IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v97y2021ics0140988321001390.html
   My bibliography  Save this article

Domestic trade and energy productivity in China: An inverted U-shaped relationship

Author

Listed:
  • Jin, Gang
  • Yu, Binbin
  • Shen, Kunrong

Abstract

Boosting domestic trade and increasing energy productivity are both main objectives of China's new normal in economic development. A relative increase in the share of domestic trade in the GDP tends to be accompanied by a relative contraction in the share of international trade. In raising energy productivity, given the important role of frontier technology embedded in international trade, there is a theoretically optimal share of domestic trade in the GDP. A particularly interesting issue is whether there is a nonlinear relationship between domestic trade and energy productivity. Based on panel data of 285 prefectural cities in China over the period 2004 to 2013, this paper first extends hyperbolic distance specifications within a parametric stochastic framework to the analysis of energy productivity and further examines the causal relationship between domestic trade and the growth of energy total factor productivity (TFP). We find that domestic trade indeed has an inverted U-shaped effect on the growth of energy TFP. This finding is robust to various checks, including using the interaction between the density of small rivers and the exchange rate as an instrument and alternative calculations of the growth of energy TFP. Furthermore, the finding echoes the strategy proposed by the Chinese government to build a new development pattern with a large domestic cycle as its mainstay and in which a dual domestic and international cycle would be mutually promoting.

