IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v46y2015ip2p12-21.html
   My bibliography  Save this article

Evaluating the effect of coal mine safety supervision system policy in China's coal mining industry: A two-phase analysis

Author

Listed:
  • Chen, Sen-Sen
  • Xu, Jin-Hua
  • Fan, Ying

Abstract

The construction of a vertical-management system of coal mine safety supervision since 2000 is an important measure to improve coal mine safety in China. This paper examines its effect on coal mine production safety by combining the structural break test, by which the establishment of the supervision system is divided into two phases (2000–2009 and 2010–2013), with an unbiased grey Markov model. This paper then proposes a staged evaluation framework through considering the respective characteristics of sample data and model applicability. The results show that the models are suitable for forecasting the death rate per million tons (DRPMT) of coal due to their desirable characteristics. Coal mine safety has significantly improved since 2000 with the constant decline of DRPMT due to the gradual construction of supervision institutions, which produced increasingly positive institutional effect (2.3373 persons/million tons) in the first phase. However, the benefit from institution construction was close to zero (0.0667 persons per million tons per year) in the second phase due to a supervision-institution construction standstill. By analyzing the current problems, this paper suggests continuing to improve the current supervision system for coal mine safety through further adjusting respective functions of "State Supervision" and local regulation departments; namely, reducing the regulation functions in the "State Supervision", improving its supervising ability for local regulation departments and playing a leading role in coal mine accident investigation.

Suggested Citation

  • Chen, Sen-Sen & Xu, Jin-Hua & Fan, Ying, 2015. "Evaluating the effect of coal mine safety supervision system policy in China's coal mining industry: A two-phase analysis," Resources Policy, Elsevier, vol. 46(P2), pages 12-21.
  • Handle: RePEc:eee:jrpoli:v:46:y:2015:i:p2:p:12-21
    DOI: 10.1016/j.resourpol.2015.07.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420715000677
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2015.07.004?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. Chen, Hong & Feng, Qun & Cao, Jing, 2014. "Rent-seeking mechanism for safety supervision in the Chinese coal industry based on a tripartite game model," Energy Policy, Elsevier, vol. 72(C), pages 140-145.
    2. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    3. Shen, Lei & Gao, Tian-ming & Cheng, Xin, 2012. "China's coal policy since 1979: A brief overview," Energy Policy, Elsevier, vol. 40(C), pages 274-281.
    4. Song, Xiaoqian & Mu, Xiaoyi, 2013. "The safety regulation of small-scale coal mines in China: Analysing the interests and influences of stakeholders," Energy Policy, Elsevier, vol. 52(C), pages 472-481.
    5. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Yuxin & Fu, Gui & Lyu, Qian & Wu, Yali & Jia, Qinsong & Yang, Xiaoyu & Li, Xiao, 2022. "Reform and development of coal mine safety in China: An analysis from government supervision, technical equipment, and miner education," Resources Policy, Elsevier, vol. 77(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. Ruipeng Tong & Yanwei Zhang & Pengcheng Cui & Cunli Zhai & Meng Shi & Surui Xu, 2018. "Characteristic Analysis of Unsafe Behavior by Coal Miners: Multi-Dimensional Description of the Pan-Scene Data," IJERPH, MDPI, vol. 15(8), pages 1-18, July.
    4. Liu, Quanlong & Wang, Jingzhi & Qiu, Zunxiang, 2023. "Data as evidence: Research on the influencing factors and mechanisms of coal mine safety supervision effect in China," Resources Policy, Elsevier, vol. 81(C).
    5. Li, Shuang & Yang, Qifeng & Zhang, Yuhang & Liu, Jiao, 2022. "Multi-agent evolutionary game analysis of the coal mine on-site regulatory mode," Resources Policy, Elsevier, vol. 77(C).
    6. Qiao, Wanguan & Li, Xinchun & Liu, Quanlong, 2019. "Systemic approaches to incident analysis in coal mines: Comparison of the STAMP, FRAM and “2–4” models," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    7. Wu, Bing & Wang, Jingxin & Qu, Baolin & Qi, Pengyuan & Meng, Yu, 2023. "Development, effectiveness, and deficiency of China's Coal Mine Safety Supervision System," Resources Policy, Elsevier, vol. 82(C).
    8. Shitao Gong & Xin Gao & Zhou Li & Linyan Chen, 2021. "Developing a Dynamic Supervision Mechanism to Improve Construction Safety Investment Supervision Efficiency in China: Theoretical Simulation of Evolutionary Game Process," IJERPH, MDPI, vol. 18(7), pages 1-29, March.
    9. Liu, Lu & Zhao, Qiuhong & Bi, Yanlin, 2020. "Why rent-seeking behavior may exist in Chinese mining safety production inspection system and how to alleviate it: A tripartite game analysis," Resources Policy, Elsevier, vol. 69(C).
    10. Zhang, Yan & Wang, Si-Xia & Yao, Jian-Ting & Tong, Rui-Peng, 2023. "The impact of behavior safety management system on coal mine work safety: A system dynamics model of quadripartite evolutionary game," Resources Policy, Elsevier, vol. 82(C).
    11. Dzonzi-Undi, Junice & Li, Shixiang, 2016. "Safety and environmental inputs investment effect analysis: Empirical study of selected coal mining firms in China," Resources Policy, Elsevier, vol. 47(C), pages 178-186.
    12. Mavhura, Emmanuel, 2019. "A systems approach for assessing emergency preparedness in underground mines of Zimbabwe," Resources Policy, Elsevier, vol. 62(C), pages 1-8.
    13. Tianmo Zhou & Yunqiang Zhu & Kai Sun & Jialin Chen & Shu Wang & Huazhong Zhu & Xiaoshuang Wang, 2022. "Variance Analysis in China’s Coal Mine Accident Studies Based on Data Mining," IJERPH, MDPI, vol. 19(24), pages 1-27, December.
    14. Han, Shuai & Chen, Hong & Stemn, Eric & Owen, John, 2019. "Interactions between organisational roles and environmental hazards: The case of safety in the Chinese coal industry," Resources Policy, Elsevier, vol. 60(C), pages 36-46.

