Towards low‐carbon sustainable development under Industry 4.0: The influence of industrial intelligence on China's carbon mitigation

可持续发展 温室气体 中国 环境经济学 人力资本 业务 自然资源经济学 产业组织 经济 经济增长 生态学 政治学 法学 生物
作者
Hui Tian,Jiaqi Qin,Chaoyin Cheng,Sohail Ahmad Javeed,Tiansi Chu
出处
期刊:Sustainable Development [Wiley]
卷期号:32 (1): 455-480 被引量:33
标识
DOI:10.1002/sd.2664
摘要

Abstract Global climate change is becoming an increasingly serious issue. China, the largest carbon emitter, has a long way towards its sustainable development goals (SDGs) and take on its carbon reduction responsibility, especially in the industrial sector. In this vein, industrial intelligence, a key driver in the “Industry 4.0 era”, offers an opportunity in this carbon reduction campaign. This paper seeks to examine the influences of industrial intelligence on carbon emissions, their heterogeneous characteristics and transmission mechanisms, and the moderating role of human capital. Therefore, we properly probed theoretical aspects, and then we used China's provincial data from 2006 to 2019 and a number of tests, namely the fixed effect model, the two‐stage test, and the moderating effect model, to test the relevant assumptions. We first unfolded that industrial intelligence can significantly mitigate carbon emissions. Specifically, the heterogeneous analysis found that carbon reduction efforts are more pronounced in China's central and western regions and resource‐based regions. We further highlight the mechanism identification, which reveals that industrial structure upgrading and technological innovation are the main channels for industrial intelligence to abate CO 2 emissions. Importantly, we pinpoint the role of human capital, which positively moderates the relationship between industrial intelligence and carbon emissions and can well amplify the industrial structure effect of industrial intelligence. These results are conducive to accurately assessing the environmental benefits of industrial intelligence and providing policy enlightenment for China to alleviate carbon emissions, and they will also offer a reference for other developing countries to learn from.
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
1秒前
id发布了新的文献求助30
1秒前
调皮的代双完成签到 ,获得积分10
3秒前
你可真下饭完成签到,获得积分10
3秒前
4秒前
Joenomad完成签到,获得积分10
4秒前
4秒前
COYS完成签到,获得积分20
5秒前
liugm发布了新的文献求助10
5秒前
6秒前
6秒前
8秒前
Aliya完成签到 ,获得积分0
9秒前
王佳鑫完成签到,获得积分10
9秒前
10秒前
10秒前
陶醉觅夏发布了新的文献求助10
11秒前
青葱鱼块完成签到 ,获得积分10
12秒前
美好山蝶发布了新的文献求助10
12秒前
顺顺利利发布了新的文献求助10
12秒前
jialin完成签到 ,获得积分10
13秒前
orixero应助EMM采纳,获得10
14秒前
14秒前
14秒前
Owen应助超级绮波采纳,获得10
14秒前
哈哈哈发布了新的文献求助10
15秒前
烟花应助葛潇采纳,获得10
15秒前
15秒前
15秒前
Haiverxin应助坚强的严青采纳,获得10
15秒前
15秒前
棠紫完成签到 ,获得积分10
16秒前
FashionBoy应助鱼鱼采纳,获得10
17秒前
美好山蝶完成签到,获得积分10
19秒前
zengzeng完成签到,获得积分10
19秒前
19秒前
11完成签到,获得积分10
19秒前
bkagyin应助密友采纳,获得10
19秒前
LH发布了新的文献求助10
20秒前
乌拉发布了新的文献求助10
20秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
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 7265189
求助须知:如何正确求助?哪些是违规求助? 8886174
关于积分的说明 18780494
捐赠科研通 6942844
什么是DOI,文献DOI怎么找? 3202849
关于科研通互助平台的介绍 2376018
邀请新用户注册赠送积分活动 2178779