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Energy efficiency in the Chinese provinces: a fixed effects stochastic frontier spatial Durbin error panel analysis

Author

Listed:
  • Lei Jiang

    (Zhejiang University of Finance and Economics
    University of Groningen)

  • Henk Folmer

    (University of Groningen
    Northwest A&F University)

  • Minhe Ji

    (East China Normal University)

  • Jianjun Tang

    (Queen’s University Belfast)

Abstract

Energy efficiency improvement has been a key objective of China’s long-term energy policy. In this paper, we derive single-factor technical energy efficiency (abbreviated as energy efficiency) in China from multi-factor efficiency estimated by means of a translog production function and a stochastic frontier model on the basis of panel data on 29 Chinese provinces over the period 2003–2011. We find that average energy efficiency has been increasing over the research period and that the provinces with the highest energy efficiency are at the east coast and the ones with the lowest in the west, with an intermediate corridor in between. In the analysis of the determinants of energy efficiency by means of a spatial Durbin error model both factors in the own province and in first-order neighboring provinces are considered. Per capita income in the own province has a positive effect. Furthermore, foreign direct investment and population density in the own province and in neighboring provinces have positive effects, whereas the share of state-owned enterprises in Gross Provincial Product in the own province and in neighboring provinces has negative effects. From the analysis it follows that inflow of foreign direct investment and reform of state-owned enterprises are important policy handles.

