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Environmental Policy Performance and its Determinants: Application of a Three-level Random Intercept Model

Author

Listed:
  • Galeotti, Marzio
  • Rubashkina, Yana
  • Salini, Silvia
  • Verdolini, Elena
Abstract
We propose the use of a three-level random intercept model to measure the degree of environmental policy performance of different countries and to study its determinants. Inspired by the literature on multilevel latent models and Item Response Theory (IRT), this framework treats policy commitment as a latent variable which is estimated conditional on the difficulty of the policy portfolio implemented by each country. We contribute to the study and scoring of environmental and energy policies in three main ways. First, the model results in a ranking of countries which is conditional on the complexity of their chosen policy portfolio. Second, we provide a unified framework in which to construct a policy indicator and to study its determinants through a latent regression approach. The resulting country ranking can thus be cleaned from the effect of economic and institutional observables which affect policy design and implementation. Third, the model estimates parameters which can be used to describe and compare policy portfolios across countries. We apply this methodology to the case of energy efficiency policies in the industrial sectors of 29 EU countries between 2004 and 2011. We conclude by highlighting the future possible applications of this approach, which are not confined to the realm of environmental and energy policy.

Suggested Citation

  • Galeotti, Marzio & Rubashkina, Yana & Salini, Silvia & Verdolini, Elena, 2014. "Environmental Policy Performance and its Determinants: Application of a Three-level Random Intercept Model," Climate Change and Sustainable Development 188379, Fondazione Eni Enrico Mattei (FEEM).
    • Handle: RePEc:ags:feemcl:188379
    DOI: 10.22004/ag.econ.188379
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    Cited by:

    1. Nicolli, Francesco & Vona, Francesco, 2019. "Energy market liberalization and renewable energy policies in OECD countries," Energy Policy, Elsevier, vol. 128(C), pages 853-867.
    2. Galeotti, Marzio & Salini, Silvia & Verdolini, Elena, 2020. "Measuring environmental policy stringency: Approaches, validity, and impact on environmental innovation and energy efficiency," Energy Policy, Elsevier, vol. 136(C).
    3. Marzio Galeotti & Silvia Salini & Elena Verdolini, 2017. "Measuring Environmental Policy Stringency: Approaches, Validity, and Impact on Energy Efficiency," Development Working Papers 412, Centro Studi Luca d'Agliano, University of Milano.
    4. Bellelli, Francesco S. & Scarpa, Riccardo & Aftab, Ashar, 2023. "An empirical analysis of participation in international environmental agreements," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    5. Daniel Armeanu & Georgeta Vintilă & Jean Vasile Andrei & Ştefan Cristian Gherghina & Mihaela Cristina Drăgoi & Cristian Teodor, 2018. "Exploring the link between environmental pollution and economic growth in EU-28 countries: Is there an environmental Kuznets curve?," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-28, May.
    6. Elena Verdolini & Valentina Bosetti, 2017. "Environmental Policy and the International Diffusion of Cleaner Energy Technologies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(3), pages 497-536, March.
    7. Juan J. Martínez Hernández & Patricia S. Sánchez‐Medina & René Díaz‐Pichardo, 2021. "Business‐oriented environmental regulation: Measurement and implications for environmental policy and business strategy from a sustainable development perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 507-521, January.
    8. Cartelle Barros, Juan José & Lara Coira, Manuel & de la Cruz López, María Pilar & del Caño Gochi, Alfredo & Soares, Isabel, 2020. "Probabilistic multicriteria environmental assessment of power plants: A global approach," Applied Energy, Elsevier, vol. 260(C).

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    More about this item

    Keywords

    Environmental Economics and Policy;

    JEL classification:

    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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