable development; and resource integration ability mediated the relationships between perceptions of social responsibility and sustainable development. Conclusions suggest that improving perceptions of social responsibility, increasing support for improving resource integration ability and giving full play to the mediating role of resource integration ability is needed to bolster the sustainable development of family grain farms. [ABSTRACT FROM AUTHOR]

At present, with the increasing digital competition among enterprises, it is of great importance for enterprises to promote digital transformation and achieve sustainable development. Taking China's A-share listed companies from 2007 to 2021 as samples, this paper performs empirical tests in order to explore the impact of enterprise digital transformation on the comparability of accounting information and its mechanism. The results show that digital transformation has significantly enhanced accounting information comparability, which is still significant after a series of robustness tests. The mechanism test shows that the improvement of the comparability of accounting information by the digital transformation is mainly achieved by alleviating earnings management and agency problem. Further research shows that when the degree of market competition or transparency is high, the role of enterprise digital transformation in enhancing the comparability is more significant. This paper enriches the literature on the economic consequences of digital transformation and the factors affecting the comparability of accounting information. At the same time, the conclusions of this paper confirm the governance effect of enterprise digital transformation, provide evidential support for investors to improve decision-making efficiency, and urge enterprises to accelerate digital transformation. [ABSTRACT FROM AUTHOR]

The development of information technology has created conducive conditions for the digital economy. The digital economy is regarded as a critical pathway for transforming traditional economic models. Green total factor productivity serves as an indicator for assessing the quality of economic development. During pivotal periods of economic transition, the digital economy and green total factor productivity have emerged as two prominent themes for achieving sustainable economic development. But the impact of digital economy on green total factor productivity is less discussed. Innovation environment refers to a confluence of conditions shaped by factors such as talent, funding, cultural atmosphere and government policies, all of which collectively support innovative activities within a region. The institutional environment encompasses the aggregate of economic, political, social, and legal rules. Currently, there is little discussion on bringing innovation environment and institutional environment into the impact of digital economy on green total factor productivity. To fill the research gap, this paper adopts the Slack based measure-Directional distance function model and Malmquist-Luenberger productivity index to measure green total factor productivity in each region based on the panel data collected from 30 provinces in China from 2004 to 2019. Generalized Method of Moments method is constructed to carry out an empirical study on the impact of digital economy on green total factor productivity. This paper constructs a panel threshold model with innovation environment and institutional environment as threshold variables. In further analysis, this paper employs panel quantile regression for the empirical analysis of the impact of the digital economy on green total factor productivity. Further analysis elucidates the evident disparities in the influence of the digital economy on green total factor productivity at various levels. The research results can provide a guide for discussing the green value of the digital economy and its role in fostering the development of a green economy. [ABSTRACT FROM AUTHOR]

• A system of indicators has been established for the high-quality economic development index developed by the Chinese government. • High-quality economic development is divided into five dimensions. • Reliance on the resource industry has significantly reduced the level of high-quality economic development. • The theoretical mechanisms of the impact of resource industry dependence on high-quality development are analyzed. • Government governance capacity weakens the impact of resource industry dependence on high-quality economic development. In resource-dependent regions, the meaning of high-quality economic development has yet to be clarified by published research, despite substantial scholarly interest in the topic. With the help of the economic development index developed by the Chinese government, this paper accurately measures high-quality economic development in 30 provinces in China and investigates how resource dependence and government governance capability affect regional high-quality economic development. Research has found that resource industry dependence has a significant inhibitory effect on high-quality economic development. Additionally, the analysis of the mechanisms revealed that resource industry dependence reduces high-quality economic development through a series of effects including crowding out innovation, weakening coordination, lagging green development, hindering global openness, and sharing in weakening. Further research has revealed that government governance capacity weakens the impact of resource industry dependence on high-quality economic development. A detailed analysis of three subsystem indicators of government governance capacity, namely policy planning, capability commitment, and performance assessment, indicates that they all have a weakening effect. To this end, the paper proposes policy recommendations, including increasing innovation inputs, advancing industrial restructuring, promoting green development, enhancing marketization levels, and constructing a diversified employment system. These measures aim to transform resource disadvantages into resource advantages and facilitate high-quality economic development. [ABSTRACT FROM AUTHOR]

Sustainable agricultural economic development is the core task for achieving the objective of rural revitalization strategy in China, which cannot be separated from the support and guidance of fiscal policy, and agricultural industry integration is a key path for the fiscal promotion of sustainable agricultural economic development. This paper systematically examines the interaction mechanism between fiscal agricultural expenditures and sustainable agricultural economic development by using 31 provincial panel data in China from 2008 to 2020 and adopting a two-way fixed effect model, a panel quantile model, and a mediating effect model, respectively. The results show that the impact of fiscal agricultural expenditures on sustainable agricultural economic development is significantly positive, and appears a dynamic increasing trend with the agricultural development stage upgrading. Moreover, heterogeneity analysis shows that the effect of fiscal agricultural expenditures is more obvious for the samples in the central region and with a high share of primary industry. Further, a mediating effect test finds that agricultural industry integration plays a mediating mechanism between fiscal agricultural expenditures and sustainable agricultural economic development. Therefore, this paper proposes constructing a long-term investment mechanism for fiscal agricultural expenditures, formulating differentiated fiscal support policies for agriculture, and prioritizing support for agricultural industry integration, which provides theoretical support and policy inspiration for promoting sustainable agricultural economic development. [ABSTRACT FROM AUTHOR]

