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首页> 外文会议>International Academic Conference on Frontiers in Social Sciences and Management Innovation >Measuring of Inequality Using the Household Electricity Meter Reading Data in Urban China
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Measuring of Inequality Using the Household Electricity Meter Reading Data in Urban China

机译：使用家庭电表阅读数据在中国城市中的不等式测量

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In order to overcome the limitations of using the household survey data, the household electricity meter reading data was used to measure inequality in this study. The Gini coefficient, Lorentz curve, Theil index were used in the discussions of inequality which were carried out on the basis of distribution of year-round and monthly electricity consumption of households in village, city, and urban village. The results show that the electricity consumption Gini coefficient is 0.6171, and this value is larger than that results calculated from survey data. The inequalities for rural and urban village household are severest and second severest, and the Gini coefficients are 0.5522 and 0.5339, respectively. This study would probably support that energy policies focusing on low-income households especially those in village and urban village should be encouraged.
机译：为了克服使用家庭调查数据的局限性，家庭电表阅读数据用于测量本研究的不平等。 基尼系数，Lorentz曲线，INIL指数用于不等式的讨论，该讨论是在村庄，城市和城市村庄家庭的全年和每月电力消费的分布的基础上进行的。 结果表明，电力消耗基尼系数为0.6171，该值大于来自调查数据计算的结果。 农村和城市村庄家庭的不平等是最严重的，第二次最严重，而基尼系数分别为0.5522和0.5339。 这项研究可能支持关注低收入家庭的能源政策，特别是村庄和城市村的村庄。

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