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Technological innovation evolution and industrial modernization driven by green factors: Case of combined heat and power (CHP) industry in Yangtze River Delta, China

China’s Yangtze River Delta region has banned the approval of new thermal power projects except for combined heat and power (CHP) generation and is promoting technological innovation in CHP. However, technological innovation of energy technology has been evidenced to be often affected by spatial elements. The role of spatial agglomeration in the energy industry on technological innovation has not been discussed in the context of CHP. Therefore, this article studied the spatial agglomeration and evolution characteristics of CHP technological innovation point elements through the Global Moran's index, kernel density analysis, and thermal map analysis and analyzed the influencing factors and changes by the spatial regression model. The results show that environmental regulation and high-tech park agglomeration are the key factors influencing CHP technological innovation. This indicates that future policy making needs to consider the economic factors of green development and the role of high-tech parks in innovation.
- Wuhan Polytechnic University China (People's Republic of)
- School for Continuing Education Switzerland
- China Foreign Affairs University China (People's Republic of)
- Wuhan Polytechnic University China (People's Republic of)
- Erciyes University Turkey
China, Moran’s I, economics, innovation, Environmental sciences, high-tech parks, GE1-350, combined heat and power
China, Moran’s I, economics, innovation, Environmental sciences, high-tech parks, GE1-350, combined heat and power
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
