内蒙古农业全要素生产率的实证研究

发布时间：2018-06-19 15:46

本文选题：农业全要素生产率 + Malmquist指数　；参考：《内蒙古财经大学》2017年硕士论文

【摘要】：我国是以农业为主的发展中国家,内蒙古作为全国粮食主产区之一,为我国的粮食安全作出了突出的贡献,农业的发展也影响着内蒙古经济的发展。近年来,根据国家统计年鉴上的数据,内蒙古农业耕种面积位居全国第二,粮食总产量位居第十。本文拟对内蒙古农业的发展进行实证研究,以探究其内在的因素,为对策提供参考。本文主要结构安排如下:本文的第一部分,为第一章绪论和第二章理论基础。主要介绍了一些与本文写作相关的概念,并对国内外相关学者的研究进行了梳理和分析,对全要素生产率的概念进行了介绍,并介绍了影响全要素生产率的具体因素,最后介绍了三种测算全要素生产率的方法,即索洛余值法、数据包络分析法和随机前沿分析法,本文所选取的方法主要为基于数据包络分析的指数方法。接下来的部分,即第三章和第四章,首先收集了内蒙古2001年—2015年间的各项数据,首先从时空和空间上分别对内蒙古农业全要素生产率进行了测算,并对全要素生产率的测算结果进行分解测算,最终的结果整理成表格的形式。其次,通过收敛性分析对所得结果进行时空和空间的对比分析,具体展开分析了各盟市农业全要素的变化规律。最后,测算的结果进行更深一步的研究,通过实证研究来得出影响内蒙古农业发展的具体影响因素,并具体测算了每项指标对全要素生产率的影响是多少、是正是负,拟为后文提出对策作参考。最后一部分为本文的结论与对策建议。本文得出的基本结论是:内蒙古全要素生产率在15年中一直保持上升趋势,近几年开始有平缓发展迹象,内蒙古各地技术发展趋于相同态势,说明各地技术差异在缩小,技术进步的提高是带动内蒙古农业经济发展的动力,但是技术效率并没有带来规模效率的提升,这也是制约内蒙古农业发展的问题所在。本文最后针对于实证研究得出的这一结论提出对策建议,希望针对规模效率提出一些切实可行的建议。
[Abstract]:China is a developing country based on agriculture. As one of the main grain producing areas in China, Inner Mongolia has made outstanding contribution to the grain security of our country. The development of agriculture also affects the development of Inner Mongolia's economy. In recent years, according to the data on the National Statistical Yearbook, the agricultural cultivation area in Inner Mongolia ranks second in the country and the total grain output position. Tenth. This article intends to carry out an empirical study on the development of agriculture in Inner Mongolia in order to explore the internal factors and provide reference for the countermeasures. The main structure of this paper is as follows: the first part of this article is the first chapter and the theoretical basis of the second chapter. It mainly introduces some concepts related to the writing of this article, and studies the relevant scholars at home and abroad. The concept of total factor productivity (TFP) is introduced and the specific factors affecting the total factor productivity are introduced. At last, three methods to calculate the total factor productivity are introduced, which are Solow residual method, data envelopment analysis and stochastic frontier analysis. The main methods selected in this paper are data envelopment based on data envelopment. The following part, the third chapter and the fourth chapter, first collects the data of Inner Mongolia from 2001 to 2015, first calculates the total factor productivity of Inner Mongolia agriculture from time and space and space, and calculates the results of the total factor productivity calculation, and the final result is formed into a table. Secondly, through the convergence analysis of the results of the results of the comparison and analysis of space and space, the detailed analysis of the changes in the whole factors of agricultural elements in each city. Finally, the results of a further study, through empirical research to affect the specific factors affecting the development of agricultural development in Inner Mongolia, and calculate each of the specific factors. The final part is the conclusion and Countermeasures of this article. The basic conclusion of this article is that the total factor productivity of Inner Mongolia has maintained a rising trend in 15 years, and there has been a gentle development in recent years, and the technology of Inner Mongolia has been developed in all parts of Inner Mongolia. The exhibition tends to the same situation, indicating that the technical differences are narrowing and the improvement of technology is the driving force to promote the development of agricultural economy in Inner Mongolia, but the technical efficiency does not bring about the promotion of scale efficiency. This is also the problem that restricts the development of agricultural development in Inner Mongolia. I hope to put forward some practical suggestions for scale efficiency.
【学位授予单位】：内蒙古财经大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F224;F327

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