With the increasing uncertainty of urban security, urban resilience construction with risk awareness and bottom-line thinking has become essential for promoting sustainable urban development. This paper measures China's urban resilience development index (CRDI) based on 284 cities in China (except Tibet) using the entropy method from four dimensions: economic, social, environmental, and infrastructure, and analyzes it by combining coupling coordination degree and barrier factor analysis. We find that: (1) At the national level, CRDI and its sub-dimensions show an increasing trend in time, a decreasing spatial layout from coastal to inland, and a "high-high-low-low" clustering feature in space. (2) At the regional level, the CRDI is from high to low in the east, middle, and west order. The sub-dimensions are from high to low in the order of east, middle, and west for economic, social, and infrastructure resilience and from high to low in the order of east, west, and middle for environmental resilience. (3) To coupling coordination degree, the CRDI index coupling coordination is increasing in time trend but is still on the verge of dissonance. (4) Social resilience is the main obstacle factor. In the indicator layer, human resources, innovation, education, security, living, and environmental protection are the areas where CRDI coordinated development is the key to improvement. Based on the above empirical evidence, this paper proposes countermeasures to optimize urban resilience construction from four perspectives: economic, social, environmental, and infrastructure. [ABSTRACT FROM AUTHOR]

The coupling coordination of digital economy and green high-quality development of industries is an important way for sustainable and high-quality economic development. This paper constructs an evaluation index system for the digital economy and industrial green high-quality development, and conducts empirical analysis using the coupling coordination model, the spatial autocorrelation model, and the Tobit model. The data from provinces and cities in the Yangtze River Economic Belt spanning from 2008 to 2021 has been analyzed. Results show that both subsystems exhibit a good and rising coupling coordination, and the regional coupling coordination demonstrates a trend of higher values in the east and lower in the west. Moreover, there is interaction between provinces and cities, albeit with a weakening correlation after 2011. Additionally, spatial clustering is evident between regions with high and low coupling coordination. The coupling coordination degree of each region is impacted by important factors, such as economic development level, financial level, opening up, fiscal expenditure, and urbanization. Therefore, the study recommends policies aimed at boosting the coupling coordination level in the Yangtze River Economic Belt. Key policy proposals contain promoting the integration and innovation of digital technology and green low-carbon technology, strengthening regional cooperation through the transfer of industries, and adopting differentiated development strategies tailored to regional advantages and the varied impact. [ABSTRACT FROM AUTHOR]

As part of sustainable agricultural innovations and the alternative food movement, agroecology provides important tools to achieve the sustainable development goals (SDGs). Yet very few existing studies have explicitly addressed their linkages. Synergies among the SDGs are often examined at the national level, overlooking nuanced opportunities revealed by small agroecology initiatives at the local scale. Based on literature review, field visits and semi-structured interviews with farms and relevant organizations in China, this research investigates how locally embedded agroecology practices lead to advancement of multiple SDG targets and facilitate the synergies among the SDGs. It also highlights their motivations, achievements, and challenges. We argue that the technocentric metrics of SDGs underappreciate the application of traditional knowledge and small-scale low-tech innovations. By bringing visibility to low-tech and small agroecology initiatives, this paper advocates for stronger inclusion of grassroots agroecology initiatives in SDG discussions among researchers and policy makers. [ABSTRACT FROM AUTHOR]

The rapid evolution of the digital economy has significantly accelerated progress towards achieving green and sustainable processes, particularly in the field of green production. While existing research has delved into the effects of the digital economy on Green Innovation (GI) and the consequences of digital transformation on Corporate Value (CV), there remains a notable gap in the literature regarding the potential for synergistic enhancements in firms' GI&CV through the ongoing digital revolution. This study utilizes an evolutionary game model and employs system dynamics methods to simulate the dynamic evolution trajectory of the influence of the digital economy on the synergy between GI&CV. Subsequently, it empirically assesses the interconnected synergies between GI&CV using a dataset comprising information from Chinese listed firms spanning from 2011 to 2020, examining the impact of the digital economy on these synergies. Moreover, the study delves into the analysis of the transmission mechanism and conducts an extended investigation to further explore this phenomenon. The findings of this paper including: (1) The digital economy acts as a driving force behind the synergistic enhancement of firm GI&CV. Moreover, this effect is further augmented by governmental environmental regulation and green subsidy policies. (2) Drawing upon the information asymmetry theory and the resource-based theory, the regional marketization level and firms' digital transformation play intermediary roles. (3) The heterogeneity test indicate that firms situated in eastern regions and those classified as non-heavily polluted benefitted to a greater extent. This study sheds light on the incentive implications of digital economy for the synergistic upgrading of GI&CV, thereby extending the breadth of study on the consequences of digital economy. Moreover, it offers actionable suggestions for enterprises to leverage digital economy development towards achieving a synergistic improvement of GI&CV. [ABSTRACT FROM AUTHOR]

