Environmental pressure and perceived costs and benefits of residents’ low-carbon behavior

自然资源经济学 碳纤维 业务 环境经济学 环境资源管理 环境科学 经济 计算机科学 算法 复合数
作者
Jie Chi Yang,Yilei Hou,Chuyun Cui,Yihui Zhou,Yali Wen
出处
期刊:Journal of Environmental Planning and Management [Informa]
卷期号:: 1-24 被引量:1
标识
DOI:10.1080/09640568.2024.2312547
摘要

Effectively guiding residents towards low-carbon behavior is an important way to reduce carbon emissions, mitigate climate change and achieve sustainable social development. We developed a dual mediator model of environmental pressure on low-carbon behavior based on Stimulus-Organism-Response (S-O-R) theory. The structural equation modelling analysis method was used to conduct an empirical test with 1557 questionnaires of urban residents from Beijing and Shanghai. The results indicate that: (1) environmental pollution intensity and social pressure intensity had a significant effect on residents' low-carbon behavior. Social pressure was more likely to result in low-carbon behavior. (2) Perceived benefits were conducive to low-carbon behavior, whereas perceived costs inhibited low-carbon behavior. Social pressure intensity influenced low-carbon behavior by significantly acting on perceived benefits and costs, whereas environmental pollution intensity only contributed to low-carbon behavior by significantly reducing perceived costs. (3) Multi-group analysis gender, age, household size, and city of residence had significant moderating effects on the influence of environmental pollution intensity on low-carbon behavior. To promote residents' low-carbon behavior, society should increase the dissemination of information on green, frugal, and low-carbon concepts to increase social pressure. And incentive measures should be taken to promote residents' low-carbon behavior by relating them to interests. The results of the study are important for promoting residents' low-carbon behavior from the perspective of social pressure and understanding the psychological changes in residents' low-carbon behavior.

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
义气的惜霜完成签到 ,获得积分10
1秒前
2秒前
小豆豆完成签到 ,获得积分10
3秒前
美猪猪发布了新的文献求助10
10秒前
t铁核桃1985完成签到 ,获得积分10
10秒前
GRATE完成签到 ,获得积分10
16秒前
想发一篇贾克斯完成签到,获得积分10
16秒前
呆萌芙蓉完成签到 ,获得积分10
17秒前
幸福的羿完成签到 ,获得积分10
19秒前
所所应助胡清美采纳,获得10
24秒前
36秒前
谎言完成签到 ,获得积分10
38秒前
学渣一枚完成签到 ,获得积分10
39秒前
liang19640908完成签到 ,获得积分0
39秒前
yushiolo完成签到 ,获得积分10
39秒前
胡清美发布了新的文献求助10
43秒前
茄茄女士完成签到 ,获得积分10
45秒前
从容的水壶完成签到 ,获得积分10
45秒前
明理的天抒完成签到 ,获得积分10
47秒前
郑阔完成签到,获得积分10
53秒前
纸条条完成签到 ,获得积分10
55秒前
kobee完成签到 ,获得积分10
57秒前
Melody完成签到,获得积分10
1分钟前
yyx完成签到 ,获得积分10
1分钟前
daomaihu完成签到 ,获得积分10
1分钟前
oyly完成签到 ,获得积分10
1分钟前
繁荣的安白完成签到 ,获得积分10
1分钟前
SH123完成签到 ,获得积分0
1分钟前
大轩完成签到 ,获得积分10
1分钟前
科研通AI6.2应助cjy采纳,获得10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
Akim应助科研通管家采纳,获得10
2分钟前
英俊的铭应助科研通管家采纳,获得10
2分钟前
Auston_zhong应助科研通管家采纳,获得10
2分钟前
NexusExplorer应助科研通管家采纳,获得10
2分钟前
木子李完成签到 ,获得积分10
2分钟前
2316690509完成签到 ,获得积分10
2分钟前
早日暴富完成签到,获得积分10
2分钟前
培培完成签到 ,获得积分10
2分钟前
77wlr完成签到,获得积分10
2分钟前
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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6021688
求助须知:如何正确求助?哪些是违规求助? 7634676
关于积分的说明 16166803
捐赠科研通 5169499
什么是DOI,文献DOI怎么找? 2766449
邀请新用户注册赠送积分活动 1749442
关于科研通互助平台的介绍 1636554