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.
期刊：
Land Degradation & Development,2025年 ISSN：1085-3278
通讯作者：
YuPing Yang
作者机构：
[YuPing Yang] Technical and Economic Research Institute of Grain Industry, Institute of Grain Industry Technology and Economy, Academy of National Food and Strategic Reserves Administration, Beijing, China;[Chengji Han] Economic College, Hunan Agricultural University, Changsha, China;[Tong Li] School of Agriculture & Food Sustainability, The University of Queensland, St Lucia, Queensland, Australia;[Feng Han] Development Research Center, National Forestry and Grassland Administration, Beijing, China
通讯机构：
[YuPing Yang] T;Technical and Economic Research Institute of Grain Industry, Institute of Grain Industry Technology and Economy, Academy of National Food and Strategic Reserves Administration, Beijing, 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.
通讯机构：
[Liu, H ] H;Hunan Agr Univ, Sch Econ, Changsha 410128, Peoples R China.
关键词：
Agricultural water conservancy;Cooperation strategy;Digitization;PPP project;SD evolutionary game
摘要：
This study constructed a system dynamics (SD) evolutionary game model, from which we analyzed the conditions that need to be met by multi-agents to achieve cooperation in agricultural water conservancy (AWC) Public-Private Partnership (PPP) projects. Simultaneously, this study used numerical simulation to depict the impact of initial participation willingness, reward, punishment, income, and other parameters of local governments, project enterprises, and farmers on the evolution strategy. The results firstly showed that the basic conditions for tripartite cooperation are to strengthen the rewards and punishments for project enterprises and improve the participation benefits of farmers. Secondly, it showed that increasing the rewards for farmers and improving the project dividend benefits can effectively motivate farmers to participate. Thirdly, it showed that enhancing the incentive subsidies and reputation benefits for project enterprise's participation, as well as strengthening the supervision of local government, boosts the motivation of project enterprises significantly. However, it is vital to ensure that the reward amounts are not too high to allow local government to play its guiding role efficiently. Lastly, the results indicated that digital technology can help reduce the participation cost of local government, project enterprises and farmers, and improve the external reputation benefits of each participant, thus forming a win-win situation for all three participants. Analyzing the cooperation strategies of the three parties in AWC PPP projects provides theoretical support and a decision-making basis for the efficient operation of AWC PPP projects under the digital background, and also provides practical policy recommendations for the high-quality development of AWC.
摘要：
<jats:p>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.</jats:p>
通讯机构：
[Zhang, W ] H;Hunan Agr Univ, Sch Econ, Changsha, Peoples R China.
关键词：
High standard farmland construction;Spatial and temporal variation;Convergence;China
摘要：
To assess the efficiency of high-standard farmland construction (HSFC), this study utilized data spanning from 1998 to 2020 obtained from 30 provinces, autonomous regions, and municipalities in China. This assessment was conducted using a three-stage super-efficient slack-based measure data envelopment analysis(SBM-DEA)model. Furthermore, we investigated the spatial and temporal variances and convergence of HSFC efficiency using the Dagum Gini coefficient and convergence analysis. The results firstly show that from 2007 to 2020, China's HSFC efficiency displayed fluctuations and declines, significantly influenced by environmental and stochastic factors. Secondly, it showed that the gap in China's HSFC efficiency has widened, with super-variable density being demonstrated as the primary source of spatial imbalance in HSFC efficiency. Thirdly, it showed that the deviation in the efficiency of HSFC in the central region of China from the average level has shown a gradually declining trend, while the deviation in the efficiency of HSFC in the national, western, eastern, and northeastern regions has not presented a downward trend. Fourthly, it demonstrated that over time, the efficiency of building high-standard agriculture throughout the nation and its four main areas will converge to the same level.