The sustainability of dry regions has become a key issue for global development. Their natural and cultural landscapes are facing threats resulting from ongoing global changes. This paper presents an overview of geomorphological, climatic-environmental, and archaeological studies in the hyper-arid eastern Tarim Basin (Lop Nur), northwest China, a world-renowned crossroad for early east-west communications, to provide a scientific foundation for sustaining its nature-culture heritage. The late Quaternary landscape changes in the Lop Nur region are characterised by cycles between oases and yardang deserts, shaping the extensive aeolian landform. Archaeological evidence suggests humans' adaptation and resilience to today what are viewed as inhospitable environments since the late Pleistocene by exploiting the diverse range of oasis resources, movement, and encouraging adjacent populations to diversify their subsistence base. Settlement- and regional-scale deterioration of available water resources, affected by environmental and climatic dynamics, caused the eventual abandonment. Periodic occupation and abandonment in the Lop Nur region accompanying oasis-desert/yardang environment cycles provide important lessons for present-day policymakers to contextualise the relationship between human communities and fragile ecosystems. The open-air sites in the Lop Nur region represent the best-preserved oasis-desert civilisation, suffering cultural history losses. We propose the urgent necessity to establish a transdisciplinary database, construct a master chronological framework of settlement, and integrate the culture-nature heritage within the network of the Silk Roads. The scientific management of river networks is also critical for protecting those riverine cultural relics. The site- and group-level management of heritage needs to be adapted to the projected changes in climate and environment. [ABSTRACT FROM AUTHOR]

The study introduces the Five-Year Plan as an assignable Chinese experience for attaining comprehensive development to provide policy reference for goal-based development related to sustainability. Before illustrating a dynamic localized implementation path of merging the UN Development Strategy and China's national planning policies, the paper uses quantitative comparative analysis to depict an overview of this dynamic. Two key features, goal integration and development efficiency, were then built to characterize China's multidimensional development goal implementation capacity. Then, we implemented a high-dimensional fixed-effects model to examine how different stages of development impacted the likelihood of achieving our goals. [ABSTRACT FROM AUTHOR]

Purpose: Higher education institutions have a critical role in creating and disseminating the knowledge required to address the complex global challenges faced by global society, as summarized in the Sustainable Development Goals (SDGs). This role of higher education is linked with the concept of internationalization, which has recently been called upon to help contribute to tackle the global challenges and meet the SDGs, particularly through more attention to "Internationalization at Home" (IaH). This paper aims to examine the role of higher education in addressing the SDGs, especially with respect to the links between IaH and the SDGs. Design/methodology/approach: A case study of the International Campus of Zhejiang University (iZJU) is conducted to illustrate how iZJU, which is a pioneer of "Internationalization at Home" and an exemplar of sustainable campus in China, contributes to the value of the SDGs and makes an impact. Findings: The authors examine the practice of IaH at iZJU in the dimensions of organization, curriculum, people and campus, and the authors find evidence from the iZJU model in addressing the value of the SDG4, 6, 7, 11, 13, 14, 15, 16 and 17. Originality/value: First, the authors contribute to the literature on the role of higher education in addressing the SDGs, especially with respect to the links between IaH and the SDGs. Second, the authors contribute to the IaH literature by examining IaH from a Chinese perspective, as there has been little exploration of what IaH means beyond the European context. Third, the authors build on the analytical framework in the IaH literature in the dimensions of organization, curriculum and people and extend with a new dimension of campus. Fourth, the authors show that IaH is a comprehensive approach to include both curriculum internationalization and campus internationalization. [ABSTRACT FROM AUTHOR]

The government's environmental protection policy can significantly contribute to alleviating resource shortages and curbing environmental pollution, but the impact of various policy instruments implemented by the government on energy efficiency is unclear. Based on the panel data of 30 provinces in China from 2005 to 2021, this paper analyses the impact of environmental regulation and the industrial structure on energy efficiency from the perspective of resource taxes. The U-shaped relationship between environmental regulation and energy efficiency and between the optimization of industrial structure can significantly improve energy efficiency, and the optimization of industrial structure is conducive to weakening the initial inhibitory effect of environmental regulation. In addition, the analysis of regional heterogeneity showed that the impact of environmental regulation was stronger in the central and western regions, while the impact of industrial structure was stronger in the eastern and western regions. The conclusions of this study can help to expand the understanding of the relationship between environmental regulation and industrial structure on energy efficiency, provide policy enlightenment for the realization of green development and high-quality development, and provide Chinese examples and experiences for developing countries to improve energy efficiency. [ABSTRACT FROM AUTHOR]

Fragile ecosystems that are affected by erosion from high pollution environmental loads pose a serious threat to human health and well-being. The evaluation of regional environmental loads has become a major issue for eco-environmental conservation and management. As a key region in central China, Hubei Province relies on ecosystems and the environment, which offer an important foundation for sustainable development and continuous improvements in social productivity. For this study, seven influencing factors were selected, and a correlation degree model was applied to assess Hubei Province's environmental loads during the period from 1995-2019. The results show that the overall environmental loads exhibit a fluctuating decreasing trend in response to economic growth and development actions. Moreover, as eco-environmental pollution problems have been addressed and improved over time, the ecosystem operating status has been gradually optimized. Finally, the paper concludes with a proposal of specific measures designed to mitigate Hubei Province's ecological loading from the perspectives of industrial structure, public awareness and technological innovation. [ABSTRACT FROM AUTHOR]

