Classification of Overcapacity and Implications for Governance

LIANG Yongmei

doi:10.19979/j.cnki.issn10082689.2023030075

Volume 39 Issue 6

Dec. 2023

Turn off MathJax

Article Contents

Article Navigation > Journal of University of Science and Technology Beijing ( Social Sciences Edition) > 2023 > 39(6): 754-763

LIANG Yongmei. Classification of Overcapacity and Implications for Governance[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2023, 39(6): 754-763. doi: 10.19979/j.cnki.issn10082689.2023030075

Citation:

LIANG Yongmei. Classification of Overcapacity and Implications for Governance[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2023, 39(6): 754-763. doi: 10.19979/j.cnki.issn10082689.2023030075

Citation:

PDF( 1141 KB)

Classification of Overcapacity and Implications for Governance

doi: 10.19979/j.cnki.issn10082689.2023030075

LIANG Yongmei^{1, 2}

1.
Institute of Industrial Economics of CASS, Beijing 100006
2.
University of Chinese Academy of Social Sciences, Beijing 102488

Received Date: 2022-12-03
Publish Date: 2023-12-25

Abstract

Abstract

Overcapacity can be roughly classified into three types: frictional overcapacity, cyclical overcapacity and structural overcapacity according to the duration, scope of influence and severity of overcapacity. The urgency of different types of overcapacity and the key methods to address them should also be differentiated. Frictional overcapacity is always temporary overcapacity caused by the time required by the supply and demand parties to search for information, commodity transactions, as well as incomplete information and strategic behavior of enterprises. It influences fewer industries with a low degree of overcapacity and a short duration, and should be intervened as little as possible, mainly through improving market construction and other means when necessary. Cyclical overcapacity refers to the overcapacity caused by fluctuations in economic operation and changes in macro-control policies, often involving multiple cyclical industries. The degree of cyclical overcapacity is relatively high and may last for several years, so it should be properly intervened through cross cycle adjustment policies. Structural overcapacity refers to the overcapacity caused by improper implementation of industrial policies, transformation of demand structure, change of production technology. It may occur in a single or multiple industries and should be addressed through comprehensive measures including supply-side structural reform and demand-side management.
- overcapacity,
- frictional overcapacity,
- cyclical overcapacity,
- structural overcapacity

FullText(HTML)

References(31)

References

[1]	CHAMBERLIN E H. The Theory of Monopolistic Competition [M]. Harvard: Harvard University Press, 1933.
[2]	江飞涛,曹建海. 市场失灵还是体制扭曲−重复建设形成机理研究中的争论、缺陷与新进展[J]. 中国工业经济,2009(1):53-64.
[3]	卢锋. 治理产能过剩问题（1999—2009）[C/OL]. （2012-07-21）[2023-08-13]. https://kns.cnki.net.
[4]	张晓晶. 产能过剩并非“洪水猛兽”——兼论当前讨论中存在的误区[N]. 学习时报, 2016-4-（10）.
[5]	江源. 钢铁等行业产能利用评价[J]. 统计研究,2006(12):13-19.
[6]	钟春平,潘黎. “产能过剩”的误区−产能利用率及产能过剩的进展、争议及现实判断[J]. 经济学动态,2014(3):35-47.
[7]	曲玥. 中国工业产能利用率−基于企业数据的测算[J]. 经济与管理评论,2015(1):49-56.
[8]	何彬. 基于窖藏行为的产能过剩形成机理及其波动性特征研究[D]. 长春: 吉林大学, 2008.
[9]	孙巍,何彬,武治国. 现阶段工业产能过剩“窖藏效应”的数理分析及其实证检验[J]. 吉林大学社会科学学报,2008(1):68-75.
[10]	SPENCE M. Product selection,fixed costs,and monopolistic competition [J]. The Review of Economic Studies, 1976, 43,(2):217-235. doi: 10.2307/2297319
[11]	DIXIT A. A model of duopoly suggesting:a theory of entry barriers [J]. Bell Journal of Economics, 1979, 10,(1):20-32. doi: 10.2307/3003317
[12]	周黎安. 晋升博弈中政府官员的激励与合作−兼论我国地方保护主义和重复建设问题长期存在的原因[J]. 经济研究,2004(6):33-40.
[13]	国务院发展研究中心《进一步化解产能过剩的政策研究》课题组. 当前我国产能过剩的特征、风险及对策研究−基于实地调研及微观数据的分析[J]. 管理世界,2015(4):1-10.
[14]	江飞涛,耿强,吕大国,等. 地区竞争、体制扭曲与产能过剩的形成机理[J]. 中国工业经济,2012(6):44-56.
[15]	寇宗来,刘学悦,刘瑾. 产业政策导致了产能过剩吗?−基于中国工业行业的经验研究[J]. 复旦学报(社会科学版),2017(5):148-161.
[16]	韩国高,高铁梅,王立国,等. 中国制造业产能过剩的测度、波动及成因研究[J]. 经济研究,2011(12):18-31.
[17]	包群, 唐诗, 刘碧. 地方竞争、主导产业雷同与国内产能过剩[J]. 世界经济, 2017, 40（10）: 144-169.
[18]	徐业坤,马光源. 地方官员变更与企业产能过剩[J]. 经济研究,2019(5):129-145.
[19]	余东华,吕逸楠. 政府不当干预与战略性新兴产业产能过剩−以中国光伏产业为例[J]. 中国工业经济,2015(10):53-68.
[20]	于斌斌,吴银忠. 就业−产业结构协调发展能化解产能过剩吗?[J]. 中国人口·资源与环境,2020(8):128-139.
[21]	张新海. 产能过剩的定量测度与分类治理[J]. 宏观经济管理,2010(1):50-51.
[22]	陈文玲. 化解过剩产能需要新思路[J]. 中国经济报告,2014(3):61-64.
[23]	殷保达. 中国产能过剩治理的再思考[J]. 经济纵横,2012(4):82-85.
[24]	时红秀. 分类施策:有效治理产能过剩[J]. 行政管理改革,2014(3):17-21.
[25]	贾帅帅,徐滇庆. 产能过剩悖论与中国投资扩张之谜−一个新的解释[J]. 经济学家,2016(11):71-82.
[26]	马克思. 马克思恩格斯全集（第25卷上）[M]. 北京: 人民出版社, 2001.
[27]	林毅夫,巫和懋,邢亦青. “潮涌现象”与产能过剩的形成机制[J]. 经济研究,2010,45(10):4-19.
[28]	白让让. 竞争驱动、政策干预与产能扩张−兼论“潮涌现象”的微观机制[J]. 经济研究,2016,51(11):56-69.
[29]	夏旭田. 多地加码大数据产业, 14地产值目标数倍于国家规划[N]. 21世纪经济报道, 2017-04-06（003）.
[30]	韩奇. 双循环新发展格局的系统论视野[J]. 北京科技大学学报(社会科学版),2021,37(5):470-477.
[31]	习近平. 高举中国特色社会主义伟大旗帜为全面建设社会主义现代化国家而团结奋斗——在中国共产党第二十次全国代表大会上的报告[M]. 北京: 人民出版社, 2022.