Knowledge spillover effect on technology innovation in Guangdong Province based on spatial measurement

2016 ◽  
Vol 33 (4) ◽  
pp. 367 ◽  
Author(s):  
Jie Duan ◽  
Xianjun Huang
2021 ◽  
Vol 13 (13) ◽  
pp. 7499
Author(s):  
Zongyu Mu ◽  
Yuangang Zheng ◽  
Hao Sun

The potential broad market of green consumption has encouraged an increasing number of enterprises to carry out green technology innovation activities. This paper examines a two-stage supply chain of e-commerce sales channels under different cooperative models. We find that consumers’ green preferences are the main factor that affects green product market demand. The manufacturer and the retailer can raise the levels of green technology innovation and extend green promotional services to expand product market demand in online and offline channels. However, consumers’ e-commerce preferences and online free-riding behaviors affect the manufacturer’s sales channel choice. The retailer can improve the level of green promotional services to hold offline channel market demand, while promotional behaviors have a positive/negative spillover effect on online market demand if the level of free riding falls above/below consumers’ e-commerce preferences. The higher the cooperative level is, the later the manufacturer will open the online channel and close the offline channel to ensure a high level of green promotional service from the cooperative retailer. The results show that the stronger the level of cooperation among all members is, the better the economic, ecological, and social benefits will be. Therefore, we design a revenue-cost sharing contract that can effectively motivate green technology innovation and green promotional services and afford all members win-win profits.


2012 ◽  
Vol 472-475 ◽  
pp. 2910-2913
Author(s):  
Yong Ye ◽  
Shao Wen Li ◽  
Gui Gen Miao

GSCM and its members of sharing resources generate knowledge spillover phenomenon within innovation activities.Considering the scarcity and publicity characteristics of knowledge,it puts forwards the driving factors including knowledge sharing cognition,technology gap, the economy and geography space, spill risk control and spill achievements’compensation.According to supply chain benefit coordination problem,it adds members’ participation and contribution factor for Shapley amendment model.Then it verifies rationality of the model by empirical analysis,which would be helpful for further knowledge spillovers benefit evaluation and compensation mechanism research.


Author(s):  
Ayano Fujiwara ◽  
Toshiya Watanabe

This study empirically analyzes effective conditions for cross-border “learning by hiring” in the electronics industry. Many previous studies have indicated that the mobility of engineers serves as a conduit for knowledge diffusion and that knowledge is more likely transferred when the geographical distance is short, that is, when the conduit is short. However, the relationship between conduit thickness and density and the knowledge spillover effect has only rarely discussed. The findings of this study suggest that it is more effective to hire multiple people simultaneously for learning by hiring from companies in other countries.


Author(s):  
Carla Martínez-Climent ◽  
Leonardo Mastrangelo ◽  
Domingo Ribeiro-Soriano

2021 ◽  
pp. 1-6
Author(s):  
Zhu Yan ◽  
Aoran Wang ◽  
Weiwei Shao ◽  
Yanni Zeng

2021 ◽  
Vol 248 ◽  
pp. 02029
Author(s):  
Wu Min

This paper uses two-stage super efficiency network SBM DEA model to calculate the efficiency of green technology innovation, and analyzes the spillover effect of three different environmental regulations, namely command control, market incentive and independent participation. The results show that the direct effect of the command control environmental regulation on the efficiency of green technology innovation is positive, the indirect effect and the total effect are negative; the direct effect, indirect effect and total effect of market incentive environmental regulation and independent participation Environmental Regulation on the efficiency of green technology innovation are positive.


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