產(chǎn)業(yè)視角下的綜合要素生產(chǎn)率關聯(lián)測算
[Abstract]:As an important part of modern economic growth theory, comprehensive factor productivity (MFP) is an important tool to analyze the source of economic growth. Since Ding Bogan and Solo made a groundbreaking study on comprehensive factor productivity, many scholars at home and abroad have carried out in-depth research on this, and put forward many theories and methods to measure comprehensive factor productivity. But each method is not perfect. So far, the problem of how to calculate the comprehensive factor productivity scientifically and reasonably has not been well solved in our country for a long time. The purpose of this paper is to study the methods that can truly reflect the productivity status of various regions in China from the actual situation of our country, and to apply the Tornqvist MFP index method to all regions of our country. The comprehensive factor productivity of each industry is calculated and analyzed from the industrial level to the total level. Generally speaking, the research of this paper focuses on putting forward new viewpoints, introducing new methods and new data, and studying the problems from a new point of view. This paper first introduces the significance and background of productivity research, as well as the research status at home and abroad. It is found that most domestic scholars are only indirectly using residual method to measure the productivity rate or productivity contribution rate of a single industry or region. And in the choice of measurement methods are arbitrary, resulting in no comparability of the results. Secondly, on the basis of introducing the related concepts of productivity, this paper mainly analyzes the differences and relations between comprehensive factor productivity and technological progress, and introduces the main methods of measuring productivity, and analyzes its advantages and disadvantages. Then, the Tornqvist MFP index method, which will be used in this paper, is introduced in detail, and the advantages of this method are analyzed. At the same time, the selection of factor input variables involved in the calculation process is introduced, and it is found that the selection of factor input is a very complex process, which requires unified standards or criteria. But the domestic related research does not give the explanation in this respect. Thirdly, on the basis of putting forward the selection criterion of factor input, this paper makes use of the data of the first and second national economic censuses, and based on the Tornqvist MFP index, makes use of the data of the first and second national economic censuses for all regions of our country. The comprehensive factor productivity of each industry is calculated from the industrial level to the total level. The calculation process is as follows: firstly, the comprehensive factor productivity of 95 major industries of the national economy is calculated, and secondly, the comprehensive factor productivity of 20 categories of industries is generated by the corresponding large industries. Then the comprehensive factor productivity of the industry is generated through the corresponding industry, and finally the comprehensive factor productivity of each region is generated. Finally, according to the calculation results, this paper verifies the rationality and advantages of using Tornqvist MFP index to measure comprehensive factor productivity. This paper makes a ranking analysis of the estimated categories of industries, categories, industries and total comprehensive factor productivity in each region from 2006 to 2011. Taking the central region as an example, this paper explains the reasons for the high or low comprehensive factor productivity in each region by exploring the contribution of industrial comprehensive factor productivity to the total comprehensive factor productivity, and points out the direction for improving the regional comprehensive factor productivity.
【學位授予單位】:山西財經(jīng)大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:F124;F224
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