Shang, Yunfeng and Razzaq, Asif and Chupradit, Supat and An, Nguyen Binh and Abdul-Samad, Zulkiflee (2022) The role of renewable energy consumption and health expenditures in improving load capacity factor in ASEAN countries: Exploring new paradigm using advance panel models. Renewable Energy, 191. pp. 715-722. ISSN 0960-1481, DOI https://doi.org/10.1016/j.renene.2022.04.013.
Full text not available from this repository.Abstract
The rapid growth of technological advancements and human activities has induced many undesirable effects in the environment that affect health and quality of life. Therefore, this study used a comprehensive indicator to measure the environment quality known as load capacity factor which is obtained from two main ecological components; bio-capacity and ecological footprints. The existing literature has not enough supporting evidence to explore the determinants affecting the load capacity factor in terms of environmental quality. This study evaluates the role of renewable energy consumption and health expenditures to improve the load capacity factor in ASEAN Countries from 1980 to 2018. The study employs the advanced Panel techniques (Banerjee and Carrion-i-Silvestre unit root and cointegration test and Cross sectional augmented ARDL) to evaluate the nature of association among model variables and address various econometric issues of panel data analysis such as cross-section dependency, structural break, and slope heterogeneity. The long-run results reveal that renewable energy consumption and health expenditures play a significant role in improving load capacity factors in ASEAN countries, whereas economic growth produces negative effects. These results imply that government should allocate a substantial budget for renewable energy and the health sector to improve the load capacity factor. (c) 2022 Elsevier Ltd. All rights reserved.
| Item Type: | Article |
|---|---|
| Funders: | Zhejiang Social Science Project 22NDJC169YB |
| Uncontrolled Keywords: | Load capacity factor; Renewable energy consumption; Health expenditures; Advanced panel model |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of the Built Environment |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 13 Oct 2023 18:48 |
| Last Modified: | 13 Oct 2023 18:48 |
| URI: | http://eprints.um.edu.my/id/eprint/42275 |
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