Exploring CO2 mitigation pathway of local industries using a regional-based system dynamics model

背景(考古学) 系统动力学 环境经济学 生产(经济) 可持续发展 业务 能源消耗 政府(语言学) 情景分析 产业组织 工程类 计算机科学 经济 哲学 法学 人工智能 古生物学 宏观经济学 电气工程 生物 语言学 政治学 财务
作者
Min Tang,Sheng Wang,Chunxia Dai,Liu Yiping
出处
期刊:International Journal of Information Management [Elsevier BV]
卷期号:52: 102079-102079 被引量:12
标识
DOI:10.1016/j.ijinfomgt.2020.102079
摘要

Low-carbon development based on low energy consumption, low pollution and low emissions has become an important strategic choice for worldwide governments to achieve sustainable development. In order to support smart government in decision making, information systems have been developed to monitor and predict CO2 emissions. Most of the existing studies investigate CO2 emission amounts, identify influencing factors of CO2 emission and discuss potential suggestions to mitigate CO2 emission for different industries. They often focus on CO2 emission research of industries in a region or country, while the integration of carbon flow in the neighboring regions is not well studied. Therefore, this paper proposes a system dynamics model to explore an optimal carbon emission reduction path of a regional industry by integrating regional differences, i.e., industrial comparative advantages, technology advantages and the inter-regional context between the neighboring regions. In the case study, we use a key industry in a typical industrial region of Western China, the cement industry in Chongqing, as a scenario to simulate the CO2 emission, possible energy demand and cement production of the cement industry in this region for recent years. Simulation results show that by leveraging the regional differences, especially the collaboration of the industrial chain and production capacity among regions, the cement industry in Chongqing can achieve the low-carbon target. In addition, through the analysis and discussions about the features of our model and Chongqing’s cement industry, it reflects that our model using regional differences is applicable to industries with a common demand market at the regional level such as energy, chemical and steel industries.

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
Hobo1920完成签到,获得积分10
1秒前
pisinaverde完成签到,获得积分10
1秒前
l玖应助nml采纳,获得10
2秒前
Crisp完成签到 ,获得积分10
2秒前
liao完成签到 ,获得积分10
2秒前
丘比特应助Ming采纳,获得10
3秒前
5秒前
Ava应助xjzz采纳,获得10
8秒前
8秒前
搜集达人应助lxz采纳,获得10
8秒前
MiriamYu完成签到,获得积分10
11秒前
sb完成签到,获得积分10
12秒前
梦梦发布了新的文献求助10
12秒前
沅水驿完成签到,获得积分10
14秒前
我是老大应助平常石头采纳,获得10
15秒前
zhq完成签到,获得积分10
16秒前
17秒前
17秒前
蕯匿完成签到,获得积分10
17秒前
lqy完成签到 ,获得积分10
18秒前
Randy完成签到 ,获得积分10
18秒前
18秒前
19秒前
momooooo完成签到,获得积分10
21秒前
雨点发布了新的文献求助10
23秒前
lxz发布了新的文献求助10
23秒前
23秒前
科研通AI6.4应助学术芽采纳,获得10
23秒前
暖晴完成签到,获得积分10
24秒前
王王完成签到,获得积分0
24秒前
24秒前
zzzzz发布了新的文献求助10
25秒前
somin发布了新的文献求助10
25秒前
25秒前
由于发布了新的文献求助10
28秒前
嗜蛋黄小怪布丁完成签到 ,获得积分10
29秒前
My完成签到,获得积分10
29秒前
30秒前
30秒前
belle发布了新的文献求助10
32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
A Research Agenda for Law, Finance and the Environment 800
Development Across Adulthood 800
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
A Time to Mourn, A Time to Dance: The Expression of Grief and Joy in Israelite Religion 700
The formation of Australian attitudes towards China, 1918-1941 640
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6446264
求助须知:如何正确求助?哪些是违规求助? 8259718
关于积分的说明 17596134
捐赠科研通 5507316
什么是DOI,文献DOI怎么找? 2901952
邀请新用户注册赠送积分活动 1879018
关于科研通互助平台的介绍 1719166