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云南省耕地生产效率的时空差异及影响因素
引用本文:丘雯文,杨子生.云南省耕地生产效率的时空差异及影响因素[J].长江流域资源与环境,2016,25(5):786-793.
作者姓名:丘雯文  杨子生
作者单位:云南财经大学国土资源与持续发展研究所, 云南 昆明 650221
基金项目:国家自然科学基金项目(41261018) [National Natural Science Foundation of China (41261018)],云南财经大学研究生创新基金项目(2015YUFEYC006) [Innovation Foundation of Graduate Student in Yunnan University of Finance and Economics (2015YUFEYC006)]
摘    要:以第二次全国土地调查完成以来的2009~2013年为研究时段,在测算云南省16个州(市)的耕地生产效率基础上,综合运用ESDA技术、基尼系数等方法系统分析云南省耕地生产效率的时空差异,并构建计量经济模型研究影响不同区域耕地生产效率变化的主要因素。结果表明:(1)2009~2013年,云南省耕地生产效率呈总体上升趋势,但增幅逐年降低;效率低值地区增长明显,高值地区则并不显著;(2)云南省耕地生产效率区域差异呈缩小态势,并表现出由西南向东北递减的空间分布特征;(3)滇中、滇西南等粮食主产区受≤6°耕地面积比重、旱涝保收面积的影响较大,而滇东地区则更易受到6°坡耕地面积和人均GDP的影响,滇西北地区受≤6°耕地面积比重和人均GDP的影响显著。

关 键 词:耕地生产效率  时空差异  随机前沿生产函数  基尼系数  

SPATIAL dIFFERENCES AND INFLUENCES OF CULTIVATED LAND USE EFFICIENCY IN YUNNAN PROVINCE
QIU Wen-wen,YANG Zi-sheng.SPATIAL dIFFERENCES AND INFLUENCES OF CULTIVATED LAND USE EFFICIENCY IN YUNNAN PROVINCE[J].Resources and Environment in the Yangtza Basin,2016,25(5):786-793.
Authors:QIU Wen-wen  YANG Zi-sheng
Institution:Institute of Land & Resources and Sustainable Development, Yunnan University of Finance and Economics, Kunming 650221, China
Abstract:This study estimated the cultivated land use efficiency of all cities in Yunnan Province by using the stochastic frontier production function, and investigated the spatial pattern and evolutionary trend using the ESDA-related analysis techniques and the Gini coefficient. We analyzed the influencing factors by constructing economic models from 2009 to 2013 after the second land survey. Results showed that:(1) the average cultivated land use efficiency in all cities in Yunnan Province has been increasing annually, but inconspicuously. Low-value areas increased obviously, while high-value areas had no significant rises. (2) The overall difference of cultivated land use efficiency in Yunnan Province was obvious, which basically decreased from southwest to northeast. The diversity of land use efficiency of all cities presented a reasonable rate, and the degree of dispersion and variance among cities had been gradually decreasing. (3) The influences of cultivated land use efficiency were complicated and various. Flat land proportion and secure land areas were greatly influenced at the major grain producing areas in the middle and southwest Yunnan, but the east Yunnan was mainly affected by steep hill areas and GDP per capita. The northwest Yunnan was influenced by combined impacts of flat land proportion and GDP per capita.
Keywords:land use efficiency  spatial differences  stochastic frontier production function  Gini coefficient
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