摘要：
The purpose of this paper is to analyze the impact of agricultural carbon emissions on China's agricultural economic development, which is of great significance to the modernization of China's agricultural sector. Based on the panel data of 31 provinces in China from 2019 to 2022, this paper selected 10 carbon emission-related indicators and comprehensively adopted a pooled regression model, a fixed effect model, and a random effect model to evaluate the impact. It also passes the Hausman test and Tobit model stability test. The results show that limiting agricultural carbon emissions in China has a significant impact on agricultural economic development; the total power of agricultural machinery (TPAM), rural electricity consumption (REC), amount of agricultural chemical fertilizer applied (AACF), and amount of plastic film used in agriculture (APF) have a significant positive impact on the output of agricultural economy (OAE), while cultivated land (CA) has no significant impact. Chinese agriculture is currently on the left side of the inverted "U" shape of the environmental Kuznets curve. Therefore, there is a need for more research and development of agricultural biotechnology and agricultural policy support to strengthen farmers' knowledge of how to reduce carbon emissions using the above indicators, which can promote agricultural economic growth and achieve high-quality agricultural development in China.
摘要：
Research has paid much attention to climate change and natural resource management while overlooking a critical area of harvested cropland, land degradation, and agricultural growth. Nonetheless, the global population is rapidly increasing, and China, as the most populated economy globally, could face the issue of land degradation and scarcity of agricultural products. It is crucial to recognize the factors determining agriculture growth in the region. In this regard, this research intends to analyze the influence of land degradation, agriculture cropland, and agricultural growth. China has increased its green energy production and consumption climate change abatement, and water utilization for industrial and agricultural purposes. Therefore, these factors are also considered along with the socioeconomic conditions and technological advancement. Covering the quarterly data from 1980Q1 to 2023Q4, this research uses time series cointegration tests, which validate the presented of long-run association. Following the mixed order of integration on variables, this uses the autoregressive distributed lag approach. The results mention that harvested cropland, water resources, and green energy are the significant drivers of agriculture growth in the short and long run. The study recommends investing in modern agriculture technology, implementing policies to improve socioeconomic conditions, enhancing circular economy and maintaining food security.
作者机构：
Authors to whom correspondence should be addressed.;School of Economics, Hunan Agricultural University, Changsha 410128, China;[Hui Liu; Huishuang Jin] Authors to whom correspondence should be addressed.<&wdkj&>School of Economics, Hunan Agricultural University, Changsha 410128, China
通讯机构：
[Hui Liu; Huishuang Jin] A;Authors to whom correspondence should be addressed.<&wdkj&>School of Economics, Hunan Agricultural University, Changsha 410128, China
关键词：
availability of credit;large-scale operations;agricultural machinery;productivity;China’s rural areas
摘要：
Rural finance provides financial support for agricultural production. Agricultural credit, as the most important rural financial resource, is designed to regulate rural economic activity and guide the rational adjustment of the rural economy and industrial structure. However, the relationship between the availability of credit to farmers and their choice of cropping behavior in the agricultural production process remains unexplored in depth. To fill this gap, this study constructs an analytical framework for ‘Agricultural credit-production factor allocation-planting structure decision-making behaviour’. Using data from a large-scale rural survey in China, this paper empirically examines the impact of agricultural credit on the specialization and ‘grain-oriented’ of farm households’ planting structure using the OLS model, the mediated effects model, and the 2SLS model. In addition, this study explores the mechanism of the allocation of agricultural production factors in this process. This has enriched the theoretical and practical research on rural finance for agricultural development. Studies have shown that agricultural credit contributes significantly to the specialization and ‘grain-oriented’ of the planting structure. The findings of the study also show that agricultural credit promotes cropping restructuring among farmers through large-scale operations, technological advancement, and green production. In addition, there are differences in the impact of agricultural credit on the planting structure depending on the type of food-producing area, the scale of operation, the development of digital infrastructure, the education of the head, and the source of credit. These findings suggest that increasing rural financial support and promoting the restructuring of land improvement, agricultural machinery, and green production factors may be an effective path to optimizing the cropping structure and improving the efficiency of production factor utilization.
