创新效率对高技术产业出口复杂度的影响研究

发布时间：2018-04-03 09:17

本文选题：创新效率　切入点：出口复杂度　出处：《浙江财经大学》2016年硕士论文

【摘要】：经过几十年的高速发展,我国制造业规模以及货物贸易出口额自2013年以来便跃居世界第一,与此同时我国的出口产品技术结构变化显著,高技术产品出口比重持续上升。然而我们也清醒地认识到我国高技术产业虽然在某些领域形成了一定的国际竞争力,但是其整体创新能力还很弱,关键核心技术与高端装备对外贸易依存度很高。同时,加工贸易额占高技术产品贸易出口总额比重较高使得我国高技术产品的出口复杂度未能真正提高。《中华人民共和国国民经济和社会发展第十三个五年规划纲要》(下称“十三五规划”)也提出在对外贸易领域营造资本和技术密集型产业新优势,技术创新将助力实现高端技术产业的升级。因此研究高技术产业创新效率与出口技术含量即出口复杂度的提升关系具有重要的现实意义。本文着重考察创新效率对出口复杂度的影响,其主要内容、方法和结论包括以下几个方面:(1)创新效率和出口复杂度的测算方面,选取2002-2014年我国30个省、市、自治区(西藏除外)的面板数据,基于Hausman(2007)与陈晓华(2011)年测算出口复杂度的模型,将进口加工贸易滞后一期处理测算省级区域与行业层面的高技术产业出口复杂度。测算结果发现:(1)高技术产业出口复杂度与创新效率均呈现出东、中、西部递减的梯队趋势,但中西部差异不明显;(2)行业层面,计算机及办公设备制造业与电子及通信设备制造业是高技术产业中出口复杂度最高的产业。同时考虑到时间上的可比性及DMU的效率差异能够有所体现,采用超效率DEA模型测算区域层面的高技术产业创新效率,结果表明高技术产业创新效率总体水平较低,大多数省份仍处在DEA非有效的状态下。(2)构建理论分析框架研究创新效率对高技术产业出口复杂度的影响机制。在此基础上从要素禀赋方面选取固定资产投资与自然资源禀赋;内部推动因素方面选取金融发展水平与基础设施;外部推动因素方面选取外商直接投资作为控制变量,金融发展水平与贸易开放度作为转换变量,从全国整体层面分别构建动态面板模型与非线性面板平滑转换回归模型实证分析创新效率对高技术产业出口复杂度的线性与非线性影响。最后分区域视角构建静态面板模型实证分析创新效率对高技术产业出口复杂度影响的区域差异。主要得出以下结论:①全国整体视角下,创新效率、固定资产投资、金融发展水平、基础设施与FDI可以显著促进高技术产业出口复杂度的提升,自然资源禀赋会阻碍高技术产业出口复杂度的提升。在非线性PSTR模型中金融发展水平与贸易开放度两个转换变量影响下,创新效率对出口复杂度的影响均具有单门限特征,贸易开放度作为转换变量时,创新效率影响高技术产业出口复杂度的程度要显著高于金融发展水平作为转换变量的结果。②区域视角下,创新效率、自然资源禀赋、固定资产投资、金融发展水平、基础设施与FDI对高技术产业出口复杂度的影响程度具有显著差异。创新效率对高技术产业出口复杂度的影响呈现东、中、西部递增的趋势。(3)政策建议方面,根据实证分析结果从市场层面、高技术企业层面及政府层面提出了相应的政策建议。
[Abstract]:After decades of rapid development, China's manufacturing industry and the scale of trade in goods exports since 2013 has been ranked first in the world at the same time, changes in the structure of China's export products technology significantly, exports of high-tech products continued to rise. However, we are soberly aware that China's high technology industry although in some areas, the formation of the international competitiveness to some extent, but the overall innovation capability is weak, the key core technology and high-end equipment dependence on foreign trade is high. At the same time, the processing trade accounted for the proportion of total exports of high-tech products trade higher makes China's high tech product export sophistication. Not really improve the People's Republic of China national economic and social development in the thirteenth five years plan "(hereinafter referred to as the" 13th Five-Year plan ") is proposed to create a capital and technology intensive industries new advantages in the field of foreign trade, technology Innovation will help achieve the high-end technology industry upgrade. So it has important realistic meaning to study the innovation efficiency of high tech industry and export technology content of exports increased complexity. The paper focuses on the influence of the innovation efficiency of export sophistication, its main contents, methods and conclusions are as follows: (1) innovation and efficiency export complex estimation of the selected 2002-2014 years of China's 30 provinces, city, autonomous region (except Tibet) panel data based on Hausman (2007) and Chen Xiaohua (2011) estimates the complexity of the export model, the processing trade imports lagged in which regional and provincial industry level high technology industry export complexity. Calculation results showed: (1) high tech industry export complexity and innovation efficiency were shown in the East, West, echelon trend of decreasing, but the difference is not obvious; (2) the industry level meter Computer and office equipment manufacturing and electronic and communication equipment manufacturing industry is the export of high technology industry in the highest complexity industry. Taking into account the time difference and efficiency than DMU can be reflected by the super efficiency DEA model to measure regional innovation efficiency of high tech industry. The results show that the overall efficiency of innovation the level of high-tech industry is relatively low, most provinces are still in DEA non effective state. (2) to construct the analytical framework of the innovation efficiency of high-tech industry export complexity influence mechanism. On this basis from the aspects of selection of factor endowment investment in fixed assets and natural resources; promoting the internal factors from the level of financial development and infrastructure; the external factors from foreign direct investment as the control variables, the level of financial development and trade openness as transition variables from the whole body The levels were building a dynamic panel model and nonlinear panel smooth transition regression model empirical analysis of innovation efficiency of high-tech industry export complex linear and nonlinear influence degree. Finally, from the perspective of the construction of regional innovation efficiency analysis of regional differences in effects of export complexity on high tech industry static panel data. We draw the following conclusions: 1. The national innovation efficiency the overall perspective, investment in fixed assets, the level of financial development, infrastructure and FDI can significantly promote the export of high-tech industry level, natural resources will hinder the export of high-tech industries increased complexity. In the nonlinear PSTR model in financial development and the trade openness of the two variables under the influence of innovation effect the efficiency of export sophistication is single threshold, trade openness as conversion variable, the influence of high tech innovation efficiency Export complexity degree is obviously higher than the level of financial development as conversion variable results. Innovation efficiency of the regional perspective, the endowment of natural resources, fixed assets investment, financial development, infrastructure and FDI on the export of high-tech industry complex influence degree has a significant difference. The innovation efficiency of high-tech industry export the complexity of the influence in the East, in the west, increasing trend. (3) policy recommendations, according to the empirical analysis results from the market level, high technology enterprise level and the government level put forward the corresponding policy recommendations.

【学位授予单位】：浙江财经大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F276.44;F752.62

【相似文献】