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Exploring the relationship between urbanization and energy consumption in China using ARDL (autoregressive distributed lag) and FDM (factor decomposition model)

机译:使用ARDL(自回归分布滞后)和FDM(因子分解模型)探索中国城市化与能源消耗之间的关系

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The paper develops a function of energy consumption, population growth, economic growth and urbanization process, and provides fresh empirical evidences for urbanization and energy consumption for China over the period 1978-2008 through the use of ARDL testing approach and factor decomposition model. The results of the bounds test show that there is a stable long run relationship amongst total energy consumption, population, GDP (Gross domestic product) and urbanization level when total energy consumption is the dependent variable in China. The results of the causality test with ECM (error correction model) specification, the short run and long run dynamics of the interested variables are tested, indicating that there exists only a unidirectional Granger causality running from urbanization to total energy consumption both in the long run and in the short run. At present, the contribution share which urbanization drags the energy consumption is smaller than that in the past, and the intensity holds a downward trend. Therefore, together with enhancing energy efficiency, accelerating the urbanization process that can cut reliance on resource and energy dependent industries is a fundamental strategy to solve the sustainable development dilemma between energy consumption and urbanization.
机译:本文建立了能源消耗,人口增长,经济增长和城市化进程的函数,并通过使用ARDL检验方法和因子分解模型为1978-2008年间中国的城市化和能源消耗提供了新的经验证据。边界检验的结果表明,当总能耗为因变量时,总能耗,人口,GDP(国内生产总值)和城市化水平之间存在长期稳定的关系。使用ECM(误差校正模型)规范进行因果关系检验的结果,相关变量的短期和长期动态进行了测试,表明从长远来看,从城市化到总能源消耗都存在单向Granger因果关系在短期内。当前,城市化拖累能源消耗的贡献份额比以往要小,强度下降趋势。因此,与提高能源效率一起,加快可减少对资源和能源依赖产业依赖的城市化进程,是解决能源消耗与城市化之间可持续发展难题的一项基本战略。

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