期刊：
Land Degradation & Development,2025年 ISSN：1085-3278
通讯作者：
Yang, YP
作者机构：
[Han, Chengji] Hunan Agr Univ, Econ Coll, Changsha, Peoples R China.;[Li, Tong] Univ Queensland, Sch Agr & Food Sustainabil, St Lucia, Qld, Australia.;[Yang, Yuping; Yang, YP] Acad Natl Food & Strateg Reserv Adm, Tech & Econ Res Inst Grain Ind, Inst Grain Ind Technol & Econ, Beijing, Peoples R China.;[Han, Feng] Natl Forestry & Grassland Adm, Dev Res Ctr, Beijing, Peoples R China.
通讯机构：
[Yang, YP ] A;Acad Natl Food & Strateg Reserv Adm, Tech & Econ Res Inst Grain Ind, Inst Grain Ind Technol & Econ, Beijing, Peoples R China.
关键词：
data envelopment analysis;Qinba Mountain areas;SDGs;sustainable wellbeing
摘要：
Under the global Sustainable Development Goals initiative, the pursuit of well-being is gradually shifting from wealth to sustainable development. Re-examining the contribution of regional economic, ecological, and social development to the common creation of well-being, analyzing their deep connections, will help us understand the multidimensional concepts and processes of development, and provide ideas for further promoting the construction of a more equitable and sustainable world. China is moving from comprehensive prosperity to common prosperity, and the continuous improvement of sustainable well-being provides effective samples for our research. This study focuses on 46 counties in the Qinba Mountains Areas of China and constructs a coupled performance indicator system for sustainable well-being in mountain villages. The Super SBM model is used to evaluate the matching performance of input and output factors, with Economic capital, Ecological capital, and Social capital as explanatory variables and Sustainable Happiness Index as the expected output. Research has found that: (1) There is a mismatch between the input and output factors of sustainable well-being in the Qinba Mountain Areas, and management techniques are a key factor hindering the improvement of the coupling performance level of sustainable well-being in the Qinba Mountain Areas; (2) The coupling performance level of sustainable happiness in the Qinba Mountain Areas is showing a downward trend, and only adjusting the input–output relationship by about 1.02% can achieve optimization and growth in performance level; (3) There is a significant shortage of input factors, with 87% of counties experiencing insufficient economic capital, about 76% experiencing insufficient arable land, and 41% experiencing insufficient social capital. In order to solve the above problems, it is necessary to strengthen the level of sustainable management in the ecological, economic, and social integration of the counties, respectively. Continuously promote capital investment in the mountain economy, such as logistics, industry, consumption, and public services, in order to upgrade the economy. Strict use of arable land and optimization of the land use structure, and implementation of arable land protection policies. Strengthening the level of social governance and enhancing the satisfaction of residents, thereby raising the level of sustainable well-being. This research will provide a useful reference for achieving sustainable development goals in similar regions of the world.
期刊：
Environment, Development and Sustainability,2025年:1-33 ISSN：1387-585X
通讯作者：
Chen, JY;He, M
作者机构：
[Zhou, Zhiyu] Sichuan Univ, Sch Econ, Chengdu 610065, Peoples R China.;[Chen, Jinyu] Cent South Univ, Sch Business, Changsha 410083, Peoples R China.;[Chen, Jinyu] Cent South Univ, Inst Met Resources Strategy, Changsha 410083, Peoples R China.;[He, Meng; He, M] Hunan Agr Univ, Sch Econ, Changsha 410128, Peoples R China.;[Liu, Tianqi] Xiamen Natl Accounting Inst, Xiamen 361000, Peoples R China.
通讯机构：
[He, M ] H;[Chen, JY ] C;Cent South Univ, Sch Business, Changsha 410083, Peoples R China.;Cent South Univ, Inst Met Resources Strategy, Changsha 410083, Peoples R China.;Hunan Agr Univ, Sch Econ, Changsha 410128, Peoples R China.
