The Influence of Opportunism on the Cooperation Modes of Carbon Emission Reduction

Jinxi Li , Jing Liu , Yuyin Yi , Youxie Chen

Journal of Systems Science and Systems Engineering ›› 2024, Vol. 33 ›› Issue (6) : 736 -758.

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Journal of Systems Science and Systems Engineering ›› 2024, Vol. 33 ›› Issue (6) : 736 -758. DOI: 10.1007/s11518-024-5614-z
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The Influence of Opportunism on the Cooperation Modes of Carbon Emission Reduction

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Abstract

Investment and technology cooperation has become prevalent among manufacturers for reducing carbon emission. However, the success and sustainability of such cooperation can be restrained by firm opportunism. This study investigates the impact of three different cooperation modes (CER investment cooperation, information sharing cooperation, and comprehensive cooperation) on manufacturers’ efforts for carbon emission reduction (CER). We also analyze how opportunism in key resources input affects the CER cooperation, and explore the influence of carbon tax and consumer environmental awareness (CEA) on opportunistic motivation. Our results show that 1) Manufacturers engaged in cooperation will increase their profits, but may not necessarily lessen carbon emission, which is related to the intensity of market competition. 2) The optimal mode for manufacturers is comprehensive cooperation, followed by information sharing cooperation, and then is CER investment cooperation. 3) Opportunism is not necessarily detrimental to CER. 4) In the comprehensive cooperation mode, the impact of opportunism to the co-operative manufacturer is hierarchical, and whether the cooperation continues depends on the intensity of market competition. 5) CEA will encourage the opportunism, while the effect of carbon tax on opportunistic motivation is related to the market size.

Keywords

Carbon tax / consumer environmental awareness / CER cooperation / opportunism

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Jinxi Li, Jing Liu, Yuyin Yi, Youxie Chen. The Influence of Opportunism on the Cooperation Modes of Carbon Emission Reduction. Journal of Systems Science and Systems Engineering, 2024, 33(6): 736-758 DOI:10.1007/s11518-024-5614-z

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