IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v86y2023ipbs0301420723009856.html
   My bibliography  Save this article

Spatial and temporal convergence of provincial coal mine safety accidents and production and their influencing factors: Data from 23 coal-producing provinces in China (2005–2021)

Author

Listed:
  • Yinnan, He
  • Ruxiang, Qin
  • Bangjun, Wang

Abstract

As a high-risk industry, coal mine safety accidents can create significant loss of life and property to the nation and its people. In this work, a nonlinear time-varying factor model was adopted to investigate the spatial and temporal variation rule of coal mine safety accidents and coal production in 23 provinces of China from 2005 to 2021. The driving factors of coal mine safety accidents in 2005, 2010, 2015 and 2020 were analyzed using the geographical detector method. We further obtained the explanatory power of the primary factors and the change process of interaction. The findings showed that there are convergence clubs for both the number of coal mine safety accidents and coal production in the Chinese provinces. However, the geographical distribution of the convergence clubs varied. The geographical detector results indicated that coal mine safety accidents are affect by a combination of factors. The explanatory power of each factor for coal mine safety accidents changed over time. Notably, the explanatory power of coal production for coal mine safety accidents decreased. Industry structure, salary, security inputs, coal consumption and gross domestic product (GDP) played a significant role. The lever of impact of each factor on coal mine safety accidents was enhanced after interaction. The relationship between the factors entailed nonlinear enhanced interaction. The research findings not only contribute to a greater understanding of the macroscopic patterns of accident occurrence but also increase the awareness of the government and enterprises regarding the driving factors of coal mine safety accidents. Furthermore, such research holds crucial significance for precise prevention and control of coal mine safety accidents.

