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The purpose of this paper is to develop a greenhouse gas (GHG) management model for mitigating GHG emission. GHG emission by way of human activities is causing catastrophic effects on the natural environment in the form of climate change and global warming. GHG management of different products, bodies and processes is going on worldwide, expressed through carbon footprints by using product life cycle assessment (LCA). LCA is a useful approach, but it only looks at the micro level of cause-effect scenarios rather than the macro level cause-effect scenarios of GHG emission. Therefore, a system to scrutinize underlined assumptions and values of such policies/strategies is an urgent necessity.

This paper uses the double-loop learning concept, which was proposed by Argyris in 1976, to develop a triple cause-effect model for the management of GHG emission. The proposed model has a knowledge system that introduces the learning loop of GHG emission and environmental impact management.

A case study is conducted to demonstrate how the proposed triple cause-effect model is operationalized. The ideas and benefits of the proposed model are further discussed.

A triple cause-effect model for the measurement and analysis of GHG emission is proposed in this paper to complement GHG management by using only product LCA. This paper seeks to show that GHG management should look at not only a single tree (product LCA approach) but also the whole forest (the proposed model).