我国全要素生产率的估计问题研究方法及影响因素分析

发布时间：2018-01-07 07:33

本文关键词：我国全要素生产率的估计问题研究方法及影响因素分析　出处：《厦门大学》2014年硕士论文　论文类型：学位论文

【摘要】：经济增长关系到国家长期的稳定发展以及社会福利的增加,因此这是每个国家非常重视和关心的话题。几个世纪以来,经济学家们也对这个问题进行了深入的探索。生产函数研究的兴起,以及全要素生产率的出现使人们开始讨论经济增长的动力或是影响因素有哪些。经过了几十年市场经济体制,我国的经济迅速发展,并且年均GDP增长率始终保持在7%以上。但是随着经济全球化的加深,竞争日益激烈的国际市场暴露出我国很多经济发展问题,因此讨论生产率的估计过程和影响因素,对了解生产率如何发展以及怎样调整发展政策都具有十分重要的意义。由于现阶段学术界存在不同的测算生产率的方法,因此会得到不同的测算结果。为了使生产率的测算趋于准确,本文在OP和LP估计方法基础上进行扩展优化,并检验不同方法的准确性；同时,本文关注企业的出口,研发以及融资约束等一些因素对企业生产率的影响。以便未来能从具体的方面深入讨论如何提高我国工业企业的生产率水平。本文首先对国外主要的全要素生产率模型进行整理,在引入出口,研发以及融资约束对中间投入要素影响的显著性检验后,构建关于影响因素的生存概率函数,并将生存概率函数与扩展了自变量的中间投入要素函数放入OP和LP方法中进行全要素生产率的估计。然后将估算出的全要素生产率作为因变量,出口,研发以及融资约束作为自变量建立回归模型,并运用广义矩估计(GMM)的方法对影响因素进行分地区的影响显著性研究。测算结果表明优化后的估计方法更好的包括了生产率的相关信息也更好的避免了选择性偏误,并且扩展后的LP方法型比OP方法更好地克服了内生性问题。在第二步的验证中,优化的OP和LP方法均显示出口、研发以及融资约束对生产率的提高有明显的促进作用。但当分地区进行影响因素回归时,研发和出口显示出地区效应。
[Abstract]:The relationship between economic growth and national long-term stable development and increase social welfare, so it is very important for each country and concerned about the topic. For centuries, economists have also conducted in-depth research on this issue. The rise of production function research, and will appear in productivity so that people began to discuss the power of economic growth or what factors affect the market economy. After several decades, China's rapid economic development, and the average annual GDP growth rate has remained above 7%. But with the deepening of economic globalization, the increasingly fierce competition in the international market has exposed many problems in the economic development of our country, so the estimation process and discuss the factors influencing productivity to understand, are of great significance to the development of productivity and how to adjust the development policy.
The methods of current academic circles exist different measurement of productivity, it will get different results. In order to make the calculation of productivity estimates tend to be accurate, based on the OP and LP estimation method based on extended optimization, and test the accuracy of different methods; at the same time, this paper pays attention to the export enterprises, R & D and some other effects of financing constraints the factors on the productivity of the enterprises. So in the future from the specific in-depth discussion on how to improve China's industrial productivity level.
In this paper, the total factor productivity model of main overseas, in the introduction of export, the significant factors affecting the development and financing constraints on intermediate inputs, build on the survival probability of impact factors, and the estimated survival probability and total factor productivity expansion variable intermediate input factor function in OP and LP methods. Total factor productivity is then estimated as the dependent variable, export, development and financing constraints as independent variables to establish regression model, and using the generalized moment estimation (GMM) method to study significant influence area of influence factors. The calculated results show that the better estimation of the optimized method includes relevant information productivity also better to avoid the selection bias, and the extension of LP is better than OP type method to overcome the endogeneity problem in second. In the verification of steps, the optimized OP and LP methods both show export, and R & D and financing constraints play a significant role in promoting productivity growth. However, when sub regional factors return, R & D and exports show regional effects.

【学位授予单位】：厦门大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F124

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