Measuring of Inequality Using the Household Electricity Meter Reading Data in Urban China

DOI

10.2991/assehr.k.200207.040How to use a DOI?

Keywords

inequality, electricity meter reading data, urban village, China

Abstract

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.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Jihong Zhang
AU  - Chufan Luo
PY  - 2020
DA  - 2020/02/17
TI  - Measuring of Inequality Using the Household Electricity Meter Reading Data in Urban China
BT  - Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)
PB  - Atlantis Press
SP  - 242
EP  - 249
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200207.040
DO  - 10.2991/assehr.k.200207.040
ID  - Zhang2020
ER  -