In this paper, an expert decision-making system of technology reformation schemes of a colliery (for short EDSTRC) is researched by comprehensively using ES and DSS principles and computer technique. The functional an...In this paper, an expert decision-making system of technology reformation schemes of a colliery (for short EDSTRC) is researched by comprehensively using ES and DSS principles and computer technique. The functional and logical structures of EDSTRC as well as its sub-systems are mainly designed, and its development and application environment are simply introduced. EDSTRC is consisted of eight main parts, i.e. data base (DB), knowledge base (KB), model base (MB), approach base (AB), graph base (GB), result base (RB), man-compute system (MCS), and problem-solved system (PSS). Through application of practical examples, it is proved that the EDSTRC’s prototype design is correct, its man-computer interface is amicable, and its applicable prospect is wider.展开更多
Unlike technology spillovers from FDI or international trade, which operate through a single channel, technology spillovers from multinational outsourcing operate through the combined effect of multiple channels inclu...Unlike technology spillovers from FDI or international trade, which operate through a single channel, technology spillovers from multinational outsourcing operate through the combined effect of multiple channels including import spillovers, export spillovers and pure knowledge spillovers. On the basis of the knowledge production function approach, this paper constructs an international R＆D spillover regression equation to test the effect of different technology spillover channels on technological innovation in China＇s manufacturing industry. Research shows that import spillovers are the only channel to have a significant effect, and this varies from industry to industry. Its significance is low in high- tech industry and medium-high in mid-tech and low-tech industries. Empirical findings indicate that China＇s local enterprises are unlikely to achieve technological innovation via ＂learning from importing＂ or ＂learning from communication.＂展开更多
文摘In this paper, an expert decision-making system of technology reformation schemes of a colliery (for short EDSTRC) is researched by comprehensively using ES and DSS principles and computer technique. The functional and logical structures of EDSTRC as well as its sub-systems are mainly designed, and its development and application environment are simply introduced. EDSTRC is consisted of eight main parts, i.e. data base (DB), knowledge base (KB), model base (MB), approach base (AB), graph base (GB), result base (RB), man-compute system (MCS), and problem-solved system (PSS). Through application of practical examples, it is proved that the EDSTRC’s prototype design is correct, its man-computer interface is amicable, and its applicable prospect is wider.
基金later stage funding support from the National Social Science Fund(12FJY010)a project of Zhejiang Gongshang University’s Modern Business and Trade Research Center(a key Humanities and Social Sciences base of the Ministry of Education)(09JDSM07YB)a major tender project of Zhejiang Gongshang University’s Zhejiang Business Research Institute
文摘Unlike technology spillovers from FDI or international trade, which operate through a single channel, technology spillovers from multinational outsourcing operate through the combined effect of multiple channels including import spillovers, export spillovers and pure knowledge spillovers. On the basis of the knowledge production function approach, this paper constructs an international R＆D spillover regression equation to test the effect of different technology spillover channels on technological innovation in China＇s manufacturing industry. Research shows that import spillovers are the only channel to have a significant effect, and this varies from industry to industry. Its significance is low in high- tech industry and medium-high in mid-tech and low-tech industries. Empirical findings indicate that China＇s local enterprises are unlikely to achieve technological innovation via ＂learning from importing＂ or ＂learning from communication.＂