关键词：
Green fiscal policy;Anti-driving effect;Resource compensation effect;Corporate green innovation
摘要：
To support the carbon neutrality goal, China introduced a green fiscal policy in 2011, with a primary focus on energy conservation and emission reduction. However, there is a notable gap in empirical research regarding the incentive effects of this policy on corporate green innovation. Using a multi-period difference-in-difference model, this study examines whether the green fiscal policy drives green innovation in heavily polluting enterprises. The results indicate that: (1) the green fiscal policy sustainably enhances the green innovation capacity of heavily polluting enterprises in both quantity and quality. The results remain robust after a series of tests. (2) Mechanism analysis shows that the main paths for the green fiscal policy to promote corporate green innovation are through the anti-driving effect of higher external media pressure and internal environmental attention, and the resource compensation effect by increasing corporate environmental investment. (3) The green innovation-driven effect of the green fiscal policy is more significant among state-owned enterprises, enterprises with higher internal control quality and located in regions with stricter environmental regulations. Our findings highlight the critical role of green fiscal policies in driving corporate green transformation and sustainable economic development in developing countries.
关键词：
agricultural insurance;agricultural agglomeration;industrial integration;agricultural resilience;sustainable agricultural systems
摘要：
Agricultural insurance has achieved rapid development in China, but its role in enhancing agricultural resilience remains unclear. This article aims to fill this research gap by investigating the impact and mechanism of agricultural insurance on agricultural resilience from the perspectives of agricultural agglomeration and industrial integration. The empirical results demonstrate that agricultural insurance exerts a significant and positive influence on the resilience of agriculture, which remains valid even after accounting for endogenous factors through the application of two IV sets. Further mechanism analysis reveals that agricultural insurance primarily boosts agricultural resilience by encouraging horizontal agricultural agglomeration rather than vertical industrial integration. Nevertheless, the influence of agricultural insurance on agricultural resilience differs among regions. Specifically, its effect on agricultural resilience is markedly more pronounced in the eastern and central regions compared to the less-developed western regions. Moreover, its effect on the agricultural resilience in the main grain-producing areas is obviously stronger than that in the main grain-selling area and those with a balance between production and marketing.
关键词：
Industrial progress;agriculture development;growth;renewable energy use;CO 2 emission
摘要：
This study aims to reveal the influence of industrial progress and agricultural value addition on environmental harm and explores how the unique moderating role of institutional quality handles this association; using the panel ARDL approach on a panel of South and East Asian economies from 1980 to 2020. The baseline model proposes that for each 1% increase in agricultural added value and industrial progress, carbon dioxide emissions may fluctuate considerably positively by 0.563% and 0.758% respectively. In the long term, the plausibility of the upturned U-shaped association between economic growth and carbon dioxide emissions in South and East Asian economies has been confirmed in the analysis. The use of renewable energy considerably condenses long-term emission levels. Institutional quality is found to have a strong moderating effect on the link between the main model regressors (renewable energy use, industrial growth, GDP per capita, and agricultural value addition) and CO 2 emissions. Institutional quality supports the enhancement of industrial and agricultural capabilities and the improvement of environmental worth. Finally, the threshold results indicate that the influence of the main regression variables of the model (renewable energy utilization, industrial growth, per capita GDP, and agricultural added value) on carbon dioxide emissions has fully penetrated the institutional quality level. Strong, high-quality institutions, rather than weak institutions, can improve the aptitude of industry and agriculture to mitigate environmental degradation. In this pursuit, it becomes increasingly important to develop policies that support renewable energy based on institutional values.
