National high-tech industrial development zones represent a major strategy of the Chinese government in developing high-tech industries and spurring regional economic growth. The effect of this policy is yet to be pro...National high-tech industrial development zones represent a major strategy of the Chinese government in developing high-tech industries and spurring regional economic growth. The effect of this policy is yet to be proven. Based on the panel data of 283 Chinese cities between 1984 and 2012, this paper investigates the effect of high-tech zones on regional economic development. Empirical results suggest that first, national hightech zones have remarkably enhanced regional GDP and per capita GDP growth, and this conclusion still holds true after multiple rounds of robustness test; second, the economic effect of national high-tech zones is subject to diminishing marginal return and compared with higher-tier cities, lower-tier cities benefited more from the creation of national hightech zones. This paper concludes that national high-tech zones where special policies are experimented and offered not only drive economic development but, if properly distributed across regions, may help reduce regional economic disparities as well. The results of this study provide important implications for the future distribution of national high-tech zones and the creation of other relevant policies.展开更多
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
This article is concerned with analyzes of experience of Technopark ＂Novosibirsk＂ as an important part of the innovation infrastructure of the Novosibirsk region. In this article the authors are formulated prioritie...This article is concerned with analyzes of experience of Technopark ＂Novosibirsk＂ as an important part of the innovation infrastructure of the Novosibirsk region. In this article the authors are formulated priorities for the development of an innovative economy： The promotion of investment growth in production infrastructure and innovation, increasing the orientation of research institutions to the needs of the real economy, the development of entrepreneurship in all sectors of the economy and the creation of necessary conditions. The article considers the key elements of innovation infrastructure. Also program ＂Development of high-tech industry and which Technopark ＂Novosibirsk＂ implements the this article is given a brief description of the complex target innovation in the industry to the city of Novosibirsk in 2020＂, in concept of technopark of distributed type, when the Technopark is built in the form of structural and autonomous innovation and technology centers established by the territorial-branch principle in conjunction with partner organizations. The analysis of the stories of success （and failure） of residents of Technopark is described in this article. Based on this analysis, which highlights the main factors contributing to the achievement of commercially meaningful results. These include training as an essential component of the innovation infrastructure. Describes the international educational programs implemented by the Innovative Technology Center ＂Education＂ at the Novosibirsk State University of Economics and Management. It is noted that the most important result of the operation of Technopark ＂Novosibirsk＂ was working out a model of public-private partnership that has allowed Technopark flourish, creating a network of specialized centers of innovation and technology. Finally the authors conclude that at the present time in Russia on almost all the basic elements of support for innovative entrepreneurship are created. At the same time a significant part of the difficulties cause problems originating from the external environment of business innovation展开更多
To evaluate the relative effectiveness of the input and output of the high-tech industry in China＇s 31 provinces （including municipalities and autonomous regions）, DEA evaluation model was constructed using data en...To evaluate the relative effectiveness of the input and output of the high-tech industry in China＇s 31 provinces （including municipalities and autonomous regions）, DEA evaluation model was constructed using data envelopment analysis （DEA）, and DEA evaluation model was solved using Deap2.1 software, for the purpose of obtaining the DEA efficiency and the non-DEA efficiency in all the provinces （including municipalities and autonomous regions）. Then, the comprehensive efficiency, technical efficiency, scale efficiency, scale return, and projection analysis were analyzed. Finally, the provinces of the non-DEA efficiency are sorted according to three efficiencies, and also a goal of improvement is proposed for the purpose of expanding technology investment in the provinces of the DEA efficiency.展开更多
基金sponsored by the National Natural Science Foundation Program(Approval No.71303185)the Social Sciences Planning Foundation Program of the Ministry of Education(Approval No.13XJA790003)+2 种基金the Social Sciences Foundation Program of Shaanxi Province(Approval No.12D124)the Program of Shaanxi Provincial Department of Education(Approval No.12JK0152)the Support Program for Outstanding Young Teachers of Northwest University(Approval No.PR12152)
文摘National high-tech industrial development zones represent a major strategy of the Chinese government in developing high-tech industries and spurring regional economic growth. The effect of this policy is yet to be proven. Based on the panel data of 283 Chinese cities between 1984 and 2012, this paper investigates the effect of high-tech zones on regional economic development. Empirical results suggest that first, national hightech zones have remarkably enhanced regional GDP and per capita GDP growth, and this conclusion still holds true after multiple rounds of robustness test; second, the economic effect of national high-tech zones is subject to diminishing marginal return and compared with higher-tier cities, lower-tier cities benefited more from the creation of national hightech zones. This paper concludes that national high-tech zones where special policies are experimented and offered not only drive economic development but, if properly distributed across regions, may help reduce regional economic disparities as well. The results of this study provide important implications for the future distribution of national high-tech zones and the creation of other relevant policies.
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This article is concerned with analyzes of experience of Technopark ＂Novosibirsk＂ as an important part of the innovation infrastructure of the Novosibirsk region. In this article the authors are formulated priorities for the development of an innovative economy： The promotion of investment growth in production infrastructure and innovation, increasing the orientation of research institutions to the needs of the real economy, the development of entrepreneurship in all sectors of the economy and the creation of necessary conditions. The article considers the key elements of innovation infrastructure. Also program ＂Development of high-tech industry and which Technopark ＂Novosibirsk＂ implements the this article is given a brief description of the complex target innovation in the industry to the city of Novosibirsk in 2020＂, in concept of technopark of distributed type, when the Technopark is built in the form of structural and autonomous innovation and technology centers established by the territorial-branch principle in conjunction with partner organizations. The analysis of the stories of success （and failure） of residents of Technopark is described in this article. Based on this analysis, which highlights the main factors contributing to the achievement of commercially meaningful results. These include training as an essential component of the innovation infrastructure. Describes the international educational programs implemented by the Innovative Technology Center ＂Education＂ at the Novosibirsk State University of Economics and Management. It is noted that the most important result of the operation of Technopark ＂Novosibirsk＂ was working out a model of public-private partnership that has allowed Technopark flourish, creating a network of specialized centers of innovation and technology. Finally the authors conclude that at the present time in Russia on almost all the basic elements of support for innovative entrepreneurship are created. At the same time a significant part of the difficulties cause problems originating from the external environment of business innovation
文摘To evaluate the relative effectiveness of the input and output of the high-tech industry in China＇s 31 provinces （including municipalities and autonomous regions）, DEA evaluation model was constructed using data envelopment analysis （DEA）, and DEA evaluation model was solved using Deap2.1 software, for the purpose of obtaining the DEA efficiency and the non-DEA efficiency in all the provinces （including municipalities and autonomous regions）. Then, the comprehensive efficiency, technical efficiency, scale efficiency, scale return, and projection analysis were analyzed. Finally, the provinces of the non-DEA efficiency are sorted according to three efficiencies, and also a goal of improvement is proposed for the purpose of expanding technology investment in the provinces of the DEA efficiency.
