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

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 sim...

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Published inThe Science of the total environment Vol. 689; pp. 1066 - 1078
Main Authors Chen, Changhua, Huang, Junbing, Chang, Huigui, Lei, Hongyan
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.11.2019
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Abstract 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 cutting 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. [Display omitted] •R&D activities are divided into three stages with three performers.•The energy intensity is subject to different effects from different kinds of R&D activities.•There are significant regional differences for the roles of R&D activities played in energy intensity.
AbstractList 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 cutting 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.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 cutting 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.
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 cutting 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.
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 cutting 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. [Display omitted] •R&D activities are divided into three stages with three performers.•The energy intensity is subject to different effects from different kinds of R&D activities.•There are significant regional differences for the roles of R&D activities played in energy intensity.
Author Chen, Changhua
Lei, Hongyan
Chang, Huigui
Huang, Junbing
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Keywords R&D stages
Indigenous R&D
Energy intensity
R&D performers
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Snippet 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...
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SubjectTerms business enterprises
China
data collection
energy
Energy intensity
energy policy
energy use and consumption
higher education
Indigenous R&D
R&D performers
R&D stages
research and development
Title The effects of indigenous R&D activities on China's energy intensity: A regional perspective
URI https://dx.doi.org/10.1016/j.scitotenv.2019.06.369
https://www.ncbi.nlm.nih.gov/pubmed/31466147
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https://www.proquest.com/docview/2305185979
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