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Green supply chain management, economic growth and environment: A GMM based evidence
Journal of Cleaner Production ( IF 9.7 ) Pub Date : 2018-02-21 , DOI: 10.1016/j.jclepro.2018.02.226
Syed Abdul Rehman Khan , Yu Zhang , Muhammad Anees , Hêriş Golpîra , Arij Lahmar , Dong Qianli

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.



中文翻译:

绿色供应链管理,经济增长和环境:基于GMM的证据

这项研究的目的是检验绿色物流运营与能源需求,经济增长和环境可持续性之间的关系,以便在全球43个不同国家的面板数据中使关系变得更加清晰。该研究采用了广义矩量法(GMM)估计来进行可靠的推断。结果表明,物流业务消耗能源和化石燃料,而化石燃料和非绿色能源的数量对环境的可持续性产生重大的不利影响,并对经济增长产生负面影响。此外,与运输有关的基础设施和物流服务薄弱也是造成CO2和温室气体排放总量的主要因素。但是,碳排放会损害动植物,并降低经济增长速度。

更新日期:2018-02-21
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