Suggested Citation

  • Jin, Gang & Yu, Binbin & Shen, Kunrong, 2021. "Domestic trade and energy productivity in China: An inverted U-shaped relationship," Energy Economics, Elsevier, vol. 97(C).
  • Handle: RePEc:eee:eneeco:v:97:y:2021:i:c:s0140988321001390
    DOI: 10.1016/j.eneco.2021.105234
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988321001390
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2021.105234?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. Felipe, Jesus & Lanzafame, Matteo, 2020. "The PRC's long-run growth through the lens of the export-led growth model," Journal of Comparative Economics, Elsevier, vol. 48(1), pages 163-181.
    2. Brian R. Copeland, 2013. "Trade and the Environment," Palgrave Macmillan Books, in: Daniel Bernhofen & Rod Falvey & David Greenaway & Udo Kreickemeier (ed.), Palgrave Handbook of International Trade, chapter 15, pages 423-496, Palgrave Macmillan.
    3. Lovely, Mary & Popp, David, 2011. "Trade, technology, and the environment: Does access to technology promote environmental regulation?," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 16-35, January.
    4. Li, Zhigang & Yu, Xiaohua & Zeng, Yinchu & Holst, Rainer, 2012. "Estimating transport costs and trade barriers in China: Direct evidence from Chinese agricultural traders," China Economic Review, Elsevier, vol. 23(4), pages 1003-1010.
    5. Lin, Boqiang & Yang, Lisha, 2014. "Efficiency effect of changing investment structure on China׳s power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 403-411.
    6. Gongming Qian & Theodore A. Khoury & Mike W. Peng & Zhengming Qian, 2010. "The performance implications of intra‐ and inter‐regional geographic diversification," Strategic Management Journal, Wiley Blackwell, vol. 31(9), pages 1018-1030, September.
    7. Jo Thori Lind & Halvor Mehlum, 2010. "With or Without U? The Appropriate Test for a U‐Shaped Relationship," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 109-118, February.
    8. Ying Bai & Ruixue Jia, 2016. "Elite Recruitment and Political Stability: The Impact of the Abolition of China's Civil Service Exam," Econometrica, Econometric Society, vol. 84, pages 677-733, March.
    9. Brucal, Arlan & Javorcik, Beata & Love, Inessa, 2019. "Good for the environment, good for business: Foreign acquisitions and energy intensity," Journal of International Economics, Elsevier, vol. 121(C).
    10. Hering, Laura & Poncet, Sandra, 2014. "Environmental policy and exports: Evidence from Chinese cities," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 296-318.
    11. Audra J. Bowlus & Chris Robinson, 2012. "Human Capital Prices, Productivity, and Growth," American Economic Review, American Economic Association, vol. 102(7), pages 3483-3515, December.
    12. Bu, Maoliang & Li, Shuang & Jiang, Lei, 2019. "Foreign direct investment and energy intensity in China: Firm-level evidence," Energy Economics, Elsevier, vol. 80(C), pages 366-376.
    13. Jin, Gang & Shen, Kunrong & Li, Jian, 2020. "Interjurisdiction political competition and green total factor productivity in China: An inverted-U relationship," China Economic Review, Elsevier, vol. 61(C).
    14. Li, Jie & Qiu, Larry D. & Sun, Qunyan, 2003. "Interregional protection: Implications of fiscal decentralization and trade liberalization," China Economic Review, Elsevier, vol. 14(3), pages 227-245.
    15. 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.
    16. Wang, Hung-Jen & Ho, Chia-Wen, 2010. "Estimating fixed-effect panel stochastic frontier models by model transformation," Journal of Econometrics, Elsevier, vol. 157(2), pages 286-296, August.
    17. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    18. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    19. Richard F. J. Haans & Constant Pieters & Zi-Lin He, 2016. "Thinking about U: Theorizing and testing U- and inverted U-shaped relationships in strategy research," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1177-1195, July.
    20. Tanaka, Shinsuke, 2015. "Environmental regulations on air pollution in China and their impact on infant mortality," Journal of Health Economics, Elsevier, vol. 42(C), pages 90-103.
    21. Tim Coelli & Ludwig Lauwers & Guido Huylenbroeck, 2007. "Environmental efficiency measurement and the materials balance condition," Journal of Productivity Analysis, Springer, vol. 28(1), pages 3-12, October.
    22. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
    23. Ke, Shanzi, 2015. "Domestic Market Integration and Regional Economic Growth—China’s Recent Experience from 1995–2011," World Development, Elsevier, vol. 66(C), pages 588-597.
    24. He, Guojun & Fan, Maoyong & Zhou, Maigeng, 2016. "The effect of air pollution on mortality in China: Evidence from the 2008 Beijing Olympic Games," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 18-39.
    25. Zheng Song & Kjetil Storesletten & Fabrizio Zilibotti, 2011. "Growing Like China," American Economic Review, American Economic Association, vol. 101(1), pages 196-233, February.
    26. Zhang, Bo & Chen, Z.M. & Xia, X.H. & Xu, X.Y. & Chen, Y.B., 2013. "The impact of domestic trade on China's regional energy uses: A multi-regional input–output modeling," Energy Policy, Elsevier, vol. 63(C), pages 1169-1181.
    27. Weitzel, Matthias & Ma, Tao, 2014. "Emissions embodied in Chinese exports taking into account the special export structure of China," Energy Economics, Elsevier, vol. 45(C), pages 45-52.
    28. Cuesta, Rafael A. & Lovell, C.A. Knox & Zofío, José L., 2009. "Environmental efficiency measurement with translog distance functions: A parametric approach," Ecological Economics, Elsevier, vol. 68(8-9), pages 2232-2242, June.
    29. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    30. Xing, Weibo & Whalley, John, 2014. "The Golden Tax Project, value-added tax statistics, and the analysis of internal trade in China," China Economic Review, Elsevier, vol. 30(C), pages 448-458.
    31. Lin, Boqiang & Du, Kerui, 2013. "Technology gap and China's regional energy efficiency: A parametric metafrontier approach," Energy Economics, Elsevier, vol. 40(C), pages 529-536.
