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
Agricultural technological innovation strategic alliance, as an important form of strategic alliance, has steadily strengthened the collaborative management among organizations and raised competitive power with the ba...Agricultural technological innovation strategic alliance, as an important form of strategic alliance, has steadily strengthened the collaborative management among organizations and raised competitive power with the backing of improved group innovation ability. This article studies innovation ability from individual innovation ability to the group innovation ability. Firstly, basic connotation of group innovation ability is to be concluded through the comparison of individual and group innovation ability. Secondly, evaluation index system is to be established based on the influencing factors of the group innovation ability of agricultural technological innovation strategic alliance and evaluation is based on three dimensions, namely organization technological innovation ability, alliance collaborative innovation ability as well as innovation environment. Furthermore, basic methods for promoting the group innovation ability of alliance are to be proposed.展开更多
Based on joint-innovation patent data from 2000 to 2016 in the Beijing-Tianjin-Hebei region of China,the purpose of this paper is to analyze how technological proximity affects university-industry collaborative innova...Based on joint-innovation patent data from 2000 to 2016 in the Beijing-Tianjin-Hebei region of China,the purpose of this paper is to analyze how technological proximity affects university-industry collaborative innovation in the Beijing-Tianjin-Hebei region.We adopt a 1:1 matching design to conduct an empirical study.The results show that the effect of technological proximity on the formation of collaborative innovation displays an inverted U-shape,and geographical proximity and institutional proximity play a positive role of forming a tie.Geographical proximity and institutional proximity as a coordination mechanism,have negatively influenced the relationship between technological proximity and the formation of university-industry collaborative innovation.Furthermore,university strength improves the possibility of collaborative innovation.These findings contributed to the understanding of the relationship between technological proximity and collaborative innovation.展开更多
From the author, there are not less than a dozen of rather significant recent publications in scientific editions anticipating some aspects of importance to innovation such as “bigger data”, AI, IP, and frontier tec...From the author, there are not less than a dozen of rather significant recent publications in scientific editions anticipating some aspects of importance to innovation such as “bigger data”, AI, IP, and frontier technology with a central massive contribution in 2020 on AI, IP, and EI. Nonetheless, the IP associated with AI remains still barely covered in scientific publications. Especially patent discussion tends to be rather a legal matter. Another trilogy, 2013, “Business Strategy-IP Strategy-R&D Strategy: An All-in-One Business Model” proposed by the author, marked the advent, and customized implementation of a new strategy level. After the two trilogies’ volumes, the AI-IP “accessibility” chapter was a logical step brought to the attention of a larger public by the author. The time now to bring to light another chapter, namely the IP eligibility of AI innovation steps in ad hoc inventions. The main objectives of this short, principally illustrated communication, are to: 1) Revise the best mode requirement status, i.e. the best way to enable the reproducibility of claimed matter, reviewing its need for improvement when AI is involved. And proposing a unique sequence of evolution inspired by IP’s current and evolving practices. 2) Give a new dimension to visual aids to help the Best Mode description, demystify AI complexity, and underline frontier traits that may hinder a confident adoption or well-argued rejection. 3) Further illustrations take into account the fact that IoT, AI, and 3D can be simpler than perceived. 4) Finally ATA©, Adjacent Technology Analysis, is timely refreshed in a unique challenging, indeed tumultuous, environment. 5) Bias, such as semantic ones is consistently monitored. 6) Overall leaving space for innovative pleasurable interpretation. The emphasis is on educational, illustrative and demonstrative value.展开更多
According to new features of distributed technology innovation collaboration of complex products of China’s aviation,in the multi-agent collaborative R&D process,between main manufacturer and suppliers,this paper...According to new features of distributed technology innovation collaboration of complex products of China’s aviation,in the multi-agent collaborative R&D process,between main manufacturer and suppliers,this paper summarizes the organizational structure and characteristics of collaborative mode of distributed technology innovation of complex products,basing on the technological innovation and resource integration of complex products,and treating resource contribution rate as a key parameter. It establishes multi-agent resource integration collaborative symbiosis model under distributed collaborative technology innovation mode based on symbiosis theory. And finds that some factors such as the basic attributes of the enterprise,the mutual influence of resources among enterprises and the behavior decision of the main manufacturer have some effects on the resource integration using stability analysis and simulation analysis,which provides a theoretical basis for the main manufacturer to optimize the behavior of suppliers’ resource integration.展开更多
As the strategic alliance between firms is becoming increasingly popular, and collaborative innovation is becoming an important management issue, the lack of a holistic framework of different collaborative partners’ ...As the strategic alliance between firms is becoming increasingly popular, and collaborative innovation is becoming an important management issue, the lack of a holistic framework of different collaborative partners’ characteristics and their different effects on firms’ innovation is becoming a critical research gap. Another intension of our study is to explore the moderating factors that affect the market dissimilarity/technology complementarity—innovation performance relationships. Using the data of collaboration between innovative firms, we tested our hypotheses using partial least squares(PLS). The results show that both market dissimilarity and technology complementarity between collaborative partners relate positively to focal firms’ innovation performance, in terms of both novelty and efficiency,while technology complementarity is more effective. Our results also indicate that IT adoption negatively moderates the relationship between market dissimilarity and collaborative innovation novelty/efficiency,and the relationship between technology complementarity and innovation efficiency, while in terms of the relationship between technology complementarity and innovation novelty, the moderating effect becomes significantly positive. This study extends previous research on collaborative innovation.展开更多
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Agricultural technological innovation strategic alliance, as an important form of strategic alliance, has steadily strengthened the collaborative management among organizations and raised competitive power with the backing of improved group innovation ability. This article studies innovation ability from individual innovation ability to the group innovation ability. Firstly, basic connotation of group innovation ability is to be concluded through the comparison of individual and group innovation ability. Secondly, evaluation index system is to be established based on the influencing factors of the group innovation ability of agricultural technological innovation strategic alliance and evaluation is based on three dimensions, namely organization technological innovation ability, alliance collaborative innovation ability as well as innovation environment. Furthermore, basic methods for promoting the group innovation ability of alliance are to be proposed.
