中立
政府(语言学)
资源配置
中国
资源(消歧)
环境经济学
碳中和
系统动力学
控制(管理)
碳纤维
资源管理(计算)
业务
产业组织
环境资源管理
计算机科学
经济
温室气体
生态学
政治学
分布式计算
法学
管理
计算机网络
哲学
语言学
算法
人工智能
复合数
生物
作者
Kuo‐Jui Wu,Huaina Qiu,Huang Cai-yan,Anthony S.F. Chiu,Ming‐Lang Tseng
标识
DOI:10.1016/j.resconrec.2023.107296
摘要
Government resource allocation practices for achieving carbon neutrality need to be guided by dynamic system theory to identify potential dynamics in China. In particular, dynamic system theory addresses the complex interrelationships and identifies the changes in dynamics to support the decision-making process in pursuing carbon neutrality among international trade, transportation, industrial demand and dynamic control. However, carbon neutrality involves various activities to better understand the complex activity interrelationships. The data are collected from four major databases including 30 Chinese provinces/cities covering a six-year period with the accumulated frequency in the Baidu Index. This study proposes a hybrid system approach to dynamic resource analysis. The results showed that carbon intensity control dynamics impose a greater influence on the other dynamics toward carbon neutrality. Many provinces can achieve carbon neutrality by regulating the electronics and telecommunications equipment industry.
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