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

Agliardi, Elettra ; Pinar, Mehmet ; Stengos, Thanasis (2014) Assessing temporal trends and industry contributions to air and water pollution using stochastic dominance. Bologna: Dipartimento di Scienze economiche DSE, p. 27. DOI 10.6092/unibo/amsacta/4125. In: Quaderni - Working Paper DSE (981). ISSN 2282-6483.
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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.

Abstract
Document type
Monograph (Working Paper)
Creators
CreatorsAffiliationORCID
Agliardi, Elettra
Pinar, Mehmet
Stengos, Thanasis
Keywords
Environmental degradation, Emissions, Water pollution, Stochastic dominance
Subjects
ISSN
2282-6483
DOI
Deposit date
03 Dec 2014 13:07
Last modified
16 Mar 2015 14:03
URI

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