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Cited by 456

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A green ideology in Asian emerging economies: From environmental policy and sustainable development

Khan, Syed Abdul Rehman, Sharif, Arshian, Golpîra, Hêriş, Kumar, Anil·2019·Sustainable Development

Abstract

This panel study investigates the relationship between green logistics indices, economic, environmental, and social factors in the perspective of Asian emerging economies. This study adopted Fully Modified OLS (FMOLS) Model and Dynamic OLS (DOLS) Model methods to test the research hypothesis, catering the problem of endogeneity and serial correlation. The results suggest that logistics operations, particularly LPI2 (efficiency of customs clearance processes), LPI4 (quality of logistics services), and LPI5 (trade and transport‐related infrastructure), are positively and significantly correlated with per capita income, manufacturing value added and trade openness, whereas greater logistics operations are negatively associated with social and environmental problems including, climate change, global warming, carbon emissions, and poisoning atmosphere. In addition, human health is badly affected by heavy smog, acid rainfall, and water pollution. The findings further extend and reveal that political instability, natural disaster, and terrorism are also a primary cause of poor economic growth and environmental sustainability with poor trade and logistics infrastructure. There is very limited empirical work presented in the literature using renewable energy and green ideology to solve macro‐level social and environmental problems, and this study will assist the policy makers and researchers to understand the importance of the green concept in improving countries' social, economic, and environmental performance.

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Metadata

Authors
Khan, S. A. R., Sharif, A., Golpîra, H., & Kumar, A.
Venue
Sustainable Development
Publisher
Wiley
Published
2019-06-18
Volume
27
Issue
6
Pages
1063-1075
ISSN
  • 0968-0802 (ISSN-L)
  • 1099-1719
OpenAlex
W2952686683
Cited by
456
References
2
FWCI
64.84
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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