Green supply chain management, environmental degradation, and energy: evidence from Asian countries
type: Item
instance of: scholarly article
title: Green supply chain management, environmental degradation, and energy: evidence from Asian countries
zbMATH Open document ID: 1471.91362
DOI: 10.1155/2021/5179964
author: Yi Yu
author: Wanwan Zhu
author: Yuan Tian
published in: Discrete Dynamics in Nature and Society
publication date: 2021-10-08T00:00:00Z
review text: Summary: The purpose of this study is to test the relationship among green logistics, environmental degradation, and energy demand. The system generalized method of moment (system GMM) is used to study the data of Asian countries and four subregions in Asia. The estimation results show that logistics operation consumes nonrenewable energy such as fossil fuels, which has a negative impact on environmental sustainability and energy demand. The service quality and capability (LPITC) in the logistics performance index has a significant contribution to reducing carbon dioxide emissions. The logistics infrastructure (LPIIN) has significantly reduced the energy consumption in Asia, while the customs (LPIC) has significantly increased the energy demand. Other indicators of LPI also have a significant impact on the environment and energy in different subregions of Asia. Industrialization and urbanization both increase carbon emissions in Asia, while trade opening reduces carbon emissions. At the same time, these three variables have a positive impact on reducing energy consumption. The results show that logistics performance is significantly related to environmental degradation and energy, and renewable energy and green supply chain management can reduce the harmful effects of logistics activities on environment and energy. Therefore, Asian countries should give priority to environmental sustainability in supply chain management and encourage the application of green practices in logistics.
Mathematics Subject Classification ID: 91B76
zbMATH DE Number: 7407971
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2021/5179964
OpenAlex ID: W3194310640
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description: scientific article