4.7 Article

Assessment of energy poverty and key influencing factors in N11 countries

期刊

SUSTAINABLE PRODUCTION AND CONSUMPTION
卷 30, 期 -, 页码 1-15

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ELSEVIER
DOI: 10.1016/j.spc.2021.11.002

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Energy poverty indicators; Carbon mitigation; GRA_SRA method; N11 countries

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This study aims to measure energy poverty using a multidimensional approach, combining indicators from N11 countries over a period of 16 years. Results show an overall alleviation of energy poverty, with Bangladesh and Pakistan being the most vulnerable economies, and the Philippines, Indonesia, and Vietnam less prone to energy poverty. Variations in energy poverty were found among N11 countries, with South Korea showing improvement and Iran displaying a fluctuating trend. The study emphasizes the importance of cross-border comparisons in regions with similar circumstances.
The objective of this study is to measure the energy poverty containing a multi-dimensional and comprehensive set of indicators by combining them via the GRA-SRA method. It involved a case study comprising N11 countries using data from 2001 to 2017. A multidimensional energy poverty index was constructed by combining 13 indicators across 3 dimensions (energy availability, energy cleanability and energy affordability) of the N11 countries. The results prove that the overall energy poverty is being alleviated. It was found that Bangladesh (0.65) and Pakistan (0.47) are the most vulnerable economies in terms of energy poverty while the Philippines (0.36), Indonesia (0.33), and Vietnam (0.28) are less prone to energy poverty. A relative variation in energy poverty was found between N11 countries where South Korea experienced a continuous improvement in energy poverty while Iran showed a decreasing trend with a fluctuating pattern. Furthermore, this study provides an international comparison analysis on energy poverty. The results clarify that the energy types used for heating, are essential in the context of energy poverty and inequality. This study highlights the significance and usefulness of cross-border comparisons of regions with similar climatic or other circumstantial factors. Higher energy availability causes a decrease in energy poverty. In return, lower level of energy poverty leads lower income inequality. (C) 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

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