Water, energy, and food (WEF) are vital strategic resources for human survival and development, which are interacting positively or negatively. While WEF sustainability has received significant attention and extensive research has examined its interactions, there are a few studies exploring the trade-offs arising from advancing the sustainable development process. This paper aims to study the internal interrelation and external impact on WEF sustainability from the perspective of Sustainable Development Goals (SDGs). We first quantified the WEF sustainability at the provincial level in China from 2003 to 2020, then used panel vector autoregression (PVAR) to identify the interactions within the WEF system and examined how related SDGs actions (SDG 8, 12, 13) affected it. The findings revealed spatial disparities in sustainable processes across provinces. Internally, prioritizing water-sustainable actions fostered overall synergistic development, while trade-offs emerged between food and energy systems. Externally, SDG 8, 12, and 13 acceleration actions mainly contributed to WEF sustainability, but maintaining GDP growth and reducing CO2 emissions both presented challenges to sustainability. This study not only enriches the understanding of WEF sustainability from the SDGs perspective, but also provides valuable insights into how sustainable development actions can affect the WEF system. [ABSTRACT FROM AUTHOR]

To investigate the development and dynamics of green manure research, we collected 802 and 4588 papers on green manure research from China national knowledge infrastructure (CNKI) and Web of Science (WoS) between 1992 and 2021, respectively, and conducted quantitative and visual analyses based on bibliometric methods on the annual number of publications, authors and institutions, keywords, and emergent words. The main research hotspots in the field of green manure are discussed and summarized based on the results of the visualization analysis and the important publications explored by the results of the visualization analysis. The results showed that: the overall number of publications on green manure research exhibits an increasing trend, and research in this field is receiving more and more attention; the United States is the core country in this research field, with a great influence; although, the number of Chinese publications is large, the intermediary centrality value is small and the level of scientific research needs to be improved; the research characteristics in the field of green manure research mainly focus on green manure cultivation technology, the effects on soil and crops, and the effects on pests and diseases. The study was conducted based on CiteSpace, a visualization tool of bibliometrics, with comprehensive literature information and intuitive results, providing important references for relevant researchers to understand the extent of research in this field, academic communication, and grasp research dynamics. [ABSTRACT FROM AUTHOR]

Amid China's pursuit of a green and low-carbon transition, corporate social responsibility (CSR) is facing new challenges. Our research delves into the influencing factors and mechanisms for CSR reputation under green and low-carbon transition and provides practical enlightenment for enterprises to achieve sustainable development. This paper constructs a comprehensive index system of CSR from five dimensions (innovation, coordination, sustainability, openness, and sharing), and CSR reputation of China's A-share listed companies is comprehensively estimated by using an entropy method and data from 2013 to 2021. Then, from the perspective of external supervision and internal governance, we discuss the influence factors of CSR reputation, with an emphasis on the impact of public environmental concerns. Finally, the realization mechanism of CSR is further revealed. It is found that public environmental concern and the expansion of the enterprise scale boost the enhancement of CSR reputation. However, a higher proportion of female managers tends to hinder CSR reputation. Furthermore, public environmental concern plays a more prominent role in improving CSR reputation of non-state-owned and eastern enterprises. Additionally, public environmental concern significantly enhances CSR reputation through green technology innovation and executive environmental awareness. This research provides valuable insights for improving CSR reputation and optimizing regulatory compliance and governance practices. [ABSTRACT FROM AUTHOR]

Resource-based regions support national economic development and are essential sources of basic energy and raw materials. In the post-pandemic era, however, there are practical situations to deal with, such as a fractured industrial chain, a weaker industrial structure, and a sharp reduction in economic benefits. Based on data collected from 68 cities in China, from 2010 to 2021, with 816 observations, this paper explores the industrial development process of resource-based regions in China and the change in the toughness of the industrial structure under the impact of COVID-19. The paper studies and analyzes industrial development trends, industrial structure toughness, and spatial spillover effects. The methods used are the Markov chain model and the Industrial Structure Advancement Index. By building the spatial Dubin model, the paper analyzes the spatial spillover effect of regional industrial development. It decomposes the spillover effect using the partial differential model based on regression. The results show that, during the study period, the comprehensive development level of industries in resource-based regions in China was slowly improving and tended to stabilize after entering the post-pandemic era. The evolution of an advanced industrial structure is significantly heterogeneous among regions, and each region has different toughness. The impact of COVID-19 has reduced the toughness of China's resource-based regions' industrial structure. The spatial spillover effect of regional industrial development is significant. Labor force, technology input, and industrial-structure optimization have different impacts on the industrial development of neighboring regions. In the post-pandemic era, China has used new management methods for more innovation. In order to achieve low-carbon, environmental protection, and sustainable development of resources, realize the rapid recovery of the toughness of industrial structure in China's resource-based cities, and reduce the impact of the COVID-19 pandemic, China proposes to expand the supply of resources, improve the allocation of resources, optimize the direction, promote the rational flow and efficient aggregation of various factors, and enhance the impetus for innovation and development. [ABSTRACT FROM AUTHOR]

