我国文化产业的全要素生产率研究

发布时间：2018-10-12 12:51

【摘要】：随着人类社会的发展,文化与经济、科技之间的相互渗透性、相互交融性日益增强,文化在整个社会中的意义与价值越来越明显。文化产业越来越引起人们的重视和青睐,许多国家都把文化产业作为提高综合国力的战略性产业,学术界也越来越关注文化产业的研究。本文采用基于因子分析的DEA-Malmquist指数方法对我国文化产业全要素生产率进行研究,与以往的文献采用的方法不同,采用这样方法,在投入产出指标的选取上更加科学化、合理化,由此得出的实证结果也更具有说服力。首先,对文化产业的相关理论进行研究,包括文化产业的定义、生产率的测得等方面,并对我国的文化产业现状进行了分析。结合我国文化产业的特殊情况和前人的研究成果,选取了备选的投入、产出指标,运用因子分析法,确定出最终的投入产出指标,然后运用DEA-Malmquist指数法,对我国31个省市自治区2000-2009年的文化产业发展情况进行动态分析,利用Deap软件测算出全要素生产率之后,得出我国文化产业生产率整体上是呈增长趋势,东部地区发展最好,中西部与东部地区有一定的差距。之后将全要素生产率作为被解释变量,引入文化产业的影响因素：大专以上学历人数、文化事业费占财政支出的比重、人均GDP以及虚拟变量——文化体制改革作为解释变量,进行Tobit模型回归,判断各自变量对文化产业全要素生产率的影响方向和影响程度。实证结果表明,2000-2009年我国文化产业全要素生产率整体呈增长趋势,整体竞争力水平有显著提升,东部地区的文化产业发展水平显著高于中西部地区,文化产业效率的影响因素中,教育因素对文化产业的影响尚不明显,文化事业费占财政支出的比重与人均GDP对文化产业效率存在显著的积极影响,引入的虚拟变量“文化体制改革”,虽然对文化产业效率有正面的影响,但是不显著。
[Abstract]:With the development of human society, culture, economy, science and technology of the mutual penetration, mutual integration increasingly, the significance and value of culture in the whole society is becoming more and more obvious. Cultural industry attracts more and more attention and favor. Many countries regard cultural industry as a strategic industry to improve comprehensive national strength, and the academic circles pay more and more attention to the research of cultural industry. In this paper, the DEA-Malmquist index method based on factor analysis is used to study the total factor productivity of cultural industry in China, which is different from the previous literature. This method is more scientific and reasonable in the selection of input-output index. The empirical results are also more convincing. Firstly, the related theories of cultural industry are studied, including the definition of cultural industry and the measurement of productivity, and the present situation of cultural industry in China is analyzed. Combined with the special situation of Chinese cultural industry and the previous research results, the author selected the alternative input and output index, determined the final input-output index by using the factor analysis method, and then used DEA-Malmquist index method to determine the final input-output index. This paper makes a dynamic analysis of the development of cultural industry in 31 provinces and autonomous regions of China from 2000 to 2009. After using Deap software to calculate the total factor productivity, it is concluded that the productivity of the cultural industry in our country as a whole is increasing, and the development of the eastern region is the best. There is a certain gap between the central and western regions and the eastern regions. Then the total factor productivity is taken as the explained variable, and the influencing factors of the cultural industry are introduced: the number of college degree or above, the proportion of the cultural expenses to the financial expenditure, the per capita GDP and the fictitious variable, the reform of the cultural system as the explanatory variable. Tobit regression model is used to judge the influence direction and degree of each variable on the total factor productivity of cultural industry. The empirical results show that the total factor productivity of the cultural industry in China increased from 2000 to 2009, and the overall competitiveness of the cultural industry increased significantly, and the development level of the cultural industry in the eastern region was significantly higher than that in the central and western regions, among the factors affecting the efficiency of the cultural industry. The influence of educational factors on cultural industry is not obvious. The proportion of cultural service expenses in financial expenditure and GDP per capita have a significant positive effect on the efficiency of cultural industry. The virtual variable "cultural system reform" is introduced. Although has the positive influence to the cultural industry efficiency, but is not remarkable.
【学位授予单位】：西北大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：G124

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