Green logistics, economic growth, and environmental quality: evidence from one belt and road initiative economies

Li, Xiaolong; Sohail, Sidra; Majeed, Muhammad Tariq; Ahmad, Waheed

doi:10.1007/s11356-021-12839-4

Cited by 67 publications

(42 citation statements)

References 45 publications

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“…Moreover, it tends to increase energy intensity for all income groups. This evidence underlines the necessity of energy-saving transport modes and green logistics practices as evidenced by Li et al (2021). However, we found a negative nexus between transport capacity and energy intensity for NRDEs, revealing that transport advancement may help in the mitigation of energy intensity even in resource-dependent countries where energy prices, on average, are relatively lower.…”

Section: Regression Analysissupporting

confidence: 52%

“…Thus, energy e ciency measured by output per energy supply or its inverse ignores the consumption side of energy and fails to fully capture the overall energy e ciency performance of countries. The existing studies cover individual countries (Takase and Murota 2004; He and Lin 2019; Nyangon and Byrne 2021) or some groups of countries classi ed by region (Esseghir and Khouni 2014;Liu et al 2018;Li et al 2021), income level/ development stage (Chang 2015;Sun et al 2019), or some economic blocs such as OECD (Schulte, Welsch, and Rexhäuser 2016) and BRICS (Nathaniel, Yalçiner, and Bekun 2021), which do not provide world evidence.…”

Section: Introductionmentioning

confidence: 99%

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Socio-Economic Productive Capacities and Energy Efficiency: Global Evidence by Income Level and Resource Dependence

Demiral¹,

Demiral

2021

Preprint

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This study tests the effects of productive capacities in socio-economic factors (human capital, transport, information-communication technology, institutions, private sector, and structural change) on energy efficiency in a sample of 125 countries. Energy efficiency is assessed by energy productivity (gross domestic product per unit of total primary energy supply) and energy intensity (total primary energy supply per capita). The world sample is divided into four income groups and an income-heterogeneous control group of non-renewable resource-dependent economies. The study utilizes cross-sectionally dependent and stationary panel data over the period 2000-2018. The analysis of variance shows that higher income groups monotonically have higher productive capacities and energy intensity. The regression results from appropriate fixed-effects and random-effects modeling reveal varied driver and barrier influences of the socio-economic factors on energy efficiency improvements (higher energy productivity and lower energy intensity). In some cases, predictors scale up both energy productivity and energy intensity indicating the issue of the rebound effect. Higher human capital capacity stimulates energy efficiency except for middle-income groups. Higher transport capacity reduces energy productivity, except for upper-middle-income economies, and tends to increase energy intensity for low-income and middle-income groups. The deployment of information-communication technologies is positively associated with energy productivity, except for low-income economies. Energy productivity performance of resource-dependent economies is improved by higher productive capacities in institutions and private sectors but impaired by structural change, whereas structural change drives energy efficiency in low-income economies. Additionally, the growth of gross national income per capita worsens energy efficiency for resource-dependent economies. Bidirectional feedback causalities are established between energy efficiency and its predictors in most cases. The heterogeneous findings are discussed for providing research and policy implications.

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Section: Regression Analysissupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Socio-Economic Productive Capacities and Energy Efficiency: Global Evidence by Income Level and Resource Dependence

Demiral¹,

Demiral

2021

Preprint

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“…In the new globalisation and development in the world, government officials, academic researchers, businesses, multinational corporations, policymakers, and other stakeholders in supply chain management (SCM) are concerned about logistics operations in terms of their sustainable development (Li et al, 2021). It is importance to ensure the environmentally stability in order to save the planet (environment), people (social) and the profit (economy) for the future generation.…”

Section: The Differences Between the Green Logistics And Geologisticsmentioning

confidence: 99%

Geologistics: An Emerging Notion in Maritime Supply Chain

KARIM¹,

Jeevan²,

Salleh³

et al. 2021

JML

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In line with the passage of time and the growing proliferation of technology, modern trends and prospects for logistics development have been defined in this paper. Effectively managing resources assists on suitable development approach to consistent and balancing all the resources that already exists. This is because the effective resource management manages to improve insight into resources availability as well as improves to the better, not only on environmental but also in profitability and human balance. Concerning to the modern concept in logistics, this paper aims to generalise and analyse the main concept of modern logistics development concept which called geologistics and the importance of the emergence of this concept in maritime perspectives. Therefore, the systematic literature review approaches have been employed. This paper evaluated journal or review articles based on the title, abstract, and keywords published in over the decades until the recent years. Thus, the result was reviewed in this paper are the definition of geologistics concept which can be define as utilising the existing resources in particular location by optimising an innovative approach in the supply chain for continues supply for human need, the importance of geologistics that could help in the global of process of manufacturing and services, and the overview of comparison between the green logistics and geologistics.

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“…As many of these socio-technical determinants also have economic origins, there has emerged a relatively newer approach to energy efficiency from a socio-economic perspective especially in social sciences. However, not much research has adopted this perspective and relatively fewer studies have considered socio-economic determinants such as human capital (Blanco and Grier 2012 ; Zallé 2019 ; Nathaniel et al 2021 ), transport and logistics performance (Figueroa et al 2014 ; Liu et al 2018 ; Li et al 2021a , b ), digital transformation and information-communication technology advancement (Sadorsky 2012 ; Schulte et al 2016 ; Yan et al 2018 ), institutional quality (Castiglione et al 2015 ; Sun et al 2019 ; Azam et al 2021 ), private sector and business environment (Chang 2015 ; Martinez 2016 ; Rieger 2019 ), and structural change (Nepal et al 2014 ; Atalla and Bean 2017 ; Sineviciene et al 2017 ). Studies cover these variables separately and tend to suffer from the missed effects (omitted variables) as they do not capture the overall impacts of the interconnected socio-economic factors.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, energy efficiency measured by output per energy supply or its inverse ignores the consumption side of energy and fails to fully capture the overall energy efficiency performance of countries. The existing studies cover individual countries (Takase and Murota 2004 ; He and Lin 2019 ; Nyangon and Byrne 2021 ) or some groups of countries classified by region (Esseghir and Khouni 2014 ; Liu et al 2018 ; Li et al 2021a , b ), income level/development stage (Chang 2015 ; Ozturk et al 2019 ; Sun et al 2019 ), or some economic blocs such as OECD (Salahuddin and Alam 2016 ; Schulte et al 2016 ) and BRICS (Baloch et al 2020 ; Nathaniel et al 2021 ). These studies do not provide world evidence.…”

Section: Introductionmentioning

confidence: 99%

Socio-economic productive capacities and energy efficiency: global evidence by income level and resource dependence

Demiral

2021

Environ Sci Pollut Res

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Green logistics, economic growth, and environmental quality: evidence from one belt and road initiative economies

Cited by 67 publications

References 45 publications

Socio-Economic Productive Capacities and Energy Efficiency: Global Evidence by Income Level and Resource Dependence

Socio-Economic Productive Capacities and Energy Efficiency: Global Evidence by Income Level and Resource Dependence

Geologistics: An Emerging Notion in Maritime Supply Chain

Socio-economic productive capacities and energy efficiency: global evidence by income level and resource dependence

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