Evolutionary game model of government regulation of electric bus promotion behavior

补贴 晋升(国际象棋) 政府(语言学) 博弈论 进化博弈论 业务 进化稳定策略 产业组织 电动汽车 一致性(知识库) 微观经济学 经济 公共经济学 计算机科学 市场经济 人工智能 法学 政治学 功率(物理) 量子力学 哲学 物理 政治 语言学
作者
Xinghua Hu,Tingting Zhang,Jiahao Zhao,Jianpu Guo,Xiaochuan Zhou,Liu Ba
出处
期刊:International Journal of Green Energy [Informa]
卷期号:21 (3): 701-717 被引量:4
标识
DOI:10.1080/15435075.2023.2210656
摘要

ABSTRACTABSTRACTThis study aimed to improve the efficiency of government regulations and promote the market applications of electric buses. Based on evolutionary game theory, with electric bus manufacturers, passenger transport enterprises, and the government as the evolutionary game subjects, a tripartite evolutionary game model of production-use management is established. An equilibrium stabilization strategy was derived through game equilibrium and evolutionary stability analysis, and the influence of changes in key variables on the choice of promotion behavior of decision subjects was quantitatively analyzed. The results of the empirical analysis showed that when the government adjusts the policy subsidy between 6–10, the changes in the sensitivity of manufacturers and passenger transport enterprises are relatively high, and the decisions of both sides tend to be 1; if the government penalty is adjusted to 4.8–6.8, the government strictly regulates the promotion of electric bus policy, and the manufacturers and passenger transport enterprises choose to actively participate in the promotion strategy, effectively constraining the decision-making behavior of all parties, which verifies the validity and consistency of the model analysis conclusions. The conclusions will provide theoretical reference for the formulation of government regulatory policies and the development of low-carbon transportation.KEYWORDS: Low-carbon transportationelectric busespromotion behaviorgovernment regulationevolutionary game Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported by the Chongqing Social Science Planning Project under Grant number 2021NDYBO35; the Sichuan Science and Technology Program under Grant number 2022YFG0132; the Opening Project of Key Laboratory of operation safety technology on transport vehicles, Ministry of Transport, PRC under Grant number 2020-8402; and Chongqing Postgraduate Joint Training Base Project(Chongqing JiaotongUniversity-Chongqing YouLiang Science & Technology Co., Ltd Joint Training Base for Postgraduatesin Transportation) under Grant JDLHPYJD2019007.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
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
10秒前
shs完成签到 ,获得积分10
13秒前
14秒前
村长热爱美丽完成签到 ,获得积分10
15秒前
19秒前
22秒前
幺幺咔完成签到 ,获得积分10
22秒前
浦肯野发布了新的文献求助10
23秒前
ZJHYNL完成签到,获得积分10
25秒前
mtiantianm完成签到 ,获得积分10
27秒前
Eden发布了新的文献求助10
28秒前
32秒前
浦肯野完成签到,获得积分0
33秒前
35秒前
36秒前
葱葱完成签到,获得积分10
37秒前
Eden发布了新的文献求助10
40秒前
von发布了新的文献求助10
42秒前
绝情继父发布了新的文献求助10
42秒前
健壮傲之完成签到 ,获得积分10
43秒前
舒先生完成签到,获得积分10
45秒前
EnjieLin完成签到,获得积分10
51秒前
keke完成签到 ,获得积分10
52秒前
香蕉书兰完成签到,获得积分20
53秒前
hope完成签到,获得积分10
54秒前
wei_ahpu完成签到,获得积分10
54秒前
55秒前
ssy完成签到 ,获得积分10
55秒前
Eden发布了新的文献求助10
56秒前
奥斯卡完成签到,获得积分0
1分钟前
充电宝应助123采纳,获得10
1分钟前
锅巴完成签到 ,获得积分10
1分钟前
stone完成签到,获得积分10
1分钟前
科研人员完成签到 ,获得积分20
1分钟前
Ping完成签到,获得积分10
1分钟前
Eden完成签到,获得积分20
1分钟前
哎哟哎哟完成签到,获得积分10
1分钟前
壮观人达发布了新的文献求助10
1分钟前
舒心的雍应助ixueyi采纳,获得10
1分钟前
oi完成签到 ,获得积分10
1分钟前
高分求助中
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 800
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
T/SNFSOC 0002—2025 独居石精矿碱法冶炼工艺技术标准 300
The Impact of Lease Accounting Standards on Lending and Investment Decisions 250
The Linearization Handbook for MILP Optimization: Modeling Tricks and Patterns for Practitioners (MILP Optimization Handbooks) 200
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 5851979
求助须知:如何正确求助?哪些是违规求助? 6275055
关于积分的说明 15627539
捐赠科研通 4967924
什么是DOI,文献DOI怎么找? 2678842
邀请新用户注册赠送积分活动 1623057
关于科研通互助平台的介绍 1579488