Geographical Endowment, Foreign Trade and the Industrial Technology Innovation Efficiency Based on Analysis of Panel Quantile Experience

Abstract

Abstract: Based on the data from provincial industrial enterprises in China from 2001 to 2013, this paper studies foreign trade's impact on innovation efficiency of industrial technology of the whole country, three major economic regions and each quantile. It applies quantile regression panel method to survey. Research result shows that industrial technology innovation efficiency of East China takes a leading position, while catch-up effect in Middle and West China is obvious measured with SBM model. Meanwhile it has a twin-peak feature by kernel density curve. Import trade has a lever effect on innovation efficiency of industrial technology in the nationwide situation, while export trade has a distinct crowding-out effect on innovation efficiency of industrial technology. Among the three major regions, import trade all has positive spillover effects, while export trade has a lever effect in East China and a crowding-out effect in Middle China. However spillover effect in West China depends on the location of specific quantile. Finally, based on the empirical conclusion, this paper puts forward the corresponding suggestion.

Key words: foreign trade, technological innovation efficiency, quantile regression panel, regional differences

Wang Hui, Bian Yijie, Wang Shuqiao, Li Xiaocong. Geographical Endowment, Foreign Trade and the Industrial Technology Innovation Efficiency Based on Analysis of Panel Quantile Experience[J]. , 2017, 29(3): 40-48.

References

[1] Krugman P. A Model of Innovation, Technology Transfer, and the World Distribution of Income[J]. Journal of Political Economy, 1979,87(2):253-66
[2] Bernard A., Jensen B. Exceptional Exporter Performance Cause Effect or Both?[J]. Journal of International Economics, 1999,47(1):1-25
[3] Filipescu D. A., Prashantham S., Rialp A., Rialp J. Technological Innovation and Exports: Unpacking Their Reciprocal Causality[J]. Journal of International Marketing, 2013,21(1):23-38
[4] Govindaraju V. G. R. C., Vijayaraghavan G. K., Pandiyan V. Product and Process Innovation In Malaysian Manufacturing: The Role of Government, Organizational Innovation and Exports[J]. Innovational-Management Policy&Pratice, 2013,15(1):52-68
[5] Imbriani C.,Morone P.,Testa G.Innovation, Quality and Exports: The Case of Italian SMEs[J]. Journal of International Trade&Economic Development, 2014,23(8):1089-1111
[6] 康志勇. 出口贸易与自主创新——基于我国制造业企业的实证研究[J]. 国际贸易问题, 2011,(2):35-45
[7] 李平,田朔. 出口贸易对技术创新影响的研究:水平溢出与垂直溢出——基于动态面板数据模型的实证分析[J]. 世界经济研究, 2010,(2):44-48
[8] Coe D. T., Helpman E. International R&D Spillovers[J]. European Economic Review, 1993,39(5):859-887
[9] Coe D. T., Helpman E., Hoffmaister A. W. North-South R&D Spillovers[J]. Cepr Discussion Papers, 1997,107(440):134-149
[10] Fritsch U., Goerg H. Outsourcing, Importing and Innovation: Evidence from Firm-level Data for Emerging Economies[J]. Review of International Economics, 2015,23(4):687-714
[11] Hwang H., Peng C. H., Shih P. C. Parallel Imports, Product Innovation and Market Structures[J]. International Review of Economics&Finance, 2014,(34):237-245
[12] Smith S. W. Follow Me to the Innovation Frontier? Leaders, laggards, and the Qifferential Effects of Imports and Exports on Technological Innovation[J].Journal of International Business Studies, 2014,45(3):248-274
[13] Liu R. J., Rosell C. Import Cmpetition, Multi-product Firms, and Basic Innovation[J]. Journal of International Economics, 2013,91(2):220-234
[14] 沈能,李富有. 技术势差、进口贸易溢出与生产率空间差异——基于双门槛效应的检验[J]. 国际贸易问题, 2012,(9):108-117
[15] 杨剑波. 进口贸易与我国技术创新的人力资本门槛效应[J]. 科技进步与对策, 2009,(6):16-20
[16] Battese G. E., Coelli T. J. A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data[J]. Empirical Economics, 1995,20(2):325-332
[17] 肖丁丁,朱桂龙,王静. 政府科技投入对企业R&D支出影响的再审视——基于分位数回归的实证研究[J]. 研究与发展管理, 2013,25(3):25-32
[18] 李金昌,杨松,赵楠. 中国能源强度影响因素分析——基于分位数回归法[J]. 商业经济与管理, 2014,(12):73-80
[19] 叶明确,方莹. 出口与我国全要素生产率增长的关系——基于空间杜宾模型[J]. 国际贸易问题,2013,(5):19-31
[20] 钟祖昌. 研发创新SBM效率的国际比较研究——基于OECD国家和中国的实证分析[J].财经研究,2011,37(9):80-90
[21] Sharma S., Homas V. J. Inter-country R&D Efficiency Analysis:An Application of Data Envelopment Analysis[J]. Scientometrics, 2008,76(3):483-501
[22] 张江雪,朱磊. 基于绿色增长的我国各地区工业企业技术创新效率研究[J]. 数量经济技术经济研究, 2012,(2):113-125
[23] 韩晶. 中国高技术产业创新效率研究:基于SFA方法的实证分析[J]. 科学学研究, 2010,28(3):467-472
[24] 杨青峰. 高技术产业地区研发创新效率的决定因素——基于随机前沿模型的实证分析[J]. 管理评论, 2013,25(6):47-58
[25] 章仁俊. 中国工业企业自主创新效率评价:基于DEA方法的研究[J]. 中国科技论坛, 2010,(5):52-57
[26] 黄贤凤,武博,王建华. 中国八大经济区工业企业技术创新效率及其影响因素研究[J]. 中国科技论坛, 2013,(8):90-97
[27] 沈能. 能源投入、污染排放与我国能源经济效率的区域空间分布研究[J]. 财贸经济, 2010,(1):107-113
[28] 杜伟. 人力资本、R&D投资对中国省域技术效率的影响研究[J]. 中国科技论坛, 2013,(6):128-134
[29] 肖仁桥,钱丽,陈忠卫. 中国高技术产业创新效率及其影响因素研究[J]. 管理科学, 2012,25(5):85-98
[30] 黄少滨,杨艳歌,吕天阳. 基于核密度估计的参保人员缴费基数核定方法研究[J]. 管理评论, 2013,25(4):95-102