The Factors Affecting the Household Energy Consumption, Energy Elasticity, and Energy Intensity in Indonesia

Tongam Sihol Nababan
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引用次数: 2

Abstract

The purpose of the study is to explore and analyze the factors influencing the consumption, elasticity , and intensity of household energy sector in Indonesia. The estimated variables in this research based on energy and economic indicators in the period of 2000 - 2013. To get the better result, the estimation used a model of a logarithm natural in forms of doublelog and linearlog. The estimation of household energy consumption used doublelog model and the estimation of intensity of final energy per capita used linearlog model . The results based on the simple regression analysis show that variables individually : gross domestic product , the number of population, the number of households , and the final energy consumption per capita has positive and significant effect (α = 1 % ) on the energy consumption of households. The number of population and the number of household are the most dominant variables affect the energy consumption of households. It means the more the number of population and households the higher energy consumption of households. Then individually, variables of gross domestic product , the number of population, the number of households, the final energy consumption per capita has positive and significant effect ( α = 1 % ) on the intensity of final energy per capita . The intensity of final energy per capita in the period of 2000 - 2013 continues to rise, which implies that the price or the cost of energy conversion to gross domestic product to be higher and inefficient . During the period of 2000-2013 the value of elasticity of household energy consumption is less than one (e
印度尼西亚家庭能源消费、能源弹性和能源强度的影响因素
本研究的目的是探讨和分析印尼家庭能源部门的消费、弹性和强度的影响因素。本研究基于2000 - 2013年期间的能源和经济指标估算变量。为了得到更好的估计结果,采用了双对数和线性对数两种形式的自然对数模型。家庭能源消费估算采用双对数模型,人均最终能源消耗强度估算采用线性对数模型。基于简单回归分析的结果表明,国内生产总值、人口数量、家庭数量和人均最终能源消费对家庭能源消费有显著的正向影响(α = 1%)。人口数量和户数是影响家庭能源消费的最主要变量。这意味着人口和家庭数量越多,家庭的能源消耗就越高。国内生产总值、人口数量、家庭数量、人均最终能源消耗等变量对人均最终能源强度有显著的正向影响(α = 1%)。2000年至2013年期间,人均最终能源强度持续上升,这意味着能源转换的价格或成本相对于国内生产总值(gdp)更高,效率更低。2000-2013年居民能源消费弹性值小于1 (e)
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