IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p1232-d744406.html
   My bibliography  Save this article

Evaluation and Dynamic Evolution of the Total Factor Environmental Efficiency in China’s Mining Industry

Author

Listed:
  • Xiangqian Wang

    (College of Economy and Management, Anhui University of Science & Technology, Huainan 232001, China)

  • Shudong Wang

    (College of Economy and Management, Anhui University of Science & Technology, Huainan 232001, China
    College of Economy and Management, Huainan Union University, Huainan 232001, China)

  • Yongqiu Xia

    (College of Economy and Management, Anhui University of Science & Technology, Huainan 232001, China)

Abstract

The mining industry plays an extremely important strategic role in China’s economic and social development. In the new era of pursuing circular/green/efficient development, the evaluation of the total factor environmental efficiency (TFEE) of China’s mining industry is essential for alleviating resource waste and environmental pollution. The Epsilon-Based Measure (EBM) model effectively solves the shortcomings of radial and non-radial DEA models. In addition, the Malmquist–Luenberger (ML) index can measure the dynamic change of efficiency value. Combining the EBM model and the ML productivity index, this paper evaluates the TFEE from the static and dynamic perspective in China’s 31 provincial mining industries over the period 2007–2016. The Theil index is employed to reveal the root of the overall provincial TFEE gap (OGTFEE) in China’s mining industry. The results show that the average total factor static environmental efficiency (TFSEE) of China’s provincial mining industry exhibits a low score of 0.6589 and with significant spatio-temporal differences. The provincial TFEE gap within four major areas (WGTFEE), especially that in east and west areas, is the main cause of the OGTFEE in China’s mining industry. Technical change contributes more to the TFEE decline in China’s mining industry. There are differences in improving the TFEE among China’s 31 provincial mining industries, and corresponding countermeasures can be formulated accordingly. This study provides theoretical and practical basis for the clean and green development of China’s mining industry.

