农业
面板数据
可持续发展
中国
农业生产力
业务
政府(语言学)
工业化
农业机械
绿色发展
环境经济学
自然资源经济学
农业经济学
环境资源管理
经济
地理
计量经济学
政治学
法学
考古
哲学
语言学
市场经济
作者
Xueyao Zhang,Hong Chen
出处
期刊:Sustainability
[Multidisciplinary Digital Publishing Institute]
日期:2021-01-22
卷期号:13 (3): 1147-1147
被引量:19
摘要
This study was conducted to promote the construction of China’s ecological civilization; to reduce harm to the environment; to quantify the performance of agricultural green development (GD); and to truly achieve green, sustainable, and healthy agricultural development. From the perspectives of resources and the environment, first, information communication technology and the panel space measurement (PSM) model were adopted to analyze relevant indicator data from 2000 to 2019 in China’s 30 provinces. Second, China’s agriculture was measured to explore the overall characteristics, temporal changes, and regional differences of agricultural development. A panel data measurement model was constructed using the generalized least squares method, and the main factors affecting performance development were analyzed, which were verified by giving examples. Third, the governance countermeasures and improvement directors were proposed for agricultural GD in China. It is found that the driving force of performance of agricultural GD in China mainly depends on technological progress and that technological efficiency determines the speed of agricultural development. The regional differences in performance of agricultural GD are obvious in China. The growth in the performance of agricultural GD in the eastern region is much higher than that of the central, western, and northeast regions. In addition, the results show that the performance of agricultural GD is extremely positively correlated with the agricultural economic level, fiscal support for agriculture policy, and the industrialization process and that it is extremely negatively correlated with the level of opening-up, adjustment of agricultural structure, and the environmental regulatory capability of the government. As a result, this study can provide some ideas for the realization of agriculture GD in China.
科研通智能强力驱动
Strongly Powered by AbleSci AI