    32. Alam, Md. Samsul & Atif, Muhammad & Chien-Chi, Chu & Soytaş, Uğur, 2019. "Does corporate R&D investment affect firm environmental performance? Evidence from G-6 countries," Energy Economics, Elsevier, vol. 78(C), pages 401-411.
    33. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 83-116.
    34. Michael E. Waugh, 2019. "The Consumption Response to Trade Shocks: Evidence from the US-China Trade War," NBER Working Papers 26353, National Bureau of Economic Research, Inc.
    35. Julian di Giovanni & Andrei A. Levchenko, 2012. "Country Size, International Trade, and Aggregate Fluctuations in Granular Economies," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1083-1132.
    36. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    37. Ram C. Acharya & Wolfgang Keller, 2008. "Estimating the Productivity Selection and Technology Spillover Effects of Imports," NBER Working Papers 14079, National Bureau of Economic Research, Inc.
    38. Alwyn Young, 2000. "The Razor's Edge: Distortions and Incremental Reform in the People's Republic of China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1091-1135.
    39. Feng, Tong & Du, Huibin & Zhang, Zengkai & Mi, Zhifu & Guan, Dabo & Zuo, Jian, 2020. "Carbon transfer within China: Insights from production fragmentation," Energy Economics, Elsevier, vol. 86(C).
    40. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    41. Poncet, Sandra, 2003. "Measuring Chinese domestic and international integration," China Economic Review, Elsevier, vol. 14(1), pages 1-21.
    42. Xu, Jin-Hua & Yi, Bo-Wen & Fan, Ying, 2020. "Economic viability and regulation effects of infrastructure investments for inter-regional electricity transmission and trade in China," Energy Economics, Elsevier, vol. 91(C).
    43. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    44. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    45. Sandra Poncet, 2005. "A Fragmented China: Measure and Determinants of Chinese Domestic Market Disintegration," Review of International Economics, Wiley Blackwell, vol. 13(3), pages 409-430, August.
    46. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    47. Weibo Xing & John Whalley & Shantong Li, 2015. "Value, Structure and Spatial Distribution of Interprovincial Trade in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(4), pages 84-103, July.
    48. Luis Orea, 2002. "Parametric Decomposition of a Generalized Malmquist Productivity Index," Journal of Productivity Analysis, Springer, vol. 18(1), pages 5-22, July.
    49. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    50. Mike Waugh, 2019. "The Consumption Response to Trade Shocks," 2019 Meeting Papers 1226, Society for Economic Dynamics.
    51. Chen, Ting & Kung, J.K.-S., 2016. "Do land revenue windfalls create a political resource curse? Evidence from China," Journal of Development Economics, Elsevier, vol. 123(C), pages 86-106.
    52. Marc J. Melitz, 2003. "The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity," Econometrica, Econometric Society, vol. 71(6), pages 1695-1725, November.
    53. 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.
    54. Alwyn Young, 2000. "The Razor's Edge: Distortions and Incremental Reform in the People's Republic of China," NBER Working Papers 7828, National Bureau of Economic Research, Inc.
    55. Lijuan Xie & Shixun Wang & Xiaodong Wang, 2017. "The effect of domestic and foreign trade coordination on technological innovation: complements or substitutes?," Frontiers of Business Research in China, Springer, vol. 11(1), pages 1-21, December.
    56. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    57. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    58. Marcel P. Timmer & Abdul Azeez Erumban & Bart Los & Robert Stehrer & Gaaitzen J. de Vries, 2014. "Slicing Up Global Value Chains," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 99-118, Spring.
    59. Fabrizio Zilibotti, 2017. "Growing and Slowing Down Like China," Journal of the European Economic Association, European Economic Association, vol. 15(5), pages 943-988.
    60. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    61. Li, Ke & Lin, Boqiang, 2014. "The nonlinear impacts of industrial structure on China's energy intensity," Energy, Elsevier, vol. 69(C), pages 258-265.
    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. Li, Yaya & Zhang, Yun, 2023. "What is the role of green ICT innovation in lowering carbon emissions in China? A provincial-level analysis," Energy Economics, Elsevier, vol. 127(PA).
    2. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    3. Abudureheman, Maliyamu & Jiang, Qingzhe & Dong, Xiucheng & Dong, Cong, 2022. "Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China," Energy Policy, Elsevier, vol. 166(C).
    4. Ur Rehman, Faheem & Islam, Md. Monirul, 2023. "Does energy infrastructure spur total factor productivity (TFP) in middle-income economies? An application of a novel energy infrastructure index," Applied Energy, Elsevier, vol. 336(C).
    5. Tao Ma & Xiaoxi Cao, 2022. "FDI, technological progress, and green total factor energy productivity: evidence from 281 prefecture cities in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11058-11088, September.
    6. Yan Zhang & Ziyuan Sun & Mengxin Sun, 2022. "Unabsorbed Slack Resources and Enterprise Innovation: The Moderating Effect of Environmental Uncertainty and Managerial Ability," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    7. Yu, Yantuan & Chen, Xudong & Zhang, Ning, 2022. "Innovation and energy productivity: An empirical study of the innovative city pilot policy in China✰," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    8. Rong Liu & Feng He & Jianyu Ren, 2021. "Promoting or Inhibiting? The Impact of Enterprise Environmental Performance on Economic Performance: Evidence from China’s Large Iron and Steel Enterprises," Sustainability, MDPI, vol. 13(11), pages 1-16, June.
    9. Guoge Yang & Feng Deng & Yifei Wang & Xianhong Xiang, 2022. "Digital Paradox: Platform Economy and High-Quality Economic Development—New Evidence from Provincial Panel Data in China," Sustainability, MDPI, vol. 14(4), pages 1-26, February.

