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Erschienen in: Empirical Economics 1/2014

01.08.2014

Is eco-efficiency in greenhouse gas emissions converging among European Union countries?

verfasst von: Mariam Camarero, Juana Castillo-Giménez, Andrés J. Picazo-Tadeo, Cecilio Tamarit

Erschienen in: Empirical Economics | Ausgabe 1/2014

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Abstract

Eco-efficiency refers to the ability to produce more goods and services with less impact on the environment and less consumption of natural resources. This issue has become a matter of concern that is receiving increasing attention from politicians, scientists and researchers. Furthermore, greenhouse gases emitted as a result of production processes have a marked impact on the environment and are also the foremost culprit of global warming and climate change. This paper assesses convergence in eco-efficiency in greenhouse gas emissions in the European Union. Eco-efficiency is assessed at both country and greenhouse-gas-specific levels using Data Envelopment Analysis techniques and directional distance functions, as recently proposed by Picazo-Tadeo et al. (Eur J Oper Res, 220:798–809, 2012). Convergence is then evaluated using the Phillips and Sul (Econometrica, 75:1771–1855, 2007) approach that allows testing for the existence of convergence groups. Although the results point to the existence of different convergence clubs depending on the specific pollutant considered, they signal the existence of at least four clear groups of countries. The first two groups are core European Union high-income countries (Benelux, Germany, Italy, Austria, the United Kingdom and Scandinavian countries). A third club is made up of peripheral countries (Spain, Ireland, Portugal and Greece) together with some Eastern countries (Latvia and Slovenia), while the remaining clubs consist of groups containing Eastern European countries.

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Fußnoten
1
The article 2 of UNFCCC, an international environmental treaty promoted in 1992 by the United Nations and currently signed by 194 parties, states that ‘\({\ldots }\) The ultimate objective of this Convention and any related legal instruments \({\ldots }\) is to achieve stabilisation of greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference with the climate system. Such a level should be achieved within a time-frame sufficient \({\ldots }\) to enable economic development to proceed in a sustainable manner’.
 
2
The core of the package comprises four pieces of complementary legislation. Revision and strengthening of the EU Emissions Trading System (ETS), with a progressive replacement of free allocation of allowances by auctioning, and an extension of the system to new economic activities and gases; the so-called Effort Sharing Decision that establishes binding greenhouse gas emission targets for sectors not included in the ETS; binding national targets for renewable energy; and, finally, a legal framework to promote the development and safe use of carbon capture and storage.
 
3
This package implemented the 20–20–20 targets endorsed by European leaders in 2007, according to which by 2020 there should be a reduction of 20 % in GHG emissions compared with 1990, a share of 20 % of renewables in energy consumption, and energy improvement by 20 %.
 
4
Accessed on \(25\)th February 2012 through http://​dataservice.​eea.​europa.​eu
 
5
Although \(\hbox {CO}_{2}, \hbox {CH}_{4}\) and \(\hbox {N}_{2}\hbox {O}\) occur naturally, human activities have changed their concentrations in the atmosphere. According to the International Panel for Climate Change (IPCC 2007), between the pre-industrial era (ending about 1750) and 2005, concentrations of these GHG have increased globally by 36, 148 and 18 %, respectively.
 
6
Accessed on \(25\)th February 2012 through http://​databank.​worldbank.​org
 
7
Färe and Grosskopf (2000) summarise the theory and applications of directional distance functions, while Picazo-Tadeo et al. (2005) analyse their utility in the assessment of environmental performance.
 
8
Further scenarios assessing, for instance, potential increases in GDP while maintaining GHG emissions or even increases in GDP at the same time as emissions are reduced can be modelled by the appropriate directional distance functions. However, modelling these scenarios goes beyond the scope of this paper.
 
9
In addition, one advantage of DEA techniques over other approaches commonly used to build composite indicators is that the weights assigned to individual GHG emissions in computing the aggregated emission score are determined endogenously (see Cherchye et al. 2007), so no a priori weights based on exogenous information are required, e.g. opinion of experts.
 
10
This virtual eco-efficient observation results from a combination of observations on Malta, Luxembourg and Sweden, with weightings 4.676, 0.365 and 0.158, respectively.
 
11
This important improvement in eco-efficiency in the UK was also found by Kortelainen (2008), who assesses the global eco-efficiency of 20 European Union countries over the period 1990–2003. This study uses data from the European Environmental Agency on the emissions of 12 pollutants representing four different environmental pressure categories, including carbon dioxide, nitrogen oxides and methane, among others. Furthermore, in a comparative analysis of Finland and the UK for the period 1990–2006, Marrero (2010) found that starting from the same 1990 level, and having experienced similar economic growth, by 2006 the UK had lowered its GHG emissions to a much greater extent than Finland. Thus, given that a similar extent of eco-efficiency improvement has also been found by other researchers, it would be interesting to investigate the determinants of this particular behaviour in the UK as a case study; however, this issue goes beyond the scope of this paper.
 
12
The data on the structure of productive activity come from AMECO, the annual macro-economic database of the European Commission’s Directorate General for Economic and Financial Affairs; they have been accessed on \(19\)th July 2012 through http://​ec.​europa.​eu/​economy_​finance/​db_​indicators/​ameco.
 
13
It is worth to highlight here that dozens of papers in the field of efficiency and productivity measurement have addressed the assessment of performance at macro level using aggregate data from regions or countries (Färe et al. 1994; Lovell et al. 1995). Moreover, most of this research is specifically focused on the study of environmental performance (Zofio and Prieto 2001; Zhou et al. 2006, 2007) and even eco-efficiency (Kortelainen 2008).
 
14
Countries’ production structures are largely determined by their relative endowment of productive resources, as well as the patterns of demand; for instance, large coastlines and favourable climatic conditions have fostered specialisation in tourism in Mediterranean European countries such as Spain. Notwithstanding, trade and increasing foreign direct investment liberalisation might favour the reallocation of polluting activities from industrial countries to developing countries with lower environmental standards (pollution haven hypothesis).
 
15
As previously noted, Marrero (2010) singles out the comparative case of the UK and Finland. Even though both economies recorded similar emission levels in 1990 and had a comparable growth rate over the sample period analysed (1990–2006), the UK lowered its emissions to a much greater extent than Finland.
 
16
Despite the algorithm finding 5 clubs in the case of \(\hbox {N}_{2}\hbox {O}\), in club 4 the hypothesis of convergence must be rejected. Thus, these countries do not converge and, in fact, there are just 4 groups.
 
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Metadaten
Titel
Is eco-efficiency in greenhouse gas emissions converging among European Union countries?
verfasst von
Mariam Camarero
Juana Castillo-Giménez
Andrés J. Picazo-Tadeo
Cecilio Tamarit
Publikationsdatum
01.08.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Empirical Economics / Ausgabe 1/2014
Print ISSN: 0377-7332
Elektronische ISSN: 1435-8921
DOI
https://doi.org/10.1007/s00181-013-0734-1

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