Suggested Citation

  • Lei Jiang & Henk Folmer & Minhe Ji & Jianjun Tang, 2017. "Energy efficiency in the Chinese provinces: a fixed effects stochastic frontier spatial Durbin error panel analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(2), pages 301-319, March.
    • Handle: RePEc:spr:anresc:v:58:y:2017:i:2:d:10.1007_s00168-016-0782-5
    DOI: 10.1007/s00168-016-0782-5
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    1. Shahbaz, Muhammad & Khan, Saleheen & Tahir, Mohammad Iqbal, 2013. "The dynamic links between energy consumption, economic growth, financial development and trade in China: Fresh evidence from multivariate framework analysis," Energy Economics, Elsevier, vol. 40(C), pages 8-21.
    2. Filippini, Massimo & Hunt, Lester C., 2012. "US residential energy demand and energy efficiency: A stochastic demand frontier approach," Energy Economics, Elsevier, vol. 34(5), pages 1484-1491.
    3. Massimo Filippini & Lester C. Hunt, 2011. "Energy Demand and Energy Efficiency in the OECD Countries: A Stochastic Demand Frontier Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 59-80.
    4. Zhou, Xianbo & Li, Kui-Wai & Li, Qin, 2011. "An analysis on technical efficiency in post-reform China," China Economic Review, Elsevier, vol. 22(3), pages 357-372, September.
    5. Albert G. Z. Hu & Gary H. Jefferson, 2002. "FDI Impact and Spillover: Evidence from China's Electronic and Textile Industries," The World Economy, Wiley Blackwell, vol. 25(8), pages 1063-1076, August.
    6. Chai, Jian & Guo, Ju-E & Wang, Shou-Yang & Lai, Kin Keung, 2009. "Why does energy intensity fluctuate in China?," Energy Policy, Elsevier, vol. 37(12), pages 5717-5731, December.
    7. Tsekouras, Kostas D. & Pantzios, Christos J. & Karagiannis, Giannis, 2004. "Malmquist productivity index estimation with zero-value variables: The case of Greek prefectural training councils," International Journal of Production Economics, Elsevier, vol. 89(1), pages 95-106, May.
    8. Elliott, Robert J.R. & Sun, Puyang & Chen, Siyang, 2013. "Energy intensity and foreign direct investment: A Chinese city-level study," Energy Economics, Elsevier, vol. 40(C), pages 484-494.
    9. Crompton, Paul & Wu, Yanrui, 2005. "Energy consumption in China: past trends and future directions," Energy Economics, Elsevier, vol. 27(1), pages 195-208, January.
    10. Zhang, Xiliang & Ruoshui, Wang & Molin, Huo & Martinot, Eric, 2010. "A study of the role played by renewable energies in China's sustainable energy supply," Energy, Elsevier, vol. 35(11), pages 4392-4399.
    11. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    12. Jones, Donald W., 1991. "How urbanization affects energy-use in developing countries," Energy Policy, Elsevier, vol. 19(7), pages 621-630, September.
    13. Gale Boyd, 2007. "Estimating the Distribution of Plant-Level Manufacturing Energy Efficiency with Stochastic Frontier Regression," Working Papers 07-07, Center for Economic Studies, U.S. Census Bureau.
    14. Zhang, Le-Yin, 2004. "The Roles of Corporatization and Stock Market Listing in Reforming China's State Industry," World Development, Elsevier, vol. 32(12), pages 2031-2047, December.
    15. Cattaneo, Cristina & Manera, Matteo & Scarpa, Elisa, 2011. "Industrial coal demand in China: A provincial analysis," Resource and Energy Economics, Elsevier, vol. 33(1), pages 12-35, January.
    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. 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.
    18. Shahbaz, Muhammad & Hye, Qazi Muhammad Adnan & Tiwari, Aviral Kumar & Leitão, Nuno Carlos, 2013. "Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 109-121.
    19. Carsten A. Holz, 2004. "China's Statistical System in Transition: Challenges, Data Problems, and Institutional Innovations," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 50(3), pages 381-409, September.
    20. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    21. Kugler, Maurice, 2006. "Spillovers from foreign direct investment: Within or between industries?," Journal of Development Economics, Elsevier, vol. 80(2), pages 444-477, August.
    22. Ang, B.W., 2006. "Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index," Energy Policy, Elsevier, vol. 34(5), pages 574-582, March.
    23. Wu, Yanrui, 2012. "Energy intensity and its determinants in China's regional economies," Energy Policy, Elsevier, vol. 41(C), pages 703-711.
    24. Adetutu, Morakinyo O., 2014. "Energy efficiency and capital-energy substitutability: Evidence from four OPEC countries," Applied Energy, Elsevier, vol. 119(C), pages 363-370.
    25. Coe, David T & Helpman, Elhanan & Hoffmaister, Alexander W, 1997. "North-South R&D Spillovers," Economic Journal, Royal Economic Society, vol. 107(440), pages 134-149, January.
    26. Buck, J. & Young, D., 2007. "The potential for energy efficiency gains in the Canadian commercial building sector: A stochastic frontier study," Energy, Elsevier, vol. 32(9), pages 1769-1780.
    27. Miller, Stephen M. & Upadhyay, Mukti P., 2000. "The effects of openness, trade orientation, and human capital on total factor productivity," Journal of Development Economics, Elsevier, vol. 63(2), pages 399-423, December.
    28. Fisher-Vanden, Karen & Jefferson, Gary H. & Jingkui, Ma & Jianyi, Xu, 2006. "Technology development and energy productivity in China," Energy Economics, Elsevier, vol. 28(5-6), pages 690-705, November.
    29. Raymond W. Goldsmith, 1951. "A Perpetual Inventory of National Wealth," NBER Chapters, in: Studies in Income and Wealth, Volume 14, pages 5-73, National Bureau of Economic Research, Inc.
    30. Mulder, Peter & de Groot, Henri L.F., 2012. "Structural change and convergence of energy intensity across OECD countries, 1970–2005," Energy Economics, Elsevier, vol. 34(6), pages 1910-1921.
    31. Blalock, Garrick & Gertler, Paul J., 2008. "Welfare gains from Foreign Direct Investment through technology transfer to local suppliers," Journal of International Economics, Elsevier, vol. 74(2), pages 402-421, March.
    32. Hãœbler, Michael & Keller, Andreas, 2010. "Energy savings via FDI? Empirical evidence from developing countries," Environment and Development Economics, Cambridge University Press, vol. 15(1), pages 59-80, February.
    33. Hang, Leiming & Tu, Meizeng, 2007. "The impacts of energy prices on energy intensity: Evidence from China," Energy Policy, Elsevier, vol. 35(5), pages 2978-2988, May.
    34. 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.
    35. 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.
    36. Yingqi Wei & Xiaming Liu & Haiyan Song & Peter Romilly, 2001. "Endogenous innovation growth theory and regional income convergence in China," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(2), pages 153-168.
    37. Cheung Kui-yin & Lin, Ping, 2004. "Spillover effects of FDI on innovation in China: Evidence from the provincial data," China Economic Review, Elsevier, vol. 15(1), pages 25-44.