    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. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    2. Jin, Gang & Shen, Kunrong & Li, Jian, 2020. "Interjurisdiction political competition and green total factor productivity in China: An inverted-U relationship," China Economic Review, Elsevier, vol. 61(C).
    3. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    4. Qin, Quande & Yu, Ying & Liu, Yuan & Zhou, Jianqing & Chen, Xiude, 2023. "Industrial agglomeration and energy efficiency: A new perspective from market integration," Energy Policy, Elsevier, vol. 183(C).
    5. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    6. Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
    7. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    8. Chen, Quanrun & Gao, Yuning & Pei, Jiansuo & de Vries, Gaaitzen & Wang, Fei, 2022. "China's domestic production networks," China Economic Review, Elsevier, vol. 72(C).
    9. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    10. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    11. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    12. Yongzheng Liu & Guangliang Ye, 2019. "Competition Policy and Trade Barriers: Empirical Evidence from China," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(2), pages 193-219, March.
    13. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    14. Qun Bao & Jiuli Huang & Yanling Wang, 2015. "Productivity and Firms’ Sales Destination: Chinese Characteristics," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 620-637, August.
    15. Zheming Yan & Rui Shi & Zhiming Yang, 2018. "ICT Development and Sustainable Energy Consumption: A Perspective of Energy Productivity," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    16. Xu, Mengmeng & Tan, Ruipeng & He, Xinju, 2022. "How does economic agglomeration affect energy efficiency in China?: Evidence from endogenous stochastic frontier approach," Energy Economics, Elsevier, vol. 108(C).
    17. Fuzheng Luo & Nengsheng Luo, 2020. "Inter-Provincial Market Fragmentation and Regional Economic Development in China," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    18. Zheng, Yilin & Lu, Ming & Li, Jiewei, 2022. "Internal circulation in China: Analyzing market segmentation and integration using big data for truck traffic flow," Economic Modelling, Elsevier, vol. 115(C).
    19. Jeffrey S. Zax & Yin He, 2016. "The Law Of One Price In Chinese Factor Markets," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(04), pages 1-31, September.
    20. Bo, Shiyu, 2020. "Centralization and regional development: Evidence from a political hierarchy reform to create cities in china," Journal of Urban Economics, Elsevier, vol. 115(C).

    More about this item

    Keywords

    Domestic trade; Energy productivity; Inverted U-shape; Hyperbolic distance function;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment

    Statistics

    Access and download statistics

    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:eneeco:v:97:y:2021:i:c:s0140988321001390. 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/eneco .

    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.