China’s growing trade with countries along the“Belt and Road”Initiative is accompanied by a focus on green development.Based on the panel data from 2007 to 2018,this paper establishes a threshold regression model t...China’s growing trade with countries along the“Belt and Road”Initiative is accompanied by a focus on green development.Based on the panel data from 2007 to 2018,this paper establishes a threshold regression model to empirically analyze the institutional quality threshold effect of China’s foreign trade technology spillover on the GTFP of countries along the“Belt and Road.”The results show that China’s foreign trade technology spillover has a significant institutional quality double threshold effect on the green total factor productivity of the countries along the“Belt and Road.”As the institutional quality of the countries along the“Belt and Road”crosses a specific threshold value,the impact of China’s foreign trade technology spillover on the green total factor productivity of the countries along the“Belt and Road”has a significant positive promoting effect,and corresponding suggestions are put forward.展开更多
Empirical studies on the effects of China-African economic relations on energy intensity in Africa are scarce.To fill the gap in the literature,this study investigates the technology spillover effects of the China-Afr...Empirical studies on the effects of China-African economic relations on energy intensity in Africa are scarce.To fill the gap in the literature,this study investigates the technology spillover effects of the China-Africa trade and investment relations on energy intensity.It uses both linear and nonlinear dynamic panel estimation methods for 42 African countries from 2003 to 2015.The results show that China's technology spillover through imports significantly reduces energy intensity in Africa.The findings are consistent across specifications and sample groups.Moreover,the technology spillover coming from foreign direct investment(FDI)improves energy intensity,particularly in lower-middle-income African countries.The dynamic threshold estimation results show that countries'absorptive ability is important for technology spillover effects of FDI and imports on energy intensity.The results suggest that countries'absorptive capacity should be increased to maximize the benefits of trade and investment technology spillovers.展开更多
China's technological efforts to tackle climate change have lasted for many years. It is necessary to test the effect of these efforts with quantitative method. To be exact, whether and how China's low-carbon ...China's technological efforts to tackle climate change have lasted for many years. It is necessary to test the effect of these efforts with quantitative method. To be exact, whether and how China's low-carbon technology innovation responds to climate change should be tested. Based on the2004-2015 panel data of 30 provinces in China, we use the method of ESDA analyzing the spatial correlation of China's low-carbon innovation technology. Furthermore, we use the spatial Durbin model empirically analyzing the spatial spillover effects. The results obtained are as follows: first,supply and demand of Chinese low-carbon innovation has some deviation in the spatial distribution. The low-carbon technology innovation as the supply factor shows the characteristics of expanding from the east to the west. Innovation in eastern China has always been the most active, but innovative activities in the middle and western China are gradually decreased.However, carbon emissions have the characteristics of moving westward, implying the change of technology demand different from technology supply. Second, China's low-carbon innovation actively responds to the trend of climate change, indicating China's technological efforts have paid off. However, the spatial spillover effects are not significant, showing that the efforts in each region of China still work for himself. Third, environmental regulation and market pull are important factors for low-carbon technology innovation. Among them, both supporting policy and inhibitory policy have significant impact on the local low-carbon technology innovation, but no significant spatial spillover effects. It shows that environmental policies in different regions are competitive and lack of demonstration effects. Economic growth and export as market pull have higher level of effect on low-carbon technology innovation for both local and adjacent areas.Some policy implications are proposed based on these results finally.展开更多
This paper explores the effects of China’s global value chain(GVC)participation on technological progress in trading-partner countries based on estimated data on value-added trade between China and 52 trading partner...This paper explores the effects of China’s global value chain(GVC)participation on technological progress in trading-partner countries based on estimated data on value-added trade between China and 52 trading partners.We find that,first,although China’s exports lowered the total factor productivity(TFP)of its trading partners(competitive effect),its imports greatly increased trading partners’TFP(effect of scale).This implies that China’s GVC participation is beneficial to its trading partners’technological progress in the form of a considerable technology dividend effect.Second,China’s export dividend effect compensates for the negative effect of Chinese competition on trading partners’technological progress;the innovation effects attributable to China’s imports reinforce the positive effects of scale on technological progress.When innovation is factored in,the China dividend thus becomes further reinforced.Third,China’s merchandise imports have a diminishing positive effect on technological progress in trading partners as geographical distance increases,but trade in services transcends geographical boundaries,and the positive technological progress effect of China’s service imports do not diminish as distance increases.We find that the“China dividend”from China’s GVC participation is a significant contributor to technological progress in partner nations,and China’s imports are conducive to innovation and technological progress in developed countries in the long run.展开更多
