基于三阶段DEA-Malmquist指数的云南省工业生产效率研究
发布时间：2018-08-18 09:28
【摘要】：工业是经济发展的基石,如何提高工业生产效率长期以来一直是工业经济研究的热点问题。2015年云南省工业总产值较1978年增加了184.46倍,但不可忽略的是云南省工业发展仍然存在着技术效率低、地区差异明显、产业结构失衡、单位能耗高等现实性问题。十三五规划提出加快云南省产业由低端化向中高端化的转变,着力调整产业结构,促进传统产业新型化、新型产业规模化。可以看出,无论是现实性还是政策性,提高云南省工业生产效率势在必行。本文选用三阶段DEA-Malmquist指数法对2010-2014年云南省工业生产效率进行测算,并深入分析各州市工业生产效率差异的原因。在内容上:(1)对工业生产效率的国内外相关文献进行梳理,通过对文献梳理了解研究工业生产效率的理论与方法;(2)对工业技术效率的概念进行界定,阐述工业生产相关理论,同时对影响工业生产效率的因素进行分析;(3)对云南省工业经济的发展现状进行分析找出当前云南工业经济存在的问题;(4)构建云南省工业生产效率评价体系;(5)利用三阶段DEA-Malmquist指数对2010-2014年云南省工业生产效率进行测算分析;(6)根据实证结果得出结论,提出相关政策建议。通过本文研究可以得到以下结论:(1)工业核心区、工业边远区技术效率非DEA有效的主要原因在于规模效率非DEA有效,而工业边缘区技术效率非DEA有效在于纯技术效率非DEA有效。(2)以环境变量作为解释变量,投入冗余值作为被解释变量进行SFA回归分析,结果表明:人均GDP、人均居民消费、各地区进出口额/各地区生产总值与投入冗余值之间相关系数均为负,单位GDP能耗、财政支出占GDP比重对投入冗余值的影响可正可负。(3)利用Spearman等级检验后发现,与第一阶段DEA分析结果相比,第三阶段结果相关性更强,显著性更高。(4)以规模效率0.9、纯技术效率0.9为尺度,将云南省各州市工业分为双高型、高低型、低高型、双低型四类,结果表明规模效率低是造成云南省工业技术效率低的主要原因。(5)对第三阶段投入与产出变量进行Malmquist指数分析后发现,相对于技术效率,技术进步对云南省工业影响更大。
[Abstract]:Industry is the cornerstone of economic development. How to improve the efficiency of industrial production has long been a hot topic in industrial economic research. In 2015, the total industrial output value of Yunnan Province increased 184.46 times compared with 1978. However, it can not be ignored that there are still some practical problems in the industrial development of Yunnan Province, such as low technical efficiency, obvious regional differences, unbalanced industrial structure and high energy consumption per unit. The 13th Five-Year Plan proposed to accelerate the transformation of Yunnan industry from low end to middle and high end, to adjust the industrial structure, to promote the new type of traditional industry, and to promote the scale of new industry. It can be seen that it is imperative to improve the efficiency of industrial production in Yunnan Province, regardless of reality or policy. In this paper, the three-stage DEA-Malmquist index method is used to measure the industrial production efficiency of Yunnan Province from 2010 to 2014, and the reasons for the differences in industrial production efficiency between different cities are analyzed in depth. The contents are as follows: (1) combing the domestic and foreign literature on industrial production efficiency, understanding the theories and methods of industrial production efficiency through literature combing; (2) defining the concept of industrial technological efficiency, expounding the relevant theories of industrial production, At the same time, the factors affecting the efficiency of industrial production are analyzed; (3) the current situation of industrial economy in Yunnan Province is analyzed to find out the problems existing in the current industrial economy of Yunnan Province; (4) the evaluation system of industrial production efficiency in Yunnan Province is constructed; (5) the evaluation system of industrial production efficiency in Yunnan Province is established; The three-stage DEA-Malmquist index is used to measure and analyze the industrial production efficiency of Yunnan Province from 2010 to 2014. (6) based on the empirical results, the author draws a conclusion. Put forward relevant policy recommendations. Through the research of this paper, we can get the following conclusions: (1) the main reason for the non-DEA efficiency of industrial core area and industrial remote area is that the scale efficiency is not DEA effective. However, the non-DEA efficiency of industrial edge area lies in the pure technical efficiency non-DEA efficiency. (2) the environmental variable is taken as the explanatory variable, the redundant value is input as the explained variable, and the SFA regression analysis is carried out. The results show that: per capita DEA, per capita consumption, The correlation coefficient between the import and export value of each region and the input redundancy value is negative. The effect of unit GDP energy consumption and the proportion of financial expenditure to GDP on the input redundancy value can be positively negative. (3) after using the Spearman grade test, it is found that, Compared with the results of DEA analysis in the first stage, the results of the third stage are more relevant and significant. (4) based on the scale efficiency 0.9 and the pure technical efficiency 0.9, the industries in Yunnan Province are divided into four types: double high type, low high type, double low type. The results show that the low scale efficiency is the main reason for the low efficiency of industrial technology in Yunnan Province. (5) by the Malmquist index analysis of the input and output variables in the third stage, it is found that the technological progress has a greater impact on the industrial efficiency of Yunnan Province than the technical efficiency.