Economic policy uncertainty has had an important impact on trade and sustainable economic development. Especially in some specific industries, uncertainty has increased dramatically. The extant related literature mainly analyzes the nexus between uncertainty and trade across different industries and focuses less on a specific industry. Using Chinese customs data on HS 8-digit products over the period of 2000–2013, this paper first investigates the impact of both foreign economic policy uncertainty (EPU) and domestic intra-industry trade on China's mechanical and electrical product exports to 23 trading partners and applies pooled OLS regressions to conduct an empirical study. This paper finds that EPU has a significant inhibition effect on mechanical and electrical product exports; conversely, intra-industry trade can both significantly promote exports and alleviate the inhibition effect of EPU. In addition, the export impact of EPU varied with different trade patterns. It can significantly inhibit processing exports, while it has no effect on ordinary exports. The results of this paper indicate that in the context of increasing uncertainty, our findings could have far-reaching policy implications for China to build a new development pattern of domestic and international dual circulation. [ABSTRACT FROM AUTHOR]

At present, a new pattern of world economic development is taking shape, and different development models featuring a green, low-carbon, and recycling economy have become the goals pursued by all countries. China is in a critical period of economic transformation. Establishing a sound financial system for green, low-carbon, and recycling economic development is an essential initiative for China to realize the dual-carbon goal, build a modern financial system for sustainable development, and promote the construction of a community of human destiny. Therefore, it is of great practical significance to dynamically monitor the development of China's green, low-carbon, and recycling economy and explore regional development differences to realize coordinated and sustainable regional development. This paper measures the level of green, low-carbon, and recycling economy development in 30 provinces and cities in China by constructing a dynamic evaluation system for green, low-carbon, and recycling economy development and utilizing a dual incentive model. The empirical results show that since 2014, the level of green, low-carbon, and recycling economy development in China's provinces and cities has been on an upward trend. Still, the level of action needs to be balanced. Therefore, it is imperative to create an institutional environment conducive to advancing green and low-carbon technologies, promoting structural adjustment and energy efficiency, and reducing regional differences in green, lowcarbon, and recycling development. [ABSTRACT FROM AUTHOR]

Freshwater aquaculture plays an important role in the global aquaculture industry. The success of freshwater aquaculture relies on the integration of bio-ecological remediation technologies to ensure its sustainable development. This paper systematically reviews the global literatures on bio-ecological remediation of freshwater aquaculture environments from 1990 to 2021, and discusses in detail the research progress and status quo in this field using both bibliometric analysis and content analysis. Our results indicate that the number of publications per year has increased year by year, with a particularly rapid increase after 2015. Institutions and researchers from China and the USA publish the greatest number of papers and contribute the most to this field. By analyzing the research progress in this field, we also find that the protection and restoration of freshwater aquaculture environments has received attention since as early as 1990, such as the application of constructed wetlands and recirculating aquaculture systems. Recently, researchers have increasingly focused on the use of microbial communities in remediation. Furthermore, vanRijn, J's papers are of great value to the research in this field. In content analysis, the application of primary technologies, including plant selection, aquatic animals, microorganisms, and biological filtration and purification equipment, as well as ecological engineering technologies with combinations of various types of organisms, is described to improve the effectiveness and efficiency of remediation. The performance, advantages, disadvantages, or limitations and prospects of these technology applications are analyzed in detail. By comparison, ecological engineering is shown to be the best remediation technology, being most comprehensive, and well-established. Taken together, this paper composes and summarizes existing work in this field, and provides guidance for future research on the improvement of existing technologies and the development of new technologies, with the aim of enhancing remediation capability, improving ecological sustainability and ensuring economic viability. [ABSTRACT FROM AUTHOR]

The coupling coordination of agricultural technology innovation with food security is of great significance for high-quality agricultural development. By identifying the coupling coordination relationship between the two systems and the influencing factors, this paper aims to promote the virtuous cycle of coordinated development between regional agriculture and technology, as well as accelerate the realisation of high-quality development of Chinese agriculture. Therefore, this paper explores the spatial and temporal coupling characteristics of the two using the entropy value method, coupling coordination degree model, and exploratory spatial data analysis, and it screens for important influencing factors using the grey correlation model. The main results show that ① the coupling coordination relationship between agricultural technology innovation and food security in China is at a dissonant stage, but the value of the coupling coordination degree increases from 0.2076 to 0.3437 during the period of study, and the level of coordination gradually improves. ② The degree of coupling coordination in the provincial space exhibits a distribution pattern of "high in the east and low in the west". The areas of high value are primarily situated in the provinces of Shandong, Jiangsu, and other provinces along the southeastern coast of China, while the areas of low value are mainly located in the provinces of Qinghai, Ningxia, and other provinces in inland northwest China. ③ The Moran's index of provincial coupling coordination is greater than 0, showing a certain positive correlation, and there is a significant pattern of spatial aggregation. ④ The correlation coefficients between the influencing factors and the degree of coupling coordination are all greater than 0.35, indicating a moderate or high correlation, but the significance of technological support capacity and food distribution security increased over time. [ABSTRACT FROM AUTHOR]

