Dynamic environmental performance analysis: A Malmquist index approach

Kortelainen, Mika

doi:10.1016/j.ecolecon.2007.08.001

Cited by 209 publications

(102 citation statements)

References 47 publications

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“…As a contribution of our paper to previous literature, we measure eco-efficiency in GHG emissions using the recent approach developed by Picazo-Tadeo et al (2012) which, based on Data Envelopment Analysis (DEA) techniques and the computation of the so-called directional distance functions, allows considering several GHG in the computation of the eco-efficiency ratio, and more interestedly, assesses eco-efficiency at country and greenhouse-gas-specific emissions level. Previously, Kortelainen (2008) analyzed global eco-efficiency computing a composite indicator at country-level for 20 European Union members; beyond this analysis, here we contribute an evaluation of eco-efficiency at both country and air pollutant levels.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2013

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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 by politicians, scientists and academics. Furthermore, greenhouse gases emitted as a result of production processes have a heavy impact in the environment and also are the foremost responsible of global warming and climate change. This paper assesses convergence in eco-efficiency from greenhouse gas emissions in the European Union (EU). 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. (2012). Then, convergence is evaluated using the Phillips and Sul (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 conformed of core EU 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, Greece) together with some Eastern countries (Latvia, Slovenia) and the rest of clubs consists of groups containing Eastern European countries.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2013

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“…Eco-efficiency is generally defined as the ratio of the economic value of goods and services that satisfy human needs to environmental burden [3][4][5]. However, Kortelainen [6] defines the eco-efficiency as the ratio of added value to the environmental detrimental inputs. Additionally, environmental efficiency is commonly defined as the ratio of minimum feasible environmental damage to the observed level of inputs [7,8].…”

Section: Introductionmentioning

confidence: 99%

Environmental Efficiency and Its Determinants for Manufacturing in China

2016

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Abstract:In this study, we analyze the environmental efficiency performance and its determinants of 29 manufacturing industries in China from 2006 to 2011 by employing a two-stage DEA (data envelopment analysis)-Tobit model. For providing comparative and robust evidence, the 29 manufacturing industries are classified into three groups based on the pollution intensity. In the first stage, a SBM (slacks-based measure)-DEA model is applied to assess economic efficiency and environmental efficiency scores to illustrate the effects of the environmental factors, while taking into consideration the undesirable output. In the second stage, utilizing these calculated environmental efficiency scores as dependent variables, we employ a Tobit regression model to study the determinants of the environmental efficiency by selecting three independent variables including the industry scale, the openness degree and the energy structure. It turns out that the environmental factors have a positive effect on the lightly polluted industries and a negative effect on the moderately polluted industries, the heavily polluted industries, and the overall industries, while the openness degree, the industry scale, and the energy structure can be effective measures to improve environmental efficiency. Based on these findings, we propose policy measures to enhance the environmental efficiency of manufacturing in China.

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“…Due to the importance of high-emission and low-efficiency industries by classifying industries into four types according to "emissions-efficiency" characteristics, improving energy utilization efficiency is most vital in affecting carbon productivity in Tianjin, China [13]. Third, on the country level, environmental technical change mostly explains the improvement in overall carbon productivity for 20 member countries of the European Union from 1990 to 2003 [14]. A three-dimensional absolute decomposition model was utilized to analyze changes of carbon productivity in China [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure

Zhang

2016

Sustainability

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This research aims to study the main influencing factors of China's industrial carbon productivity by incorporating environmental regulation and technical progress into an econometric model. The paper focuses on data from 35 of China's industrial sectors and covers the period from 2006 to 2014, in order to examine the impact of environmental regulation and technical progress on carbon productivity. Methods applied include panel fixed effect model, panel random effect model and two stage least squares with instrumental variables (IV-2SLS). The effect of environmental regulation and technical progress has industrial heterogeneity. The paper subdivides industrial sectors into capital and technology intensive, resource intensive and labor intensive sectors according to factor intensiveness. The estimation results of the subgroups have uncovered that for capital and technology intensive and resource intensive sectors, environmental regulation has a more significant impact than technical progress; while for labor intensive sectors, innovation more significantly influences carbon productivity. In addition, foreign direct investment (FDI) and industrialization level facilitate improving carbon productivity for the full sample. By contrast, industrial structure inhibits the overall industrial carbon productivity. The industry-specific results indicate that for capital and technology intensive sectors, optimizing of the industrial structure can improve carbon productivity; for resource intensive sectors, FDI and energy consumption structure should be emphasized more; for labor intensive sectors, industrialization levels help enhance carbon productivity. Finally the industrial sector-specific policy suggestions are proposed.

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Dynamic environmental performance analysis: A Malmquist index approach

Cited by 209 publications

References 47 publications

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

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

Environmental Efficiency and Its Determinants for Manufacturing in China

Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure

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