【学位授予单位】：云南财经大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F224;F427
[Abstract]:Industry is the cornerstone of economic development. How to improve the efficiency of industrial production has long been a hot topic in industrial economic research. In 2015, the total industrial output value of Yunnan Province increased 184.46 times compared with 1978. However, it can not be ignored that there are still some practical problems in the industrial development of Yunnan Province, such as low technical efficiency, obvious regional differences, unbalanced industrial structure and high energy consumption per unit. The 13th Five-Year Plan proposed to accelerate the transformation of Yunnan industry from low end to middle and high end, to adjust the industrial structure, to promote the new type of traditional industry, and to promote the scale of new industry. It can be seen that it is imperative to improve the efficiency of industrial production in Yunnan Province, regardless of reality or policy. In this paper, the three-stage DEA-Malmquist index method is used to measure the industrial production efficiency of Yunnan Province from 2010 to 2014, and the reasons for the differences in industrial production efficiency between different cities are analyzed in depth. The contents are as follows: (1) combing the domestic and foreign literature on industrial production efficiency, understanding the theories and methods of industrial production efficiency through literature combing; (2) defining the concept of industrial technological efficiency, expounding the relevant theories of industrial production, At the same time, the factors affecting the efficiency of industrial production are analyzed; (3) the current situation of industrial economy in Yunnan Province is analyzed to find out the problems existing in the current industrial economy of Yunnan Province; (4) the evaluation system of industrial production efficiency in Yunnan Province is constructed; (5) the evaluation system of industrial production efficiency in Yunnan Province is established; The three-stage DEA-Malmquist index is used to measure and analyze the industrial production efficiency of Yunnan Province from 2010 to 2014. (6) based on the empirical results, the author draws a conclusion. Put forward relevant policy recommendations. Through the research of this paper, we can get the following conclusions: (1) the main reason for the non-DEA efficiency of industrial core area and industrial remote area is that the scale efficiency is not DEA effective. However, the non-DEA efficiency of industrial edge area lies in the pure technical efficiency non-DEA efficiency. (2) the environmental variable is taken as the explanatory variable, the redundant value is input as the explained variable, and the SFA regression analysis is carried out. The results show that: per capita DEA, per capita consumption, The correlation coefficient between the import and export value of each region and the input redundancy value is negative. The effect of unit GDP energy consumption and the proportion of financial expenditure to GDP on the input redundancy value can be positively negative. (3) after using the Spearman grade test, it is found that, Compared with the results of DEA analysis in the first stage, the results of the third stage are more relevant and significant. (4) based on the scale efficiency 0.9 and the pure technical efficiency 0.9, the industries in Yunnan Province are divided into four types: double high type, low high type, double low type. The results show that the low scale efficiency is the main reason for the low efficiency of industrial technology in Yunnan Province. (5) by the Malmquist index analysis of the input and output variables in the third stage, it is found that the technological progress has a greater impact on the industrial efficiency of Yunnan Province than the technical efficiency.
【学位授予单位】：云南财经大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F224;F427
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