The optimal license proportions with and without technology spillover are analyzed with a game-theoretical approach when a patent-holding firm licensed non-drastic process innovation to his incumbent rivals by means o...The optimal license proportions with and without technology spillover are analyzed with a game-theoretical approach when a patent-holding firm licensed non-drastic process innovation to his incumbent rivals by means of a first price sealed bid auction. The optimal strategy is obtained through solving the game by backward induction. It is found that the range of optimal license proportion is narrower when there is spillover compared to the no spillover case.展开更多
Foreign-invested enterprises' influence on China's enterprises' technology is one of the most important issues. We use the panel data of China's state-owned enterprises to analyze this influence. The result shows ...Foreign-invested enterprises' influence on China's enterprises' technology is one of the most important issues. We use the panel data of China's state-owned enterprises to analyze this influence. The result shows that the foreign-invested enterprises have a significant influence on the native enterprises. We find that the extent of the technology spillover is positively related to the technological level of the foreign-invested enterprises, while their caoital and asset scales have rather comnlicated influences.展开更多
Sharing economy developed soon in China recently.On the basis of analyzing technology spillover between a technologically advanced nation(country)and a less developed one,a technology catching-up model of technologica...Sharing economy developed soon in China recently.On the basis of analyzing technology spillover between a technologically advanced nation(country)and a less developed one,a technology catching-up model of technological capacity and path dependence is proposed based on Verspagen mode.The proposed model can explain how a less developed nation(country)can catch up the advanced one.It is not only to improve its own technological capacity,but also whether it could bread“the locking”of path dependence.For the less developed nation(country),the“conscious behavior”of economic body cannot be ignored to achieve the evolution from path dependence to path creation.Thus,the less developed nation(country)should cultivate the technology ability,furthermore,the creative realization and ability,which could break away the negative impact of technology to path dependence,and catch up the advanced one.展开更多
This article calculates the technological spillover effects of foreign direct investment (FDI) in the Yangtze River Delta and the Pearl River Delta through Panel Data, and analyzes the influence on the technological s...This article calculates the technological spillover effects of foreign direct investment (FDI) in the Yangtze River Delta and the Pearl River Delta through Panel Data, and analyzes the influence on the technological spillover effects of the following factors in these two different areas: human capital, the opening up, R&D and the source of FDI. It makes the conclusion that FDI in different areas has different technological spillover effects and the local governments should make different policies accordingly so as to gain more obvious technology spillover effects.展开更多
文摘China’s growing trade with countries along the“Belt and Road”Initiative is accompanied by a focus on green development.Based on the panel data from 2007 to 2018,this paper establishes a threshold regression model to empirically analyze the institutional quality threshold effect of China’s foreign trade technology spillover on the GTFP of countries along the“Belt and Road.”The results show that China’s foreign trade technology spillover has a significant institutional quality double threshold effect on the green total factor productivity of the countries along the“Belt and Road.”As the institutional quality of the countries along the“Belt and Road”crosses a specific threshold value,the impact of China’s foreign trade technology spillover on the green total factor productivity of the countries along the“Belt and Road”has a significant positive promoting effect,and corresponding suggestions are put forward.
文摘Empirical studies on the effects of China-African economic relations on energy intensity in Africa are scarce.To fill the gap in the literature,this study investigates the technology spillover effects of the China-Africa trade and investment relations on energy intensity.It uses both linear and nonlinear dynamic panel estimation methods for 42 African countries from 2003 to 2015.The results show that China's technology spillover through imports significantly reduces energy intensity in Africa.The findings are consistent across specifications and sample groups.Moreover,the technology spillover coming from foreign direct investment(FDI)improves energy intensity,particularly in lower-middle-income African countries.The dynamic threshold estimation results show that countries'absorptive ability is important for technology spillover effects of FDI and imports on energy intensity.The results suggest that countries'absorptive capacity should be increased to maximize the benefits of trade and investment technology spillovers.
