高端装备制造业技术创新资源配置效率及影响因素研究——基于两阶段StoNED和Tobit模型的实证分析

doi:10.16381/j.cnki.issn1003-207x.2018.01.002

Abstract

Abstract: Under the new normal, high-end equipment manufacturing industries are becoming more and more important in promoting the steady growth of the national economy, accelerating the transformation and updating of the traditional industries, and enhancing the core competence of the industry chain. However, the rationality and validity of the allocation of the technological innovation resource has become the main bottle-neck restrictions of the sustainable development of the industries. Based on the evalue chain theory, the technological innovation activities are divided into two stages from the perspective of input-output, including technology research and development and technology transformation. Then, a two-stage stoned model is constructed to measure and compare the technological innovation resource allocation efficiencg of high-end equipment manufacturing and industries by using the industry panel data covering the sample period of 2011-2014. Meanwhile, the tobit model is used to analyzing the key factors affecting the efficiency via the perspective of the industrial organization. The empirical results show that the total efficiencg and stage efficiency differ in degree and volatility among these sub-industries and the efficiency of technological research and development stage is so low that it limits the optimization of the total efficiency level. By identifying the above factors, it turns out that the enterprise's size has negative effect on the efficiency of the technology transformation stage. The government support has remarkably negative influence on both the total efficiency and two stage efficiencies. Based on the above analysis results, this paper puts forward some policy suggestions on dealing with present situation of the allocation of the technological innovation resources are provided.

Key words: high-end equipment manufacturing industries, technological innovation resource allocation efficiency, two-stage StoNED model, tobit model, influencing factors

CLC Number:

FAN De-cheng, DU Ming-yue. Research on Technological Innovation Resource Allocation Efficiency and Its Influencing Factors in High-end Equipment Manufacturing Industries——Based on the Empirical Analysis of the Two-stage StoNED-Tobit Model[J]. Chinese Journal of Management Science, 2018, 26(1): 13-24.

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Research on Technological Innovation Resource Allocation Efficiency and Its Influencing Factors in High-end Equipment Manufacturing Industries——Based on the Empirical Analysis of the Two-stage StoNED-Tobit Model

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