A study of the impact of de-capacity policies on industry capacity utilization paths: Evidence from the Chinese steel industry

重组 产业组织 业务 背景(考古学) 产能利用率 升级 环境经济学 经济 财务 计算机科学 生物 操作系统 古生物学 微观经济学
作者
Shixin Shi,Hao Li,Hongsong Tang,Yang Liu
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:18 (12): e0295613-e0295613
标识
DOI:10.1371/journal.pone.0295613
摘要

The issue of overcapacity has become an unavoidable challenge in the rapid development of nations, constraining economic progress, particularly within industries like steel, coal, and cement. This study, using the example of the Chinese steel industry in the context of supply-side structural reform, employs data envelopment analysis (DEA) models to measure capacity utilization, and ordinary least squares (OLS) models to investigate the impact of capacity reduction policies on the steel industry’s capacity utilization pathways. The research findings indicate that capacity reduction policies have a significantly positive impact on the capacity utilization in the steel industry. They enhance capacity utilization through four pathways: “equipment optimization and upgrade”, “enterprise mergers and restructuring”, “technology innovation-driven”, and “environmental protection regulations”. Among these, “technology innovation-driven” and “environmental protection regulations” play predominant roles, while the effect of “international market expansion” on increasing capacity utilization in the steel industry is not significant. To ensure the sustained effectiveness of capacity reduction policies, the nation should continue to strengthen the “technology innovation-driven” and “environmental protection regulations” pathways. Additionally, it should activate the “national market expansion” pathway, fully exploring the potential for international cooperation to achieve improved capacity utilization in the steel industry.

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
你好完成签到,获得积分10
刚刚
孙文健发布了新的文献求助10
1秒前
吃饱睡好发布了新的文献求助10
1秒前
1秒前
思源应助故意的鸿涛采纳,获得10
2秒前
zzz发布了新的文献求助10
2秒前
2秒前
隐形曼青应助panpan采纳,获得10
2秒前
浊酒临江风完成签到,获得积分10
2秒前
Makubes发布了新的文献求助10
2秒前
清爽的千易完成签到,获得积分10
2秒前
科研通AI6.1应助karaha采纳,获得10
2秒前
科研星完成签到,获得积分10
2秒前
有魅力的怜南应助清言采纳,获得20
3秒前
愤怒的无敌完成签到,获得积分10
3秒前
4秒前
草莓味de烤猪蹄完成签到,获得积分10
4秒前
人各有痣完成签到,获得积分10
4秒前
yy关注了科研通微信公众号
5秒前
5秒前
6秒前
888完成签到,获得积分10
7秒前
7秒前
7秒前
邢邢发布了新的文献求助10
8秒前
南城北A发布了新的文献求助10
9秒前
故意的鸿涛完成签到,获得积分10
9秒前
星辰大海应助Iridescent_采纳,获得50
9秒前
9秒前
9秒前
10秒前
Reynolds应助欣喜石头采纳,获得10
10秒前
10秒前
丘比特应助动听元正采纳,获得10
10秒前
zzzz应助赵吉思汗采纳,获得10
11秒前
11秒前
sss完成签到,获得积分10
11秒前
WKL关注了科研通微信公众号
11秒前
活泼完成签到,获得积分10
12秒前
13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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6364898
求助须知:如何正确求助?哪些是违规求助? 8178864
关于积分的说明 17239318
捐赠科研通 5419951
什么是DOI,文献DOI怎么找? 2867816
邀请新用户注册赠送积分活动 1844885
关于科研通互助平台的介绍 1692343