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The spatiotemporal effect of factor price distortion on capacity utilization in China’s iron and steel industry

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  • Wang, Xiaolei
  • Deng, Renxin
  • Yang, Yufang

Abstract

Under the situation of global climate change and green transition, China’s iron & steel industry (ISI) faced great pressure to energy conservation and cut backward overcapacity. To explore the characteristics of overcapacity and inherent impacting factor of capacity utilization, the study focused on the relationship of incomplete input factor market and overcapacity. Based on provincial data from 2003 to 2019, the study estimated capacity utilization rate in China’s ISI sector, and further evaluated the impact of factor price distortion on capacity utilization rate and its spatiotemporal effect through dynamic spatial model. Firstly, the capacity utilization rate China’s ISI sector showed regional heterogeneity with an average level of 68%, and the capacity utilization rate would be promoted by previous capacity utilization rate and capacity utilization rate of neighbor provinces; Secondly, capital and energy price distortion showed significant negative effect on capacity utilization, while labor price distortion positively promoted capacity utilization; Thirdly, from the perspective of spatial effect, capital price distortion showed significantly negative effect on capacity utilization. Therefore, deepening factor market reform and reducing the intervention of local government would be effective way to improve capacity utilization and promote cleaning production.

Suggested Citation

  • Wang, Xiaolei & Deng, Renxin & Yang, Yufang, 2023. "The spatiotemporal effect of factor price distortion on capacity utilization in China’s iron and steel industry," Resources Policy, Elsevier, vol. 86(PA).
    • Handle: RePEc:eee:jrpoli:v:86:y:2023:i:pa:s0301420723008620
    DOI: 10.1016/j.resourpol.2023.104151
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    as
    1. Deng, Zhongqi & Jiang, Nan & Song, Shunfeng & Pang, Ruizhi, 2021. "Misallocation and price distortions: A revenue decomposition of medical service providers in China," China Economic Review, Elsevier, vol. 65(C).
    2. Yang, Qing & Hou, Xiaochao & Zhang, Lei, 2018. "Measurement of natural and cyclical excess capacity in China's coal industry," Energy Policy, Elsevier, vol. 118(C), pages 270-278.
    3. Greenblatt, R.E., 2017. "Oscillatory dynamics of investment and capacity utilization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 486-493.
    4. Ju, Keyi & Su, Bin & Zhou, Dequn & Wu, Junmin, 2017. "Does energy-price regulation benefit China's economy and environment? Evidence from energy-price distortions," Energy Policy, Elsevier, vol. 105(C), pages 108-119.
    5. Wei, Xu & Chen, Yongwei & Zhou, Mohan & Zhou, Yi, 2016. "SOE preference and credit misallocation: A model and some evidence from China," Economics Letters, Elsevier, vol. 138(C), pages 38-41.
    6. Dai, Xiaoyong & Zhao, Zhiqi, 2021. "Can exporting resolve overcapacity? Evidence from Chinese steel companies," Economic Modelling, Elsevier, vol. 102(C).
    7. Wang, Miao & Feng, Chao, 2023. "Measuring capacity utilization under the constraints of energy consumption and CO2 emissions using meta-frontier DEA: A case of China's non-ferrous metal industries," Resources Policy, Elsevier, vol. 80(C).
    8. Hu, Zhengbiao & He, Dongfeng & Zhao, Hongbo, 2023. "Multi-objective optimization of energy distribution in steel enterprises considering both exergy efficiency and energy cost," Energy, Elsevier, vol. 263(PB).
    9. Wang, Delu & Wang, Yadong & Song, Xuefeng & Liu, Yun, 2018. "Coal overcapacity in China: Multiscale analysis and prediction," Energy Economics, Elsevier, vol. 70(C), pages 244-257.
    10. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    11. Li, Mengjie & Du, Weijian, 2022. "Opening the black box of capacity governance: Environmental regulation and capacity utilization of microcosmic firms in China," Economic Modelling, Elsevier, vol. 108(C).
    12. Lin, Boqiang & Wang, Chonghao, 2023. "Does industrial relocation affect regional carbon intensity? Evidence from China's secondary industry," Energy Policy, Elsevier, vol. 173(C).
    13. Chen, Jiachun & Chen, Xia & Hou, Qingsong & Hu, May, 2021. "Haste doesn't bring success: Top-down amplification of economic growth targets and enterprise overcapacity," Journal of Corporate Finance, Elsevier, vol. 70(C).
    14. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2021. "Exploring the dilemma of overcapacity governance in China's coal industry: A tripartite evolutionary game model," Resources Policy, Elsevier, vol. 71(C).
    15. Sha, Ru & Li, Jinye & Ge, Tao, 2021. "How do price distortions of fossil energy sources affect China's green economic efficiency?," Energy, Elsevier, vol. 232(C).
