The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Measuring the impact of renewable energy, public health expenditure, logistics, and environmental performance on sustainable economic growth
Abstract
The study aims to examine the potential relationship between public health expenditures, logistics performance indices, renewable energy, and ecological sustainability in Association of Southeast Asian Nations member countries. The study used secondary data, which downloaded from the World Bank website and tested for hypotheses using the structural equation modeling. The results show that the use of renewable energy in logistics operations will improve environmental and economic performance to reduce emissions, whereas environmental performance is negatively correlated with public health expenditures, indicating that greater environmental sustainability can improve human health and economic growth. The results also show that increased public health spending and poor environmental performance undermine economic growth in low efficiency and low labor productivity, thus reducing the speed of economic activity. On the other hand, the use of renewable energy in logistics cannot only improve the sustainability of the environment but also create a better national image and provide better export opportunities in environmentally friendly countries to promote sustainable economic growth. The outcomes of this study will help the policy/decision makers to make the proper planning to their investments for achieving sustainable economic growth.
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Cites
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Cited by
Doğan, B., Driha, O. M., Balsalobre Lorente, D., & Shahzad, U. (2021) · Sustainable Development · doi:10.1002/sd.2125 · Cited by 532
The Effect of Blockchain Technology on Supply Chain Sustainability Performances
Park, A., & Li, H. (2021) · Sustainability · doi:10.3390/su13041726 · Cited by 455
Khan, S. A. R., Yu, Z., Golpira, H., Sharif, A., & Mardani, A. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.123357 · Cited by 432
Self-citationInvestigating the effects of renewable energy on international trade and environmental quality
Khan, S. A. R., Yu, Z., Belhadi, A., & Mardani, A. (2020) · Journal of Environmental Management · doi:10.1016/j.jenvman.2020.111089 · Cited by 359
Self-citationRehman Khan, S. A., Yu, Z., Sarwat, S., Godil, D. I., Amin, S., & Shujaat, S. (2022) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2021.1872512 · Cited by 341
Metadata
- Authors
- Khan, S. A. R., Zhang, Y., Kumar, A., Zavadskas, E., & Streimikiene, D.
- Venue
- Sustainable Development
- Publisher
- Wiley
- Published
- 2020-01-06
- Volume
- 28
- Issue
- 4
- Pages
- 833-843
- ISSN
- 0968-0802 (ISSN-L)
- 1099-1719
- OpenAlex
- W3000285738
- Cited by
- 456
- References
- 1
- FWCI
- 58.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- Khan, S. A. R., Zhang, Y., Kumar, A., Zavadskas, E., & Streimikiene, D. (2020). Measuring the impact of renewable energy, public health expenditure, logistics, and environmental performance on sustainable economic growth. Sustainable Development. https://doi.org/10.1002/sd.2034
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.