IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i11p1166-d82668.html
   My bibliography  Save this article

Productivity Growth-Accounting for Undesirable Outputs and Its Influencing Factors: The Case of China

Author

Listed:
  • Junfeng Zhang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Hong Fang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Bo Peng

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Xu Wang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Siran Fang

    (Experimental School, Beihang University, Beijing 100191, China)

Abstract

Presently, China’s social development is facing the dilemma of supporting economic growth and reducing emissions. Therefore, it is crucial to analyse productivity growth and examine its relationship with influencing factors in China. This study evaluated the total factor productivity (TFP) growth of 30 provinces in China by adopting the Malmquist-Luenberger (ML) productivity index and incorporating undesirable outputs from 2011–2014. Then, a Tobit regression model was employed to explore the factors that influence China’s TFP growth. The results show that the average annual growth of the Malmquist-Luenberger productivity index was lower than that of the traditional Malmquist (M) productivity index growth during the research period. The findings reveal several key conclusions: First, the true TFP growth in China will be overestimated if undesirable outputs are ignored. Second, technical changes are the main contributor to TFP growth. Third, there are huge regional disparities of productivity growth in China. Fourth, coal intensity, environmental regulations, and industrial structure have significantly negative effects on productivity growth, while real per capita gross domestic product (GDP) and foreign direct investment (FDI) have strongly positive effects on productivity growth.

