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
As the impact of the global energy crisis deepens,traditional oil resources are exhausted,and the harm caused by air pollution and rising global temperatures is increasingly severe;the government and automobile enterp...As the impact of the global energy crisis deepens,traditional oil resources are exhausted,and the harm caused by air pollution and rising global temperatures is increasingly severe;the government and automobile enterprises generally believe that energy saving and emission reduction is the future technology development direction of the automobile industry.The main direction of the attack is the general trend of new energy vehicles to replace traditional vehicles.As a leader in new energy pure electric vehicles,Tesla Motors has created a new concept of using the Internet for manufacturing cars and opened up a new brand segment of the automobile market.This paper mainly uses the PEST analysis model and Porter’s Five Forces analysis model to understand the essence of Tesla is not a pure electric vehicle manufacturer,but a high-tech innovation driver at the forefront of the world.Based on the PEST model analysis,Tesla’s development is still at the right time and place despite the impact of COVID-19.From Porter’s Five Forces model,Tesla has higher bargaining power and a strong dominant position with upstream suppliers and service providers.Tesla has a first-mover advantage due to its customers’weak bargaining power,which lets Tesla’s leading position in the industry cannot be surpassed in the short term.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As the impact of the global energy crisis deepens,traditional oil resources are exhausted,and the harm caused by air pollution and rising global temperatures is increasingly severe;the government and automobile enterprises generally believe that energy saving and emission reduction is the future technology development direction of the automobile industry.The main direction of the attack is the general trend of new energy vehicles to replace traditional vehicles.As a leader in new energy pure electric vehicles,Tesla Motors has created a new concept of using the Internet for manufacturing cars and opened up a new brand segment of the automobile market.This paper mainly uses the PEST analysis model and Porter’s Five Forces analysis model to understand the essence of Tesla is not a pure electric vehicle manufacturer,but a high-tech innovation driver at the forefront of the world.Based on the PEST model analysis,Tesla’s development is still at the right time and place despite the impact of COVID-19.From Porter’s Five Forces model,Tesla has higher bargaining power and a strong dominant position with upstream suppliers and service providers.Tesla has a first-mover advantage due to its customers’weak bargaining power,which lets Tesla’s leading position in the industry cannot be surpassed in the short term.
