IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v70y2021ics0301420720309636.html
   My bibliography  Save this article

Green total factor productivity of extractive industries in China: An explanation from technology heterogeneity

Author

Listed:
  • Fang, Chuandi
  • Cheng, Jinhua
  • Zhu, Yongguang
  • Chen, Jiahao
  • Peng, Xinjie

Abstract

Improving the green total factor productivity (GTFP) of the extractive industries is an important way to promote high-quality and green development of the extractive industries in China. Due to technological heterogeneity, the GTFP in China's extractive industries may be biased and cause efficiency losses. Therefore, we calculated the GTFP from 2006 to 2017 based on metafrontier and data envelopment analysis method, and analyzed the influencing factors. The results show that the contribution of the scale efficiency to the growth of the GTFP is greater than the technological progress from the perspective of the metafrontier. The metafrontier Malmquist-Luenberger index of the extractive industries in both the national and provincial dimensions is greater than one from 2006 to 2017. The technical gap ratio of each group is the inverted “N” type, which gradually increased from 2007 and reached its peak in 2010. The GMM model results show that foreign direct investment has a significant positive impact, and technology and innovation investment, resource endowment, and industrialization level have a significant negative impact. Based on the above results, we suggest that through the government incentive mechanism and related supporting measures, encourage the merger and reorganization among enterprises of extractive industry, strengthen multi-regional exchanges, and encourage the introduction of scarce technologies for clean production in the extractive industry.

