Optimal Decisions for Two Risk-Averse Competitive Manufacturers under the Cap-and-Trade Policy and Uncertain Demand

Int J Environ Res Public Health. 2020 Feb 5;17(3):1010. doi: 10.3390/ijerph17031010.

Abstract

With the increasingly serious problem of environmental pollution, reducing carbon emissions has become an urgent task for all countries. The cap-and-trade (C&T) policy has gained international recognition and has been adopted by several countries. In this paper, considering the uncertainty of market demand, we discuss the carbon emission reduction and price policies of two risk-averse competitive manufacturers under the C&T policy. The two manufacturers have two competitive behaviors: simultaneous decision making and sequential decision making. Two models were constructed for these behaviors. The optimal decisions, carbon emission reduction rate, and price were obtained from these two models. Furthermore, in this paper the effects of some key parameters on the optimal decision are discussed, and some managerial insights are obtained. The results show that the lower the manufacturers' risk aversion level is, the higher their carbon emission reduction rate and utilities. As the carbon quota increases, the manufacturers' optimal carbon reduction rate and utilities increase. Considering consumers' environmental awareness, it is more beneficial for the government to reduce the carbon quota and motivate manufacturers' internal enthusiasm for emission reduction. The government can, through macro control of the market, make carbon trading prices increase appropriately and encourage manufacturers to reduce carbon emissions.

Keywords: cap-and-trade; carbon emission reduction; risk-averse; supply chain.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Decision Making*
  • Environmental Policy*
  • Environmental Pollution / legislation & jurisprudence*
  • Environmental Pollution / prevention & control*
  • Manufacturing and Industrial Facilities / economics*
  • Manufacturing and Industrial Facilities / standards*
  • Risk Factors