清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

New Quality Productivity and Industrial Structure in China: The Moderating Effect of Environmental Regulation

生产力 中国 质量(理念) 业务 索引(排版) 全要素生产率 计量经济学 环境经济学 经济 计算机科学 经济增长 地理 认识论 万维网 哲学 考古
作者
Changhua Shao,Han Dong,Yuan Gao
出处
期刊:Sustainability [Multidisciplinary Digital Publishing Institute]
卷期号:16 (16): 6796-6796 被引量:15
标识
DOI:10.3390/su16166796
摘要

To explore the connotation and development level of China’s new quality productivity, this paper constructs an index system based on innovation, greenness, and productivity. This system is used to describe the development level of China’s new quality productivity. Using relevant data from 30 provincial administrative regions in China from 2011 to 2021, the entropy weight-TOPSIS method was employed to measure the index system. The development level of new quality productivity in China and its four major economic regions was analyzed through the three dimensions of the index system. Additionally, this paper examines the impact of new quality productivity on China’s industrial restructuring and integrates environmental regulation to elucidate the interaction mechanisms among these factors. An econometric regression model is further constructed to verify the effect of new quality productivity on industrial structural change and to examine the moderating role of environmental regulation. The results of this study show that there is a regional imbalance in the level of development of new quality production in China, with the level of development of new quality productivity in the eastern region being significantly higher than that in the central, western, and northeastern regions. However, on the whole, the new quality productivity of the four major regions has been in a state of continuous improvement during the period under investigation, and the spatial gap has been constantly decreasing. The benchmark regression coefficients, sys-GMM regression coefficients, and diff-GMM regression coefficients for new quality productivity and industrial rationalization are −0.6228, −0.1121, and −0.0439, respectively, and they are negatively correlated. The regression coefficients of the sys-GMM and diff-GMM of the interaction terms of environmental regulation and new quality productivity are −0.0051 and −0.0045, and there is a negative moderating effect of environmental regulation between new quality productivity and industrial structure rationalization. The benchmark regression coefficient, the sys-GMM regression coefficient, and the diff-GMM regression coefficient of new quality productivity and industrial upgrading are 2.5179, 0.7525, and 0.3572, respectively, and there is a positive correlation between the two. The regression coefficients of sys-GMM and diff-GMM for the interaction terms of environmental regulation and new quality productivity are 0.0380 and −0.0167, and there is a positive moderating effect of environmental regulation between new quality productivity and industrial structure upgrading.
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
bkagyin应助迟到翘课翘采纳,获得10
4秒前
年轻静蕾完成签到,获得积分10
21秒前
scenery0510完成签到,获得积分0
21秒前
32秒前
35秒前
乐乐应助白华苍松采纳,获得10
42秒前
44秒前
MingY完成签到,获得积分10
54秒前
棉裤完成签到,获得积分10
55秒前
怕黑明雪完成签到,获得积分10
56秒前
77完成签到,获得积分10
57秒前
刘雯完成签到,获得积分10
58秒前
晨风完成签到,获得积分10
1分钟前
曾经的盼望完成签到,获得积分10
1分钟前
spinon完成签到,获得积分10
1分钟前
紫熊完成签到,获得积分10
1分钟前
平淡的友儿完成签到 ,获得积分10
2分钟前
善良士晋完成签到,获得积分10
2分钟前
白华苍松完成签到,获得积分10
2分钟前
情怀应助白华苍松采纳,获得10
2分钟前
橘子完成签到 ,获得积分10
2分钟前
Axs完成签到,获得积分10
3分钟前
靓丽的小懒虫完成签到,获得积分10
3分钟前
humorlife完成签到,获得积分10
3分钟前
现代的冰海完成签到,获得积分10
3分钟前
zyyicu完成签到,获得积分10
3分钟前
留胡子的鸿涛完成签到,获得积分10
3分钟前
suge完成签到,获得积分10
4分钟前
华仔应助燕儿采纳,获得30
4分钟前
自由的冷玉完成签到,获得积分10
4分钟前
彩色鞋子完成签到,获得积分10
4分钟前
中草药完成签到,获得积分10
4分钟前
常有李完成签到,获得积分10
4分钟前
5分钟前
怕孤独的梦寒完成签到,获得积分10
5分钟前
燕儿发布了新的文献求助30
5分钟前
刻苦寻双完成签到,获得积分10
5分钟前
共享精神应助燕儿采纳,获得10
5分钟前
大胆的秋双完成签到,获得积分10
5分钟前
明亮元蝶完成签到,获得积分10
5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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7778308
求助须知:如何正确求助?哪些是违规求助? 9318775
关于积分的说明 20365875
捐赠科研通 7365397
什么是DOI,文献DOI怎么找? 3319203
关于科研通互助平台的介绍 2467059
邀请新用户注册赠送积分活动 2334591