Pollution abatement and environmental equity: A dynamic study

Nadezhda Baryshnikova

Journal of Urban Economics, 2010, vol. 68, issue 2, 183-190

Abstract: We study pollution abatement and environmental equity in a dynamic panel model using data for 234 plants in the US pulp and paper industry observed over the period 1985-1997. We suggest a theoretical model for the plant manager who incorporates regulatory pressure into his calculations of optimal amounts of pollution. Assuming actual pollution abatement exhibits a sluggish adjustment process, the theoretical model leads to an empirical AR(1) panel model. We estimate our model using GMM with both "temporally lagged" and "spatially lagged" instruments and find significant evidence supporting the partial adjustment model for both particulate matters less than 10 [mu]m and sulfur dioxide. We find some environmental inequity with respect to the children (under 6 years) and adults with no high school diploma. Our findings show no evidence of environmental inequity against African-Americans, Hispanics, other minority races, or the poor.

Keywords: Pollution; abatement; Environmental; equity; Demographic; composition; Dynamic; panel; Instrumental; variable (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0094-1190(10)00022-7
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Pollution Abatement and Environmental Equity: A Dynamic Study (2010)
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:eee:juecon:v:68:y:2010:i:2:p:183-190

Access Statistics for this article

Journal of Urban Economics is currently edited by S.S. Rosenthal and W.C. Strange

More articles in Journal of Urban Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().