An Environmental Input-Output Model for Ireland

ESRI Working Paper No. 178

28 Pages Posted: 22 Feb 2007

See all articles by Joe O'Doherty

Joe O'Doherty

Economic & Social Research Institute (ESRI)

Richard S. J. Tol

The Economic and Social Research Institute, Dublin; Institute for Environmental Studies, Free University Amsterdam

Date Written: January 3, 2007

Abstract

This paper is presented in two parts. The first part demonstrates an environmental input-output model for Ireland for the year 2000. Selected emissions are given a monetary value on the basis of benefit-transfer. This modelling procedure reveals that certain sectors pollute more than others - even when normalised by the sectoral value added. Mining, agriculture, metal production and construction stand out as the dirtiest industries. On average, however, each sector adds more value than it does environmental damage. The second part uses the results of this input-output model - as well as historical data - to forecast emissions, waste and water use out to 2020. The growth in emissions of fluorinated gases and carbon monoxide and the growth of hazardous industrial waste exceed economic growth. Other emissions grow more slowly than the economy. Emissions of acid rain gases (SO2, NOx and NH3) will decrease, even if the economy grows rapidly.

Suggested Citation

O'Doherty, Joe and Tol, Richard S. J., An Environmental Input-Output Model for Ireland (January 3, 2007). ESRI Working Paper No. 178, Available at SSRN: https://ssrn.com/abstract=964473 or http://dx.doi.org/10.2139/ssrn.964473

Joe O'Doherty (Contact Author)

Economic & Social Research Institute (ESRI) ( email )

Dublin 4
Ireland

Richard S. J. Tol

The Economic and Social Research Institute, Dublin ( email )

Whitaker Square
Sir John Rogerson's Quay
Dublin 2
United States

HOME PAGE: http://www.esri.ie

Institute for Environmental Studies, Free University Amsterdam ( email )

De Boelelaan 1115
Amsterdam, 1081 HV
Netherlands

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
219
Abstract Views
1,387
Rank
254,838
PlumX Metrics