Industrial and Agricultural Pollution Patterns
Don Clark and
Alejandro Dellachiesa ()
Global Economy Journal, 2013, vol. 13, issue 1, 1-24
Abstract:
Abstract: Industrial and agricultural pollution emissions are compared with levels of economic activity as countries move up the per capita income scale. Pollution emissions are found to be concentrated among the lower income countries. Industrial CH4 and both agricultural CH4 and N2O emissions display the highest degrees of concentration among poorer countries relative to their GDP shares. Agricultural CH4 and N2O emissions are more concentrated among the poorer countries than are industrial CH4 and N2O emissions. Little improvement in environmental quality will result from implementing costly emissions reductions in the industrial nations alone. Environmental policies must focus on lower- and middle-income countries. More attention must be devoted to reducing agricultural pollution emissions. Improving the economic activity–environmental tradeoff will require a global approach to reducing greenhouse gases.
Keywords: agricultural and industrial pollution emissions; cross-country pollution patterns; environmental policy; trade and the environment (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1515/gej-2012-0006 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:glecon:v:13:y:2013:i:1:p:1-24:n:1
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/gej/html
DOI: 10.1515/gej-2012-0006
Access Statistics for this article
Global Economy Journal is currently edited by Jannett Highfill
More articles in Global Economy Journal from De Gruyter
Bibliographic data for series maintained by Peter Golla ().