战略性新兴产业集聚与影响因素

发布时间：2018-04-23 03:08

本文选题：战略性新兴产业 + 产业集聚　；参考：《浙江工商大学》2013年硕士论文

【摘要】：自2007年美国次贷危机以来,全球经济迅速跌入谷底,由此引发的欧债危机如今对全球经济造成严重影响。在经济全球化的环境下,如何进行新一轮的产业供需结构调整成为全球经济体面对的共同问题。自2009年11月3日温家宝在《让科技引领中国可持续发展》的重要讲话中首次明确提出了战略性新兴产业的概念以来,关于我国战略性新兴产业的相关研究层出不穷。其中如何选择和发展战略性新兴产业成为各地区经济发展的热点话题。本文根据周晶在《战略性新兴产业统计标准研究》中提出的战略性新兴产业选择标准,选取2010年规模以上制造业数据、2008年经济普查数据,2011年第三产业统计年鉴中的相关数据进行相关筛选及处理,展开对我国战略性新兴产业的研究。本文首先对2010年战略性新兴产业的基本现状进行统计性描述,计算各个行业的发展规模,并与2004、2008年数据进行对比分析。然后对战略性新兴产业的集聚水平进行测度,分别从行业角度和地区角度测算行业集中度与地区区位商,并对战略性新兴产业做DEA效率分析。实证结论：(1)战略性新兴产业的在国民经济总体规模中占比小；(2)七大分行业间发展规模差距较大,但处于缩小的趋势；(3)七大行业的区位优势各不相同,节能环保产业、新一代信息技术产业和高端装备制造业区位优势集中在东部地区,生物产业、新能源产业、新材料产业、新能源汽车产业区位优势集中在中西部地区；(4)七大行业集聚水平并不高,其细分行业中个别行业表现出强势的集聚水平；(5)战略性新兴产业制造业集聚水平普遍高于服务业；(6)战略性新兴产业总体区位熵呈现出一个由东至西,由沿海到内陆,区位优势逐渐减弱再增强的倒U型发展趋势。制造业集聚程度更高,而服务业分布更为均衡；(7)战略性新兴产业总体效率测度结果表明：纯技术效率低下是制约战略性新兴产业效率提高的主要因素。最后尝试对战略性新兴产业进行空间相关性分析,根据检验结果对战略性新兴产业制造业与服务业分别进行空间计量统计建模。建模结果表明,资本投入与技术水平对制造业与服务业地区集聚水平均存在正向影响,且它们对战略性新兴产业服务业的影响强于制造业。
[Abstract]:Since the U.S. subprime mortgage crisis in 2007, the global economy has quickly bottomed out, leading to a European debt crisis that now has a serious impact on the global economy. Under the environment of economic globalization, how to adjust the industrial supply and demand structure in a new round has become a common problem facing the global economy. Since Wen Jiabao put forward the concept of strategic emerging industry for the first time in his important speech "Let Science and Technology lead China's Sustainable Development" on November 3, 2009, there has been an endless stream of research on strategic emerging industry in China. How to select and develop strategic emerging industries has become a hot topic of regional economic development. According to the selection criteria of strategic emerging industries proposed by Zhou Jing in the Statistical Standards of Strategic emerging Industries, This paper selects the manufacturing data above the scale of 2010, the economic census data of 2008 and the relevant data of the third industry statistical yearbook of 2011 to carry on the relevant screening and processing, and carries on the research to the strategic emerging industry of our country. In this paper, the basic status of strategic emerging industries in 2010 is first statistically described, and the scale of development of each industry is calculated, and compared with the data of 2004 and 2008. Then it measures the agglomeration level of strategic emerging industries, calculates the industry concentration and regional location quotient from the angle of industry and region, and analyzes the DEA efficiency of strategic emerging industries. Empirical conclusion: (1) the proportion of strategic emerging industries in the overall national economic scale is 2%) there is a large gap in the development scale among the seven major industries, but the seven major industries have different regional advantages, and the energy conservation and environmental protection industries are different. The regional advantages of the new generation of information technology industries and high-end equipment manufacturing industries are concentrated in the eastern region, the biological industry, the new energy industry, the new material industry, The regional advantages of the new energy automobile industry are concentrated in the central and western regions of China.) the level of agglomeration of the seven major industries is not high. Individual industries in its subdivision show a strong level of agglomeration. (5) the level of agglomeration of manufacturing industries in strategic emerging industries is generally higher than that in service industries (6) the overall location entropy of strategic emerging industries presents a pattern from east to west, from coast to interior. The position advantage gradually weakens and strengthens the inverted U-type development trend. The result shows that the low efficiency of pure technology is the main factor restricting the improvement of the efficiency of strategic emerging industries. Finally, it tries to analyze the spatial correlation of strategic emerging industries, and according to the test results, carries on the spatial econometric statistical modeling of strategic emerging industries manufacturing industry and service industry respectively. The results show that both capital input and technology level have positive effects on the regional agglomeration level of manufacturing and service industries, and they have a stronger impact on strategic emerging industries than manufacturing industries.
【学位授予单位】：浙江工商大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F279.1;F124;F224

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