A Panorama View of Household Energy-Related Factor Analysis and its Application in the Case Study of Vietnamese Residential Area
| Autor: | Jian Ge, Le Na Tran, Weijun Gao, Ji Xuan, Soichiro Kuroki, Hidetoshi Nakagami |
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| Rok vydání: | 2021 |
| Předmět: |
Consumption (economics)
History geography geography.geographical_feature_category Polymers and Plastics Public economics Energy (esotericism) Vietnamese Energy consumption Affect (psychology) Industrial and Manufacturing Engineering Energy policy language.human_language Residential area language Economics Business and International Management Path analysis (statistics) |
| Zdroj: | SSRN Electronic Journal. |
| ISSN: | 1556-5068 |
| DOI: | 10.2139/ssrn.3914094 |
| Popis: | Energy consumption in the household sector has been rapidly increasing in Southeast Asia countries and Vietnam is no exception. Since its economic growth and corresponding energy demand become more significant, related research is expected to have many potentials to be explored, including the household energy sector. This study generalizes a detailed picture of differentiating characteristics of household energy demand and energy-related lifestyles such as household patterns, housing designs, number of stay-at-home days a week, and occupant behaviors in two case studies in Vietnam. As this is emerging for the study area, open-source databases and researches play a major role in the energy policy transition and environmental impacts. Path analysis is a recommended method for assessing the influence of various household factors on energy consumption in the residential area. The results of the regression path and correlation matrix shed light on the “influence level” of direct and indirect factors, where household size, housing floor area, and the number of air conditioning significantly affect total energy consumption in the case study. The article highlights the multi-dimensional influences of household attributes on the end-use and emerges a holistic view of energy-related factor analysis to offer appropriate proposals for the energy-saving behaviors. |
| Databáze: | OpenAIRE |
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