Suggested Citation

  • Xiangqian Wang & Shudong Wang & Yongqiu Xia, 2022. "Evaluation and Dynamic Evolution of the Total Factor Environmental Efficiency in China’s Mining Industry," Energies, MDPI, vol. 15(3), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1232-:d:744406
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/1232/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/3/1232/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sun, Huaping & Edziah, Bless Kofi & Kporsu, Anthony Kwaku & Sarkodie, Samuel Asumadu & Taghizadeh-Hesary, Farhad, 2021. "Energy efficiency: The role of technological innovation and knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Frank A. Cowell, 1980. "On the Structure of Additive Inequality Measures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(3), pages 521-531.
    3. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    4. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    5. Ke-Liang Wang & Jianguo Wang & Jianming Wang & Lili Ding & Mingsong Zhao & Qunwei Wang, 2020. "Investigating the spatiotemporal differences and influencing factors of green water use efficiency of Yangtze River Economic Belt in China," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-24, April.
    6. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.
    7. Bourguignon, Francois, 1979. "Decomposable Income Inequality Measures," Econometrica, Econometric Society, vol. 47(4), pages 901-920, July.
    8. Kui Yang & Taiyang Zhong & Yu Zhang & Qi Wen, 2020. "Total factor productivity of urban land use in China," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1784-1803, December.
    9. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    10. Song, Malin & Peng, Jun & Wang, Jianlin & Zhao, Jiajia, 2018. "Environmental efficiency and economic growth of China: A Ray slack-based model analysis," European Journal of Operational Research, Elsevier, vol. 269(1), pages 51-63.
    11. Li, Ying & Chiu, Yung-ho & Lin, Tai-Yu, 2019. "Coal production efficiency and land destruction in China's coal mining industry," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    12. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-625, April.
    13. Avkiran, Necmi K. & Rowlands, Terry, 2008. "How to better identify the true managerial performance: State of the art using DEA," Omega, Elsevier, vol. 36(2), pages 317-324, April.
    14. Wang, Shuhong & Zhao, Danqing & Chen, Hanxue, 2020. "Government corruption, resource misallocation, and ecological efficiency," Energy Economics, Elsevier, vol. 85(C).
    15. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Energy and Environmental Efficiency in Different Chinese Regions," Sustainability, MDPI, vol. 11(4), pages 1-26, February.
    16. Necmi Avkiran & Kaoru Tone & Miki Tsutsui, 2008. "Bridging radial and non-radial measures of efficiency in DEA," Annals of Operations Research, Springer, vol. 164(1), pages 127-138, November.
    17. Kaoru Tone & Miki Tsutsui, 2010. "An epsilon-based measure of efficiency in DEA revisited -A third pole of technical efficiency," GRIPS Discussion Papers 09-21, National Graduate Institute for Policy Studies.
    18. Sun, Huaping & Kporsu, Anthony Kwaku & Taghizadeh-Hesary, Farhad & Edziah, Bless Kofi, 2020. "Estimating environmental efficiency and convergence: 1980 to 2016," Energy, Elsevier, vol. 208(C).
    19. Zhu, Xuehong & Chen, Ying & Feng, Chao, 2018. "Green total factor productivity of China's mining and quarrying industry: A global data envelopment analysis," Resources Policy, Elsevier, vol. 57(C), pages 1-9.
    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. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    2. Mohammed Atris, Amani, 2020. "Assessment of oil refinery performance: Application of data envelopment analysis-discriminant analysis," Resources Policy, Elsevier, vol. 65(C).
    3. Li, Ying & Cen, Hongyi & Lin, Tai-Yu & Lin, Yi-Nuo & Chiu, Yung-Ho, 2022. "Sustainable coal mine and coal land development in China," Resources Policy, Elsevier, vol. 79(C).
    4. Florence Appiah-Twum & Xingle Long, 2023. "Human Capital, Trade Competitiveness and Environmental Efficiency Convergence Across Asia Pacific Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 109-132, May.
    5. Casilda Lasso de la Vega & Ana Urrutia & Oscar Volij, 2011. "An Axiomatic Characterization Of The Theil Inequality Order," Working Papers 1103, Ben-Gurion University of the Negev, Department of Economics.
    6. Tugce, Cuhadaroglu, 2013. "My Group Beats Your Group: Evaluating Non-Income Inequalities," SIRE Discussion Papers 2013-49, Scottish Institute for Research in Economics (SIRE).
    7. Maria Cubel & Peter Lambert, 2002. "Progression-neutral income tax reforms and horizontal inequity," Journal of Economics, Springer, vol. 77(1), pages 1-8, December.
    8. Teixidó Figueras, Jordi & Duro Moreno, Juan Antonio, 2012. "Ecological Footprint Inequality: A methodological review and some results," Working Papers 2072/203168, Universitat Rovira i Virgili, Department of Economics.
    9. François Bourguignon & Francisco de Hollanda Guimarães Ferreira, 2000. "Understanding inequality in Brazil: a conceptual overview," Textos para discussão 434, Department of Economics PUC-Rio (Brazil).
    10. Stephen P. Jenkins & John Micklewright, 2007. "New Directions in the Analysis of Inequality and Poverty," Discussion Papers of DIW Berlin 700, DIW Berlin, German Institute for Economic Research.
    11. Kam Ki Tang & Dennis Petrie, 2009. "Non-Hierarchical Bivariate Decomposition of Theil Indexes," Economics Bulletin, AccessEcon, vol. 29(2), pages 918-927.
    12. Nicole Palan, 2010. "Measurement of Specialization – The Choice of Indices," FIW Working Paper series 062, FIW.
    13. Arthur Charpentier & Stéphane Mussard, 2011. "Income inequality games," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(4), pages 529-554, December.
    14. Casilda Lasso de la Vega & Ana Urrutia, 2008. "The ‘Extended’ Atkinson family: The class of multiplicatively decomposable inequality measures, and some new graphical procedures for analysts," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(2), pages 211-225, June.
    15. Eva Camacho-Cuena & Tibor Neugebauer & Christian Seidl, 2007. "Leaky Buckets Versus Compensating Justice: An Experimental Investigation," Working Papers 74, ECINEQ, Society for the Study of Economic Inequality.
    16. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    17. 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).
    18. Satya Chakravarty, 2001. "The Variance as a subgroup decomposable measure of inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 53(1), pages 79-95, January.
    19. Thomas Knaus & Miriam Beblo, 2000. "Measuring Income Inequality in Euroland," LIS Working papers 232, LIS Cross-National Data Center in Luxembourg.
    20. BEBLO Miriam & KNAUS Thomas, 2000. "Measuring Income Inequality in Euroland," IRISS Working Paper Series 2000-10, IRISS at CEPS/INSTEAD.

    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:gam:jeners:v:15:y:2022:i:3:p:1232-:d:744406. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.