    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, Lu & Zhao, Qiuhong & Bi, Yanlin, 2020. "Why rent-seeking behavior may exist in Chinese mining safety production inspection system and how to alleviate it: A tripartite game analysis," Resources Policy, Elsevier, vol. 69(C).
    2. 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.
    3. Shuai Han & Hong Chen & Maggie-Anne Harvey & Eric Stemn & David Cliff, 2018. "Focusing on Coal Workers’ Lung Diseases: A Comparative Analysis of China, Australia, and the United States," IJERPH, MDPI, vol. 15(11), pages 1-26, November.
    4. Shuai Han & Hong Chen & Ruyin Long, 2020. "Who Reports Low Interactive Psychology Status? An Investigation Based on Chinese Coal Miners," IJERPH, MDPI, vol. 17(10), pages 1-20, May.
    5. Liu, Quanlong & Wang, Jingzhi & Qiu, Zunxiang, 2023. "Data as evidence: Research on the influencing factors and mechanisms of coal mine safety supervision effect in China," Resources Policy, Elsevier, vol. 81(C).
    6. Li, Shuang & Yang, Qifeng & Zhang, Yuhang & Liu, Jiao, 2022. "Multi-agent evolutionary game analysis of the coal mine on-site regulatory mode," Resources Policy, Elsevier, vol. 77(C).
    7. Xu, Hangtian & Nakajima, Kentaro, 2016. "Did China's coal mine regulation positively affect economic growth?," Resources Policy, Elsevier, vol. 50(C), pages 160-168.
    8. Liu, Quanlong & Li, Xinchun & Qiao, Wanguan & Meng, Xianfei & Li, Xiangong & Shi, Tian, 2017. "Analysis of embedded non-safety regulation games in China's two types of coal mines through safety performance disparity, 1980–2014," Resources Policy, Elsevier, vol. 51(C), pages 265-271.
    9. Bilal Mehmood & Syed Hassan Raza & Mahwish Rana & Huma Sohaib & Muhammad Azhar Khan, 2014. "Triangular Relationship between Energy Consumption, Price Index and National Income in Asian Countries: A Pooled Mean Group Approach in Presence of Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 610-620.
    10. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," Working Papers halshs-00564897, HAL.
    11. Bernard, Jean-Thomas & Idoudi, Nadhem & Khalaf, Lynda & Yelou, Clement, 2007. "Finite sample multivariate structural change tests with application to energy demand models," Journal of Econometrics, Elsevier, vol. 141(2), pages 1219-1244, December.
    12. Nuruddeen Usman & Kodili Nwanneka & Nduka, 2023. "Announcement Effect of COVID-19 on Cryptocurrencies," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 3(3), pages 1-4.
    13. Mina Kim & Deokwoo Nam & Jian Wang & Jason J. Wu, 2013. "International trade price stickiness and exchange rate pass-through in micro data: a case study on U.S.–China trade," Globalization Institute Working Papers 135, Federal Reserve Bank of Dallas.
    14. Marfatia, Hardik A., 2015. "Monetary policy's time-varying impact on the US bond markets: Role of financial stress and risks," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 103-123.
    15. Vicente Esteve & Manuel Navarro-Ibáñez & María A. Prats, 2013. "The present value model of US stock prices revisited: long-run evidence with structural breaks, 1871-2010," Working Papers 04/13, Instituto Universitario de Análisis Económico y Social.
    16. Kumar, Nikeel Nishkar & Patel, Arvind, 2023. "Nonlinear effect of air travel tourism demand on economic growth in Fiji," Journal of Air Transport Management, Elsevier, vol. 109(C).
    17. Murach, Michael & Wagner, Helmut & Kim, Jungsuk & Park, Donghyun, 2022. "Trajectories to high income: Comparing the growth dynamics in China, South Korea, and Japan with cointegrated VAR models," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 492-511.
    18. Karakotsios, Achillefs & Katrakilidis, Constantinos & Kroupis, Nikolaos, 2021. "The dynamic linkages between food prices and oil prices. Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    19. Salisu, Afees A. & Adekunle, Wasiu & Alimi, Wasiu A. & Emmanuel, Zachariah, 2019. "Predicting exchange rate with commodity prices: New evidence from Westerlund and Narayan (2015) estimator with structural breaks and asymmetries," Resources Policy, Elsevier, vol. 62(C), pages 33-56.
    20. Pierre Perron & Yohei Yamamoto, 2022. "Structural change tests under heteroskedasticity: Joint estimation versus two‐steps methods," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 389-411, May.

    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:46:y:2015:i:p2:p:12-21. 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.