Suggested Citation

  • Fang, Chuandi & Cheng, Jinhua & Zhu, Yongguang & Chen, Jiahao & Peng, Xinjie, 2021. "Green total factor productivity of extractive industries in China: An explanation from technology heterogeneity," Resources Policy, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:jrpoli:v:70:y:2021:i:c:s0301420720309636
    DOI: 10.1016/j.resourpol.2020.101933
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420720309636
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2020.101933?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. Walheer, Barnabé, 2018. "Economic growth and greenhouse gases in Europe: A non-radial multi-sector nonparametric production-frontier analysis," Energy Economics, Elsevier, vol. 74(C), pages 51-62.
    2. Shen, Zhiyang & Boussemart, Jean-Philippe & Leleu, Hervé, 2017. "Aggregate green productivity growth in OECD’s countries," International Journal of Production Economics, Elsevier, vol. 189(C), pages 30-39.
    3. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    4. de Solminihac, Hernán & Gonzales, Luis E. & Cerda, Rodrigo, 2018. "Copper mining productivity: Lessons from Chile," Journal of Policy Modeling, Elsevier, vol. 40(1), pages 182-193.
    5. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    6. Sahoo, Auro Kumar & Sahu, Naresh Chandra & Sahoo, Dukhabandhu, 2018. "Impact of policy reforms on the productivity growth of Indian coal mining: A decomposition analysis," Resources Policy, Elsevier, vol. 59(C), pages 460-467.
    7. Huang, Yi-Ju & Chen, Ku-Hsieh & Yang, Chih-Hai, 2010. "Cost efficiency and optimal scale of electricity distribution firms in Taiwan: An application of metafrontier analysis," Energy Economics, Elsevier, vol. 32(1), pages 15-23, January.
    8. 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.
    9. Ampofo, Gideon Kwaku Minua & Cheng, Jinhua & Asante, Daniel Akwasi & Bosah, Philip, 2020. "Total natural resource rents, trade openness and economic growth in the top mineral-rich countries: New evidence from nonlinear and asymmetric analysis," Resources Policy, Elsevier, vol. 68(C).
    10. Yang, Wei & Shi, Jinfeng & Qiao, Han & Shao, Yanmin & Wang, Shouyang, 2017. "Regional technical efficiency of Chinese Iron and steel industry based on bootstrap network data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 14-24.
    11. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.
    12. Yu, Yanni & Wu, Wenjie & Zhang, Tao & Liu, Yanchu, 2016. "Environmental catching-up, eco-innovation, and technological leadership in China's pilot ecological civilization zones," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 228-236.
    13. Shao, Liuguo & He, Yingying & Feng, Chao & Zhang, Shijing, 2016. "An empirical analysis of total-factor productivity in 30 sub-sub-sectors of China's nonferrous metal industry," Resources Policy, Elsevier, vol. 50(C), pages 264-269.
    14. Li, Ke & Lin, Boqiang, 2015. "Measuring green productivity growth of Chinese industrial sectors during 1998–2011," China Economic Review, Elsevier, vol. 36(C), pages 279-295.
    15. Chen, Zhuo & Song, Shunfeng, 2008. "Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis," China Economic Review, Elsevier, vol. 19(2), pages 287-296, June.
    16. 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.
    17. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    18. Timo Kuosmanen, 2005. "Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1077-1082.
    19. Zhang, Ning & Wang, Bing, 2015. "A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case," Energy Economics, Elsevier, vol. 51(C), pages 88-98.
    20. Dong-hyun Oh & Jeong-dong Lee, 2010. "A metafrontier approach for measuring Malmquist productivity index," Empirical Economics, Springer, vol. 38(1), pages 47-64, February.
    21. Oh, Dong-hyun, 2010. "A metafrontier approach for measuring an environmentally sensitive productivity growth index," Energy Economics, Elsevier, vol. 32(1), pages 146-157, January.
    22. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    23. Shang, Yizi & Hei, Pengfei & Lu, Shibao & Shang, Ling & Li, Xiaofei & Wei, Yongping & Jia, Dongdong & Jiang, Dong & Ye, Yuntao & Gong, Jiaguo & Lei, Xiaohui & Hao, Mengmeng & Qiu, Yaqin & Liu, Jiahong, 2018. "China’s energy-water nexus: Assessing water conservation synergies of the total coal consumption cap strategy until 2050," Applied Energy, Elsevier, vol. 210(C), pages 643-660.
    24. Chaofan Chen & Qingxin Lan & Ming Gao & Yawen Sun, 2018. "Green Total Factor Productivity Growth and Its Determinants in China’s Industrial Economy," Sustainability, MDPI, vol. 10(4), pages 1-25, April.
    25. Kulshreshtha, Mudit & Parikh, Jyoti K., 2002. "Study of efficiency and productivity growth in opencast and underground coal mining in India: a DEA analysis," Energy Economics, Elsevier, vol. 24(5), pages 439-453, September.
    26. 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.
    27. Chen, Nengcheng & Xu, Lei & Chen, Zeqiang, 2017. "Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models," Energy, Elsevier, vol. 134(C), pages 659-671.
    28. Zhu, Yongguang & Xu, Deyi & Cheng, Jinhua & Ali, Saleem Hassan, 2018. "Estimating the impact of China's export policy on tin prices: a mode decomposition counterfactual analysis method," Resources Policy, Elsevier, vol. 59(C), pages 250-264.
    29. Chen, Ku-Hsieh & Huang, Yi-Ju & Yang, Chih-Hai, 2009. "Analysis of regional productivity growth in China: A generalized metafrontier MPI approach," China Economic Review, Elsevier, vol. 20(4), pages 777-792, December.
    30. Scheel, Holger, 2001. "Undesirable outputs in efficiency valuations," European Journal of Operational Research, Elsevier, vol. 132(2), pages 400-410, July.
    31. Yu-Ying Lin, Eugene & Chen, Ping-Yu & Chen, Chi-Chung, 2013. "Measuring green productivity of country: A generlized metafrontier Malmquist productivity index approach," Energy, Elsevier, vol. 55(C), pages 340-353.
    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. Gao(高凯), Kai & Wang(王玲), Ling & Liu(刘婷婷), Tingting & Zhao(赵华擎), Huaqing, 2022. "Management executive power and corporate green innovation——Empirical evidence from China's state-owned manufacturing sector," Technology in Society, Elsevier, vol. 70(C).
    2. Liu, Quanlong & Qiu, Zunxiang & Li, Ma & Shang, Jianping & Niu, Weichao, 2023. "Evaluation and empirical research on green mine construction in coal industry based on the AHP-SPA model," Resources Policy, Elsevier, vol. 82(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. Fan, Qiufang & Liu, Jintao & Zhang, Tao & Liu, Haomin, 2022. "An Evaluation of the Efficiency of China’s green investment in the “Belt and Road” countries," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 496-511.
    5. Yujian Jin & Lihong Yu & Yan Wang, 2022. "Green Total Factor Productivity and Its Saving Effect on the Green Factor in China’s Strategic Minerals Industry from 1998–2017," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    6. Zhang, Fuyu & Wang, Qiang & Li, Rongrong, 2024. "Linking natural resource abundance and green growth: The role of energy transition," Resources Policy, Elsevier, vol. 91(C).
    7. Ge, Tao & Li, Chunying & Li, Jinye & Hao, Xionglei, 2023. "Does neighboring green development benefit or suffer from local economic growth targets? Evidence from China," Economic Modelling, Elsevier, vol. 120(C).
    8. Zhang, Yijun & Wang, Haowen & Ruan, Shengzhe & Cheng, Jinhua & Song, Yi, 2024. "Effects of environmental information disclosure on the green development of mining industry: Evidence from Chinese provincial mining sub-sectors," Resources Policy, Elsevier, vol. 89(C).
    9. Yonglin Li & Zhili Zuo & Deyi Xu & Yi Wei, 2021. "Mining Eco-Efficiency Measurement and Driving Factors Identification Based on Meta-US-SBM in Guangxi Province, China," IJERPH, MDPI, vol. 18(10), pages 1-22, May.
    10. Yusen Luo & Zhengnan Lu & Chao Wu & Claudia Nyarko Mensah, 2023. "Environmental Regulation Effect on Green Total Factor Productivity: Mediating Role of Foreign Direct Investment Quantity and Quality," IJERPH, MDPI, vol. 20(4), pages 1-18, February.
    11. Wei Wei & Qiao Fan & Aijun Guo, 2022. "China’s Industrial TFPs at the Prefectural Level and the Law of Their Spatial–Temporal Evolution," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    12. Da Gao & Xinlin Mo & Ruochan Xiong & Zhiliang Huang, 2022. "Tax Policy and Total Factor Carbon Emission Efficiency: Evidence from China’s VAT Reform," IJERPH, MDPI, vol. 19(15), pages 1-17, July.
    13. Xianpu Xu & Xiawan Li & Lin Zheng, 2022. "A Blessing or a Curse? Exploring the Impact of Environmental Regulation on China’s Regional Green Development from the Perspective of Governance Transformation," IJERPH, MDPI, vol. 19(3), pages 1-24, January.
    14. Lu, Huaixin & Liao, Xinlin & Wu, Youqun, 2024. "From resource curse to green renaissance: Analyzing the dynamics of natural resource abundance on China's green total factor productivity during business cycles," Resources Policy, Elsevier, vol. 89(C).
    15. Liu, Yang & Wu, Ailing & Wang, Jianda & Taghizadeh-Hesary, Farhad & Dong, Xiucheng, 2024. "Green growth in the global south: How does metallic minerals affect GTFP enhancement?," Resources Policy, Elsevier, vol. 88(C).
    16. Yan Xiao & Yan Zhang & Jiekuan Zhang, 2023. "The Impact of Carbon Emission Trading on Industrial Green Total Factor Productivity," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
    17. Shengzhe Ruan & Yi Song & Jinhua Cheng & Cheng Zhan, 2023. "Green Eco-Innovation and Supply of Critical Metals: Evidence from China," Sustainability, MDPI, vol. 15(17), pages 1-24, August.

