A comparative study on a firm's optimal production decision considering risk aversion and carbon policies

被引:1
|
作者
Qi, Qi [1 ]
Bai, Qingguo [2 ]
Xu, Jianteng [2 ]
Feng, Qian [3 ]
机构
[1] Beijing Wuzi Univ, Sch Logist, Beijing 101149, Peoples R China
[2] Qufu Normal Univ, Sch Management, Rizhao 276826, Shandong, Peoples R China
[3] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
Risk aversion; Conditional value-at-risk; Carbon capacity; Carbon tax; Production decision; SUPPLY CHAIN; NEWSVENDOR PROBLEM; OPTIMAL INVENTORY; LOCATION PROBLEM; EMISSION; CAP; MODEL; TIME; TAX;
D O I
10.1051/ro/2023059
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
To cope with global warming and achieve the goal of carbon emission reduction, various carbon policies have been implemented in many countries and regions. Some studies have indicated that with the popularity of low carbon, a small proportion of consumers show a green purchasing tendency. However, for firms, it is still difficult to predict the green purchase preferences of most consumers, and firms may face greater market demand uncertainty, which will bring profit risks. We assume that a firm's decision is subject to its behavioral considerations, that is, its risk attitude. Considering the risk preferences of decision-makers and carbon emission policies, this paper addresses decision optimization in operations management. Our purpose is to analyze the optimal production decisions of risk-averse firms under carbon cap and carbon tax policies. Adopting the CVaR (conditional value-at-risk) criterion, we construct an optimization model with the constraints of carbon policies and obtain the analytic formula of optimal solutions. Then, we compare the optimal operational decisions for risk-averse firms and risk-neutral firms and further explore the impact of risk aversion on production and the parameters of carbon policy. Finally, some numerical studies are presented to analyze the carbon policies and risk aversion on firms' operational decisions and give some managerial insights based on the analysis results.
引用
收藏
页码:2025 / 2043
页数:19
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