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Optimization based structural decomposition analysis as a tool for supporting environmental policymaking

Łukasz Lach

Energy Economics, 2022, vol. 115, issue C

Abstract: A new tool for supporting environmental policymaking presented in this paper combines the ease of interpretation of structural decomposition analysis in the environmentally extended input-output (EEIO) model with versality of MINLP optimization. The approach allows finding those coefficients in EEIO model in the case of which a small change of their levels leads to a large reduction of industrial GHG emissions. In the illustrative empirical example the proposed approach is first implemented in GAMS and next used to identify GHG-emissions-important IO coefficients in Poland.

Keywords: Nonlinear programming; GHG emissions; Environmentally extended input-output model (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:115:y:2022:i:c:s0140988322004613

DOI: 10.1016/j.eneco.2022.106332

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Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

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