Chen Zhe, Li Xiaojing, Xia Xianli
School of Economics and Management, Northwest A&F University, Yangling, 712100, China.
Environ Sci Pollut Res Int. 2021 Apr;28(16):19694-19709. doi: 10.1007/s11356-020-11953-z. Epub 2021 Jan 6.
Based on the comprehensive evaluation system of agricultural green development index (AGDI), this paper uses entropy weight method and linear weighted sum method to measure the agricultural green development level of 31 provinces in China from 2013 to 2018. We then incorporate spatial correlation into the traditional convergence test model, study the spatial convergence of AGDI, and explore the reasons for regional differences in AGDI. The results show that the level of AGDI in China showed an overall growth trend during the sample survey period, but there were significant differences in the rate of AGDI among different regions, mainly manifested as "eastern > western > central." The AGDI shows a significant positive spatial correlation on the whole, and its overall spatial distribution is characterized by high-high agglomeration and low-low agglomeration. The provinces with higher and lower level of AGDI still maintain the original relatively concentrated distribution in geographical space. On this basis, the study examines the regional differences of AGDI and its evolution by Dagum Gini coefficient decomposition and spatial convergence. The results showed that the overall difference of AGDI showed a fluctuating downward trend. The intra-regional difference of AGDI in the western region was the largest, and that in the eastern region was the smallest. The contribution rate of intensity of transvariation among regions was the main source of the relative difference of AGDI. Meanwhile, the AGDI of the overall, eastern, central, and western regions present significant σ convergence and conditional β convergence. Except for the central region, the overall, eastern, and western regions present significant absolute β convergence. The low-level areas of AGDI have significant "catch-up effect" on the areas with high-level AGDI. Based on the above results, this paper also puts forward some policy suggestions from the perspective of cross-regional collaborative governance to improve China's agricultural green development mode and narrow the regional differences of China's agricultural green development.
基于农业绿色发展指数（AGDI）综合评价体系，本文运用熵权法和线性加权和法测度了2013—2018年中国31个省份的农业绿色发展水平。接着将空间相关性纳入传统收敛检验模型，研究AGDI的空间收敛性，并探究AGDI区域差异的原因。结果表明，样本考察期内中国AGDI水平整体呈增长趋势，但不同区域间AGDI增速存在显著差异，主要表现为“东部＞西部＞中部”。AGDI整体呈现显著的正空间相关性，其总体空间分布呈现高高集聚和低低集聚的特征。AGDI较高和较低水平的省份在地理空间上仍保持原来相对集中的分布。在此基础上，通过达格姆基尼系数分解和空间收敛研究AGDI的区域差异及其演变。结果显示，AGDI总体差异呈波动下降趋势。西部地区AGDI区域内差异最大，东部地区最小。区域间变异强度贡献率是AGDI相对差异的主要来源。同时，全国、东部、中部和西部地区的AGDI均呈现显著的σ收敛和条件β收敛。除中部地区外，全国、东部和西部地区均呈现显著的绝对β收敛。AGDI低水平地区对AGDI高水平地区具有显著的“追赶效应”。基于上述结果，本文还从跨区域协同治理角度提出了一些政策建议，以改善中国农业绿色发展模式，缩小中国农业绿色发展的区域差异。
