G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Policy Instruments and Incentives for Environmental R&D: A Market-Driven Approach
Johan Albrecht
发表日期1999
出处Economy and Society
出版年1999
语种英语
摘要Environmental policy instruments have an impact on the incentives to invest in environmental R&D and this link should deserve careful consideration when introducing new instruments. Some authors argue that environmental taxes and tradable permits have rather comparable impacts on environmental R&D but we think that only very specific conditions do lead to this kind of conclusions. If we broaden the perspective by integrating elements from the Industrial Organisation literature and depart for Pigouvian settings, a market-driven approach would link the incentive to invest in new technologies to the market potential offered by the policy instruments. If taxes turn out to be very expensive for the polluting or emitting industries, we can assume that these targeted firms would be more interested to invest in new - emission reducing - technologies than in cases where the chosen policy instrument will lead to a very limited cost. We therefore developed a dynamic model that enables to compare the incentives on environmental R&D resulting from taxes, emission trading, voluntary approaches and subsidising environmental R&D. We do not claim to capture all relevant market interactions, but our findings confirm the intuition that environmental taxes have a clearly different impact on environmental R&D compared to emission trading.
特色分类Q28,O31,H23
关键词Research and Development,Environmental policy,Environmental taxes,Emission trading,Voluntary approaches,Market interactions
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/policy-instruments-and-incentives-for-environmental-r-amp-d-a-market-driven-approach/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/116409
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GB/T 7714
Johan Albrecht. Policy Instruments and Incentives for Environmental R&D: A Market-Driven Approach. 1999.
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