华南农业大学学报2024，Vol.45Issue(6)：975-981,7.DOI:10.7671/j.issn.1001-411X.202407004
广东省农业全要素生产率及影响因素研究
Agricultural total factor productivity and influencing factors in Guangdong Province:Based on triple perspectives of carbon source,carbon sink and surface pollution
摘要
Abstract
[Objective]Based on the triple perspectives of carbon source,carbon sink and non-point source pollution in the process of agricultural production,to measure the agricultural total factor productivity of Guangdong Province,scientifically grasp the basis of high-quality development of agriculture in Guangdong Province,and promote rural revitalization.[Method]The DEA-Malmquist model was used to effectively measure agricultural total factor productivity in Guangdong Province from 2006 to 2021 and analyze its spatio-temporal differences,meanwhile the panel regression model was used to explore the influencing factors.[Result]From 2006 to 2021,the agricultural total factor productivity of Guangdong Province was in an overall growth trend,with an average annual growth rate of 1.7%,although there were some inter-year fluctuations.The difference of agricultural total factor productivity in 21 prefecture-level cities in Guangdong Province was obvious,among which the highest was 1.070 in Zhuhai and the lowest was only 0.988 in Chaozhou.The region difference was presented in"Pearl River Delta region>Western Guangdong region>East Guangdong region>Northern Guangdong mountainous region"pattern.Technological progress was the key to the growth of agricultural total factor productivity in Guangdong Province.The urbanization level and agricultural industrial structure were the main factors affecting the agricultural total factor productivity in Guangdong Province.[Conclusion]In order to improve the agricultural total factor productivity in Guangdong Province,it is suggested to increase the investment in agricultural science and technology,strengthen the popularization and application of green agricultural science and technology,optimize the financial support mechanism,vigorously cultivate and develop efficient three-dimensional ecological agriculture,and take the road of green agricultural development.关键词
农业全要素生产率/DEA-Malmquist模型/面板回归模型/广东省Key words
Agricultural total factor productivity/DEA-Malmquist model/Panel regression model/Guangdong Province分类
管理科学引用本文复制引用
杨林,李航飞..广东省农业全要素生产率及影响因素研究[J].华南农业大学学报,2024,45(6):975-981,7.基金项目
国家自然科学基金(41771136) （41771136）
广东省哲学社会科学规划(GD22CYJ26) （GD22CYJ26）
韶关市科技计划(200811154532282) （200811154532282）
