Pushing carbon footprint reduction along environment with carbon-reducing information asymmetry

信息不对称 碳足迹 比较静力学 私人信息检索 背景(考古学) 碳纤维 业务 政府(语言学) 利润(经济学) 产业组织 微观经济学 经济 环境经济学 计算机科学 温室气体 哲学 复合数 生物 古生物学 语言学 计算机安全 生态学 算法
作者
Jing Xia,Wenju Niu
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:249: 119376-119376 被引量:27
标识
DOI:10.1016/j.jclepro.2019.119376
摘要

Pushing carbon footprint reduction (CFR) by means of carbon regulation has received increasing attention. However, extant research primarily focuses on the design of carbon regulation under complete information, neither the feature of carbon regulation under asymmetric information nor the role of private information in the government-firm relationship has been explored. In this paper, we investigate the issue of government-firm contracting for CFR in the context of carbon-reducing information asymmetry. Two cases are considered: The single asymmetric information case where the firm’s carbon-reducing effort is privately known to himself, and the dual asymmetric information case in which neither the firm’s carbon-reducing capacity nor his effort is visible to the government. Carbon contracting model in each case is developed by mechanism design and game theory. To examine the effectiveness of these carbon contracts, the benchmark with complete information is further studied. Comparative statics and sensitive analysis show that the carbon contracts under information asymmetry can efficiently motivate the firm to reduce carbon footprint. In particular, under single asymmetric information, the government appropriately adjusts the optimal contractual configurations to maximize the expected welfare, leaving the firm to get the reservation profit. Under dual asymmetric information, the government’s best choice is to offer a menu of carbon contracts which enables the firm to obtain extra information rent that is increasing in his carbon-reducing capacity. We explicitly identify conditions under which the screening mechanism works and reveal that the menu of carbon contracts not only induces the firm to reveal his true carbon-reducing capacity but also motivates him to make the best effort to reduce carbon footprint. Our findings provide the government with a theoretical basis regarding carbon regulation under information asymmetry, as well as help firms make appropriate selections when signing low-carbon contracts with the government.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
小许完成签到 ,获得积分10
2秒前
岩松完成签到 ,获得积分10
2秒前
乘风破浪完成签到 ,获得积分10
3秒前
量子星尘发布了新的文献求助10
5秒前
张庭豪完成签到,获得积分10
6秒前
兴奋雁风完成签到 ,获得积分10
8秒前
小高同学完成签到,获得积分10
9秒前
zhangxinan完成签到,获得积分10
12秒前
小破仁完成签到,获得积分10
13秒前
kimiwanano完成签到,获得积分10
15秒前
量子星尘发布了新的文献求助10
17秒前
彩色的蓝天完成签到,获得积分10
21秒前
昏睡的妙梦完成签到,获得积分10
21秒前
术语完成签到 ,获得积分10
29秒前
34秒前
田田完成签到 ,获得积分10
36秒前
37秒前
活泼的寒安完成签到 ,获得积分10
38秒前
38秒前
结实的丹雪完成签到,获得积分10
39秒前
杜飞完成签到,获得积分10
39秒前
量子星尘发布了新的文献求助10
41秒前
43秒前
量子星尘发布了新的文献求助10
44秒前
苗条白枫完成签到 ,获得积分10
49秒前
嗯嗯应助如意元容采纳,获得10
50秒前
踏实的无敌完成签到,获得积分10
51秒前
科研通AI6应助科研通管家采纳,获得10
52秒前
科研通AI6应助科研通管家采纳,获得10
52秒前
52秒前
科研通AI6应助科研通管家采纳,获得10
52秒前
52秒前
科研通AI6应助科研通管家采纳,获得10
52秒前
52秒前
科研通AI6应助科研通管家采纳,获得10
52秒前
52秒前
科研通AI6应助科研通管家采纳,获得10
52秒前
科研通AI6应助科研通管家采纳,获得10
52秒前
52秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 6000
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Superabsorbent Polymers 600
Handbook of Migration, International Relations and Security in Asia 555
A retrospective multi-center chart review study on the timely administration of systemic corticosteroids in children with moderate-to-severe asthma exacerbations 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5677061
求助须知:如何正确求助?哪些是违规求助? 4970068
关于积分的说明 15159298
捐赠科研通 4836738
什么是DOI,文献DOI怎么找? 2591299
邀请新用户注册赠送积分活动 1544759
关于科研通互助平台的介绍 1502754