Based on the county-level agricultural panel data of Hunan Province in 2008-2018 and using the methods of super efficiency SBM,panel Tobit regression model and spatial correlation analysis,this paper makes an empirical study on the spatial heterogeneity of agricultural eco-efficiency and its determinants. The results show that: 1) During the study period,the agricultural eco-efficiency shows an upward trend in fluctuation,and the overall efficiency is at the medium level. The spatial variation trend shows a decreasing trend from the west of Hunan to the east of Hunan and from the south of Hunan to the north of Hunan,the difference between those in the north and the south is greater than those in the east and the west. 2) From the perspective of global autocorrelation,the agricultural eco-efficiency of counties (districts) in Hunan Province shows positive correlation characteristics and fluctuating spatial agglomeration except in 2009-2010 and 2015-2017. From the perspective of local spatial differentiation,the number of regions with positive spatial correlation decreases year by year during the study period,and the agglomeration of regional agricultural eco-efficiency shows a decreasing trend. High-high(HH) agglomeration of agricultural ecol-efficiency is mainly distributed in the north and part of the east of Hunan Province,and has an obvious trend of spatial diffusion to adjacent areas. Low-low (LL) agglomeration is mainly distributed in the south and west of Hunan Province. 3) There are obvious differences in the influencing factors of agricultural eco-efficiency at different scales. Among them,farmers' disposable income and population have an positive impact on agricultural eco-efficiency. Natural disaster has negative effects on agricultural eco-efficiency, GDP and urbanization rate have uncertainty on agricultural ecological impact at different scales.
ZHANG Zhan, LIAO Xiaoping, LI Chunhua, YANG Can, YANG Shasha, LI Yihan
. Spatio-temporal Characteristics of Agricultural Eco-efficiency and Its Determinants in Hunan Province[J]. Economic geography, 2022
, 42(2)
: 181
-189
.
DOI: 10.15957/j.cnki.jjdl.2022.02.020
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