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The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data

机译:居民用电量与收入的关系:面板数据的分段线性模型

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There are many uncertainties and risks in residential electricity consumption associated with economic development. Knowledge of the relationship between residential electricity consumption and its key determinant—income—is important to the sustainable development of the electric power industry. Using panel data from 30 provinces for the 1995–2012 period, this study investigates how residential electricity consumption changes as incomes increase in China. Previous studies typically used linear or quadratic double-logarithmic models imposing ex ante restrictions on the indistinct relationship between residential electricity consumption and income. Contrary to those models, we employed a reduced piecewise linear model that is self-adaptive and highly flexible and circumvents the problem of “prior restrictions”. Robust tests of different segment specifications and regression methods are performed to ensure the validity of the research. The results provide strong evidence that the income elasticity was approximately one, and it remained stable throughout the estimation period. The income threshold at which residential electricity consumption automatically remains stable or slows has not been reached. To ensure the sustainable development of the electric power industry, introducing higher energy efficiency standards for electrical appliances and improving income levels are vital. Government should also emphasize electricity conservation in the industrial sector rather than in residential sector.
机译:与经济发展相关的住宅用电量存在许多不确定性和风险。了解住宅用电量及其主要决定因素(收入)之间的关系对于电力行业的可持续发展至关重要。本研究使用1995年至2012年期间30个省的面板数据,研究了居民用电量随着收入的增加而变化的情况。先前的研究通常使用线性或二次对数模型,对住宅用电量和收入之间的模糊关系施加事前限制。与这些模型相反,我们采用了一种自适应的,高度灵活的规约线性分段模型,该模型规避了“先前限制”的问题。进行了不同细分规格和回归方法的稳健测试,以确保研究的有效性。结果提供了有力的证据,表明收入弹性约为1,并且在整个估算期间保持稳定。尚未达到居民用电量自动保持稳定或降低的收入阈值。为了确保电力行业的可持续发展,为电器引入更高的能效标准并提高收入水平至关重要。政府还应强调工业部门而不是住宅部门的节电。

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