期刊
ENERGY ECONOMICS
卷 63, 期 -, 页码 106-115出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.eneco.2017.01.014
关键词
Technological innovation; Air pollution; Thermal power plant; Directional distance function model; Patent stock
类别
资金
- Ministry of Education, Culture, Sports, Science and Technology
- Ministry of the Environment, Government of Japan [S15]
- [26000001B]
- Grants-in-Aid for Scientific Research [17K12858] Funding Source: KAKEN
This paper explores the relationship between environmental regulation, innovation, and competitiveness using environmental patent data. The analysis is conducted in two stages. First, a non-parametric frontier analysis is implemented to estimate efficiency scores, including a measure of technological innovation based on patent stocks. Second, econometric methods are applied to analyse the role of policy stringency and policy design on efficiency. Our estimation sample covers thermal power plant sectors in 20 countries from 1990 to 2009. The results show that the stringency of environmental regulations is a significant determinant of productive efficiency with respect to pollutant emissions as well as fuel use. However, these effects turn negative once the level of stringency leaps over a certain threshold. In addition, the paper concludes that the positive effect of regulatory stringency can be diminished by a negative effect of regulatory differentiation with measures which vary in stringency across plant size and age having negative consequences, and these effects are increasing over time. Finally, it is found that integrated approaches to environmental innovation are more likely to bring about efficiency improvements than end-of-pipe technologies. (C) 2017 Elsevier B.V. All rights reserved.
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