Arbeitspapier

A conceptual framework for integrated economic-environmental modelling

Economy-wide models such as Computable General Equilibrium (CGE) Models are powerful tools that provide insights on policy impacts on standard economic indicators. With the recent publication of the System of Environmental-Economic Accounts (SEEA), the power of this approach is amplified. This paper addresses an important gap in economy-wide policy modelling applications and literature by developing a conceptual framework for the integration of the SEEA in the CGE framework, enabling for the first time the analysis of policy impacts on the economy and the environment in a quantitative, comprehensive and consistent framework. Previous integrated modelling efforts have generally focused on the interaction between the economy and one environmental resource in isolation, requiring significant data reconciliation. Integration of SEEA into a CGE circumvents this resource intense process, enhancing analytical power, obviating the need for strong assumptions in reconciling economic-environmental data, reducing start-up costs, and increasing the timeliness of evidence-based policy advice.

Sprache
Englisch

Erschienen in
Series: Documento de Trabajo ; No. 202

Klassifikation
Wirtschaft

Ereignis
Geistige Schöpfung
(wer)
Banerjee, Onil
Cicowiez, Martin
Horridge, Mark
Vargas, Renato
Ereignis
Veröffentlichung
(wer)
Universidad Nacional de La Plata, Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS)
(wo)
La Plata
(wann)
2016

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Banerjee, Onil
  • Cicowiez, Martin
  • Horridge, Mark
  • Vargas, Renato
  • Universidad Nacional de La Plata, Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS)

Entstanden

  • 2016

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