关键词：
digital transformation;digital platform;enterprise strategy;complex network;evolutionary game;information dynamics
摘要：
The development of the digital economy is a strategic choice for seizing new opportunities in the latest wave of technological revolution and industrial transformation. As a critical tool for driving the digital transformation of enterprises, digital platforms play a pivotal role in this process. This study employs the evolutionary game theory of complex networks to develop a game model for the digital transformation of enterprises and utilizes the Fermi rule from sociophysics to characterize the evolution of enterprise strategies. Throughout this process, the interactive behaviors and strategic choices of enterprises embody the features of information flow and dynamic adjustment within the network. These features are crucial for elucidating the complexity and uncertainty inherent in strategic decision-making. The research findings indicate that digital platforms, through the provision of high-quality services and the implementation of effective pricing strategies, can significantly reduce the costs associated with digital transformation, thereby enhancing operational efficiency and innovation capacity. Moreover, the model reveals the competitive relationships between enterprises and their impact on transformation strategies, offering theoretical insights for policymakers. Based on these findings, the paper proposes policy recommendations such as strengthening infrastructure, implementing differentiated service strategies, and enhancing decision-making capability training, with the aim of supporting the digital transformation of enterprises across various industries and promoting sustainable development.
作者机构：
Modern Post College, Hunan Post and Telecommunication College, Changsha 410015, China;College of Business, Hunan Agricultural University, Changsha 410128, China;Author to whom correspondence should be addressed.;[Jin Xu] College of Economics, Hunan Agricultural University, Changsha 410128, China;[Ming Mo] College of Business, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Author to whom correspondence should be addressed.
通讯机构：
[Ming Mo] C;College of Business, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
digital transformation;rural elderly services;smart senior care;evolutionary game;simulation analysis
摘要：
Amid accelerating population aging and the rapid evolution of digital technologies, the digital transformation of rural elderly care services has become a pivotal strategy for restructuring the rural elderly care system. This study identified the local government, rural elderly care service centers, and the elderly population as the principal stakeholders, and developed a tripartite evolutionary game-theory model to examine the dynamic strategic interactions among these actors under the influence of digital technologies. The model further investigated the evolutionary trajectories and equilibrium conditions of their behavioral strategies. Numerical simulations conducted via MATLAB were employed to validate and visualize the model outcomes. The findings revealed the following. (1) The evolutionary equilibrium of digital elderly care service development in rural areas is jointly determined by the strategic choices of the three parties, with its stability shaped by a complex interplay of cost structures, incentive mechanisms, and utility outcomes. (2) Cost factors exhibit heterogeneous effects across stakeholders. Specifically, excessive regulatory costs diminish the performance incentives of local governments, digital infrastructure and operational expenditures influence service centers’ capacity for precision-oriented service delivery, and the participation of the elderly is constrained by affordability thresholds. (3) Local government behavior demonstrates a pronounced sensitivity to incentives. In particular, rewards and social reputation conferred by higher-level governmental bodies exert a significantly stronger influence than punitive measures. (4) Government subsidies for digital transformation enhance cross-stakeholder synergy through dual transmission channels. Nonetheless, excessive subsidies may escalate fiscal risk, while moderately calibrated penalty mechanisms effectively curb moral hazard within service centers. This study advances theoretical understanding of multi-stakeholder coordination in the context of digitally enabled rural elderly care and provides actionable insights for policymakers aiming to formulate interest-aligned strategies and construct resilient, intelligent governance systems for elderly care.
关键词：
climate risk perception;clean energy market;dynamic connectivity analysis
摘要：
The acceleration of global climate change presents unprecedented challenges to market stability and sustainable social development. Understanding how market dynamics are impacted by perceptions of climate risk is essential to creating risk management plans that work. Current research frequently concentrates on static evaluations of how climate risk is perceived, ignoring its dynamic influence on clean energy markets and the intricate channels via which these risks spread. To examine the dynamic influence of climate risk perceptions on clean energy markets, this study builds a spillover network model. We determine the main risk transmission pathways and their temporal variations by looking at changes in market connection over time. Our results demonstrate that climate risk perceptions have a substantial direct and indirect impact on the volatility of clean energy markets. Specifically, the 'Risk Concern Index (GCTC and GCPC) -> Clean Energy Market Index -> Climate Policy Uncertainty Index (CPU) -> Risk Indices (GCTRI and GCPRI)' pathway highlights how public and policymaker concerns about climate risk significantly influence market behavior and overall dynamics. Furthermore, the dynamic analysis demonstrates that market spillovers are significantly amplified by economic and geopolitical events, highlighting the necessity of taking external shocks into account when designing policies. This study offers fresh perspectives on how climate risk perception affects clean energy markets, serves as a useful resource for investors and policymakers, and encourages the creation of robust risk management plans and market mechanisms.
