Loading...
Publication
Evaluating environmental efficiency: A DEA-Based Analysis of sectoral contributions to GHG emissions
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| Possível publicação de artigo científico | 1.33 MB | Adobe PDF |
Authors
Abstract(s)
A presente dissertação avalia a eficiência ambiental de 33 países da OCDE no período
2000 a 2023, utilizando uma estrutura analítica de duas etapas, incluindo uma Análise
Envoltória de Dados (DEA), orientada a inputs, e Modelos de Regressão Fracionária de
uma e duas partes. Esta investigação contribui para a literatura sobre desenvolvimento
sustentável e avaliação de eficiência, oferecendo uma análise abrangente entre países e
setores de atividade. Os setores selecionados foram obtidos do Banco de Dados de
Emissões para Investigação Atmosférica Global (EDGAR), incluindo Agricultura,
Energia (Exploração de Combustíveis, Indústria de Energia, Edifícios e Transportes),
Indústria (Combustão Industrial e Processos Industriais) e Resíduos. Os resultados
fornecem informações para que reguladores possam implementar melhores práticas com
vista à melhoria do desempenho ambiental, especialmente através de intervenções
direcionadas aos setores mais intensivos em emissões e tendo em conta os efeitos
macroeconómicos.
This dissertation evaluates the environmental efficiency of 33 OECD countries from 2000 to 2023 using a two-stage analytical framework, including an input-oriented Data Envelopment Analysis (DEA) and One-part and Two-part Fractional Regression Models (FRMs). This research contributes to the growing body of literature on sustainable development and efficiency evaluation by offering a comprehensive cross-country and sectoral analysis. The selected sectors were obtained from the Emissions Database for Global Atmospheric Research (EDGAR), including Agriculture, Energy (Fuel Exploitation, Power Industry, Buildings and Transport), Industry (Industrial Combustion and Industrial Processes) and Waste. The findings provide insights for policymakers aiming to improve environmental performance, particularly through targeted action in emission-intensive sectors and by considering macroeconomic effects.
This dissertation evaluates the environmental efficiency of 33 OECD countries from 2000 to 2023 using a two-stage analytical framework, including an input-oriented Data Envelopment Analysis (DEA) and One-part and Two-part Fractional Regression Models (FRMs). This research contributes to the growing body of literature on sustainable development and efficiency evaluation by offering a comprehensive cross-country and sectoral analysis. The selected sectors were obtained from the Emissions Database for Global Atmospheric Research (EDGAR), including Agriculture, Energy (Fuel Exploitation, Power Industry, Buildings and Transport), Industry (Industrial Combustion and Industrial Processes) and Waste. The findings provide insights for policymakers aiming to improve environmental performance, particularly through targeted action in emission-intensive sectors and by considering macroeconomic effects.
Description
Keywords
Environmental efficiency OECD DEA FRM