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The trilemma of innovation, logistics performance, and environmental quality in 25 topmost logistics countries: A quantile regression evidence
Journal of Cleaner Production ( IF 9.7 ) Pub Date : 2021-09-20 , DOI: 10.1016/j.jclepro.2021.129050
Cosimo Magazzino 1 , Andrew Adewale Alola 2, 3, 4 , Nicolas Schneider 5
Affiliation  

While the deployment of technological innovation was able to avert a devastating global supply chain fallout arising from the impact of ravaging COronaVIrus Disease 19 (COVID-19) pandemic, little is known about potential environmental cost of such achievement. The aim of this paper is to identify the determinants of logistics performance and investigate its empirical linkages with economic and environmental indicators. We built a macro-level dataset for the top 25 ranked logistics countries from 2007 to 2018, conducting a set of panel data tests on cross-sectional dependence, stationarity and cointegration, to provide preliminary insights. Empirical estimates from Fully Modified Ordinary Least Squares (FMOLS), Generalized Method of Moments (GMM), and Quantile Regression (QR) model suggest that technological innovation, Human Development Index (HDI), urbanization, and trade openness significantly boost logistic performance, whereas employment and Gross Fixed Capital Formation (GFCF) fail to respond in such a desirable path. In turn, an increase in the Logistic Performance Index (LPI) is found to worsen economic growth. Finally, LPI exhibits a large positive effect on carbon emissions, which is congruent with a strand of the literature highlighting that the modern supply chain is far from being decarbonized. Thus, this evidence further suggest that more global efforts should be geared to attain a sustainable logistics.



中文翻译:

25 个顶级物流国家的创新、物流绩效和环境质量三难困境:分位数回归证据

虽然技术创新的部署能够避免因肆虐的 19 型冠状病毒病 (COVID-19) 大流行的影响而导致的毁灭性全球供应链后果,但人们对这种成就的潜在环境成本知之甚少。本文的目的是确定物流绩效的决定因素,并调查其与经济和环境指标的实证联系。我们构建了 2007 年至 2018 年排名前 25 位的物流国家的宏观数据集,对横截面依赖性、平稳性和协整性进行了一组面板数据测试,以提供初步见解。完全修正普通最小二乘法 (FMOLS)、广义矩量法 (GMM) 和分位数回归 (QR) 模型的经验估计表明,技术创新、人类发展指数 (HDI)、城市化和贸易开放显着提升了物流绩效,而就业和固定资本形成总额 (GFCF) 未能以这种理想的方式做出反应。反过来,物流绩效指数 (LPI) 的增加被发现会恶化经济增长。最后,LPI 对碳排放有很大的积极影响,这与强调现代供应链远未脱碳的一系列文献一致。因此,这一证据进一步表明,应该做出更多的全球努力来实现可持续的物流。人们发现物流绩效指数 (LPI) 的增加会恶化经济增长。最后,LPI 对碳排放有很大的积极影响,这与强调现代供应链远未脱碳的一系列文献一致。因此,这一证据进一步表明,应该做出更多的全球努力来实现可持续的物流。人们发现物流绩效指数 (LPI) 的增加会恶化经济增长。最后,LPI 对碳排放有很大的积极影响,这与强调现代供应链远未脱碳的一系列文献一致。因此,这一证据进一步表明,应该做出更多的全球努力来实现可持续的物流。

更新日期:2021-09-24
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