Assessing temporal trends and industry contributions to air and water pollution using stochastic dominance

Elettra Agliardi, Mehmet Pinar and Thanasis Stengos

Working Papers from Dipartimento Scienze Economiche, Universita' di Bologna

Abstract: We employ a stochastic dominance (SD) approach to analyze the components that contribute to environmental degradation over time. The variables that are considered include countries greenhouse gas (GHG) emissions and water pollution. Our approach is based on pair-wise SD tests. First, we study the dynamic progress of each separate variable over time, from 1990 to 2005, within 5-year horizons. Then, pair-wise SD tests are used to study the major industry contributors to the overall GHG emissions and water pollution at any given time, to uncover the industry which contributes the most to total emissions and water pollution. We find that CO2 emissions not only contribute the most to the GHG emissions over time, but also increased within 15 year in the first-order SD sense. On the other hand, water pollution increased in a second-order SD sense. Pair-wise industry comparisons suggest that the major industry contributors to the CO2 emissions have always been the electricity and heat production sectors, while the transport sector has been the second contributor between 1990 and 2005. Finally, the food industry gradually became the major contributing industry for water pollution over time.

JEL-codes: C14 C4 C5 Q01 Q5 Q51 (search for similar items in EconPapers)
Date: 2014-12
New Economics Papers: this item is included in nep-agr, nep-ene, nep-env and nep-res
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://amsacta.unibo.it/4125/1/WP981.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:bol:bodewp:wp981

Access Statistics for this paper

More papers in Working Papers from Dipartimento Scienze Economiche, Universita' di Bologna Contact information at EDIRC.
Bibliographic data for series maintained by Dipartimento Scienze Economiche, Universita' di Bologna ().