An Empirical Analysis of the Impact of Digital Economy on Manufacturing Green and Low-Carbon Transformation under the Dual-Carbon Background in China

低碳经济 面板数据 数字化转型 制造业 温室气体 中国 数字化制造 碳纤维 环境经济学 经济 产业组织 业务 计量经济学 计算机科学 运营管理 生物 复合数 万维网 营销 生态学 政治学 法学 算法
作者
Wei Zhang,Hao Zhou,Jie Chen,Zifu Fan
出处
期刊:International Journal of Environmental Research and Public Health [Multidisciplinary Digital Publishing Institute]
卷期号:19 (20): 13192-13192 被引量:44
标识
DOI:10.3390/ijerph192013192
摘要

The deep integration of digital economy and green development has become an inevitable requirement and an important aid in achieving the goal of carbon peaking and carbon neutrality and promoting high-quality economic development. At the same time, the manufacturing industry is the main sector of energy consumption and carbon emissions in China and the main force for achieving the carbon peaking and carbon neutrality goals. This paper constructs a mathematical model to measure the scale of the digital economy development and the efficiency of the green, low-carbon transformation of the manufacturing industry. It builds a panel data model to study the effect of the development of the digital economy on the green, low-carbon transformation of the manufacturing industry based on data of 30 Chinese provinces from 2016 to 2020. The results find that (1) there is a significant positive effect of the digital economy on the green, low-carbon transformation of the manufacturing industry, with an impact coefficient of 0.477, and this finding remains significant in the robustness test. (2) A further test of the mediating effect finds that the digital economy can drive the green, low-carbon transformation of the manufacturing industry by enhancing technological innovation, and it shows a partial mediating effect that accounts for 28% of the total effect. (3) In the regional heterogeneity analysis, it is found that the effect of the digital economy in promoting manufacturing transformation is more prominent in the central region, and the impact coefficients are 0.684, 0.806, 0.340, and 0.392 for the east, central, west, and northeast regions, respectively. This study can provide a theoretical basis and policy support for governments and enterprises.
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
刚刚
1秒前
1秒前
sanbuzhiwai发布了新的文献求助10
1秒前
2秒前
嘟噜嘟噜完成签到,获得积分10
2秒前
Lucas的应助被娜娜采纳,获得10
3秒前
早日发论文完成签到,获得积分10
3秒前
3秒前
飞飞发布了新的文献求助10
3秒前
痒痒硕鼠发布了新的文献求助10
4秒前
weimin完成签到 ,获得积分10
4秒前
魔修发布了新的文献求助10
4秒前
xing_xing的应助被timeless采纳,获得20
5秒前
子衿发布了新的文献求助10
5秒前
风之刃琛发布了新的文献求助10
5秒前
yuchangkun发布了新的文献求助10
5秒前
糖果苏扬完成签到 ,获得积分10
6秒前
ding的应助被浏阳河采纳,获得10
7秒前
gu完成签到,获得积分10
8秒前
8秒前
lihua发布了新的文献求助10
8秒前
Yuan发布了新的文献求助50
9秒前
xiangbei完成签到,获得积分10
9秒前
留胡子的火完成签到,获得积分10
10秒前
AteeqBaloch完成签到,获得积分10
11秒前
222发布了新的文献求助10
12秒前
格拉希尔发布了新的文献求助30
12秒前
喻紫寒完成签到 ,获得积分10
13秒前
英姑的应助被爱笑猕猴桃采纳,获得10
14秒前
fang完成签到,获得积分10
14秒前
痴情的朋友的应助被Rain采纳,获得10
14秒前
温柔绍辉发布了新的文献求助10
14秒前
喂喂喂完成签到 ,获得积分10
15秒前
15秒前
fffyy完成签到,获得积分20
16秒前
16秒前
Badge完成签到,获得积分10
17秒前
小薛的应助被小于子88采纳,获得30
17秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Organizational Behavior 510
Arbitrage Theory in Discrete and Continuous Time 500
Production Logging: Theoretical and Interpretive Elements 400
English Longitudinal Study of Ageing: Waves 0-11, 1998-2024 300
2026-2030年中國基因檢測行業市場前瞻與未來投資戰略分析報告 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7825490
求助须知:如何正确求助?哪些是违规求助? 9351874
关于积分的说明 20563885
捐赠科研通 7418860
什么是DOI,文献DOI怎么找? 3334792
关于科研通互助平台的介绍 2480139
邀请新用户注册赠送积分活动 2355304