It is of great significance for easing China's energy security and reduce environmental pollution to promoting the optimization of rural energy consumption structure and renewable energy use. Using the relative data of the survey, this study applies the Tobit regression model to analyze the impact of migrant workers’ migrant workers on rural household energy consumption, the results show that the increase of migrant workers’ income has significantly promoted rural household energy consumption of liquefied gas and electricity consumption and reduce the consumption of biomass energy. In addition, the basic characteristics of the family, the family economic characteristics, consumer preferences and regional factors are important factors that effect on rural household energy consumption.
Published in | Journal of Energy and Natural Resources (Volume 6, Issue 4) |
DOI | 10.11648/j.jenr.20170604.12 |
Page(s) | 52-57 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Migrant Workers, Rural Family, Life Energy Consumption
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APA Style
Wang Ping, Liu Zhilei, Yang Rui. (2017). An Empirical Study on Rural Household Energy Consumption Influencing Factors about Migrant Workers in the Country. Journal of Energy and Natural Resources, 6(4), 52-57. https://doi.org/10.11648/j.jenr.20170604.12
ACS Style
Wang Ping; Liu Zhilei; Yang Rui. An Empirical Study on Rural Household Energy Consumption Influencing Factors about Migrant Workers in the Country. J. Energy Nat. Resour. 2017, 6(4), 52-57. doi: 10.11648/j.jenr.20170604.12
AMA Style
Wang Ping, Liu Zhilei, Yang Rui. An Empirical Study on Rural Household Energy Consumption Influencing Factors about Migrant Workers in the Country. J Energy Nat Resour. 2017;6(4):52-57. doi: 10.11648/j.jenr.20170604.12
@article{10.11648/j.jenr.20170604.12, author = {Wang Ping and Liu Zhilei and Yang Rui}, title = {An Empirical Study on Rural Household Energy Consumption Influencing Factors about Migrant Workers in the Country}, journal = {Journal of Energy and Natural Resources}, volume = {6}, number = {4}, pages = {52-57}, doi = {10.11648/j.jenr.20170604.12}, url = {https://doi.org/10.11648/j.jenr.20170604.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jenr.20170604.12}, abstract = {It is of great significance for easing China's energy security and reduce environmental pollution to promoting the optimization of rural energy consumption structure and renewable energy use. Using the relative data of the survey, this study applies the Tobit regression model to analyze the impact of migrant workers’ migrant workers on rural household energy consumption, the results show that the increase of migrant workers’ income has significantly promoted rural household energy consumption of liquefied gas and electricity consumption and reduce the consumption of biomass energy. In addition, the basic characteristics of the family, the family economic characteristics, consumer preferences and regional factors are important factors that effect on rural household energy consumption.}, year = {2017} }
TY - JOUR T1 - An Empirical Study on Rural Household Energy Consumption Influencing Factors about Migrant Workers in the Country AU - Wang Ping AU - Liu Zhilei AU - Yang Rui Y1 - 2017/11/08 PY - 2017 N1 - https://doi.org/10.11648/j.jenr.20170604.12 DO - 10.11648/j.jenr.20170604.12 T2 - Journal of Energy and Natural Resources JF - Journal of Energy and Natural Resources JO - Journal of Energy and Natural Resources SP - 52 EP - 57 PB - Science Publishing Group SN - 2330-7404 UR - https://doi.org/10.11648/j.jenr.20170604.12 AB - It is of great significance for easing China's energy security and reduce environmental pollution to promoting the optimization of rural energy consumption structure and renewable energy use. Using the relative data of the survey, this study applies the Tobit regression model to analyze the impact of migrant workers’ migrant workers on rural household energy consumption, the results show that the increase of migrant workers’ income has significantly promoted rural household energy consumption of liquefied gas and electricity consumption and reduce the consumption of biomass energy. In addition, the basic characteristics of the family, the family economic characteristics, consumer preferences and regional factors are important factors that effect on rural household energy consumption. VL - 6 IS - 4 ER -