| 随机碳价下企业碳资源配置及绿色生产决策 |
| Carbon resource allocation and green production decision of a firm under stochastic carbon price |
| 摘要点击 119 全文点击 0 投稿时间：2022-11-21 修订日期：2023-12-07 |
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| 中文关键词 随机碳交易价格; 碳资源配置; 绿色生产决策; 双层规划 |
| 英文关键词 stochastic carbon trading price; carbon resource allocation; green production decision; bi-level program |
| 基金项目 |
| 作者 | 单位 | 邮编 | | 郎宇彤 | 中国人民大学商学院 | 100872 | | 计小宇 | 中国人民大学商学院 | 1000872 |
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| 中文摘要 |
| 面对碳交易价格的不确定性, 如何进行碳资源管理规避风险, 怎样开展绿色生产实现可持续性发展, 是企业落实“ 双碳”目标必须解决的问题. 本文基于随机碳价, 构建双层规划模型为企业提供碳资源配置以及其子公司的绿色生产方案. 在上层模型中, 企业为各子公司分配碳资源, 以实现效用最大化; 在下层模型中, 各子公司根据企业分配的碳资源确定生产方案, 以实现其利润最大化. 将下层优化问题转化为 Karush-Kuhn-Tucker条件后, 利用求解器求解模型, 并分析随机碳价给企业决策带来的影响: 随着碳价均值(标准差)的增加, 企业应减少碳资源的分配以提高碳排放量的管控, 子公司应逐渐使用绿色(常规)技术生产. 当碳价均值较低(高)时, 企业购买(售出)碳配额, 随着均值在一定范围内增加(减少), 在碳价标准差较小时就应减少碳交易量. 所提方法和结论能够为企业在随机碳交易价格下如何实施碳排放管控提供理论依据. |
| 英文摘要 |
| Facing the uncertainty of carbon trading price, how to manage carbon resources to avoid risks and develop green production for sustainable development are the problems that must be solved by firms to achieve dual carbon. This paper constructs a bi-level programming model based on stochastic carbon price to provide a firm with carbon resource allocation and green production plans for its subsidiaries. In upper-level model, the firm allocates carbon resources to subsidiaries to maximize its utility. In lower-level model, each subsidiary determines its production plan based on carbon resources to maximize its profit. The lower-level model is transformed into Karush-Kuhn-Tucker condition and solved by a solver, the impact of stochastic carbon price on the firm’s decisions is analyzed: as the mean (standard deviation) of carbon price increases, the firm should reduce the allocation of carbon resources to improve the control of carbon emissions, and subsidiaries should gradually use green (regular) technologies. When the mean of carbon price is low (high), firms should buy (sell) carbon quotas and as it increases (decreases) within a certain range, the firm should reduce carbon trading volume when the standard deviation is small. The proposed methodology and conclusions can provide a theoretical basis for firms to implement internal emission control under stochastic carbon price. |
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