How do government policies affect the diffusion of green innovation among peer enterprises? - An evolutionary-game model in complex networks

激励 补贴 产业组织 政府(语言学) 业务 订单(交换) 情感(语言学) 慷慨 进化博弈论 网络效应 公共经济学 营销 微观经济学 博弈论 经济体制 经济 市场经济 语言学 哲学 神学 财务
作者
Ruguo Fan,Yitong Wang,Fangze Chen,Kang Du,Yuanyuan Wang
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:364: 132711-132711 被引量:151
标识
DOI:10.1016/j.jclepro.2022.132711
摘要

Peer enterprises face similar market environment and development prospects. For the purpose of economic rationality and avoiding risks, enterprises imitate and learn from peer enterprises' green innovation decisions. However, few studies focus on the relationship between peer effect and government policies. In order to fill the gap, an evolutionary game model based on complex network is built, and different information interaction mechanisms are constructed to study the dynamic impact of government policies on the diffusion of green innovation among peer enterprises. The results show that: (1) based on peer effect, green innovation incentive, environmental protection tax and innovation subsidy are effective policy tools to promote green innovation diffusion. (2) green innovation incentive and innovation subsidy have the best policy effect threshold. Peer alliances invalidate further incentives for generosity. (3) Increasing the intensity of environmental tax will first promote and then inhibit the diffusion of green innovation. (4) Different information interaction mechanisms of peer effect significantly impact the effectiveness of policies, and there are differences. Compared with the positive information, enterprises are more vulnerable to the negative information of the industry. This reflects the conservative attitude of enterprises. The conclusions provide a multi perspective reference for the implementation of government policies.
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
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
刚刚
火星上的白凡完成签到,获得积分10
刚刚
刚刚
BPATIENT发布了新的文献求助10
刚刚
要减肥的书包完成签到,获得积分10
2秒前
2秒前
2秒前
村长热爱美丽完成签到 ,获得积分10
2秒前
3秒前
3秒前
LMH发布了新的文献求助10
5秒前
慎萌发布了新的文献求助10
5秒前
JamesPei应助yingyingyangyang采纳,获得10
5秒前
shubenzuo发布了新的文献求助10
5秒前
6秒前
6秒前
6秒前
背后的幻巧完成签到,获得积分10
7秒前
赘婿应助JF123_采纳,获得10
7秒前
电池大佬发布了新的文献求助10
7秒前
8秒前
huahua完成签到,获得积分10
8秒前
Dreamsli完成签到,获得积分10
8秒前
9秒前
auggy发布了新的文献求助10
9秒前
荔枝酱发布了新的文献求助10
10秒前
隐形曼青应助科研通管家采纳,获得10
11秒前
领导范儿应助科研通管家采纳,获得10
11秒前
orixero应助科研通管家采纳,获得10
11秒前
乐乐应助科研通管家采纳,获得10
11秒前
FashionBoy应助科研通管家采纳,获得10
11秒前
shubenzuo完成签到,获得积分10
11秒前
赘婿应助成博士采纳,获得10
11秒前
lan完成签到,获得积分10
11秒前
天天快乐应助科研通管家采纳,获得10
11秒前
BPATIENT完成签到,获得积分10
11秒前
深情安青应助科研通管家采纳,获得10
12秒前
无花果应助科研通管家采纳,获得10
12秒前
Bryce1130应助科研通管家采纳,获得10
12秒前
12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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7622395
求助须知:如何正确求助?哪些是违规求助? 9197641
关于积分的说明 19715739
捐赠科研通 7193822
什么是DOI,文献DOI怎么找? 3272972
关于科研通互助平台的介绍 2435361
邀请新用户注册赠送积分活动 2268354