As the global environmental crisis evolves, China’s traditional industries have serious problems of high energy consumption, high emission and low energy efficiency. Developing green industries has become an important direction of China’s industrial transformation and upgrading. This paper selects scientific innovation industry as a typical representative of green industry and studies its financing environment assessment. In order to solve the financing dilemma faced by the science and technology innovation industry, this paper puts forward the evaluation method of the financing environment of science and technology innovation industry based on Bayesian network from the Angle of industry particularity. In this paper, Netica software is used to construct a Bayesian network model of the financing environment of the science and technology innovation industry, and the financing environment of the science and technology innovation industry in 2016-2020 is inferred according to the annual probability distribution. Then, the sensitivity analysis is carried out, and the hierarchical policy simulation is used to simulate the conditional probability of the initial node and the intermediate node respectively, so as to determine the impact of each node on the financing environment, and finally obtain the optimization path. The research results can be of great value for improving the financing environment of scientific innovation industry and promoting the development of green industry. [ABSTRACT FROM AUTHOR]

This paper proposes a novel aviation CO 2 emissions reduction method by introducing a market-based incentive mechanism. An aviation carbon emissions prediction model is proposed to characterize both the microscopic flight dynamics and the macroscopic air traffic demand trend. Based on emissions prediction, a linear climate response model is applied to evaluate the environmental impact of the aviation carbon emissions. Finally, a market-based framework for aviation CO 2 emissions reduction is established based on a two-phase carbon trading model, which provides a piecewise charge method through emission taxation and cap-and-trade. A case study is carried out to demonstrate the effectiveness of the proposed framework using a real-world dataset from the Hefei Air Traffic Control Zone in China. Three scenarios are defined to describe the possible development speed of sustainable aviation fuel application in the future: not applied, medium-speed development, and high-speed development. The results show that the carbon peak will be reached in 2025 in the high-speed development scenario, when the emission amount and associated environmental impact will be reduced by 23.7% and 22.3%, respectively. Thus, the market-based framework proposed in this paper can effectively reduce aviation CO 2 emissions and mitigate the effects of global warming. • An aviation CO 2 emissions prediction model is proposed considering both microscopic flight dynamics and macroscopic traffic demand. • A more efficient market-based CO 2 emission reduction framework is developed based on a two-phase carbon trading model by means of taxation and cap-and-trade. • Case study shows that the proposed method has a more optimal incentive for CO 2 emission reduction. [ABSTRACT FROM AUTHOR]

Chinese industrial heritage is the materialized carrier and historical witness of the evolution of urban spatial structure and industrial development. As an inseparable part of cultural heritage, it has rich historical, social, economic, scientific, technological, and aesthetic value. However, industrial heritage as a value is not suffi ciently acknowledged in the Chinese society. The factories, their activity, and their historical evolution are often disconnected and isolated from the daily life of the cities, being quite an unknown aspect for most citizens. In addition, due to the acceleration of urbanization, many industrial heritages in cities have disappeared. China has spent two decades promoting sustainable development of its industrial heritage, but there is still a lack of knowledge on how to promote sustainable development of industrial heritage through digital education. Based on these findings the paper discusses our research that promotes sustainable development aspects of industrial heritage, and our subsequent work has particularly focussed on associated landscape recovery. It does so by focussing on the particular highly valued heritage case of the Anshan Steel production site in China, and the environmental consequences of the Dagushan Open mine on the landscape. The paper ends with a critical reflection on how a digital tool can help to shape industrial heritage education, appreciation and involvement, and hence foster sustainable development processes. [ABSTRACT FROM AUTHOR]

Carbon neutrality is the only way for green low-carbon development. Technological progress is an important starting point for improving energy efficiency. Through scientific and technological innovation, improving energy efficiency is a practical way to achieve the goal of carbon neutralization. Due to the limitation of data and index selection, there is no qualitative analysis of carbon neutrality in this paper. Compared with previous studies, the paper has the following contributions: Firstly, the energy efficiency score of China's provincial level is measured with the DEA method and it is found that the average energy efficiency score of the eastern region is the highest, followed by the western region, and finally the central region. The results also show that the energy efficiency is not in accordance with the economic growth. The regions with higher energy efficiency scores are not always economically developed because of huge energy consumption supporting the economic development. Secondly, the Tobit method is used to study the impact of the reverse technology spillover effect of OFDI on China's energy efficiency. The results show that the spillover effect has a significant positive effect on the improvement of China's energy efficiency, and has a positive impact on the eastern and western regions, but has no significant impact on the western region. Finally, we put forward some policy recommendations to increase energy efficiency to approach carbon neutrality and thus promote green economic development. This paper enriches the content of energy economy, the research method is innovative, and the conclusion is more scientific. [ABSTRACT FROM AUTHOR]

This study focuses on the objective assessment of sport development in socio-economic environments, considering the challenges faced by the industry. These challenges include disparities in regional investments, limited market participation, slow progress towards sports professionalization, and insufficient technological innovations. To tackle these challenges, we suggest implementing an integrated evaluation model that follows the DPSIR (Drivers, Pressures, States, Impacts, Responses) framework and incorporates comprehensive socioeconomic indicators. Subsequently, we utilized the Entropy power method and TOPSIS (Order Preference Technique for Similarity to an Ideal Solution, TOPSIS) analysis to comprehensively assess the progress of competitive sports development in 31 provinces and cities in China. Additionally, we recommended further developments in competitive sports and proposed precise strategies for promoting its growth. The framework and methodology developed in this paper provide an objective and scientifically based set of decision-making guidelines that can be adopted by government agencies and related industries in order to create successful plans that promote the sustainable growth of competitive sport. This is expected to bolster the nation's global influence, enhance social unity, and fuel economic expansion. The findings of this study offer policymakers valuable insights regarding competitive sports and can advance the development of the sports sector in China, thus making it a crucial driver of regional socio-economic progress. [ABSTRACT FROM AUTHOR]

