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Brown Sunsets and Green Dawns in the Industrial Sector: Environmental Innovations, Firm Behavior and the European Emission Trading

Author

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  • Simone Borghesi

    (Department of Law, Economics and Government, University of Siena)

  • Giulio Cainelli

    (Department of Economics, University of Padova)

  • Massimiliano Mazzanti

    (Department of Economics, Institutions and Territory, University of Ferrara)

Abstract

We study the driving forces behind the adoption of environmental innovations (EI) in the Italian industry over 2006-2008 through analyses of the new wave of Community Innovation Survey (CIS) data that covered for the first time environmental innovation adoptions. We investigate whether the first phase of EU ETS has exerted some effects on environmental innovations by using a very large sample of italian manufcturing firms. Estimates show that external forces and complementarity with other management practices are particularly relevant to increase the adoption of relatively new and radical technologies: relationships with other firms and institutions, local public funding, group membership are the key factors. The role of ETS on EI seems instead to be weak: it drives innovation if we compare ETS and non ETS firms, but the stringency itself does not matter, due to sector idiosyncratic factors and to the fact that stability of policy also matters.

Suggested Citation

  • Simone Borghesi & Giulio Cainelli & Massimiliano Mazzanti, 2012. "Brown Sunsets and Green Dawns in the Industrial Sector: Environmental Innovations, Firm Behavior and the European Emission Trading," Working Papers 2012.03, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2012.03
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    3. Germà Bel & Stephan Joseph, 2015. "“Certificate Oversupply in the European Union Emission Trading System and its Impact on Technological Change”," IREA Working Papers 201520, University of Barcelona, Research Institute of Applied Economics, revised Sep 2015.
    4. Shi, Beibei & Feng, Chen & Qiu, Meng & Ekeland, Anders, 2018. "Innovation suppression and migration effect: The unintentional consequences of environmental regulation," China Economic Review, Elsevier, vol. 49(C), pages 1-23.
    5. Giovanni Ferri & Marco Pini, 2019. "Environmental vs. Social Responsibility in the Firm. Evidence from Italy," Sustainability, MDPI, vol. 11(16), pages 1-20, August.
    6. Mitsutsugu Hamamoto, 2021. "Impact of the Saitama Prefecture Target-Setting Emissions Trading Program on the adoption of low-carbon technology," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(3), pages 501-515, July.
    7. Angelo Antoci & Simone Borghesi & Mauro Sodini, 2012. "ETS and Technological Innovation: A Random Matching Model," Working Papers 2012.79, Fondazione Eni Enrico Mattei.
    8. Jian-Lei Mo & Lei Zhu, 2014. "Using Floor Price Mechanisms to Promote Carbon Capture and Storage (Ccs) Investment and Co2 Abatement," Energy & Environment, , vol. 25(3-4), pages 687-707, April.
    9. Patricia Laurens & Christian Le Bas & Stéphane Lhuillery & Antoine Schoen, 2017. "The determinants of cleaner energy innovations of the world’s largest firms: the impact of firm learning and knowledge capital," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(4), pages 311-333, May.
    10. Mitsutsugu Hamamoto, 2019. "Impact of the Saitama Prefecture Target-Setting Emissions Trading Program on the Adoption of Low-Carbon Technology," RIEEM Discussion Paper Series 1909, Research Institute for Environmental Economics and Management, Waseda University.
    11. Ralf Martin & Mirabelle Muûls & Ulrich J. Wagner, 2016. "The Impact of the European Union Emissions Trading Scheme on Regulated Firms: What Is the Evidence after Ten Years?," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(1), pages 129-148.

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    More about this item

    Keywords

    Environmental Innovation; Industrial Sectors; ETS; Innovation Drivers; CIS Data;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q38 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Government Policy (includes OPEC Policy)
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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