    16. Wu, Qingyang & Chang, Siqi & Bai, Caiquan & Wei, Wendong, 2023. "How do zombie enterprises hinder climate change action plans in China?," Energy Economics, Elsevier, vol. 124(C).
    17. Ren, Ming & Lu, Pantao & Liu, Xiaorui & Hossain, M.S. & Fang, Yanru & Hanaoka, Tatsuya & O'Gallachoir, Brian & Glynn, James & Dai, Hancheng, 2021. "Decarbonizing China’s iron and steel industry from the supply and demand sides for carbon neutrality," Applied Energy, Elsevier, vol. 298(C).
    18. Ouyang, Xiaoling & Fang, Xingming & Cao, Yan & Sun, Chuanwang, 2020. "Factors behind CO2 emission reduction in Chinese heavy industries: Do environmental regulations matter?," Energy Policy, Elsevier, vol. 145(C).
    19. Mariassunta Giannetti & Guanmin Liao & Xiaoyun Yu, 2015. "The Brain Gain of Corporate Boards: Evidence from China," Journal of Finance, American Finance Association, vol. 70(4), pages 1629-1682, August.
    20. Liu, Wen-Hsien & Chung, Ching-Fan & Chang, Kuang-Liang, 2013. "Inventory change, capacity utilization and the semiconductor industry cycle," Economic Modelling, Elsevier, vol. 31(C), pages 119-127.
    21. Umar, Zaghum & Kenourgios, Dimitris & Papathanasiou, Sypros, 2020. "The static and dynamic connectedness of environmental, social, and governance investments: International evidence," Economic Modelling, Elsevier, vol. 93(C), pages 112-124.
    22. Shen, Guangjun & Chen, Binkai, 2017. "Zombie firms and over-capacity in Chinese manufacturing," China Economic Review, Elsevier, vol. 44(C), pages 327-342.
    23. Ni, Jian & Huang, Hongzhi & Wang, Peipei & Zhou, Wei, 2020. "Capacity investment and green R&D in a dynamic oligopoly under the potential shift in environmental damage," Economic Modelling, Elsevier, vol. 88(C), pages 312-319.
    24. Lan, Bingying & Dong, Ke & Li, Li & Lei, Yalin & Wu, Sanmang & Hua, Ershi & Sun, Ruyi, 2023. "CO2 emission reduction pathways of iron and steel industry in Shandong based on CO2 emission equity and efficiency," Resources Policy, Elsevier, vol. 81(C).
    25. Qiao, Sen & Chen, Hsing Hung & Zhang, Rong Rong, 2021. "Examining the impact of factor price distortions and social welfare on innovation efficiency from the microdata of Chinese renewable energy industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    26. Li, Ke & Zou, Danyu & Li, Hailing, 2023. "Environmental regulation and green technical efficiency: A process-level data envelopment analysis from Chinese iron and steel enterprises," Energy, Elsevier, vol. 277(C).
    27. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    28. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "The driving forces and potential mitigation of energy-related CO2 emissions in China's metal industry," Resources Policy, Elsevier, vol. 59(C), pages 487-494.
    29. Liu, Guangqiang & Zhang, Xiaojie & Zhang, Wanting & Wang, Di, 2019. "The impact of government subsidies on the capacity utilization of zombie firms," Economic Modelling, Elsevier, vol. 83(C), pages 51-64.
    30. Li, Zheng-Zheng & Su, Chi-Wei & Chang, Tsangyao & Lobonţ, Oana-Ramona, 2022. "Policy-driven or market-driven? Evidence from steam coal price bubbles in China," Resources Policy, Elsevier, vol. 78(C).
    31. Ma, Hongqi & Mei, Xinxiang & Tian, Yuan, 2020. "The impacts and potential mechanisms of credit support with regard to overcapacity: Based on theoretical and empirical analyses of steel enterprises," Resources Policy, Elsevier, vol. 68(C).
    32. Dong, Kaiqiang & Sun, Wei, 2022. "Would the market mechanism cause the formation of overcapacity?: Evidence from Chinese listed firms of manufacturing industry," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 97-113.
    33. Shi, Xunpeng & Sun, Sizhong, 2017. "Energy price, regulatory price distortion and economic growth: A case study of China," Energy Economics, Elsevier, vol. 63(C), pages 261-271.
    34. Yu, Shiwei & Lu, Tingwei & Hu, Xing & Liu, Lancui & Wei, Yi-Ming, 2021. "Determinants of overcapacity in China’s renewable energy industry: Evidence from wind, photovoltaic, and biomass energy enterprises," Energy Economics, Elsevier, vol. 97(C).
    35. Xu, Jiayue & Lu, Caiwu & Ruan, Shunling & Xiong, Neal N., 2022. "Estimating the efficiency and potential of China's steel products export to countries along the “Belt and Road” under interconnection: An application of extended stochastic frontier gravity model," Resources Policy, Elsevier, vol. 75(C).
    36. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2022. "Exploring the multidimensional effects of China's coal de-capacity policy: A regression discontinuity design," Resources Policy, Elsevier, vol. 75(C).
    37. Yuyaun Tan & Yiping Huang & Wing Thye Woo, 2016. "Zombie Firms and the Crowding-Out of Private Investment in China," Asian Economic Papers, MIT Press, vol. 15(3), pages 32-55, Fall.
    38. Xu, Mengmeng & Lin, Boqiang, 2022. "Energy efficiency gains from distortion mitigation: A perspective on the metallurgical industry," Resources Policy, Elsevier, vol. 77(C).
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