基金This work was supported by the National Social Science Foundation of China(grant number 13AZD015)Key Project of Philosophy and Social Sciences Research,Ministry of Education of PRC(grant number 15JZD017)National Natural Science Foundation of China(grant number 71373158).
文摘Based on joint-innovation patent data from 2000 to 2016 in the Beijing-Tianjin-Hebei region of China,the purpose of this paper is to analyze how technological proximity affects university-industry collaborative innovation in the Beijing-Tianjin-Hebei region.We adopt a 1:1 matching design to conduct an empirical study.The results show that the effect of technological proximity on the formation of collaborative innovation displays an inverted U-shape,and geographical proximity and institutional proximity play a positive role of forming a tie.Geographical proximity and institutional proximity as a coordination mechanism,have negatively influenced the relationship between technological proximity and the formation of university-industry collaborative innovation.Furthermore,university strength improves the possibility of collaborative innovation.These findings contributed to the understanding of the relationship between technological proximity and collaborative innovation.
文摘From the author, there are not less than a dozen of rather significant recent publications in scientific editions anticipating some aspects of importance to innovation such as “bigger data”, AI, IP, and frontier technology with a central massive contribution in 2020 on AI, IP, and EI. Nonetheless, the IP associated with AI remains still barely covered in scientific publications. Especially patent discussion tends to be rather a legal matter. Another trilogy, 2013, “Business Strategy-IP Strategy-R&D Strategy: An All-in-One Business Model” proposed by the author, marked the advent, and customized implementation of a new strategy level. After the two trilogies’ volumes, the AI-IP “accessibility” chapter was a logical step brought to the attention of a larger public by the author. The time now to bring to light another chapter, namely the IP eligibility of AI innovation steps in ad hoc inventions. The main objectives of this short, principally illustrated communication, are to: 1) Revise the best mode requirement status, i.e. the best way to enable the reproducibility of claimed matter, reviewing its need for improvement when AI is involved. And proposing a unique sequence of evolution inspired by IP’s current and evolving practices. 2) Give a new dimension to visual aids to help the Best Mode description, demystify AI complexity, and underline frontier traits that may hinder a confident adoption or well-argued rejection. 3) Further illustrations take into account the fact that IoT, AI, and 3D can be simpler than perceived. 4) Finally ATA©, Adjacent Technology Analysis, is timely refreshed in a unique challenging, indeed tumultuous, environment. 5) Bias, such as semantic ones is consistently monitored. 6) Overall leaving space for innovative pleasurable interpretation. The emphasis is on educational, illustrative and demonstrative value.
基金Supported by the National Natural Science Foundation of China(71372080,71573115,71373117,71433006)Fundamental Research Funds for the Central Universities(3082018NJ20160083)Jiangsu Postdoctoral Fund(1601102C)
文摘According to new features of distributed technology innovation collaboration of complex products of China’s aviation,in the multi-agent collaborative R&D process,between main manufacturer and suppliers,this paper summarizes the organizational structure and characteristics of collaborative mode of distributed technology innovation of complex products,basing on the technological innovation and resource integration of complex products,and treating resource contribution rate as a key parameter. It establishes multi-agent resource integration collaborative symbiosis model under distributed collaborative technology innovation mode based on symbiosis theory. And finds that some factors such as the basic attributes of the enterprise,the mutual influence of resources among enterprises and the behavior decision of the main manufacturer have some effects on the resource integration using stability analysis and simulation analysis,which provides a theoretical basis for the main manufacturer to optimize the behavior of suppliers’ resource integration.
基金the support from the National Natural Science Foundation of China(71772014,71772103)
文摘As the strategic alliance between firms is becoming increasingly popular, and collaborative innovation is becoming an important management issue, the lack of a holistic framework of different collaborative partners’ characteristics and their different effects on firms’ innovation is becoming a critical research gap. Another intension of our study is to explore the moderating factors that affect the market dissimilarity/technology complementarity—innovation performance relationships. Using the data of collaboration between innovative firms, we tested our hypotheses using partial least squares(PLS). The results show that both market dissimilarity and technology complementarity between collaborative partners relate positively to focal firms’ innovation performance, in terms of both novelty and efficiency,while technology complementarity is more effective. Our results also indicate that IT adoption negatively moderates the relationship between market dissimilarity and collaborative innovation novelty/efficiency,and the relationship between technology complementarity and innovation efficiency, while in terms of the relationship between technology complementarity and innovation novelty, the moderating effect becomes significantly positive. This study extends previous research on collaborative innovation.