Optimization based structural decomposition analysis as a tool for supporting environmental policymaking
提出一种新工具，结合结构分解分析的易解释性和MINLP优化的灵活性，在环境扩展投入产出模型中找出对工业温室气体排放影响大的系数，并以波兰为例进行实证。
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.