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.

中文翻译：

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基于优化的结构分解分析作为支持环境决策的工具

本文提出的一种支持环境决策的新工具将环境扩展输入输出 (EEIO) 模型中结构分解分析的易于解释性与 MINLP 优化的通用性结合在一起。该方法允许在 EEIO 模型中找到那些系数，在这种情况下，它们的水平的微小变化会导致工业温室气体排放量的大幅减少。在说明性的经验示例中，所提出的方法首先在 GAMS 中实施，然后用于识别波兰的温室气体排放重要 IO 系数。