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Optimising Decarbonisation Investment for Firms towards Environmental Sustainability

Tran, Trung-Hieu; Mao, Yong; Siebers, Peer-Olaf


Trung-Hieu Tran

Yong Mao


We develop a mixed-integer non-linear programming model for firms’ decarbonisation investment decision-making towards a sustainable environment. Our model seeks the optimal investment for a firm to achieve maximum profit under constraints derived from its environmental protection awareness and the government’s taxation policy. We use an uncertainty theory to formulate the relationship of a firm’s environmental protection awareness and its investment budget levels. Governments’ taxation policy is modelled by a step-wise linear function, where reduced carbon dioxide emission can help the firm reduce taxation. A linearisation is proposed to solve the non-linear problem efficiently. A case study for a sector of electronic component manufacturers in Nottingham, the United Kingdom, demonstrates the practical implementation of the proposed model. Several large-sized instances, which were randomly generated, were utilised to evaluate the the efficiency of model in terms of computational time. Our model can be used to explore budget options to obtain higher profits under a particular taxation policy.

Journal Article Type Article
Publication Date Oct 16, 2019
Journal Sustainability
Electronic ISSN 2071-1050
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 11
Issue 20
Article Number 5718
APA6 Citation Tran, T., Mao, Y., & Siebers, P. (2019). Optimising Decarbonisation Investment for Firms towards Environmental Sustainability. Sustainability, 11(20),
Keywords Mixed-integer non-linear programming; Linearised model; Decarbonisation investment; Environmental protection awareness; Taxation policy
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