Suggested Citation

  • Junfeng Zhang & Hong Fang & Bo Peng & Xu Wang & Siran Fang, 2016. "Productivity Growth-Accounting for Undesirable Outputs and Its Influencing Factors: The Case of China," Sustainability, MDPI, vol. 8(11), pages 1-13, November.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:11:p:1166-:d:82668
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/11/1166/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/8/11/1166/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhou, Yan & Xing, Xinpeng & Fang, Kuangnan & Liang, Dapeng & Xu, Chunlin, 2013. "Environmental efficiency analysis of power industry in China based on an entropy SBM model," Energy Policy, Elsevier, vol. 57(C), pages 68-75.
    2. Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
    3. He, Jie, 2006. "Pollution haven hypothesis and environmental impacts of foreign direct investment: The case of industrial emission of sulfur dioxide (SO2) in Chinese provinces," Ecological Economics, Elsevier, vol. 60(1), pages 228-245, November.
    4. Robert Hoffmann & Chew-Ging Lee & Bala Ramasamy & Matthew Yeung, 2005. "FDI and pollution: a granger causality test using panel data," Journal of International Development, John Wiley & Sons, Ltd., vol. 17(3), pages 311-317.
    5. Zhang, Chunhong & Liu, Haiying & Bressers, Hans Th.A. & Buchanan, Karen S., 2011. "Productivity growth and environmental regulations - accounting for undesirable outputs: Analysis of China's thirty provincial regions using the Malmquist–Luenberger index," Ecological Economics, Elsevier, vol. 70(12), pages 2369-2379.
    6. Hao, Yu & Zhang, Zong-Yong & Liao, Hua & Wei, Yi-Ming, 2015. "China’s farewell to coal: A forecast of coal consumption through 2020," Energy Policy, Elsevier, vol. 86(C), pages 444-455.
    7. Yang, Chih-Hai & Tseng, Yu-Hsuan & Chen, Chiang-Ping, 2012. "Environmental regulations, induced R&D, and productivity: Evidence from Taiwan's manufacturing industries," Resource and Energy Economics, Elsevier, vol. 34(4), pages 514-532.
    8. Rolf Färe & Shawna Grosskopf & Carl A Pasurka, Jr., 2001. "Accounting for Air Pollution Emissions in Measures of State Manufacturing Productivity Growth," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 381-409, August.
    9. Eskeland, Gunnar S. & Harrison, Ann E., 2003. "Moving to greener pastures? Multinationals and the pollution haven hypothesis," Journal of Development Economics, Elsevier, vol. 70(1), pages 1-23, February.
    10. Wang, Kuan-Min, 2012. "Modelling the nonlinear relationship between CO2 emissions from oil and economic growth," Economic Modelling, Elsevier, vol. 29(5), pages 1537-1547.
    11. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
    12. Hamamoto, Mitsutsugu, 2006. "Environmental regulation and the productivity of Japanese manufacturing industries," Resource and Energy Economics, Elsevier, vol. 28(4), pages 299-312, November.
    13. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Shadman, Foroogh, 2014. "Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist–Luenberger Index measurement," Energy Policy, Elsevier, vol. 68(C), pages 132-145.
    14. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    15. Pérez-Reyes, Raúl & Tovar, Beatriz, 2009. "Measuring efficiency and productivity change (PTF) in the Peruvian electricity distribution companies after reforms," Energy Policy, Elsevier, vol. 37(6), pages 2249-2261, June.
    16. Bo Li & Xuejing Liu & Zhenhong Li, 2015. "Using the STIRPAT model to explore the factors driving regional CO 2 emissions: a case of Tianjin, China," 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. 76(3), pages 1667-1685, April.
    17. He, Feng & Zhang, Qingzhi & Lei, Jiasu & Fu, Weihui & Xu, Xiaoning, 2013. "Energy efficiency and productivity change of China’s iron and steel industry: Accounting for undesirable outputs," Energy Policy, Elsevier, vol. 54(C), pages 204-213.
    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. Kai Chen & Feng Guo & Shuang Xu, 2022. "The Impact of Digital Economy Agglomeration on Regional Green Total Factor Productivity Disparity: Evidence from 285 Cities in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    2. Manuel Mocholi-Arce & Ramon Sala-Garrido & Maria Molinos-Senante & Alexandros Maziotis, 2022. "Measuring the eco-efficiency of the provision of drinking water by two-stage network data envelopment analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12883-12899, November.
    3. Yi-feng Zhang & Min-xuan Ji & Xiu-zhi Zheng, 2023. "Digital Economy, Agricultural Technology Innovation, and Agricultural Green Total Factor Productivity," SAGE Open, , vol. 13(3), pages 21582440231, August.
    4. Luqi Wang & Xiaolong Xue & Yue Shi & Zeyu Wang & Ankang Ji, 2018. "A Dynamic Analysis to Evaluate the Environmental Performance of Cities in China," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    5. Masayuki Shimizu, 2022. "Effects of pollution abatement activities on environmental efficiency and productivity: Empirical evidence from the Chinese industrial sector," Review of Development Economics, Wiley Blackwell, vol. 26(1), pages 484-509, February.
    6. Liu, Zuankuo & Xin, Li, 2019. "Has China's Belt and Road Initiative promoted its green total factor productivity?——Evidence from primary provinces along the route," Energy Policy, Elsevier, vol. 129(C), pages 360-369.
    7. Ramón Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante & Alexandros Maziotis, 2021. "Comparing Operational, Environmental and Eco-Efficiency of Water Companies in England and Wales," Energies, MDPI, vol. 14(12), pages 1-14, June.
    8. Deshan Li & Rongwei Wu, 2018. "A Dynamic Analysis of Green Productivity Growth for Cities in Xinjiang," Sustainability, MDPI, vol. 10(2), pages 1-13, February.
    9. Wanxin He & Jianhua Fu & Youxi Luo, 2023. "A Study of Well-Being-Based Eco-efficiency Based on Super-SBM and Tobit Regression Model: The Case of China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 289-317, June.
    10. Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Maziotis, Alexandros & Molinos-Senante, María, 2023. "The carbon and production performance of water utilities: Evidence from the English and Welsh water industry," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 292-300.
    11. Ramon Sala-Garrido & Manuel Mocholi-Arce & Maria Molinos-Senante & Michail Smyrnakis & Alexandros Maziotis, 2021. "Eco-Efficiency of the English and Welsh Water Companies: A Cross Performance Assessment," IJERPH, MDPI, vol. 18(6), pages 1-17, March.
    12. Tzu-Yu Lin & Sheng-Hsiung Chiu & Hai-Lan Yang, 2018. "Measuring the Sustainable Performance of Industrial and Commercial Service Industries in Taiwan," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 6(4), pages 391-402, December.
    13. Zhenghui Li & Hao Dong & Zimei Huang & Pierre Failler, 2019. "Impact of Foreign Direct Investment on Environmental Performance," Sustainability, MDPI, vol. 11(13), pages 1-16, June.

