In this paper, we study the location distribution and determinants for Chinese firms’ overseas Research and Development(R&D) activities, based on a dataset of 1,500 Chinese firms that established overseas R&D...In this paper, we study the location distribution and determinants for Chinese firms’ overseas Research and Development(R&D) activities, based on a dataset of 1,500 Chinese firms that established overseas R&D subsidiaries during the years 2010-2014. Integrating Dunning’s eclectic paradigm and Uppsala Model, we construct a two-dimensional model, which consists of the determinants from host countries and from the interactions between the host countries and the home country, China. We use a multiple-regression method to analyze the determinants and rationale of the location choice of Chinese firms’ overseas R&D activities. By identifying the determinants of the location of the Chinese firms, we aim to reveal whether and where the location strategy of Chinese firms’ R&D globalization differs from those of the firms in the U.S., Europe and Japan;and to provide a reference for Chinese firms in their strategy-making on R&D globalization.展开更多
On the basis of important role of science and technology in economic development, thisarticle systematically studies and discusses strategic evaluation techniques and methods of R&D projectfrom management sector’...On the basis of important role of science and technology in economic development, thisarticle systematically studies and discusses strategic evaluation techniques and methods of R&D projectfrom management sector’s angles. Firstly, it summarizes the existing R&D project evaluation methods.Then the ’three step’ method of R&D project evaluation is presented, that is (1) the benefit and successprobability of R&D project are evaluated based on the fuzzy influence diagram, (2) the portfolio analysisin the structure of R&D project is studied. (3) ’0-1’ model is used for project selection. The methodcan combine qualitative analysis with quantitative calculation, and describe the relationship betweenfactors that influence project’s result, thus improve the decision level of R&D project evaluation andselection. Finally, by means of practical application, the effectiveness and feasibility of the method areverified.展开更多
基金supported by the Department of Science and Technology of Guangdong Province,Soft Science Research Project(2015B070702004)“Monitoring and evaluation of innovation-driven development and regional comparison in Guangdong province”the National Natural Science Foundation of China(NSFC)Project(71672184)“The evolution of innovation ecosystem and formation of competitive advantage-approach of ecosystem rent”
文摘In this paper, we study the location distribution and determinants for Chinese firms’ overseas Research and Development(R&D) activities, based on a dataset of 1,500 Chinese firms that established overseas R&D subsidiaries during the years 2010-2014. Integrating Dunning’s eclectic paradigm and Uppsala Model, we construct a two-dimensional model, which consists of the determinants from host countries and from the interactions between the host countries and the home country, China. We use a multiple-regression method to analyze the determinants and rationale of the location choice of Chinese firms’ overseas R&D activities. By identifying the determinants of the location of the Chinese firms, we aim to reveal whether and where the location strategy of Chinese firms’ R&D globalization differs from those of the firms in the U.S., Europe and Japan;and to provide a reference for Chinese firms in their strategy-making on R&D globalization.
文摘On the basis of important role of science and technology in economic development, thisarticle systematically studies and discusses strategic evaluation techniques and methods of R&D projectfrom management sector’s angles. Firstly, it summarizes the existing R&D project evaluation methods.Then the ’three step’ method of R&D project evaluation is presented, that is (1) the benefit and successprobability of R&D project are evaluated based on the fuzzy influence diagram, (2) the portfolio analysisin the structure of R&D project is studied. (3) ’0-1’ model is used for project selection. The methodcan combine qualitative analysis with quantitative calculation, and describe the relationship betweenfactors that influence project’s result, thus improve the decision level of R&D project evaluation andselection. Finally, by means of practical application, the effectiveness and feasibility of the method areverified.