作者机构：
[Deng, Jingjing] Hunan Agr Univ, Sch Econ, Changsha 410125, Peoples R China.;[Li, Yi] Hunan Normal Univ, Coll Tourism, Changsha 410081, Peoples R China.;[Ding, Yu] China Merchants Bank, Postdoctoral Sci Res Work Stn, Shenzhen 518040, Peoples R China.;[Liu, Fengqi] Nankai Univ, Sch Econ, Tianjin 300071, Peoples R China.
通讯机构：
[Li, Y ] H;Hunan Normal Univ, Coll Tourism, Changsha 410081, Peoples R China.
关键词：
Media attention;Negative media coverage;Green technology innovation;Consumer choice pressure;M14;M21;O32
摘要：
This study explores the effect of media attention on corporate green technology innovation. It uses the green patent application data of listed companies in China’s heavy polluting industries between 2006 and 2020, with negative media coverage as a proxy variable for media attention, and employs a staggered difference-in-differences model. The results demonstrate that negative media coverage significantly and positively affects corporate green technology innovation. The mechanism analysis results show that negative media coverage drives green technology innovation through consumer purchasing choice pressure. The role of negative media coverage in promoting corporate green technology innovation is more apparent in regions with a high level of marketization and strong environmental protection intentions among residents. State-owned enterprises and those adopting proactive environmental strategies primarily manifest the positive impact of negative media coverage on green technology innovation. This study provides a new perspective for understanding the role of media attention on corporate governance by introducing green technology innovation and new insights for guiding policymakers and managers to effectively implement green innovation.
通讯机构：
[Ding, Y ] S;Shanxi Univ Finance & Econ, Sch Stat, Taiyuan, Peoples R China.
关键词：
Green technology innovation;firm lifecycle;financial performance;social performance;corporate sustainability;D25;O32;Q55
摘要：
Amid growing pressure for sustainable development, understanding the impact of green technology innovation (GTI) on firm performance has become increasingly important. However, existing studies on this relationship remain inconclusive, especially regarding how it varies across different firm lifecycle stages. This paper uses data from 4,275 firms in China's A-share market from 2007 to 2022 to explore the impact of GTI on firm performance, considering lifecycle stages. The results show that GTI positively impacts both financial and social performance. GTI enhances financial performance by boosting competitiveness and elevates social performance through improved environmental sustainability. Heterogeneity analysis reveals that GTI has a stronger impact on financial performance in manufacturing and private enterprises, while it more effectively improves social performance in service and state-owned enterprises. Additionally, the results indicate that GTI's positive impact is significant only in the mature phase, with no significant effects observed in the growth or declining stages. These findings suggest that firms should strategically integrate GTI, tailoring efforts according to different lifecycle stages and adjusting strategies based on ownership and industry characteristics. Meanwhile, policymakers can support GTI adoption by providing targeted incentives and creating a conducive environment through flexible regulations and fintech advancements, especially for firms in resource-constrained stages.
关键词：
income inequality;ordered probit model;rural residents;social mentality;subjective well-being
摘要：
Since the initiation of economic reforms and opening-up, China's economy has achieved remarkable growth, leading to a significant improvement in the standard of living for its people. However, the trickle-down effect of this growth has not been equitably distributed across all segments of society. This study attempts to analyze the subjective well-being (SWB) of Chinese rural residents using data from the 2021 Chinese General Social Survey (CGSS). An ordered probit (OProbit) model is constructed to investigate the impact of income inequality on the subjective well-being of Chinese rural residents. The findings reveal three key insights: (1) the benchmark regression demonstrates a significant negative impact of income inequality on the subjective well-being of Chinese rural residents. (2) Social mentality emerges as a critical mediating channel through which income inequality undermines subjective well-being. (3) The impact of income inequality on subjective well-being varied significantly depending on factors such as age, gender, and marital status. As enhancing well-being gains increasing recognition as a central goal in global public health policy, the findings of this study provide valuable insights for designing policies aimed at improving subjective well-being, particularly in rural contexts.
