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Assessing Multidimensional Energy Poverty and Its Economic Impact on N11 Countries: Mediating Role of Energy Efficiency

This study seeks to estimate energy poverty using a multidimensional and wide-ranging category of indicators via the GRA-SRA approach. The study entails a case study analysis of the N-11 nations utilizing data from 2000 to 2017. Thus, a formulation of multidimensional energy poverty indexes of multidimensional indicators crosswise three dimensions is carried out. Energy availability, energy affordability, and energy cleanability, with regard to the N11 nations, are taken into account. The findings reveal that total energy poverty has progressed. We discover that Bangladesh (0.65) and Pakistan (0.47) are at risk concerning energy poverty, whereas the Philippines (0.36), Indonesia (0.33), and Vietnam (0.28) are less exposed to energy poverty. The relative changes in energy poverty are discovered among the N11 nations, where South Korea witnessed a consistent advancement in energy poverty, whereas Iran displayed a reduced trajectory and a vacillating trend. The findings indicate that the energy sources utilized for warming homes are essential within the scenario of energy poverty and inequality. Contrary to traditional steps, we assess the multidimensional energy poverty at the national level instead of the depths of gravity of energy poverty specifically for the energy-poor as against the whole population.
- Van Lang University Viet Nam
- Jiangsu University China (People's Republic of)
- Asian University Taiwan
- Nha Trang University Viet Nam
- Saigon University Viet Nam
Alternative medicine, Economics, Social Sciences, Economic Impact of Environmental Policies and Resources, GRA_SRA method, FOS: Health sciences, Sociology, Pathology, Panacea (medicine), Development economics, Nutrition and Dietetics, Geography, Statistics, Energy poverty, Pollution, economic conditions, FOS: Sociology, Economics, Econometrics and Finance, Fuel poverty, Physical Sciences, Protocol (science), Medicine, Economics and Econometrics, econometric estimation, Population, Nursing, General Works, energy poverty, Energy Poverty, A, Health Sciences, Indoor Air Pollution in Developing Countries, FOS: Mathematics, Poverty, Economic growth, Demography, Maternal and Child Nutrition in Developing Countries, N11 countries, Environmental Science, Energy (signal processing), Mathematics
Alternative medicine, Economics, Social Sciences, Economic Impact of Environmental Policies and Resources, GRA_SRA method, FOS: Health sciences, Sociology, Pathology, Panacea (medicine), Development economics, Nutrition and Dietetics, Geography, Statistics, Energy poverty, Pollution, economic conditions, FOS: Sociology, Economics, Econometrics and Finance, Fuel poverty, Physical Sciences, Protocol (science), Medicine, Economics and Econometrics, econometric estimation, Population, Nursing, General Works, energy poverty, Energy Poverty, A, Health Sciences, Indoor Air Pollution in Developing Countries, FOS: Mathematics, Poverty, Economic growth, Demography, Maternal and Child Nutrition in Developing Countries, N11 countries, Environmental Science, Energy (signal processing), Mathematics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
