摘要
基于云南省40个生态脆弱县的全样本数据,运用DEA-BCC模型、Moran’s I指数、地理加权回归模型探究云南省生态脆弱县经济效率的空间属性和影响因素,为提升区域抵御内外部风险能力,稳定脱贫成效,加快乡村振兴步伐,步入高质量发展之列服务。研究结果表明:(1)云南省40个生态脆弱县的平均经济效率处于中上水平,其中乌蒙山区和滇西边境山区的经济效率较低。(2)云南省生态脆弱县经济效率的空间集聚性弱,近似随机分布,且生态脆弱县主要分布在云南省边缘地带。(3)县域经济效率主要受到务工人口数占比、村集体收入、人均耕地面积等的影响,尽管不同区域的主导因素有所区别,但经济发展总体处于“U”型关系的前端,县域规模效益还未彰显。由此建议通过进一步提高帮扶投入精准度,加强普通教育、职业教育和技能培训,壮大集体经济,推进县域经济效率的提升。
Based on the full sample data of 40 eco-environment vulnerable counties in Yunnan Province,DEA-BCC,Moran's I index and geographical weighted regression model are used to explore the spatial attributes and influencing factors of the economic efficiency of eco-environment vulnerable counties in Yunnan Province in order to serve the improvement of the region's ability to withstand internal and external risks,the stability of poverty alleviation,the acceleration of rural revitalization,and the entry of high-quality development as soon as possible.The results show that:(1)The average economic efficiency of 40 eco-environment vulnerable counties in Yunnan Province is in the upper middle level,among which the economic efficiency of Wumeng Mountain Area and the border mountain area in western Yunnan is low.(2)The spatial agglomeration of the economic efficiency of eco-environment vulnerable counties in Yunnan Province is weak,and the distribution is nearly random,and the eco-environment vulnerable counties are mainly distributed in the edge of Yunnan Province.(3)The economic efficiency of the counties are mainly affected by the proportion of migrant workers,village collective income,per capita cultivated land area,etc.Although the leading influence of different regions is different,the economic development is generally at the front of the"U"type,and the scale benefit of the counties has not been demonstrated.Therefore,it is suggested to further improve the accuracy of assistance input,strengthen general education,vocational education and skills training,and strengthen the collective economy to promote the improvement of county economic efficiency.
作者
张焱
毛珮
冯璐
胡雪枝
ZHANG Yan;MAO Pei;FENG Lu;HU Xuezhi(College of Economics and Management,Yunnan Agricultural University,Kunming Yunnan 650201,China;International Cooperation and Exchange Division,Yunnan Agricultural University,Kunming Yunnan 650201,China;College of Public Administration,Nanjing Audit University,Nanjing Jiangsu 210000,China)
出处
《生态经济》
北大核心
2024年第4期94-104,共11页
Ecological Economy
基金
国家自然科学基金项目“西部边疆民族地区乡村小规模学校发展的时空演化及驱动因素研究”(72164039)
国家自然科学基金项目“农业产业化背景下小农户衔接大市场的决策行为优化:跨境山区农户分化实证”(72263035)
教育部人文社会科学研究项目“空间异质性视角下云南边疆民族地区教育精准扶贫绩效评价研究”(20XJA880007)。
关键词
发展贫困
生态脆弱县
经济效率
数据包络分析
莫兰指数
地理加权回归模型
development poverty
eco-environment vulnerable counties
economic efficiency
data envelopment analysis
Moran's I index
geographical weighted regression model