关键词：
Multi-functional agriculture;Grain family farm;sustainable development;Evaluation system;China
摘要：
Introduction: Grain family farms play an important role in promoting agricultural modernization and rural revitalization in China. Taking Hunan Province as an example, based on survey data from 400 grain family farms and agricultural multi-function theory, 24 specific indicators were selected from three dimensions-economic benefits, social benefits, and ecological benefits-to construct an evaluation system for the sustainable development level of grain family farms. Methods: The entropy weight TOPSIS method was used to measure the sustainable development level of grain family farms in Hunan Province, and the obstacle factor diagnosis model was used to explore the main obstacle factors affecting the sustainable development of grain family farms. Results: (1) The sustainable development level of grain family farms in Hunan Province was classified as good overall with respect to the classification criteria of existing relevant studies, but there were comparative differences in each dimension among the four regions (central Hunan, northern Hunan, southern Hunan, and western Hunan) of Hunan Province. (2) According to the diagnosis and analysis results of the obstacle degree, the top six obstacle factors affecting the sustainable development level of grain family farms in Hunan Province were the effective use of water resources, soil protection, and improvement efforts, the number of agricultural ecological culture inheritance activities, carbon emission management, the number of jobs provided for farmers, and adaptability to external environmental changes. Discussion: Relevant policies and systems should be formulated based on local conditions to enhance the integrity and synergy of the development of grain family farms in Hunan Province and to enhance the sustainable development ability of grain family farms in Hunan Province.
摘要：
This paper investigates the impact of environmental courts on pollution abatement at the city level, utilizing the establishment of environmental courts in China as a quasi-experiment. A spatial difference-in-differences model is employed to control for the influence of environmental courts on neighbouring non-pilot cities. The results underscore the effectiveness of environmental courts in reducing industrial pollutant emissions, evident in both the pilot areas and adjacent non-pilot areas. The influence of environmental courts on pollution abatement is more pronounced in cities characterized by stronger environmental regulations, higher level of economic agglomeration, and higher level of openness. Mechanism analysis shows that environmental courts promote environmental supervision by governments, public participation in environmental protection, and expenditure on environmental governance by firms. In summary, this paper unveils the tangible effects of environmental courts on pollution abatement and elucidates the mechanisms underpinning this relationship. These findings provide timely implications for regulators concerned with environmental protection.
关键词：
participation in cooperatives;Grain family farms;cultivated land quality protection behavior;Effects;China
摘要：
Introduction: The implementation of cultivated land quality protection is fundamental for ensuring the sustainable use of land resources, and it is the inevitable choice for maintaining the balance of agricultural ecology and promoting the long-term healthy development of agriculture. Methods: Based on survey data from 927 grain family farms in 13 major grain-producing areas in China, this paper empirically tests the effects of participation in cooperatives on the cultivated land quality protection behavior of grain family farms by using a logit model, an ordered probit model and the propensity score matching method. Results: The results show that participation in cooperatives has a significant positive effect on the implementation of cultivated land quality protection behavior and the degree of cultivated land quality protection of grain family farms. A series of robustness tests reveals that the conclusion of the study does not change. Heterogeneity analysis reveals that the probability of implementing cultivated land quality protection behavior significantly increased, and the effect was greater for farms with the younger farmers, farmers of lower education level, farmers of non-party members, larger scale of operation, longer establishment years, larger labor force, or provincial demonstration. Discussion: On this basis, we should vigorously support and guide grain family farms to participate in cooperatives, give full play to the advantages of cooperatives, effectively encourage farms to implement cultivated land quality protection behavior, and promote sustainable agricultural development.
