基于DEA-Malmquist指数的河北省耕地利用效率及其影响因素研究

doi:10.13866/j.azr.2021.04.28

Abstract

Abstract:

The improvement of arable land use efficiency is of great significance to ensure food security in the main grain production areas, given the rapid non-agriculturalization of arable land brought on by urbanization. This study used the DEA model, the Malmquist index, and the GWR model to analyze the temporal and spatial characteristics, dynamics, and influencing factors of the cultivated land use efficiency in Hebei Province, China from 2000 to 2015 at the county scale. The results showed the comprehensive efficiency, pure technical efficiency, and scale efficiency of arable land use was maintained at a relatively high level of 0.8-1. The comprehensive efficiency of arable land use first decreased from 0.9 to 0.8 by 2003, then had a volatility increase to reach 1 in 2015. From a spatial point of view, the overall efficiency of cultivated land utilization between regions changed significantly, and the regional homogeneity increased. In regards to dynamic changes, the total factor productivity index of arable land use fluctuated from 1.03 to 1.18. The comprehensive improvement of arable land use was mainly distributed in the northern part of the province, whereas the improvement of technological progress was distributed in central and southern Hebei, and the improvement of technological change only existed in the Hengshui City district, and the comprehensive descending type was scattered in the central and southern regions. From the perspective of influencing factors, the comprehensive efficiency of arable land under a certain probability level was positively correlated with the proportion of agricultural output value and the multiple crop index, and was negatively correlated with the elevation, slope, proportion of agricultural population, and proportion of non-grain crops. Among them, elevation, slope, the multiple cropping index, and the proportion of agricultural population had little influence. The proportion of agricultural output value and the proportion of non-grain were more obvious, with the proportion of non-grain having the most significant influence with a correlation coefficient of -0.520249. Based on these results, suggestions are given to improve the arable land use efficiency.

Key words: cultivated land use efficiency, DEA-Malmquist, spatiotemporal pattern, influencing factors, Hebei Province

ZHAO Qianshi,PAN Peipei,WANG Xiaoxu,WANG Xueran,WANG Xiaomeng,LI Ning,WANG Xinyun. A study of cultivated land utilization efficiency and its influencing factors in Hebei Province based on DEA-Malmquist index[J].Arid Zone Research, 2021, 38(4): 1162-1171.

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References 27

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名称	技术变化指数(Effch)	技术进步指数(Techch)	全要素生产率指数(Tfpech)
综合提高型	>1	>1	>1
技术进步提高型	≤1	>1	>1
技术变化提高型	>1	≤1	>1
综合下降型	-	-	≤1

影响因子	最小值	上四分位值	中位数	下四分位值	最大值	平均数	标准差
高程	-0.000078	-0.000038	-0.00001	0.000049	0.000117	0.000006	0.000053
坡度	-0.002776	-0.001159	-0.00329	0.000347	0.001079	-0.000508	0.001012
农业人口占比	-0.197040	-0.089225	-0.064907	-0.03058	0.034840	-0.059553	0.043180
农业产值占比	-0.128603	0.139115	0.193860	0.262672	0.429362	0.201939	0.091901
复种指数	0.001081	0.002264	0.002937	0.003626	0.003984	0.002714	0.000804
非粮占比	-0.571803	-0.487234	-0.520249	-0.547638	-0.345963	-0.508701	0.047439

A study of cultivated land utilization efficiency and its influencing factors in Hebei Province based on DEA-Malmquist index

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