An empirical analysis of the economic impact of air pollution
Edward Mateosian
EERI Research Paper Series from Economics and Econometrics Research Institute (EERI), Brussels
Abstract:
We attempt to record the imprint of air pollution on economic growth and vice versa, the tendency of economic growth on air pollution. The variables examined in our study are the Particulate Matter Lower than 2.5 micro, GDP per capita, GDP per working hour, Unemployment, Part of the budget for the health sector, Expenditures for medical care, Average annual temperature and Average annual precipitation. The databases used are OECD and World Bank and the data consist of OECD countries. After specification tests, the methodology consists of three specifications to produce robust results and to compare them consistently: panel data with fixed, random and pooled OLS, Difference and System GMM estimators, and the augmented mean value (AMG) estimator. The result is ambiguous as in some cases pollution seems to have a positive relationship with economic growth and in other cases their relationship is negative. On the contrary, the economic product always has a positive effect on air pollution.
Keywords: Air pollution; economic growth; augmented mean value estimator; panel data. (search for similar items in EconPapers)
JEL-codes: F43 Q52 Q53 (search for similar items in EconPapers)
Date: 2023-06-03
New Economics Papers: this item is included in nep-ene and nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.eeri.eu/documents/wp/EERI_RP_2023_03.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eei:rpaper:eeri_rp_2023_03
Access Statistics for this paper
More papers in EERI Research Paper Series from Economics and Econometrics Research Institute (EERI), Brussels Contact information at EDIRC.
Bibliographic data for series maintained by Julia van Hove ().