中国省际信息产业全要素生产率增长的趋同:2005-2012

发布时间：2018-11-10 11:05

【摘要】：在全球化时代背景下,信息产业是美国等发达国家实现经济增长目标的重要引擎,对我国调整产业结构具备重要的借鉴意义。受2008年金融危机影响,各国经济表现疲弱,信息产业是经济企稳的重要推助力。我国正处于转变经济结构的攻坚期,信息产业作为战略性带头产业的地位不容忽视。本文利用2005-2012年中国28个地区信息产业发展数据,研究中国省际信息产业全要素生产率(Total Factor Productivity,下文简称TFP)增长的趋同性。总结全文,梳理了以下四个问题:首先,界定了国内外信息产业的概念、范围、特点及发展现状。明确信息产业促进经济增长的重要意义。其次,用Malmquist指数法测算信息产业TFP增长率,分析其形成动因和发展趋势。进一步,从地域、效率指数和行业构成的角度详细分析信息产业TFP增长率变动情况。再次,基于上一步研究,构建σ趋同模型、绝对β趋同模型、俱乐部趋同模型和条件β趋同模型检验信息产业TFP的趋同情况。最后,根据实证研究结果,对全文进行了总结,并从促进区域协调发展、重视人才培养、构建自主创新体系、减少政府干预四个个方面提出了政策建议。研究结果表明:第一,2005-2012年中国信息产业TFP平均增长率是9.4%。技术效率和技术进步共同促进信息产业TFP增长率的提高。信息制造业的TFP增长率和信息服务业的TFP增长率轨迹呈现背离趋势。第二,中部地区信息产业TFP增长率最高,其次是西部地区,最后是东部地区。这在一定程度上说明,相对发达地区的TFP增长率水平较低,欠发达地区的TFP增长率相对较高。信息制造业TFP增长率的提高源于技术效率和技术进步的共同促进,信息服务业则仅仅依靠技术进步的提高。第三,全国范围内,信息制造业的TFP增长率大于信息服务业的TFP增长率。第四,我国信息产业确实存在绝对β趋同、俱乐部趋同和条件β趋同。政府行为对信息产业TFP增长率起到反向作用,经济自由度对其具有正向作用。
[Abstract]:Under the background of globalization, the information industry is an important engine for the developed countries, such as the United States, to achieve the goal of economic growth, which is of great significance for our country to adjust its industrial structure. Affected by the 2008 financial crisis, weak economic performance around the world, the information industry is an important boost to economic stability. China is in the period of transforming economic structure, information industry as a strategic leading industry can not be ignored. Based on the data of information industry development in 28 regions of China from 2005 to 2012, this paper studies the convergence of the growth of total factor productivity (Total Factor Productivity,) of China's inter-provincial information industry (TFP). Firstly, it defines the concept, scope, characteristics and current situation of information industry at home and abroad. Clear information industry promotes the important meaning of economic growth. Secondly, the TFP growth rate of information industry is measured by Malmquist index method, and its formation motivation and development trend are analyzed. Furthermore, the paper analyzes the change of TFP growth rate in information industry from the angle of region, efficiency index and industry composition. Thirdly, based on the previous research, we construct 蟽 convergence model, absolute 尾 convergence model, club convergence model and conditional 尾 convergence model to test the convergence of information industry TFP. Finally, according to the results of empirical research, this paper summarizes the full text, and puts forward policy recommendations from four aspects: promoting regional coordinated development, paying attention to talent training, building independent innovation system and reducing government intervention. The results show that: first, the average TFP growth rate of China's information industry in 2005-2012 is 9. 4%. Technical efficiency and technological progress jointly promote the TFP growth rate of the information industry. The TFP growth rate of the information manufacturing industry and the TFP growth rate track of the information service industry show a deviation trend. Second, the TFP growth rate of the information industry in the central region is the highest, followed by the western region and the eastern region. To a certain extent, the TFP growth rate in the relatively developed regions is lower, and the TFP growth rate in the less developed regions is relatively high. The increase of TFP growth rate in information manufacturing industry originates from the mutual promotion of technological efficiency and technological progress, while the information service industry only depends on the improvement of technological progress. Thirdly, the TFP growth rate of information manufacturing industry is higher than the TFP growth rate of information service industry. Fourth, China's information industry does exist absolute 尾-convergence, club convergence and conditional 尾-convergence. Government behavior has a negative effect on the growth rate of TFP in information industry, and economic freedom has a positive effect on it.
【学位授予单位】：山东财经大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F224

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