    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. Wang, Yan & Shen, Neng, 2016. "Environmental regulation and environmental productivity: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 758-766.
    2. Lena, Daniela & Pasurka, Carl A. & Cucculelli, Marco, 2022. "Environmental regulation and green productivity growth: Evidence from Italian manufacturing industries," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    4. Juan Aparicio & Javier Barbero & Magdalena Kapelko & Jesus T. Pastor & Jose L. Zofio, 2016. "Environmental Productivity Change in World Air Emissions: A new Malmquist-Luenberger Index Approach," JRC Research Reports JRC104083, Joint Research Centre.
    5. Sinwoo Lee & Dong-Woon Noh & Dong-hyun Oh, 2018. "Characterizing the Difference between Indirect and Direct CO 2 Emissions: Evidence from Korean Manufacturing Industries, 2004–2010," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    6. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    7. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    8. Fan, Meiting & Shao, Shuai & Yang, Lili, 2015. "Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China)," Energy Policy, Elsevier, vol. 79(C), pages 189-201.
    9. Tao, Feng & Zhang, Huiqin & Hu, Jun & Xia, X.H., 2017. "Dynamics of green productivity growth for major Chinese urban agglomerations," Applied Energy, Elsevier, vol. 196(C), pages 170-179.
    10. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    11. Stergiou, Eirini & Rigas, Nikos & Kounetas, Konstantinos, 2021. "Environmental Productivity and Convergence of European Manufacturing Industries. Are they Under Pressure?," MPRA Paper 110780, University Library of Munich, Germany.
    12. Juan Du & Yongrui Duan & Jinghua Xu, 2019. "The infeasible problem of Malmquist–Luenberger index and its application on China’s environmental total factor productivity," Annals of Operations Research, Springer, vol. 278(1), pages 235-253, July.
    13. He, Feng & Zhang, Qingzhi & Lei, Jiasu & Fu, Weihui & Xu, Xiaoning, 2013. "Energy efficiency and productivity change of China’s iron and steel industry: Accounting for undesirable outputs," Energy Policy, Elsevier, vol. 54(C), pages 204-213.
    14. Deshan Li & Rongwei Wu, 2018. "A Dynamic Analysis of Green Productivity Growth for Cities in Xinjiang," Sustainability, MDPI, vol. 10(2), pages 1-13, February.
    15. Du, Minzhe & Liu, Yunxiao & Wang, Bing & Lee, Myunghun & Zhang, Ning, 2021. "The sources of regulated productivity in Chinese power plants: An estimation of the restricted cost function combined with DEA approach," Energy Economics, Elsevier, vol. 100(C).
    16. Lei, Ming & Yin, Zihan & Yu, Xiaowen & Deng, Shijie, 2017. "Carbon-weighted economic development performance and driving force analysis: Evidence from China," Energy Policy, Elsevier, vol. 111(C), pages 179-192.
    17. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    18. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    19. Manello, Alessandro, 2017. "Productivity growth, environmental regulation and win–win opportunities: The case of chemical industry in Italy and Germany," European Journal of Operational Research, Elsevier, vol. 262(2), pages 733-743.
    20. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.

    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:jsusta:v:8:y:2016:i:11:p:1166-:d:82668. 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.