In the process of global urban development, there are urgent ecological security and environmental pollution problems, green development is the fundamental way for urban sustainable development, economic transformation and mitigation of ecological and environmental problems. Based on the panel data of 283 cities at prefecture level and above in China from 2003 to 2017, this paper analyzes spatial–temporal evolution characteristics of urban green development efficiency (UGDE) and the peer effects of UGDE between cities of different grades. It is found that during the study period, in terms of temporal evolution, the average UGDE in China increased from 0.47 in 2003 to 0.61 in 2017, with a cumulative growth rate of 29.79%, showing a rising trend in general. In terms of spatial evolution, the number of low-efficiency cities and medium-efficiency cities continued to decrease. The eastern region has always been the main distribution area of higher-efficiency cities and high-efficiency cities; in the central region, UGDE in most cities improved significantly; in the western region, UGDE has always lagged behind that in the eastern and central regions. In addition, the center of gravity of UGDE presented a trend of northwest migration in general, with a total displacement of 100.07 km, and UGDE showed a spatial dispersion trend. The empirical results indicate that the improvement of UGDE in large cities has a driving effect on that in neighboring medium cities and small cities through the positive peer effect, and the growth of UGDE in medium cities has a promoting effect on that in neighboring small cities through the positive peer effect; the increase of UGDE in medium cities has a positive peer effect on that in neighboring large cities, and the growth of UGDE in small cities has a positive peer effect on that in neighboring medium cities; UGDE promotes each other between large cities through the positive peer effect. [ABSTRACT FROM AUTHOR]

Organization's sustainability performance is influenced by its suppliers' sustainability performance. This relationship makes sustainable supplier development a strategic competitive option for a buyer or focal organization. When considering sustainable supplier development practices (SSDPs) adoption, organizations have to balance and consider their limited financial resources and operational constraints. It becomes necessary to both select the best SSDPs set and investment allocation among the selected SSDP set such that the organization can maximize overall sustainability performance level. In this paper, an integrated formal modeling methodology using DEMATEL, the NK model, and multi-objective linear programming model is used support this objective. The proposed methodology is evaluated in a practical sustainable supply chain field study of an equipment manufacturing company in China. Through case study, we found that the interdependency among SSDPs must be considered in SSDPs selection and investment allocation problem. Theoretical, managerial and methodology implications, conclusions, and directions for future research are also presented. [ABSTRACT FROM AUTHOR]

Electric vehicles (EVs) are widely recognized as low-carbon transportation that adopts green and clean technology with contributing to mitigating global climate change. However, it appears that the practice in using EVs has not gained widespread popularity despite the promotion of various incentives with the presence of various restricting factors and challenges. In conducting this study in the context of China, we hypothesize that restricting factors have varying impacts on promoting EVs in China, where the adoption of EVs is of great potential. This paper identifies these restricting factors by applying AHP-FCE integrated approach, and these factors are classified into five dimensions, namely, technical, infrastructural, economic, governance and social. The results indicate that the top five restricting factors are security issues, limited driving range, long charging time, improper distribution of charging stations and lack of sharing between charging piles respectively. Our research contributes to a better understanding of EV restricting factors and their significance, which offers the assistance in the formulation of policies and decisions in order to promote effectively EVs in China. • The promotion of EVs is of great potential in China for mitigating global climate change. • Explore the RFPEVs in China using AHP-FCE integrated approach. • The RFPEVs in China can be classified into five dimensions, namely, technical, infrastructural, economic, governance and social. • The technical and infrastructural related are the most important constraints. • The main three important restricting factors are security issues, limited driving range, long charging time. [ABSTRACT FROM AUTHOR]

Coordinating policies is an essential guarantee for carbon emission reduction and sustainable development. Based on the theoretical framework of the policy paradigm, we quantitatively analyze 266 policy documents on promoting carbon emission trading and green financial policies from 2011 to 2022 using the content analysis research method. Based on the matching network of "policy objectives-policy tools," we analyze the synergistic characteristics of carbon emission trading policies and green financial policies in promoting carbon emission reduction targets and reveal the matching mode of "objectives-tools" of green financial policies by using social network analysis. It is found that, first, from the perspective of policy objectives, the main policy objectives of carbon emissions trading are to promote green innovation of enterprises, and the main policy objectives of green finance are to promote green development, which reflects the consistency and endogenous motivation of policy objectives. Secondly, command-control and market incentive policy tools are the main policy tools in the structure of policy tools. The proportion of public participation policy tools is small, and there is a structural asymmetry. Third, carbon emissions trading tools focus on supervision, adjustment, and platform construction. The green financial policy tools have the characteristics of guidance, public welfare, and externality. The two constitute a complementary, embedded, and integrated ' double synergy ' carbon emission reduction policy. Based on this, this paper puts forward some suggestions to promote policy coordination and provides a reference for China to achieve the dual carbon goal. [ABSTRACT FROM AUTHOR]

