2022
DOI: 10.3390/ijerph191710851
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Spatiotemporal Interaction and Socioeconomic Determinants of Rural Energy Poverty in China

Abstract: This study investigated the energy poverty spatiotemporal interaction characteristics and socioeconomic determinants in rural China from 2000 to 2015 using exploratory time–space data analysis and a geographical detector model. We obtained the following results. (1) The overall trend of energy poverty in China’s rural areas was “rising first and then declining”, and the evolution trend of energy poverty in the three regions formed a “central–west–east” stepwise decreasing pattern. (2) There was a dynamic local… Show more

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Cited by 9 publications
(2 citation statements)
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“…Energy poverty in China has been studied by many researchers, for example, Xia et al in rural areas. This study investigated the interaction of energy poverty and economic indicators, finding a fluctuating trend in energy poverty [13]. In the long term, residents' income had the greatest impact on energy poverty in rural areas.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Energy poverty in China has been studied by many researchers, for example, Xia et al in rural areas. This study investigated the interaction of energy poverty and economic indicators, finding a fluctuating trend in energy poverty [13]. In the long term, residents' income had the greatest impact on energy poverty in rural areas.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This contribution provides a reference for other countries to address energy poverty. Xia et al (2022) in rural areas of China investigated the spatial -temporary interaction of energy poverty and economic indicators over a fifteen-year period, pointing to the fluctuating trend of energy poverty in rural areas of China, dynamic local spatial dependence and the process of unstable spatial development [13]. In the long-term, the disposable income of rural residents had the greatest impact on rural energy poverty.…”
Section: Introductionmentioning
confidence: 99%