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Foreign versus indigenous innovation and energy intensity: Further research across Chinese regions
handle: 10234/158993
The aim of this work is to analyze the role played by both foreign and indigenous innovation on energy intensity as well as the possible interactions between them across 30 Chinese regions. In addition, we disaggregate non-state investment into the different types of corporate ownership that operate in China, controlling for other relevant factors such as energy price and the share of industry. We examine not only total energy intensity, but also coal, crude oil, natural gas, and electricity in order to provide a complete picture of the energy sector in this country. The empirical model is estimated by panel-corrected standard errors over the period 2006-2010. Our findings indicate that the process of technological change through both foreign and indigenous innovation has been an important mechanism to improve the use of energy resources. However, the interaction between foreign and indigenous innovations is modest. We also observe that non-state investment plays a key role in reducing energy intensity, although both the specific type of ownership and the source of energy also matter. A closer look at regional differences among the transmission grids in China reveals the importance of accounting for the structure of investment and its geographical location. Spanish Ministerio de Ciencia e Innovación (ECO2011-28155/ECON) and Pla de Promoció de la Investigació Fundació Caixa Castelló-Bancaixa (P1.1B2013-22)
- University of Birmingham United Kingdom
- Jaume I University Spain
- Nottingham Trent University United Kingdom
- Peterson Institute for International Economics United States
Indigenous and foreign innovation, Investment ownership, Chinese regions, Energy intensity, Technology transfer
Indigenous and foreign innovation, Investment ownership, Chinese regions, Energy intensity, Technology transfer
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).71 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 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 17 download downloads 58 - 17views58downloads
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