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
The depth and breadth of participation in the global value chain(GVC)significantly impacts a country's fine particulate contamination(PM_(2.5))emissions.First,based on the GVC accounting framework,the sources of P...The depth and breadth of participation in the global value chain(GVC)significantly impacts a country's fine particulate contamination(PM_(2.5))emissions.First,based on the GVC accounting framework,the sources of PM_(2.5) emissions in China between 1990 and 2015 are identified and investigated considering production-side,consumption-side,and export-implied pollution.Then,index decomposition analysis(IDA)of emissions is conducted to further investigate the changes in and causes of air pollution in China.Throughout the analytical process,differences between the PM_(2.5) emissions in two time periods-one of rapid economic growth and another of the“new normal”economy-are compared.The results demonstrate that:China is embedded in high pollution links of GVCs;China transfers pollution to third-parties by importing intermediate products from resource-intensive countries in the global production system;extensive economic growth caused an increase in China's total PM_(2.5) emissions,but cleaner production technology can reduce the emissions intensity.Industrial restructuring under the“new normal”has increased China's short-term PM_(2.5) emissions intensity.These results suggest that China should optimize and upgrade its domestic economic structure and transform its export growth mode to deliver high added value and low pollution.Further,it should prioritize cooperation between the upstream and downstream value chain and accelerate the upgrading of its consumption structure in this new era.展开更多
Empirical evidence of the effects of global value chain( GVC) embeddedness on clustered firms' innovation is presented in this paper. The intermediary roles of the two types of knowledge spillover( explicit and im...Empirical evidence of the effects of global value chain( GVC) embeddedness on clustered firms' innovation is presented in this paper. The intermediary roles of the two types of knowledge spillover( explicit and implicit) in GVC embeddedness and clustered firms' innovation are considered, and the effects of structure embeddedness,relationship embeddedness,and acknowledgement embeddedness on clustered firms' innovation are examined. Analysis is based on the sample of 134 export-oriented firms from the Shaoxing industrial cluster in Zhejiang province of China. Results show that although GVC embeddedness is associated with high use of external knowledge sources,clustered firms' innovation is promoted indirectly through explicit knowledge spillover. Intrinsic connections exist among the different dimensions of GVC embeddedness,that is,structure embeddedness not only directly improves relationship embeddedness but also indirectly improves acknowledgement embeddedness through relationship embeddedness.展开更多
By creating a five-country I-O model of China, EU, US, Japan and other countries, this paper decomposes gross export into nine parts and investigates the GVC positions and competitiveness of China and the other three ...By creating a five-country I-O model of China, EU, US, Japan and other countries, this paper decomposes gross export into nine parts and investigates the GVC positions and competitiveness of China and the other three economies for different sectors using real domestic trade in value-added and GVC position indices. In addition, valueadded trade is taken into consideration to identify the labor division characteristics of the four economies in the GVC, which led to the following findings: China participates primarily in the single links of the GVC at the downstream yet shows a significant tendency to move upstream in technology-intensive sectors; Japan participates primarily in the single links of the GVC at the upstream and boasts an advantage in technology-intensive sectors; the US participates in the multiple links of the GVC at the upstream with superiority in hightechnology sectors; the EU participates in the production and export of intermediate goods and final goods at both ends.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This paper was supported by the National Natural Science Foundation of China[Grant number.72173100,71703130,71803159,71903157]The Soft Science Research Program of Sichuan Province[Grant number.2021JDR0133]the Fundamental Research Funds for the Central Universities[Grant number.JBK2103003,JBK1805006].
文摘The depth and breadth of participation in the global value chain(GVC)significantly impacts a country's fine particulate contamination(PM_(2.5))emissions.First,based on the GVC accounting framework,the sources of PM_(2.5) emissions in China between 1990 and 2015 are identified and investigated considering production-side,consumption-side,and export-implied pollution.Then,index decomposition analysis(IDA)of emissions is conducted to further investigate the changes in and causes of air pollution in China.Throughout the analytical process,differences between the PM_(2.5) emissions in two time periods-one of rapid economic growth and another of the“new normal”economy-are compared.The results demonstrate that:China is embedded in high pollution links of GVCs;China transfers pollution to third-parties by importing intermediate products from resource-intensive countries in the global production system;extensive economic growth caused an increase in China's total PM_(2.5) emissions,but cleaner production technology can reduce the emissions intensity.Industrial restructuring under the“new normal”has increased China's short-term PM_(2.5) emissions intensity.These results suggest that China should optimize and upgrade its domestic economic structure and transform its export growth mode to deliver high added value and low pollution.Further,it should prioritize cooperation between the upstream and downstream value chain and accelerate the upgrading of its consumption structure in this new era.
基金National Natural Science Foundation of China(No.71373040)National Soft Science Foundation of China(No.2010GXS5D202)+1 种基金Fundamental Research Funds for Central Universities in ChinaDHU Distinguished Young Professor Program,China(NO.B201315)
文摘Empirical evidence of the effects of global value chain( GVC) embeddedness on clustered firms' innovation is presented in this paper. The intermediary roles of the two types of knowledge spillover( explicit and implicit) in GVC embeddedness and clustered firms' innovation are considered, and the effects of structure embeddedness,relationship embeddedness,and acknowledgement embeddedness on clustered firms' innovation are examined. Analysis is based on the sample of 134 export-oriented firms from the Shaoxing industrial cluster in Zhejiang province of China. Results show that although GVC embeddedness is associated with high use of external knowledge sources,clustered firms' innovation is promoted indirectly through explicit knowledge spillover. Intrinsic connections exist among the different dimensions of GVC embeddedness,that is,structure embeddedness not only directly improves relationship embeddedness but also indirectly improves acknowledgement embeddedness through relationship embeddedness.
基金supported by“12th Five-year Plan of Guangdong Province for Philosophical and Social Sciences”“Study on the Effects of Rising Labor Cost on the Technical Innovation of Heterogeneous Exporting Firms”(Grant No.GD14XYJ10)
文摘By creating a five-country I-O model of China, EU, US, Japan and other countries, this paper decomposes gross export into nine parts and investigates the GVC positions and competitiveness of China and the other three economies for different sectors using real domestic trade in value-added and GVC position indices. In addition, valueadded trade is taken into consideration to identify the labor division characteristics of the four economies in the GVC, which led to the following findings: China participates primarily in the single links of the GVC at the downstream yet shows a significant tendency to move upstream in technology-intensive sectors; Japan participates primarily in the single links of the GVC at the upstream and boasts an advantage in technology-intensive sectors; the US participates in the multiple links of the GVC at the upstream with superiority in hightechnology sectors; the EU participates in the production and export of intermediate goods and final goods at both ends.
