Cross-border investment is essential for western China’s globalization.Global value chain(GVC)forms cross-border investment networks between industries in western China and overseas cities.Focusing on GVC,this study ...Cross-border investment is essential for western China’s globalization.Global value chain(GVC)forms cross-border investment networks between industries in western China and overseas cities.Focusing on GVC,this study uses the social network analysis method,entropy method,multi-index comprehensive evaluation method,and quadratic assignment procedure analysis method to examine the characteristics and influencing factors of the urban networks of research and development(R&D),production,and sales formed as a result of the overseas investments of listed manufacturing companies in western China.Results showed that the three types of investment networks involved multiple industry types and multiple central cities with differentiated diversity and multicentrality.The R&D urban network’s leading sub-industries were the mechanical equipment and instruments,medicine and biological products,and metal and nonmetal industries.The destination cities were mostly those home to educational and scientific research centers.The production urban network’s leading sub-industries were the mechanical equipment,instrument,and food and beverage industries.The destination cities were mostly regional central cities in developing countries.The sales urban network’s leading sub-industries were the mechanical equipment and instrument,metal and nonmetal,and petrochemical and plastics industries.The destination cities were numerous and scattered.In addition,the R&D urban network easily formed specialized clusters,core nodes easily controlled the production urban network,and individual nodes did not easily control the sales urban network.Technological and economic system advantages greatly impacted the three network types.Considering the different influencing factors,this study suggests optimizing the institutional investment environment to narrow the institutional gap,adjusting and optimizing the investment layout to expand overseas markets,and increasing R&D funds to stimulate technological progress and overseas investments in western China.展开更多
Using an analytical framework of the global production network （GPN）, the present paper examines the external environment and the internal dynamics of China＇s integrated circuit （IC） industry. We analyze the tran...Using an analytical framework of the global production network （GPN）, the present paper examines the external environment and the internal dynamics of China＇s integrated circuit （IC） industry. We analyze the transition of China＇s IC industry from a state-led integrated device manufacturers＇ model to deeper integration into the GPN. We also explore the technological sources, the upgrading dynamics as well as the positioning of different nodes of China＇s IC industry in the GPN. We conclude that the ＂East Asia model＇＂ of gradual industrial upgrading might not apply anymore in the new era of GPN. High-technology industries can now be upgraded based on a parallel evolution model. Policy implications for China＇s high-technology industrial upgrading strategies are drawn from our analysis.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41971198)。
文摘Cross-border investment is essential for western China’s globalization.Global value chain(GVC)forms cross-border investment networks between industries in western China and overseas cities.Focusing on GVC,this study uses the social network analysis method,entropy method,multi-index comprehensive evaluation method,and quadratic assignment procedure analysis method to examine the characteristics and influencing factors of the urban networks of research and development(R&D),production,and sales formed as a result of the overseas investments of listed manufacturing companies in western China.Results showed that the three types of investment networks involved multiple industry types and multiple central cities with differentiated diversity and multicentrality.The R&D urban network’s leading sub-industries were the mechanical equipment and instruments,medicine and biological products,and metal and nonmetal industries.The destination cities were mostly those home to educational and scientific research centers.The production urban network’s leading sub-industries were the mechanical equipment,instrument,and food and beverage industries.The destination cities were mostly regional central cities in developing countries.The sales urban network’s leading sub-industries were the mechanical equipment and instrument,metal and nonmetal,and petrochemical and plastics industries.The destination cities were numerous and scattered.In addition,the R&D urban network easily formed specialized clusters,core nodes easily controlled the production urban network,and individual nodes did not easily control the sales urban network.Technological and economic system advantages greatly impacted the three network types.Considering the different influencing factors,this study suggests optimizing the institutional investment environment to narrow the institutional gap,adjusting and optimizing the investment layout to expand overseas markets,and increasing R&D funds to stimulate technological progress and overseas investments in western China.
基金funding from the Ministry of Science and Technology of China and National Social Science Foundation(No.07CZZ012)
文摘Using an analytical framework of the global production network （GPN）, the present paper examines the external environment and the internal dynamics of China＇s integrated circuit （IC） industry. We analyze the transition of China＇s IC industry from a state-led integrated device manufacturers＇ model to deeper integration into the GPN. We also explore the technological sources, the upgrading dynamics as well as the positioning of different nodes of China＇s IC industry in the GPN. We conclude that the ＂East Asia model＇＂ of gradual industrial upgrading might not apply anymore in the new era of GPN. High-technology industries can now be upgraded based on a parallel evolution model. Policy implications for China＇s high-technology industrial upgrading strategies are drawn from our analysis.
