Land capital and emissions convergence in an extended Green Solow model

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Título: Land capital and emissions convergence in an extended Green Solow model
Autor/es: Guillo, Maria Dolores | Magalhães, Manuela
Grupo/s de investigación o GITE: Desarrollo, Métodos Cuantitativos y Teoría Económica (DMCTE)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Fundamentos del Análisis Económico
Palabras clave: Green-Solow | Enhanced Vegetation Index | Natural capital | Convergence | CO2 emissions
Área/s de conocimiento: Fundamentos del Análisis Económico
Fecha de publicación: 28-jun-2022
Editor: Cambridge University Press
Cita bibliográfica: Environment and Development Economics. 2023, 28(1): 25-46. https://doi.org/10.1017/S1355770X22000110
Resumen: The main purpose of this paper is to analyze the contribution of land capital to the growth of emissions and income per capita in the long run. We collect new satellite data from the Earth Observatory to obtain estimates of the Enhanced Vegetation Index at the country level for the period 2000–2015. We use these data and the World Bank wealth estimates of natural capital to calibrate and empirically test an extension of the Green Solow model with land degradation and land capital investment. We show that the model is consistent with the cross-country variation in growth rates of carbon emissions per capita and find that there is convergence at the global level, with the contribution of land capital investment to the growth of emissions being negative and significant in all specifications.
Patrocinador/es: We gratefully acknowledge partial financial support from the Spanish government and FEDER funds under projects PGC2018-093542-B-I00, PID2019-111208GB-I00, and PID2019-107161GB-C33, from the Generalitat Valenciana under AICO/2019/295, and from the Fundação para a Ciência e Tecnologia under the Project UIDB/04007/2020. Open Access funding provided by the Public University of Navarre.
URI: http://hdl.handle.net/10045/124816
ISSN: 1355-770X (Print) | 1469-4395 (Online)
DOI: 10.1017/S1355770X22000110
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © The Author(s), 2022. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Revisión científica: si
Versión del editor: https://doi.org/10.1017/S1355770X22000110
Aparece en las colecciones:INV - DMCTE - Artículos de Revistas

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