摘要
黄河流域是我国重要的生态屏障和重要的经济地带,深入研究农业绿色发展效率时空特征及影响因素对于贯彻落实黄河流域生态保护和高质量发展的国家战略具有较强的现实意义。本研究旨在系统性地分析黄河流域农业绿色发展效率的时空特征及其影响因素,以期为实现生态保护和高质量发展的国家战略提供科学依据和政策建议。本研究从灰水足迹的视角出发,基于黄河流域2000—2020年9省(区)的面板数据,以超效率SBM模型和莫兰指数等方法为基础,对其农业绿色发展效率测度值与空间相关性进行分析,并进一步建立地理加权回归模型(GWR)探究影响因素及其空间异质性。结果表明:黄河流域农业绿色发展效率的整体趋势向好,但在不同地区之间存在显著差异,其在研究期内存在明显的空间负相关,并随时间推移,黄河流域9省(区)总体由分散向低低聚集区域偏移。在6种影响因素中,教育投入、技术进步以及经济发展水平产生正向驱动作用,而地区人口、经济结构以及城镇化水平对发展效率产生负向影响。
The Yellow River Basin is an important ecological protective screen and economic zone in China.In depth research on the spatiotemporal characteristics and influencing factors of agricultural green development efficiency has strong practical significance for implementing the national strategy of ecological protection and high-quality development in the Yellow River Basin.This study aims to systematically analyze the spatiotemporal characteristics and influencing factors of agricultural green development efficiency in the Yellow River Basin,in order to provide scientific basis and policy recommendations for achieving national strategies of ecological protection and high-quality development.This study starts from the perspective of grey water footprint,based on panel data from 9 provinces(regions)in the Yellow River Basin from 2000 to 2020,and uses methods such as super efficiency SBM model and Moran index to analyze the spatial correlation between the measured values of agricultural green development efficiency,and further establishes a Geographically Weighted Regression(GWR)model to explore the influencing factors and their spatial heterogeneity.The results indicate that the overall trend of agricultural green development efficiency in the Yellow River Basin is improving,but there are significant differences between different regions.There is a clear spatial negative correlation during the research period,and over time,the nine provinces in the Yellow River Basin have shifted from dispersed to low concentration areas.Among the six influencing factors,education investment,technological progress,and economic development level have a positive driving effect,while regional population,economic structure,and urbanization level have a negative impact on development efficiency.
作者
褚子昂
张家瑛
那晓红
尤晨馨
CHU Zi-ang;ZHANG Jia-ying;NA Xiao-hong*;YOU Chen-xin(Business School,Hohai University,Changzhou 213022,China)
出处
《环境生态学》
2024年第9期91-99,共9页
Environmental Ecology
关键词
黄河流域
农业绿色发展效率
超效率SBM
莫兰指数
地理加权回归
Yellow River Basin
agricultural green development efficiency
Super-SBM model
Moran's I
geographically weighted regression
