Environmental Kuznets Curve for Water Quality Parameters at Global Level
Krishna P. Paudel,
C.-Y. Cynthia Lin Lawell and
Mahesh Pandit
No 162618, 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas from Southern Agricultural Economics Association
Abstract:
We examine the relationship between income and water pollutants using country-level global water quality data over the period 1980 to 2012. We include civil liberties and political rights in addition to income as explanatory variables. We use recent advances in econometric techniques to address the inclusion of continuous and discrete variables in nonparametric instrumental variable regression models. Results indicate an inverted U-shape relationship between income and pollution for one pollutant (lead) and a cubic shape for three pollutants (nickel, mercury and arsenic). In general, we find that improved civil liberties and political rights are correlated with better water quality. By estimating a nonparametric relationship between political variables and pollution and by accounting for the categorical nature of the political variables, we are able to detect a nonlinear relationship between political variables and pollution, which for some pollutants is an inverted U-shaped curve.
Keywords: Environmental Economics and Policy; Research Methods/ Statistical Methods (search for similar items in EconPapers)
Pages: 30
Date: 2014-01
New Economics Papers: this item is included in nep-env and nep-res
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/162618/files/P ... dit_SAEA%20paper.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:ags:saea14:162618
DOI: 10.22004/ag.econ.162618
Access Statistics for this paper
More papers in 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas from Southern Agricultural Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().