    38. Yuan, Jia-Hai & Kang, Jian-Gang & Zhao, Chang-Hong & Hu, Zhao-Guang, 2008. "Energy consumption and economic growth: Evidence from China at both aggregated and disaggregated levels," Energy Economics, Elsevier, vol. 30(6), pages 3077-3094, November.
    39. Sonja Peterson, 2008. "Greenhouse gas mitigation in developing countries through technology transfer?: a survey of empirical evidence," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 13(3), pages 283-305, March.
    40. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
    41. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    42. Jianjun Tang & Henk Folmer & Arno J. Vlist & Jianhong Xue, 2014. "The impacts of management reform on irrigation water use efficiency in the Guanzhong plain, China," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 455-475, June.
    43. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    44. Suri, Vivek & Chapman, Duane, 1998. "Economic growth, trade and energy: implications for the environmental Kuznets curve," Ecological Economics, Elsevier, vol. 25(2), pages 195-208, May.
    45. Guofu Tan & Justin Yifu Lin, 1999. "Policy Burdens, Accountability, and the Soft Budget Constraint," American Economic Review, American Economic Association, vol. 89(2), pages 426-431, May.
    46. Julien Fouquau & Ghislaine Destais & Christophe Hurlin, 2009. "Energy demand models: a threshold panel specification of the 'Kuznets curve'," Applied Economics Letters, Taylor & Francis Journals, vol. 16(12), pages 1241-1244.
    47. Tanaka, Kanako, 2008. "Assessment of energy efficiency performance measures in industry and their application for policy," Energy Policy, Elsevier, vol. 36(8), pages 2877-2892, August.
    48. Florin-Marius PAVELESCU, 2011. "Some aspects of the translog production function estimation," Romanian Journal of Economics, Institute of National Economy, vol. 32(1(41)), pages 131-150, June.
    49. Herrerias, M.J. & Cuadros, A. & Orts, V., 2013. "Energy intensity and investment ownership across Chinese provinces," Energy Economics, Elsevier, vol. 36(C), pages 286-298.
    50. Harrison, Ann, 1996. "Openness and growth: A time-series, cross-country analysis for developing countries," Journal of Development Economics, Elsevier, vol. 48(2), pages 419-447, March.
    51. G. Karagiannis & V. Tzouvelekas & A. Xepapadeas, 2003. "Measuring Irrigation Water Efficiency with a Stochastic Production Frontier," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(1), pages 57-72, September.
    52. Song, Feng & Zheng, Xinye, 2012. "What drives the change in China's energy intensity: Combining decomposition analysis and econometric analysis at the provincial level," Energy Policy, Elsevier, vol. 51(C), pages 445-453.
    53. Keller, Wolfgang, 2002. "Trade and the Transmission of Technology," Journal of Economic Growth, Springer, vol. 7(1), pages 5-24, March.
    54. Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
    55. Liu, Yaobin, 2009. "Exploring the relationship between urbanization and energy consumption in China using ARDL (autoregressive distributed lag) and FDM (factor decomposition model)," Energy, Elsevier, vol. 34(11), pages 1846-1854.
    56. Fu, Feng & Liu, Hongtao & Polenske, Karen R. & Li, Zheng, 2013. "Measuring the energy consumption of China’s domestic investment from 1992 to 2007," Applied Energy, Elsevier, vol. 102(C), pages 1267-1274.
    57. Panayotou T., 1993. "Empirical tests and policy analysis of environmental degradation at different stages of economic development," ILO Working Papers 992927783402676, International Labour Organization.
    58. Gilbert E. Metcalf, 2008. "An Empirical Analysis of Energy Intensity and Its Determinants at the State Level," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-26.
    59. Abedullah & Shahzad Kouser & Matin Qaim, 2015. "Bt Cotton, Pesticide Use and Environmental Efficiency in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(1), pages 66-86, February.
    60. Fang, Yiping & Zeng, Yong, 2007. "Balancing energy and environment: The effect and perspective of management instruments in China," Energy, Elsevier, vol. 32(12), pages 2247-2261.
    61. Chu Wei & Jinlan Ni & Manhong Shen, 2009. "Empirical Analysis of Provincial Energy Efficiency in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(5), pages 88-103, September.
    62. Ren, Shenggang & Yuan, Baolong & Ma, Xie & Chen, Xiaohong, 2014. "International trade, FDI (foreign direct investment) and embodied CO2 emissions: A case study of Chinas industrial sectors," China Economic Review, Elsevier, vol. 28(C), pages 123-134.
    63. Li, Xiaoying & Liu, Xiaming & Parker, David, 2001. "Foreign direct investment and productivity spillovers in the Chinese manufacturing sector," Economic Systems, Elsevier, vol. 25(4), pages 305-321, December.
    64. Alguacil, M. & Cuadros, A. & Orts, V., 2011. "Inward FDI and growth: The role of macroeconomic and institutional environment," Journal of Policy Modeling, Elsevier, vol. 33(3), pages 481-496, May.
    65. Henry, Michael & Kneller, Richard & Milner, Chris, 2009. "Trade, technology transfer and national efficiency in developing countries," European Economic Review, Elsevier, vol. 53(2), pages 237-254, February.
    66. Song, Malin & Wang, Shuhong & Yu, Huayin & Yang, Li & Wu, Jie, 2011. "To reduce energy consumption and to maintain rapid economic growth: Analysis of the condition in China based on expended IPAT model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 5129-5134.
    67. Komen, Marinus H.C. & Gerking, Shelby & Folmer, Henk, 1997. "Income and environmental R&D: empirical evidence from OECD countries," Environment and Development Economics, Cambridge University Press, vol. 2(4), pages 505-515, November.
    68. Rodriguez-Clare, Andres, 1996. "Multinationals, Linkages, and Economic Development," American Economic Review, American Economic Association, vol. 86(4), pages 852-873, September.
    69. Liu, Wei & Li, Hong, 2011. "Improving energy consumption structure: A comprehensive assessment of fossil energy subsidies reform in China," Energy Policy, Elsevier, vol. 39(7), pages 4134-4143, July.
    70. Shiwei Yu & Yi-Ming Wei & Ke Wang, 2011. "China's primary energy demands in 2020: Predictions from an MPSO-RBF estimation model," CEEP-BIT Working Papers 15, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    71. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    72. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    73. Zhang, Jing & Deng, Shihuai & Shen, Fei & Yang, Xinyao & Liu, Guodong & Guo, Hang & Li, Yuanwei & Hong, Xiao & Zhang, Yanzong & Peng, Hong & Zhang, Xiaohong & Li, Li & Wang, Yingjun, 2011. "Modeling the relationship between energy consumption and economy development in China," Energy, Elsevier, vol. 36(7), pages 4227-4234.
    74. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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