Spatial econometric analysis on Chinese patent product efficiency

Abstract

Abstract: Under the assumption that scale returns are variance, the usage of Total Factor Productivity (TFP) analysis framework is introduced. From the angle of production theory, the factors of pure technical efficiency change, scale efficiency change, technical change, and technical efficiency change are comprehensively considered. The knowledge production function is used to built a DEA-Malmquist index of patent output performance which could be used to detect the dynamic change of the efficiency. And then the socio-economic panel data of 30 provinces (municipalities) in China during the period of 2000-2008 are used to conduct an empirical analysis on patent output performance. And the spatial econometric approach is adopted to make a comprehensive investigation on regional differences and impact of influence factors. The empirical result shows that the efficiency of patent output maintains an upward trend and presents a distribution pattern of spatial dependence and spatial heterogeneity at the global scale, and the most of innovators concentrate in the eastern coastal area of China. Besides, it is also found that the level of regional economic development, the industrial structure, and the level of urbanization exert the important positive influence on the efficiency of regional patent output, meanwhile the index of transaction value in technical market and educational population receiving the degree equal or above associate diploma per 100,000 persons make insignificant contributors to the efficient growth in the short term.

Key words: patent product, efficiency, Malmquist index, spatial econometric analysis

CLC Number:

F062.3:F061.5

Ma Junjie, Lu Rui, Liu Chunyan. Spatial econometric analysis on Chinese patent product efficiency[J]. Science Research Management, 2013, (6): 99-105,114.

References

[1] 方曙, 张勐, 高利丹.我国省(市)自治区专利产出与其GDP之间关系的实证研究[J].科研管理,2006,27(2):40-44,99.
[2] 张继红, 吴玉鸣.专利产出与区域经济增长的动态关联机制分析 [J].工业工程与管理,2007(2):45-50.
[3] Romer P M. EndogenousTechnological Change [J] . Journal of Political Economy , 1990 ,98(5) :71-102.
[4] Grossman G,Helpman E. Innovation and Growt h in the Global Economy[M] . Cambridge : MIT Press ,1991:59-83.
[5] 刘华. 专利制度与经济增长:理论与现实-对中国专利制度运行绩效的评估[J]. 中国软科学,2002(10):26-30.
[6] 徐竹青. 专利、技术创新与经济增长:理论与实证[J] . 科技管理研究,2004(5):109-111.
[7] Bovaird T, Dominique Guellec,Catalina Martin. Patent systems for encouraging innovation:Lessons from economic analysis[J].Research Policy,2006:1423-1440
[8] Maria, K G, Kline, D. Discovering New Value in Intellectual Property [J].Harvard Business Review, 2000,78(1):54-66.
[9] 蒋玉宏,单晓光。区域知识产权发展和保护绩效评价—指标体系与评价方法[J].科技进步与对策,2009,26(22):144-146.
[10] 池仁勇,唐根年.基于投入与绩效评价的区域技术创新效率研究[J].科研管理,2004(5):33-37.
[11] 李美娟,陈国宏,肖细凤.基于一致性组合评价的区域技术创新能力评价与比较分析[J].中国管理科学,2009,17(2):131-139.
[12] 官建成,何颖.基于DEA方法的区域创新系统的评价[J].科学学研究,2005(4):31-33.
[13] 虞晓芬,李正卫,池仁勇.我国区域技术创新效率:现状与原因[J].科学学研究,2005(2):27-30.
[14] 吴玉鸣.空间计量经济模型在省域研发与创新中的应用研究[J].数量经济技术经济研究,2006(5):74-85.
[15] Griliches , Z .Issues in assesing the contribution of research and development to productivity growth [J]. Bell Journal of Economics ,1979, 10 (1): 92-1161.
[16] Caves D W,Christensen L R,Diewert W E.Multilateral comparisons of output, input and productivity using superlative index numbers[J]. Economic Journal,1982,92:73-86.
[17] F re, R., Grosskopf, S., Norris, M., Zhang, Z., 1994. Productivity growth, technical progress, and efficiency change in industrialized countries [J]. The American Economic Review, 1994, 84 (1), 66-83.
[18] Dong-hyun Oh, Almas Heshmati. A sequential Malmquist-Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology [J]. Energy Economics, 2010, (32):1345-1355.
[19] Anselin L. Spatial Econometrics: Methods and Models[M].Dordrecht: Kluwer Academic, 1988.