Suggested Citation

  • Yinnan, He & Ruxiang, Qin & Bangjun, Wang, 2023. "Spatial and temporal convergence of provincial coal mine safety accidents and production and their influencing factors: Data from 23 coal-producing provinces in China (2005–2021)," Resources Policy, Elsevier, vol. 86(PB).
  • Handle: RePEc:eee:jrpoli:v:86:y:2023:i:pb:s0301420723009856
    DOI: 10.1016/j.resourpol.2023.104274
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420723009856
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2023.104274?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mussini, Mauro, 2020. "Inequality and convergence in energy intensity in the European Union," Applied Energy, Elsevier, vol. 261(C).
    2. Qiao, Wanguan & Liu, Quanlong & Li, Xinchun & Luo, Xixi & Wan, YuLong, 2018. "Using data mining techniques to analyze the influencing factor of unsafe behaviors in Chinese underground coal mines," Resources Policy, Elsevier, vol. 59(C), pages 210-216.
    3. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 407-443.
    4. Zhang, Rui & Qie, Xiaotong & Hu, Yanyong & Chen, Xue, 2022. "Does de-capacity policy promote the efficient and green development of the coal industry? –Based on the evidence of China," Resources Policy, Elsevier, vol. 77(C).
    5. Bhattacharya, Mita & Inekwe, John N. & Sadorsky, Perry, 2020. "Consumption-based and territory-based carbon emissions intensity: Determinants and forecasting using club convergence across countries," Energy Economics, Elsevier, vol. 86(C).
    6. Kerui Du, 2017. "Econometric convergence test and club clustering using Stata," Stata Journal, StataCorp LP, vol. 17(4), pages 882-900, December.
    7. Feng Li & Guangdong Li & Weishan Qin & Jing Qin & Haitao Ma, 2018. "Identifying Economic Growth Convergence Clubs and Their Influencing Factors in China," Sustainability, MDPI, vol. 10(8), pages 1-21, July.
    8. Li, Jinhu & Ye, Xinhao & Burra, Kiran G. & Lu, Wei & Wang, Zhiwei & Liu, Xuan & Gupta, Ashwani K., 2023. "Synergistic effects during co-pyrolysis and co-gasification of polypropylene and polystyrene," Applied Energy, Elsevier, vol. 336(C).
    9. Malin Song & Jianlin Wang & Jiajia Zhao & Tomas Baležentis & Zhiyang Shen, 2020. "Production and safety efficiency evaluation in Chinese coal mines: accident deaths as undesirable output," Annals of Operations Research, Springer, vol. 291(1), pages 827-845, August.
    10. Hao, Yu & Peng, Hui, 2017. "On the convergence in China's provincial per capita energy consumption: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 68(C), pages 31-43.
    11. You, Mengjie & Li, Shuang & Li, Dingwei & Cao, Qingren & Xu, Feng, 2020. "Evolutionary game analysis of coal-mine enterprise internal safety inspection system in China based on system dynamics," Resources Policy, Elsevier, vol. 67(C).
    12. Zhao, Fei & Zhang, Sujin & Du, Quanda & Ding, Jieyu & Luan, Guize & Xie, Zhiqiang, 2021. "Assessment of the sustainable development of rural minority settlements based on multidimensional data and geographical detector method: A case study in Dehong, China," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Tie-Ying & Lee, Chien-Chiang, 2020. "Convergence of the world’s energy use," Resource and Energy Economics, Elsevier, vol. 62(C).
    2. Peng, Hua-Rong & Tan, Xiujie & Managi, Shunsuke & Taghizadeh-Hesary, Farhad, 2022. "Club convergence in energy efficiency of Belt and Road Initiative countries: The role of China’s outward foreign direct investment," Energy Policy, Elsevier, vol. 168(C).
    3. Saima Javed & Yu Rong & Babar Nawaz Abbasi, 2024. "Convergence analysis of artificial intelligence research capacity: Are the less developed catching up with the developed ones?," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(4), pages 2172-2192, May.
    4. Adolfo Meisel Rocs & Angela Granger Serrrano, 2022. "Estratificación territorial en la calidad de la educación superior en Colombia," Coyuntura Económica, Fedesarrollo, vol. 52, pages 11-34, December.
    5. Diego Aboal & Bibiana Lanzilotta & Martin Pereyra & Maria Paz Queraltó, 2020. "Regional Economic Development and Convergence Clubs in Uruguay," Documentos de Trabajo 17902, The Latin American and Caribbean Economic Association (LACEA).
    6. Yao Wang & Qiang Yang & Xuenan Wu & Ruichen Wang & Tilei Gao & Yuntong Liu, 2023. "A Study of Trends in Low-Energy Development Patterns in China: A Data-Driven Approach," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    7. Mariarosaria Comunale & Anh Dinh Minh Nguyen & Soroosh Soofi-Siavash, 2019. "Convergence and growth decomposition: an analysis on Lithuania," Bank of Lithuania Discussion Paper Series 17, Bank of Lithuania.
    8. He, Weijun & Chen, Hao, 2022. "Will China's provincial per capita energy consumption converge to a common level over 1990–2017? Evidence from a club convergence approach," Energy, Elsevier, vol. 249(C).
    9. Balado-Naves, Roberto & Baños-Pino, José Francisco & Mayor, Matías, 2023. "Spatial spillovers and world energy intensity convergence," Energy Economics, Elsevier, vol. 124(C).
    10. Matysiak, George & Olszewski, Krzysztof, 2019. "A Panel Analysis of Polish Regional Cities Residential Price Convergence in the Primary Market," MPRA Paper 94660, University Library of Munich, Germany.
    11. Kyungmin Kim, 2022. "Income inequality convergence: Evidence from the World Inequality Database," Economics Bulletin, AccessEcon, vol. 42(4), pages 1858-1873.
    12. Holmes, Mark J. & Iregui, Ana María & Otero, Jesús, 2019. "Interest rate convergence across maturities: Evidence from bank data in an emerging market economy," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 57-70.
    13. Jun Tu & Liangdong Wan & Zijiao Sun, 2023. "Safety Improvement of Sustainable Coal Transportation in Mines: A Contract Design Perspective," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    14. CATTARUZZO Sebastiano, 2020. "On R&D sectoral intensities and convergence clubs," JRC Working Papers on Corporate R&D and Innovation 2020-01, Joint Research Centre.
    15. Uğur Ursavaş & Carlos Mendez, 2023. "Regional income convergence and conditioning factors in Turkey: revisiting the role of spatial dependence and neighbor effects," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 363-389, October.
    16. Rodríguez Benavides, Domingo & Ceballos Minare, Owen Eli, 2022. "Clubes de convergencia regional en Colombia 2000-2016: un análisis flexible por departamentos," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 53, pages 47-65.
    17. Jiao Liu & Shuang Li & Weijun Bao & Kun Xu, 2022. "Could the Management System of Safety Partnership Change Miners’ Unsafe Behavior?," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    18. Makarov, Igor & Alataş, Sedat, 2024. "Production- and consumption-based emissions in carbon exporters and importers: A large panel data analysis for the EKC hypothesis," Applied Energy, Elsevier, vol. 363(C).
    19. Taştan, Hüseyin & Yıldız, Hakan, 2023. "Club convergence analysis of city-level electricity consumption in Turkey," Energy, Elsevier, vol. 265(C).
    20. Gina Ionela Butnaru & Alina-Petronela Haller & Raluca Irina Clipa & Mirela Ștefănică & Mihaela Ifrim, 2020. "The Nexus Between Convergence of Conventional and Renewable Energy Consumption in the Present European Union States. Explorative Study on Parametric and Semi-Parametric Methods," Energies, MDPI, vol. 13(20), pages 1-19, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:86:y:2023:i:pb:s0301420723009856. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.