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

25 Pages Posted: 4 Nov 2014

See all articles by Marzio Galeotti

Marzio Galeotti

University of Milan - Department of Environmental Science and Policy (ESP); Fondazione Eni Enrico Mattei (FEEM); GREEN - Centre for Research on Geography, Resources, Environment, Energy & Networks

Yana Rubashkina

Catholic University of the Sacred Heart of Milan

Silvia Salini

University of Milan - Department of Business Policy and Economics (DEPA)

Elena Verdolini

University of Brescia - Department of Law; CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici - European Institute onEconomy and the Environment (EIEE)

Multiple version iconThere are 2 versions of this paper

Date Written: October 30, 2014

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.

Keywords: Energy Policy, Environmental Policy, Ranking, Policy Portfolios

JEL Classification: Q58, O57, C33

Suggested Citation

Galeotti, Marzio and Rubashkina, Yana and Salini, Silvia and Verdolini, Elena, Environmental Policy Performance and its Determinants: Application of a Three-Level Random Intercept Model (October 30, 2014). FEEM Working Paper No. 090.2014, Available at SSRN: https://ssrn.com/abstract=2518318 or http://dx.doi.org/10.2139/ssrn.2518318

Marzio Galeotti

University of Milan - Department of Environmental Science and Policy (ESP) ( email )

2 via Celoria
Milano, 20133
Italy
+39-2-50316470 (Phone)
+39-2-50316486 (Fax)

HOME PAGE: http://www.unimi.it/chiedove/cv/ENG/marzio_galeotti.pdf?1531977155891

Fondazione Eni Enrico Mattei (FEEM) ( email )

Corso Magenta 63
Milan, 20123
Italy

HOME PAGE: http://www.feem.it

GREEN - Centre for Research on Geography, Resources, Environment, Energy & Networks ( email )

via Rontgen
Milan, 20123
Italy

HOME PAGE: http://https://www.green.unibocconi.eu

Yana Rubashkina

Catholic University of the Sacred Heart of Milan ( email )

Milan, Milan
Italy

Silvia Salini

University of Milan - Department of Business Policy and Economics (DEPA) ( email )

Milano, I-20122
Italy

Elena Verdolini (Contact Author)

University of Brescia - Department of Law ( email )

50 via Delle Battaglie
25122 Brescia BS
Italy

HOME PAGE: http://https://www.2d4d.eu/about-elena/

CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici - European Institute onEconomy and the Environment (EIEE) ( email )

Via Bergognone 34
Milan
Italy

HOME PAGE: http://https://www.2d4d.eu/about-elena/

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