Using datasets on high-tech industries in Beijing as empirical studies, this paper attempts to interpret spatial shift of high-tech manufacturing firms and to examine the main determinants that have had the greatest e...Using datasets on high-tech industries in Beijing as empirical studies, this paper attempts to interpret spatial shift of high-tech manufacturing firms and to examine the main determinants that have had the greatest effect on this spatial evolution. We aimed at merging these two aspects by using firm level databases in 1996 and 2010. To explain spatial change of the high-tech firms in Beijing, the Kernel density estimation method was used for hotspot analysis and detection by comparing their locations in 1996 and 2010, through which spatial features and their temporal changes could be approximately plotted. Furthermore, to provide quantitative results, Ripley′s K-function was used as an instrument to reveal spatial shift and the dispersion distance of high-tech manufacturing firms in Beijing. By employing a negative binominal regression model, we evaluated the main determinants that have significantly affected the spatial evolution of high-tech manufacturing firms and compared differential influence of these locational factors on overall high-tech firms and each sub-sectors. The empirical analysis shows that high-tech industries in Beijing, in general, have evident agglomeration characteristics, and that the hotspot has shifted from the central city to suburban areas. In combination with the Ripley index, this study concludes that high-tech firms are now more scattered in metropolitan areas of Beijing as compared with 1996. The results of regression model indicate that the firms′ locational decisions are significantly influenced by the spatial planning and regulation policies of the municipal government. In addition, market processes involving transportation accessibility and agglomeration economy have been found to be important in explaining the dynamics of locational variation of high-tech manufacturing firms in Beijing. Research into how markets and the government interact to determine the location of high-tech manufacturing production will be helpful for policymakers to enact effective policies toward a more efficient urban spatial structure.展开更多
The paper analyses the advantages of Shenzhen high-tech enterprises to establish the synchronization mechanism for R＆D and standardization based on the characteristics of Shenzhen high-tech industries,to provide some...The paper analyses the advantages of Shenzhen high-tech enterprises to establish the synchronization mechanism for R＆D and standardization based on the characteristics of Shenzhen high-tech industries,to provide some guidance, the paper provides some key points to establish the synchronization mechanism of R＆D. and standardization for high-tech enterprises.展开更多
Successful innovation is so important that enterprise scientifically manages the process and risk of technological innovation. Firstly, the process of innovation is generalized to seven stages including formation of i...Successful innovation is so important that enterprise scientifically manages the process and risk of technological innovation. Firstly, the process of innovation is generalized to seven stages including formation of innovation idea, investigation and evaluation, research and development, middle test, mass production, marketing and selling, after service and feedback. Secondly, the origin of risk in the process of innovation is analyzed. The purpose is to help enterprise identify risk and take countermeasure to minimize the potential loss and maximize the potential income.展开更多
This paper mainly studied the Financing Strategies of SMEs. It firstly collected literal reviews, and analyzed preliminarily the selection of the financing sample variables and data variables. Secondly, combined with ...This paper mainly studied the Financing Strategies of SMEs. It firstly collected literal reviews, and analyzed preliminarily the selection of the financing sample variables and data variables. Secondly, combined with Eviews5.0 software, it built a High-tech SMEs＇ financing model and deeply dug the factors affecting the financing of High-tech SMEs. Finally, combined with practical experience, this paper explored the measurements of financing taken by SMEs, and analyzed new financing channels. This paper made some contribution to the development of the High-tech SMEs＇ financing.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.40971075)
文摘Using datasets on high-tech industries in Beijing as empirical studies, this paper attempts to interpret spatial shift of high-tech manufacturing firms and to examine the main determinants that have had the greatest effect on this spatial evolution. We aimed at merging these two aspects by using firm level databases in 1996 and 2010. To explain spatial change of the high-tech firms in Beijing, the Kernel density estimation method was used for hotspot analysis and detection by comparing their locations in 1996 and 2010, through which spatial features and their temporal changes could be approximately plotted. Furthermore, to provide quantitative results, Ripley′s K-function was used as an instrument to reveal spatial shift and the dispersion distance of high-tech manufacturing firms in Beijing. By employing a negative binominal regression model, we evaluated the main determinants that have significantly affected the spatial evolution of high-tech manufacturing firms and compared differential influence of these locational factors on overall high-tech firms and each sub-sectors. The empirical analysis shows that high-tech industries in Beijing, in general, have evident agglomeration characteristics, and that the hotspot has shifted from the central city to suburban areas. In combination with the Ripley index, this study concludes that high-tech firms are now more scattered in metropolitan areas of Beijing as compared with 1996. The results of regression model indicate that the firms′ locational decisions are significantly influenced by the spatial planning and regulation policies of the municipal government. In addition, market processes involving transportation accessibility and agglomeration economy have been found to be important in explaining the dynamics of locational variation of high-tech manufacturing firms in Beijing. Research into how markets and the government interact to determine the location of high-tech manufacturing production will be helpful for policymakers to enact effective policies toward a more efficient urban spatial structure.
文摘The paper analyses the advantages of Shenzhen high-tech enterprises to establish the synchronization mechanism for R＆D and standardization based on the characteristics of Shenzhen high-tech industries,to provide some guidance, the paper provides some key points to establish the synchronization mechanism of R＆D. and standardization for high-tech enterprises.
文摘Successful innovation is so important that enterprise scientifically manages the process and risk of technological innovation. Firstly, the process of innovation is generalized to seven stages including formation of innovation idea, investigation and evaluation, research and development, middle test, mass production, marketing and selling, after service and feedback. Secondly, the origin of risk in the process of innovation is analyzed. The purpose is to help enterprise identify risk and take countermeasure to minimize the potential loss and maximize the potential income.
文摘This paper mainly studied the Financing Strategies of SMEs. It firstly collected literal reviews, and analyzed preliminarily the selection of the financing sample variables and data variables. Secondly, combined with Eviews5.0 software, it built a High-tech SMEs＇ financing model and deeply dug the factors affecting the financing of High-tech SMEs. Finally, combined with practical experience, this paper explored the measurements of financing taken by SMEs, and analyzed new financing channels. This paper made some contribution to the development of the High-tech SMEs＇ financing.
