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Asymmetric adjustment of the dynamic relationship between energy intensity and urbanization in China

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  • Liu, Yaobin
  • Xie, Yichun

Abstract

This paper provides a comprehensive nonlinear analysis of asymmetric adjustment of the dynamic relationship between energy intensity and urbanization using the time series data of 1978–2010 in China at both the national and the macro regional levels. Two sets of unit root tests are applied first to check whether the variables of energy intensity and urbanization are heterogeneous with and without structural breaks, respectively. Cointegration tests are then applied to determine whether long-term relationships are present when structural breaks are or aren't accounted for. The asymmetric adjustment analyses are finally applied to examine how the variables in time-series respond to the deviations from the equilibrium through an integration of threshold vector error correction model (TVECM), and to examine how they respond to the co-existence of TVECM and the threshold. The findings of the systematic tests and analyses confirm the existence of non-linear causal relationships between the energy intensity and urbanization in China. Energy intensity has an asymmetric adjusting effect to urbanization in the whole country and the Central belt. An asymmetric adjustment running from the energy intensity to urbanization is also identified when structural breaks are accounted for, which occurred in 1988, 1993, 2000 and 2006. Furthermore, the two-regime threshold vector error correction model shows that the adjustment process of the energy intensity toward equilibrium is highly persistent when a threshold is reached. There exists a mean-reverting behavior, indicating that the energy intensity grows faster than the urbanization in China when the threshold is reached.

