The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Green supply chain management, economic growth and environment: A GMM based evidence
Abstract
Abstract The aim of this research is to examine the relationship between green logistics operations and energy demand, economic growth and environmental sustainability need to make factors for relationship clearer in a panel data of 43 different countries around the globe. The study employed panel Generalized Method of Moments (GMM) estimates for robust inferences. The results have revealed that logistics operations consume energy and fossil fuel, while the amount of fossil fuel and non-green energy sources create significant harmful effect on the environmental sustainability and also have negative effect on economic growth. In addition, poor transport-related infrastructure and logistics service are a major contributor of CO2 and total greenhouse gas emissions. However, carbon emission damages fauna and flora, and reduces economic growth. The findings suggest that renewable energy sources and green practices can mitigate harmful effect of logistics operations on environmental sustainability and spur economic activities with greatly export opportunities in a region.
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Citations
Cites
Yadav, R., & Pathak, G. S. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.06.120 · Cited by 1,463
Supply chain and logistics issues of bio-energy production
Gold, S., & Seuring, S. (2011) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2010.08.009 · Cited by 439
Waste biomass-to-energy supply chain management: a critical synthesis
Iakovou, E., Karagiannidis, A., Vlachos, D., Toka, A., & Malamakis, A. (2010) · Waste Management · doi:10.1016/j.wasman.2010.02.030 · Cited by 356
Cited by
Godil, D. I., Yu, Z., Sharif, A., Usman, R., & Khan, S. A. R. (2021) · Sustainable Development · doi:10.1002/sd.2167 · Cited by 398
Investigating 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
Azam, W., Khan, I., & Ali, S. A. (2023) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-22334-z · Cited by 279
Metadata
- Authors
- Rehman Khan, S. A., Zhang, Y., Anees, M., Golpîra, H., Lahmar, A., & Qianli, D.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 185
- Pages
- 588-599
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2789346375
- Cited by
- 324
- References
- 3
- FWCI
- 54.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rehman Khan, S. A., Zhang, Y., Anees, M., Golpîra, H., Lahmar, A., & Qianli, D. (2018). Green supply chain management, economic growth and environment: A GMM based evidence. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.02.226
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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.