基金supported by the Major Tender Projects of National Social Science Foundation of China "Study on Optimization and Operation Mechanism of Industrial Eco Economic System in China"[grant number 12&ZD207]National Natural Science Foundation of China "Research on Value Chain Structure and Firm Embeddedness of Emerging Industries Driven by Technology Convergence"[grant number 71704069]+2 种基金MOE(Ministry of Education in China)Liberal Arts and Social Sciences Foundation "Research on the Formation Mechanism of Dynamic Capability of China's Manufacturing Clusters for Sustainable Eco-innovation"[grant number 16YJC630125]Social Science Foundation of Jiangsu Province "Research on Eco-innovation and New Competitive Advantages of Jiangsu Manufacturing Industrial Clusters"[grant number17GLB020]Natural Science Foundation of the Jiangsu Higher Education Institutions "Spatial Pattern Evolution and Influencing Factors of Carbon Emissions Efficiency of Construction Industry in China"[grant number17KJB170004]
文摘China's technological efforts to tackle climate change have lasted for many years. It is necessary to test the effect of these efforts with quantitative method. To be exact, whether and how China's low-carbon technology innovation responds to climate change should be tested. Based on the2004-2015 panel data of 30 provinces in China, we use the method of ESDA analyzing the spatial correlation of China's low-carbon innovation technology. Furthermore, we use the spatial Durbin model empirically analyzing the spatial spillover effects. The results obtained are as follows: first,supply and demand of Chinese low-carbon innovation has some deviation in the spatial distribution. The low-carbon technology innovation as the supply factor shows the characteristics of expanding from the east to the west. Innovation in eastern China has always been the most active, but innovative activities in the middle and western China are gradually decreased.However, carbon emissions have the characteristics of moving westward, implying the change of technology demand different from technology supply. Second, China's low-carbon innovation actively responds to the trend of climate change, indicating China's technological efforts have paid off. However, the spatial spillover effects are not significant, showing that the efforts in each region of China still work for himself. Third, environmental regulation and market pull are important factors for low-carbon technology innovation. Among them, both supporting policy and inhibitory policy have significant impact on the local low-carbon technology innovation, but no significant spatial spillover effects. It shows that environmental policies in different regions are competitive and lack of demonstration effects. Economic growth and export as market pull have higher level of effect on low-carbon technology innovation for both local and adjacent areas.Some policy implications are proposed based on these results finally.
文摘This paper explores the effects of China’s global value chain(GVC)participation on technological progress in trading-partner countries based on estimated data on value-added trade between China and 52 trading partners.We find that,first,although China’s exports lowered the total factor productivity(TFP)of its trading partners(competitive effect),its imports greatly increased trading partners’TFP(effect of scale).This implies that China’s GVC participation is beneficial to its trading partners’technological progress in the form of a considerable technology dividend effect.Second,China’s export dividend effect compensates for the negative effect of Chinese competition on trading partners’technological progress;the innovation effects attributable to China’s imports reinforce the positive effects of scale on technological progress.When innovation is factored in,the China dividend thus becomes further reinforced.Third,China’s merchandise imports have a diminishing positive effect on technological progress in trading partners as geographical distance increases,but trade in services transcends geographical boundaries,and the positive technological progress effect of China’s service imports do not diminish as distance increases.We find that the“China dividend”from China’s GVC participation is a significant contributor to technological progress in partner nations,and China’s imports are conducive to innovation and technological progress in developed countries in the long run.
文摘The optimal license proportions with and without technology spillover are analyzed with a game-theoretical approach when a patent-holding firm licensed non-drastic process innovation to his incumbent rivals by means of a first price sealed bid auction. The optimal strategy is obtained through solving the game by backward induction. It is found that the range of optimal license proportion is narrower when there is spillover compared to the no spillover case.
文摘Foreign-invested enterprises' influence on China's enterprises' technology is one of the most important issues. We use the panel data of China's state-owned enterprises to analyze this influence. The result shows that the foreign-invested enterprises have a significant influence on the native enterprises. We find that the extent of the technology spillover is positively related to the technological level of the foreign-invested enterprises, while their caoital and asset scales have rather comnlicated influences.
基金Beijing Municipal Education Commission Social Science Program General Project of China(SM201811417008)Premium Funding Project for Academic Human Resources Development in Beijing Union University(BPHR2017DS14)+2 种基金Education Teaching Research and Reform Project of Beijing Union University(JJ2018Q018)Social Science Foundation of Beijing(17GLC050)National Social Science Foundation of China(17BGL265).
文摘Sharing economy developed soon in China recently.On the basis of analyzing technology spillover between a technologically advanced nation(country)and a less developed one,a technology catching-up model of technological capacity and path dependence is proposed based on Verspagen mode.The proposed model can explain how a less developed nation(country)can catch up the advanced one.It is not only to improve its own technological capacity,but also whether it could bread“the locking”of path dependence.For the less developed nation(country),the“conscious behavior”of economic body cannot be ignored to achieve the evolution from path dependence to path creation.Thus,the less developed nation(country)should cultivate the technology ability,furthermore,the creative realization and ability,which could break away the negative impact of technology to path dependence,and catch up the advanced one.
基金Funded by the Natural Science Foundation of China (No. 70472060).
文摘This article calculates the technological spillover effects of foreign direct investment (FDI) in the Yangtze River Delta and the Pearl River Delta through Panel Data, and analyzes the influence on the technological spillover effects of the following factors in these two different areas: human capital, the opening up, R&D and the source of FDI. It makes the conclusion that FDI in different areas has different technological spillover effects and the local governments should make different policies accordingly so as to gain more obvious technology spillover effects.