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Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics
As the world’s most populous country, China’s energy poverty reduction achievements directly impact the global energy poverty reduction process. Analyzing energy poverty in China is therefore critical to consolidating the results of poverty eradication, eliminating relative poverty, and improving th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172059/ https://www.ncbi.nlm.nih.gov/pubmed/37362171 http://dx.doi.org/10.1007/s11205-023-03129-2 |
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author | Wang, Fu Geng, Hong Zha, Donglan Zhang, Chaoqun |
author_facet | Wang, Fu Geng, Hong Zha, Donglan Zhang, Chaoqun |
author_sort | Wang, Fu |
collection | PubMed |
description | As the world’s most populous country, China’s energy poverty reduction achievements directly impact the global energy poverty reduction process. Analyzing energy poverty in China is therefore critical to consolidating the results of poverty eradication, eliminating relative poverty, and improving the social welfare of residents. However, prior research neither considered the applicability of existing energy poverty indicators to the current Chinese reality, nor the spatiotemporal disparities of energy poverty using micro-level data. To study the dynamics of energy poverty in China at the household level, a new multidimensional energy poverty index is constructed with seven dimensions using multiple correspondence analysis methods. Furthermore, provincial disparities and characteristics of energy poverty are compared using a spatial autocorrelation analysis method. The findings show that energy poverty has improved in China from 2012 to 2018, but its incidence and intensity remain high. Moreover, significant regional differences in energy poverty exist between different regions of China. High levels of energy poverty are mainly concentrated in the western and northeastern regions (especially in rural areas), and the urban–rural gap shows a similar pattern. The results obtained from spatial autocorrelation analysis demonstrate that China's energy poverty exhibits significant spatial clustering characteristics. Further, the results of standard deviation ellipse show that during the study period, the center of gravity of energy poverty in China was in Henan province and gradually shifted to the northwest. These findings help policymakers to formulate specific energy poverty reduction policies for various groups affected by energy poverty. |
format | Online Article Text |
id | pubmed-10172059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-101720592023-05-14 Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics Wang, Fu Geng, Hong Zha, Donglan Zhang, Chaoqun Soc Indic Res Original Research As the world’s most populous country, China’s energy poverty reduction achievements directly impact the global energy poverty reduction process. Analyzing energy poverty in China is therefore critical to consolidating the results of poverty eradication, eliminating relative poverty, and improving the social welfare of residents. However, prior research neither considered the applicability of existing energy poverty indicators to the current Chinese reality, nor the spatiotemporal disparities of energy poverty using micro-level data. To study the dynamics of energy poverty in China at the household level, a new multidimensional energy poverty index is constructed with seven dimensions using multiple correspondence analysis methods. Furthermore, provincial disparities and characteristics of energy poverty are compared using a spatial autocorrelation analysis method. The findings show that energy poverty has improved in China from 2012 to 2018, but its incidence and intensity remain high. Moreover, significant regional differences in energy poverty exist between different regions of China. High levels of energy poverty are mainly concentrated in the western and northeastern regions (especially in rural areas), and the urban–rural gap shows a similar pattern. The results obtained from spatial autocorrelation analysis demonstrate that China's energy poverty exhibits significant spatial clustering characteristics. Further, the results of standard deviation ellipse show that during the study period, the center of gravity of energy poverty in China was in Henan province and gradually shifted to the northwest. These findings help policymakers to formulate specific energy poverty reduction policies for various groups affected by energy poverty. Springer Netherlands 2023-05-11 /pmc/articles/PMC10172059/ /pubmed/37362171 http://dx.doi.org/10.1007/s11205-023-03129-2 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Wang, Fu Geng, Hong Zha, Donglan Zhang, Chaoqun Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics |
title | Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics |
title_full | Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics |
title_fullStr | Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics |
title_full_unstemmed | Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics |
title_short | Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics |
title_sort | multidimensional energy poverty in china: measurement and spatio-temporal disparities characteristics |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172059/ https://www.ncbi.nlm.nih.gov/pubmed/37362171 http://dx.doi.org/10.1007/s11205-023-03129-2 |
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