通讯机构：
[Liu, H ] H;Hunan Agr Univ, Econ Coll, Changsha, Peoples R China.
关键词：
DEES;coupling coordination degree;kernel density estimation;spatial autocorrelation;obstacle factors
摘要：
Coordinating the development of the economy and environment has always been a tough challenge. The digital village construction in China offers unprecedented historical opportunities for rural areas to propel coordinated development and catch up with their urban counterparts. This paper used a coupling coordination degree model, exploratory spatial data analysis, and an obstacle degree model to investigate the coupling coordination of digital village construction, economic growth, and the environmental protection system (DEES) in rural China from 2015 to 2021. The results indicate: (1) The coupling coordination degree of DEES increases annually, yet a significant spatial imbalance among regions persists. (2) There is a positive spatial correlation in the coupling coordination of DEES, with the clustering trend gradually strengthening and subsequently weakening. (3) The most consistent obstacles are economic growth and per capita income, while obstacle factors vary among provinces. The results suggest that governments should increase investment in rural digital infrastructure, promote the synergistic efforts of the digital economy and green development, and drive the digitization of rural areas. Meanwhile, each province should use its own resources effectively, to make up for any shortcomings, thereby promoting coupling coordinated development in rural areas.
关键词：
digital economy;carbon emissions;coupling coordination degree model;PVAR model
摘要：
The development of the digital economy has injected new vitality into the global economy, but the environmental issues it raises cannot be ignored. This paper analyzes the impact of the digital economy on carbon emission levels and their coupling relationships using panel data from 30 provinces, cities, and autonomous regions in mainland China from 2013 to 2021. By employing the coupling coordination degree model and the PVAR model, the study finds that the digital economy in mainland China has shown an upward trend, while carbon emission levels have exhibited a downward trend. The coupling degree between the digital economy and carbon emission levels is relatively good, though the coupling coordination degree is still in its early stages, indicating significant room for development. The digital economy has achieved a positive cumulative effect and can promote itself, and it has a significant negative impact on carbon emission levels.
通讯机构：
[Long, F ] H;Hunan Agr Univ, Coll Econ, Changsha 410128, Peoples R China.;1 Nongda Rd, Changsha, Hunan, Peoples R China.
关键词：
Grain industrial agglomeration;Grain green total factor productivity;Agricultural green development;Dynamic spatial durbin model;Sustainability;Spillover effect;Carbon emissions
摘要：
Appropriate industrial agglomeration has several benefits, including reducing environmental pollution, promoting innovation and enhancing grain green total factor productivity (GTFP). It is an effective strategy for promoting high-quality and sustainable development in the grain industry. In this study, the slacks-based measure of the global Malmquist-Luenberger (SBM-GML) model is used to estimate China's grain GTFP using the panel data of 31 provinces from 2001 to 2020. Furthermore, a dynamic spatial econometric model is employed to empirically investigate the impact of grain industry agglomeration on grain GTFP and its regional heterogeneity. The results show that GTFP exhibits a fluctuating growth tendency, with advancements in green technology serving as the primary engine of that expansion. (2) The deepening of grain industrial agglomeration has a long-term promoting effect on the grain GTFP of local and neighbouring areas, with the long-term effect being more significant than the short-term effect, as revealed by the dynamic spatial Durbin model. (3) According to the heterogeneity analysis, industrial agglomeration's impact on grain GTFP is most noticeable in the production and sales balance. Therefore, encouraging regional cooperation and communication while raising the grain industrial agglomeration standard is crucial. The degree of regional economic growth, the state of the agricultural infrastructure and the conditions of the natural resources should all be considered by policymakers when developing distinct and focused policy assistance for each region.
