中国农村绿色发展绩效评估与影响因素研究

发布时间：2018-05-31 09:06

本文选题：农村 + 绿色发展绩效　；参考：《湖南大学》2016年硕士论文

【摘要】：改革开放以来,我国经济发展水平迅速提升,经济总量在世界各国中位居前列。但是,环境污染问题也日益严重,城市严重雾霾、农村垃圾露天堆放、土地资源的不合理利用等现象屡见不鲜,不仅影响居民的生活,也影响我国经济的可持续发展。本文试图评估我国农村地区绿色发展绩效,并从理论和实证的角度分析影响我国农村地区绿色发展绩效的因素,为提高我国农村地区绿色发展绩效,从而提高全国整体绿色发展绩效提供理论依据。本文旨在对我国各地区农村绿色发展绩效差异进行分析,并在此基础上,对我国农村地区绿色发展绩效的不同影响因素进行较为深入的研究。首先对现有文献进行梳理,对绿色发展的内涵与意义进行系统的总结和分析,并对影响绿色发展的因素进行归类分析。其次,基于索洛模型,结合中国农村经济发展的实际情况,构建理论模型分析不同因素对我国农村地区绿色发展绩效的影响机制。接着,采用2003-2012年中国31个省、直辖市和自治区农村数据,运用多种DEA模型与Gini准则相结合的方法,对中国及其各地区农村绿色发展绩效值进行了动态测算与分析,在此基础上,对各省市及其所属地区农村绿色发展绩效值进行排名和分析,结果表明,从全国整体来看,中国农村绿色发展绩效整体上呈现上升趋势；从分区域来看,农村绿色发展绩效存在地区差异,绿色发展绩效较高地区是东北,西北次之,华北、华东和中南地区绩效值相对偏低；进一步地,各省、直辖市和自治区农村绿色发展绩效逐年呈现上升趋势,但从地区内部来看,部分地区的省市农村绿色发展绩效值偏低,甚至低于该省市所在地区的平均绩效值,不仅表明该省市农村绿色发展绩效较低,而且表明了该省市农村绿色发展绩效制约着其所在地区农村整体绿色发展绩效的提升。再次,采用2003-2012年中国31个省、直辖市和自治区农村数据,通过构建空间面板数据模型,考察了不同的因素对我国农村地区绿色发展绩效的影响。实证结果显示：城市化水平、产业结构、城乡收入差距、农产品价格变量对我国农村地区绿色发展绩效起到阻碍作用：而农村经济贡献值越大,越有利于周边农村绿色发展绩效。最后,基于理论分析和实证分析结果,结合我国当前绿色发展绩效基本状况,就如何提高我国农村地区绿色发展绩效提出了相应的政策建议。
[Abstract]:Since the reform and opening up, the level of economic development in China has rapidly improved, and the total economic volume ranks among the leading countries in the world. However, the problem of environmental pollution is becoming more and more serious, the urban haze is serious, the rural garbage is stored in the open air, and the unreasonable utilization of land resources is common, which not only affects the life of the residents, but also affects the sustainable development of our country's economy. This paper attempts to evaluate the performance of green development in rural areas of China, and analyzes the factors that affect the performance of green development in rural areas from the theoretical and empirical points of view, in order to improve the performance of green development in rural areas of China. So as to improve the overall performance of the national green development to provide the theoretical basis. The purpose of this paper is to analyze the differences in the performance of rural green development in China, and on this basis, to study the different influencing factors of the performance of green development in rural areas of China. Firstly, the existing literature is combed, the connotation and significance of green development are summarized and analyzed systematically, and the factors affecting green development are classified and analyzed. Secondly, based on Solow model and the actual situation of rural economic development in China, a theoretical model is constructed to analyze the influence mechanism of different factors on the performance of green development in rural areas of China. Then, using the rural data of 31 provinces, municipalities and autonomous regions in China from 2003 to 2012, using the method of combining various DEA models with Gini criterion, the paper calculates and analyzes the rural green development performance of China and its regions dynamically. Ranking and analyzing the performance value of rural green development in provinces, cities and regions, the results show that the performance of rural green development in China as a whole is on the rise; from the subregional point of view, There are regional differences in the performance of green development in rural areas. The higher the performance of green development is in the Northeast, the second in the Northwest, the lower in North, East and South China. The performance of rural green development in municipalities and autonomous regions has been increasing year by year, but in some regions, the performance of rural green development is low, or even lower than the average performance of the provinces and municipalities. It not only shows that the performance of green development in rural areas is low, but also shows that the performance of green development in rural areas restricts the improvement of the overall performance of green development in rural areas. Thirdly, using the rural data of 31 provinces, municipalities and autonomous regions in China from 2003 to 2012, the paper studies the influence of different factors on the performance of green development in rural areas through the construction of spatial panel data model. The empirical results show that: urbanization level, industrial structure, urban-rural income gap, agricultural product price variables play a hindrance to the performance of green development in rural areas of China. More conducive to the surrounding rural green development performance. Finally, based on the results of theoretical analysis and empirical analysis, combined with the current situation of green development performance in China, this paper puts forward corresponding policy recommendations on how to improve the performance of green development in rural areas of China.
【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F323.22

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