    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. Wei, Yigang & Li, Yan & Wu, Meiyu & Li, Yingbo, 2019. "The decomposition of total-factor CO2 emission efficiency of 97 contracting countries in Paris Agreement," Energy Economics, Elsevier, vol. 78(C), pages 365-378.
    2. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    3. Chiu, Yung-Ho & Lee, Jen-Hui & Lu, Ching-Cheng & Shyu, Ming-Kuang & Luo, Zhengying, 2012. "The technology gap and efficiency measure in WEC countries: Application of the hybrid meta frontier model," Energy Policy, Elsevier, vol. 51(C), pages 349-357.
    4. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    5. Zhang, Ning & Wang, Bing, 2015. "A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case," Energy Economics, Elsevier, vol. 51(C), pages 88-98.
    6. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    7. Yung-Hsiang LU & Ku-Hsieh CHEN & Chun-Cheng WU, 2015. "Cross-country analysis of efficiency and productivity in the biotech industry: an application of the generalized metafrontier Malmquist productivity index," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(3), pages 116-134.
    8. Jayanath Ananda & Dong-hyun Oh, 2023. "Assessing environmentally sensitive productivity growth: incorporating externalities and heterogeneity into water sector evaluations," Journal of Productivity Analysis, Springer, vol. 59(1), pages 45-60, February.
    9. Zha, Donglan & Yang, Guanglei & Wang, Qunwei, 2019. "Investigating the driving factors of regional CO2 emissions in China using the IDA-PDA-MMI method," Energy Economics, Elsevier, vol. 84(C).
    10. Sheng, Jichuan & Qiu, Wenge, 2022. "Water-use technical efficiency and income: Evidence from China's South-North Water Transfer Project," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    11. Cenjie Liu & Zhongbao Zhou & Qing Liu & Rui Xie & Ximei Zeng, 2020. "Can a low-carbon development path achieve win-win development: evidence from China’s low-carbon pilot policy," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1199-1219, October.
    12. Xi Qin & Xiaoling Wang & Yusen Xu & Yawen Wei, 2019. "Exploring Driving Forces of Green Growth: Empirical Analysis on China’s Iron and Steel Industry," Sustainability, MDPI, vol. 11(4), pages 1-11, February.
    13. Yang, Jun & Cheng, Jixin & Zou, Ran & Geng, Zhifei, 2021. "Industrial SO2 technical efficiency, reduction potential and technology heterogeneities of China's prefecture-level cities: A multi-hierarchy meta-frontier parametric approach," Energy Economics, Elsevier, vol. 104(C).
    14. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    15. Arjomandi, Amir & Dakpo, K. Hervé & Seufert, Juergen Heinz, 2018. "Have Asian airlines caught up with European Airlines? A by-production efficiency analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 389-403.
    16. Du, Limin & Hanley, Aoife & Zhang, Ning, 2016. "Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis," Resource and Energy Economics, Elsevier, vol. 43(C), pages 14-32.
    17. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    18. Jia-Ching Juo & Yu-Hui Lin & Tsai-Chia Chen, 2015. "Productivity change of Taiwanese farmers’ credit unions: a nonparametric metafrontier Malmquist–Luenberger productivity indicator," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 125-147, March.
    19. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    20. Li, Mingquan & Wang, Qi, 2014. "International environmental efficiency differences and their determinants," Energy, Elsevier, vol. 78(C), pages 411-420.

    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:70:y:2021:i:c:s0301420720309636. 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.