China has initiated a green transformation plan in 2015, which was soon applied to agriculture, known as the agriculture green development (AGD) initiative, with the goals of achieving food security, high resource use efficiency, and an ecofriendly environment. To assess the agricultural transformation from 1997 to 2020, this paper proposes a national-scale indicator system consisting three dimensions (socioeconomic, food production and eco-environmental) and ten sub-dimensions to quantify the AGD score. This study showed that AGD score in China was at a moderate level during 1997-2010, scoring 40 out of 100. During this stage, decreased scores in the sub-dimensions of resource consumption, environmental quality, and environmental cost have offset the improvement in the socioeconomic dimension, resulting in fluctuated scores around 40. In the second stage (2011-2020), China's AGD score improved but still at moderate level, scoring an average of 46.3, with each dimension increasing by 5.3%-25.0%. These results indicate that China has made progress in the agricultural transformation, transitioning from conceptualization to actions through the implementation of various policies and projects. However, the study emphasizes the need for more effort to address the insufficient and unbalanced development, along with the growing eco-environmental challenges, especially the trade-offs among dimensions. [ABSTRACT FROM AUTHOR]

Along with the rapid development of digital economy and the urgency of green development, more studies focus on the relationship between digital economy and green development. However, the existing research focuses on the impact of digital economy on green total factor productivity, ignoring digital technology, which is a key technology for improving efficiency to achieve green development. Exploring the impact of digital technologies on green total factor productivity helps to understand the impact of digital economic development on green development from an internal perspective of the digital economy. This paper uses an SBM-GML index to measure regional green total factor productivity based on provincial level data and innovatively constructs digital technology indicators based on micro-level ICT patent data in China. Fixed-effects model is used to study the impact of digital technology on green total factor productivity and moderating model is used to examine the moderating effect of capital accumulation. The results indicate that: (1) At the national level, digital technology is conducive to the improvement of green total factor productivity, and the result passes the robustness test. From a dynamic long-term impact perspective, the effect of digital technology development on green total factor productivity is showing an increasing trend. (2) Digital technology's effect on green total factor productivity is heterogenous. The results of the subregional heterogeneity analysis indicate that the effect is greater in the coastal regions and southern regions. The results of the heterogeneity analysis of the external environment indicate that the effect is greater in regions with smaller economies, regions with lower external economic dependence, and regions with lower government fiscal intervention. (3) Capital accumulation has moderating effect in the process of digital technology affecting green total factor productivity which will inhibit the improvement of digital technology development on green total factor productivity. Based on the conclusions, to better utilize the role of digital technology in promoting green development, it is necessary for the government to build a digital technology exchange platform, promote the balanced development of digital technology, and expand domestic demand to reduce the dependence on capital accumulation. [ABSTRACT FROM AUTHOR]

In the new normal period, the trend changes and adjustments of the environment such as international trade, production capacity, labor supply and resource constraints have put forward new requirements for China's industrial development, which have brought new challenges and given new opportunities. In the new normal stage where economic growth continues to decline, industrial growth is still an important support for economic growth. The advancement of industrial technology is the main driving force for improving the total factor productivity of the industrial industry. Therefore, the most important thing to promote industrial growth is to upgrade the level of industrial technology. In response to the above-mentioned problems, this paper analyzed the relationship between industrial technology and industrial output in the new normal environment by using the BP neural network (BPNN) algorithm. The connection between the two has been found, which provided a clear direction for the functional adjustment of economic law. Experimental studies have shown that there is a positive relationship between industrial technological progress and industrial output. When other conditions are the same, and when the non-new normal is selected, industrial output increases by about 0.36% for every 1% increase in industrial technological progress. When choosing to be in the new normal, industrial technological progress has a higher impact on industrial output. For every 1% increase in technological progress, industrial output increases by about 0.39%. [ABSTRACT FROM AUTHOR]

With the acceleration of urbanization and the significant improvement of people's living standards, the motorization of urban transportation in China has developed rapidly, and the number of urban motor vehicles has sharply increased. This has also caused a series of problems such as increasingly severe urban road traffic congestion, increased traffic energy consumption, and atmospheric environmental pollution. Unprecedented social and environmental pressures have put forward higher requirements for the development model of urban transportation. Against the backdrop of increasingly severe conflicts between urban transportation and resource environment in China, green transportation with the goal of "meeting maximum demand with minimum consumption" has gradually received widespread attention from the academic community. The urban green transportation development level evaluation is a classical multiple attribute decision making (MADM). In this paper, we define the triangular Pythagorean fuzzy sets (TPFSs) and investigate the MADM problems under TPFSs. Based on the traditional geometric BM (GBM) operator and generalized weighted GBM (GWGBM) operator, some triangular Pythagorean fuzzy operators are proposed: triangular Pythagorean fuzzy generalized GBM (TPFGGBM) operator and triangular Pythagorean fuzzy generalized WGBM (TPFGWGBM) operator. Accordingly, we have took advantage of these operators to develop some approaches to work out the triangular Pythagorean fuzzy MADM. Ultimately, a practical example for urban green transportation development level evaluation is took advantage of to validate the developed approach, and an influence analysis of the parameter on the final results is been presented to attest its availability and validity. [ABSTRACT FROM AUTHOR]