Suggested Citation

  • Liu, Yaobin & Xie, Yichun, 2013. "Asymmetric adjustment of the dynamic relationship between energy intensity and urbanization in China," Energy Economics, Elsevier, vol. 36(C), pages 43-54.
  • Handle: RePEc:eee:eneeco:v:36:y:2013:i:c:p:43-54
    DOI: 10.1016/j.eneco.2012.12.003
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    as
    1. Balke, Nathan S & Fomby, Thomas B, 1997. "Threshold Cointegration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 627-645, August.
    2. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    3. Chen, Le & Heerink, Nico & van den Berg, Marrit, 2006. "Energy consumption in rural China: A household model for three villages in Jiangxi Province," Ecological Economics, Elsevier, vol. 58(2), pages 407-420, June.
    4. Junsoo Lee & Mark C. Strazicich, 2013. "Minimum LM unit root test with one structural break," Economics Bulletin, AccessEcon, vol. 33(4), pages 2483-2492.
    5. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    6. Crompton, Paul & Wu, Yanrui, 2005. "Energy consumption in China: past trends and future directions," Energy Economics, Elsevier, vol. 27(1), pages 195-208, January.
    7. Jones, Donald W., 1991. "How urbanization affects energy-use in developing countries," Energy Policy, Elsevier, vol. 19(7), pages 621-630, September.
    8. Donald W. Jones, 1989. "Urbanization and Energy Use In Economic Development," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 29-44.
    9. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    10. Yeh, Fang-Yu & Hu, Jin-Li & Lin, Cheng-Hsun, 2012. "Asymmetric impacts of international energy shocks on macroeconomic activities," Energy Policy, Elsevier, vol. 44(C), pages 10-22.
    11. Lee, Chien-Chiang & Chang, Chun-Ping, 2007. "The impact of energy consumption on economic growth: Evidence from linear and nonlinear models in Taiwan," Energy, Elsevier, vol. 32(12), pages 2282-2294.
    12. Lo, Ming Chien & Zivot, Eric, 2001. "Threshold Cointegration And Nonlinear Adjustment To The Law Of One Price," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 533-576, September.
    13. Halicioglu, Ferda, 2007. "Residential electricity demand dynamics in Turkey," Energy Economics, Elsevier, vol. 29(2), pages 199-210, March.
    14. Mishra, Vinod & Smyth, Russell & Sharma, Susan, 2009. "The energy-GDP nexus: Evidence from a panel of Pacific Island countries," Resource and Energy Economics, Elsevier, vol. 31(3), pages 210-220, August.
    15. Reid Ewing & Fang Rong, 2008. "The impact of urban form on U.S. residential energy use," Housing Policy Debate, Taylor & Francis Journals, vol. 19(1), pages 1-30, January.
    16. Paul Crompton & Yanrui Wu, 2003. "Bayesian Vector Autoregression Forecasts of Chinese Steel Consumption," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 1(2), pages 205-219.
    17. Abdolnaser Hemmati, 2006. "A Change in Energy Intensity: Test of Relationship between Energy Intensity and Income in Iran," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 11(1), pages 123-130, winter.
    18. Pachauri, Shonali & Jiang, Leiwen, 2008. "The household energy transition in India and China," Energy Policy, Elsevier, vol. 36(11), pages 4022-4035, November.
    19. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    20. Lenzen, Manfred & Wier, Mette & Cohen, Claude & Hayami, Hitoshi & Pachauri, Shonali & Schaeffer, Roberto, 2006. "A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan," Energy, Elsevier, vol. 31(2), pages 181-207.
    21. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-311, July.
    22. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    23. Lariviere, Isabelle & Lafrance, Gaetan, 1999. "Modelling the electricity consumption of cities: effect of urban density," Energy Economics, Elsevier, vol. 21(1), pages 53-66, February.
    24. Enders, Walter & Siklos, Pierre L, 2001. "Cointegration and Threshold Adjustment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 166-176, April.
    25. 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.
    26. Lee, Chien-Chiang & Chang, Chun-Ping, 2005. "Structural breaks, energy consumption, and economic growth revisited: Evidence from Taiwan," Energy Economics, Elsevier, vol. 27(6), pages 857-872, November.
    27. Hu, Jin-Li & Lin, Cheng-Hsun, 2008. "Disaggregated energy consumption and GDP in Taiwan: A threshold co-integration analysis," Energy Economics, Elsevier, vol. 30(5), pages 2342-2358, September.
    28. Esso, Loesse Jacques, 2010. "Threshold cointegration and causality relationship between energy use and growth in seven African countries," Energy Economics, Elsevier, vol. 32(6), pages 1383-1391, November.
    29. Yuan, Jiahai & Zhao, Changhong & Yu, Shunkun & Hu, Zhaoguang, 2007. "Electricity consumption and economic growth in China: Cointegration and co-feature analysis," Energy Economics, Elsevier, vol. 29(6), pages 1179-1191, November.
    30. 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.
    31. Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
    32. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    33. Wang, Yuan & Wang, Yichen & Zhou, Jing & Zhu, Xiaodong & Lu, Genfa, 2011. "Energy consumption and economic growth in China: A multivariate causality test," Energy Policy, Elsevier, vol. 39(7), pages 4399-4406, July.
    34. Huang, Bwo-Nung & Hwang, M.J. & Peng, Hsiao-Ping, 2005. "The asymmetry of the impact of oil price shocks on economic activities: An application of the multivariate threshold model," Energy Economics, Elsevier, vol. 27(3), pages 455-476, May.
    35. Maddison, David, 2006. "Environmental Kuznets curves: A spatial econometric approach," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 218-230, March.
    36. Adams, F. Gerard & Shachmurove, Yochanan, 2008. "Modeling and forecasting energy consumption in China: Implications for Chinese energy demand and imports in 2020," Energy Economics, Elsevier, vol. 30(3), pages 1263-1278, May.
    37. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
    38. Masih, Abul M. M. & Masih, Rumi, 1996. "Energy consumption, real income and temporal causality: results from a multi-country study based on cointegration and error-correction modelling techniques," Energy Economics, Elsevier, vol. 18(3), pages 165-183, July.
    39. Rossana Galli, 1998. "The Relationship Between Energy Intensity and Income Levels: Forecasting Long Term Energy Demand in Asian Emerging Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 85-105.
    40. Wang, S.S. & Zhou, D.Q. & Zhou, P. & Wang, Q.W., 2011. "CO2 emissions, energy consumption and economic growth in China: A panel data analysis," Energy Policy, Elsevier, vol. 39(9), pages 4870-4875, September.
    41. Altinay, Galip & Karagol, Erdal, 2004. "Structural break, unit root, and the causality between energy consumption and GDP in Turkey," Energy Economics, Elsevier, vol. 26(6), pages 985-994, November.
    42. Schmidt, Peter & Phillips, C B Peter, 1992. "LM Tests for a Unit Root in the Presence of Deterministic Trends," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 257-287, August.
    43. Poumanyvong, Phetkeo & Kaneko, Shinji, 2010. "Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis," Ecological Economics, Elsevier, vol. 70(2), pages 434-444, December.
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    More about this item

    Keywords

    Energy intensity; Urbanization; Threshold cointegration; Structural breaks; Asymmetric adjustment;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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