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Impact of domestic energy-efficiency policies on foreign innovation: The case of lighting technologies

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  • Kim, Yeong Jae
  • Brown, Marilyn

Abstract

Fostering the global development of low-carbon technology is crucial to mitigating greenhouse gas emissions. This paper analyzes the effect of energy-efficiency policies on lighting patenting between 1992 and 2007, using data for 19 OECD countries. We examine levels of energy-efficiency RD&D expenditures (representing a technology-push approach) and the stringency of energy-efficiency performance standards (representing a demand-pull approach). We find strong correlational evidence that both domestic demand-pull and technology-push policies positively affect domestic lighting patenting. We also provide strong correlational evidence that the demand-pull policy positively affects foreign lighting patenting; however, the technology-push policy does not. These findings suggest that demand-pull policies can help to transform international markets for low-carbon technology innovation, and they underscore the importance of the often-overlooked international dimension of domestic energy-efficiency policies. To the extent that our findings are generalizable, our research suggests that governance processes that strengthen energy performance standards and steady investment in RD&D could spur energy innovation in industrialized nations across the world.

Suggested Citation

  • Kim, Yeong Jae & Brown, Marilyn, 2019. "Impact of domestic energy-efficiency policies on foreign innovation: The case of lighting technologies," Energy Policy, Elsevier, vol. 128(C), pages 539-552.
  • Handle: RePEc:eee:enepol:v:128:y:2019:i:c:p:539-552
    DOI: 10.1016/j.enpol.2019.01.032
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    3. Aïd, René & Bahlali, Mohamed & Creti, Anna, 2023. "Green innovation downturn: The role of imperfect competition," Energy Economics, Elsevier, vol. 123(C).
    4. Yang, Hao-Chang & Feng, Gen-Fu & Zhao, Xin Xin & Chang, Chun-Ping, 2022. "The impacts of energy insecurity on green innovation: A multi-country study," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 139-154.
    5. Cheng, Yuanyuan & Yao, Xin, 2021. "Carbon intensity reduction assessment of renewable energy technology innovation in China: A panel data model with cross-section dependence and slope heterogeneity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    6. Che, Xiao-Jing & Zhou, P. & Wang, M., 2022. "The policy effect on photovoltaic technology innovation with regional heterogeneity in China," Energy Economics, Elsevier, vol. 115(C).
    7. Wu, Yi-Hua & Liu, Chia-Hao & Hung, Ming-Lung & Liu, Tzu-Yar & Masui, Toshihiko, 2019. "Sectoral energy efficiency improvements in Taiwan: Evaluations using a hybrid of top-down and bottom-up models," Energy Policy, Elsevier, vol. 132(C), pages 1241-1255.
    8. Samant, Shantala & Thakur-Wernz, Pooja & Hatfield, Donald E., 2020. "Does the focus of renewable energy policy impact the nature of innovation? Evidence from emerging economies," Energy Policy, Elsevier, vol. 137(C).
    9. Gongli Luo & Xiaotong Wang & Lu Wang & Yanlu Guo, 2021. "The Relationship between Environmental Regulations and Green Economic Efficiency: A Study Based on the Provinces in China," IJERPH, MDPI, vol. 18(3), pages 1-17, January.
    10. Alexander Melnik & Kirill Ermolaev, 2020. "Strategy Context of Decision Making for Improved Energy Efficiency in Industrial Energy Systems," Energies, MDPI, vol. 13(7), pages 1-28, March.
    11. Ming Yi & Yiqian Wang & Modan Yan & Lina Fu & Yao Zhang, 2020. "Government R&D Subsidies, Environmental Regulations, and Their Effect on Green Innovation Efficiency of Manufacturing Industry: Evidence from the Yangtze River Economic Belt of China," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    12. Stefan M. Buettner, 2022. "Roadmap to Neutrality—What Foundational Questions Need Answering to Determine One’s Ideal Decarbonisation Strategy," Energies, MDPI, vol. 15(9), pages 1-24, April.

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    More about this item

    Keywords

    Q55; Q54; O33; Economics of Innovation; International Technology Diffusion; Negative Binomial Model;
    All these keywords.

    JEL classification:

    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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