4.7 Article

The effects of indigenous R&D activities on China's energy intensity: A regional perspective

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 689, 期 -, 页码 1066-1078

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2019.06.369

关键词

Indigenous R&D; Energy intensity; R&D performers; R&D stages

资金

  1. Sichuan Provincial Science and Technology Plan Project [2017GZ0187, 2017GZ0358]
  2. Key Research Bases for Humanities and Social Sciences of Sichuan Province [SDJJ1619, XYZX2016021]

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One of the most efficient and effective ways to cut energy intensity is through an increase in indigenous R&D activities. In the existing literature on the nexus of indigenous R&D and energy intensity, indigenous R&D activities are discussed as a whole, because they are assumed to be simple and homogeneous. Consequently, no detailed information on how indigenous R&D influences energy intensity can be obtained. In addition, regional imbalances are basically ignored. That may yield generalized results and policy implications for the whole of China but lack relevance for China's different regions. In this paper, the effects of indigenous R&D activities on energy intensity are analyzed by dividing R&D activities into three stages with three performers. The empirical results based on China's provincial data set covering the period 2000-2016 suggest that indigenous R&D is a major tool for cutting energy intensity; however, energy intensity is subject to statistically different effects from R&D activities in different. stages and by different performers. The R&D activities in the experiment. and development. stage play a more important. role in decreasing energy intensity, compared to the other two stages. In addition, R&D activities carried out. by industrial enterprises contribute more to culling energy intensity than those of independent R&D institutions and higher education. In a regional comparison, there is also clear evidence that the regional difference should not. be omitted, suggesting that policy makers should pay more attention to coordinating the energy policies of different. regions to maximize the policies impacts. (C) 2019 Elsevier B.V. All rights reserved.

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