Asymmetric impact of transportation on carbon emissions influencing SDGs of climate change

Ralison, Ny Avotra Andrianarivo Andriandafiarisoa; Nawaz, Ahsan

doi:10.1016/j.chemosphere.2023.138301

Cited by 27 publications

(12 citation statements)

References 31 publications

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“…Numerous studies have shown that transportation significantly increases energy consumption and furthermore the environmental degradation by increasing the carbon dioxide emissions. These findings are largely supported by Avotra and Nawaz (2023) and Rehman et al (2023) for Pakistan, Timilsina and Shrestha (2009) and Shafique et al (2021) for Asian countries; Shahbaz et al (2015), and Achour and Belloumi (2016) for Tunisia. The study found a statistically significant positive relationship between TCO2 emissions and TR at a 1% significance level.…”

Section: Source: Authors' Estimation Under Eviews 12mentioning

confidence: 68%

Dynamic nexus between poverty and indicators for sustainable transportation in MENA countries: Evidence from panel PMG-ARDL approach

Ouni,

Abdallah

2024

Preprint

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Sustainable transportation indicators have attracted significant attention from policymakers, engineers, and academics. This heightened interest can be attributed to the transportation industry's impact on economic growth, poverty alleviation, and the environment. While numerous studies have explored the relationships between the transportation sector, poverty, economic growth, and environmental degradation on a global scale, there is a noticeable research gap concerning the Middle East and North Africa (MENA) region. This study addresses this gap by investigating the nexus between poverty, transportation-related CO2 emissions, economic growth, trade openness, urbanization, road infrastructure and transportation energy consumption in 14 MENA regions from 1983 to 2021. To achieve this objective, this investigation employs the panel pooled mean group-autoregressive distributed lag (PMG-ARDL) model to explore the long-term relationships among these variables. The findings, as revealed by the Dumitrescu-Hurlin panel causality, show a reciprocal relationship between poverty, transportation-related CO2 emissions and economic growth. Moreover, the study identifies a unidirectional relationship running from road infrastructure to poverty. Additionally, a unidirectional causality runs from both economic growth and poverty to transportation-related energy consumption. Furthermore, a bidirectional causality exists between trade openness and transport CO2 emissions, and a unidirectional causality running from trade openness to economic growth. These findings emphasize the importance of policymakers to adopt strategies that equally prioritize poverty alleviation, environmental sustainability, and economic development to attain sustainable transportation in MENA region.

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Section: Source: Authors' Estimation Under Eviews 12mentioning

confidence: 68%

Dynamic nexus between poverty and indicators for sustainable transportation in MENA countries: Evidence from panel PMG-ARDL approach

Ouni,

Abdallah

2024

Preprint

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“…According to statistical data provided by the International Energy Agency (IEA), carbon emissions emanating from the transportation sector account for over 25% of the total carbon emissions globally [31]. In numerous cities, road freight transport holds a prominent position as the primary mode of urban freight movement, often contributing significantly more to greenhouse gas (GHG) emissions than other modes, such as rail [32]. Measuring CO 2 emissions from urban transport at the city level is crucial for facilitating the transition toward a low-carbon urban transport system.…”

Section: Carbon Emissions From Road Freight Transportmentioning

confidence: 99%

The Synergistic Relationship between Low-Carbon Development of Road Freight Transport and Its Economic Efficiency—A Case Study of Wuhan, China

Li,

Zheng,

Liu

et al. 2024

Sustainability

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Road freight transport, an essential component of the logistics sector, faces challenges: high cost, low efficiency, and environmental impact. The need has become urgent to achieve a synergistic balance between low-carbon and high-efficiency development. This study used a three-stage DEA–Malmquist index model to analyze the road freight efficiency of Wuhan and 16 other cities in China from 2015 to 2020, and we compared Wuhan’s performance with its peers. In addition, grey correlation analysis was used to evaluate the low-carbon development of urban road freight transport in Wuhan. Through the calculation of the degree of synergy between low-carbon development and freight transport efficiency, this study provides insights into the synergistic development of low-carbon and efficient road freight transport in Wuhan. The key findings show that the total factor productivity of road freight transport in Wuhan was generally on a downward trend from 2015 to 2020, and was lower than that of the average of the 17 selected Chinese cities. The carbon emissions of road freight transport in Wuhan inversely related to its scale efficiency. This study also points out that the synergy between low-carbon development and the economic efficiency of road freight transport in Wuhan is not high and needs to be further integrated and optimized.

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“…Additionally, quality assurance and documentation are supported by IS (Zhang, Ren, Li, Baharin, Alghamdi, & Alghamdi, 2023). This openness encourages clear communication among participants, avoiding misunderstandings and promoting quick decision-making (Avotra & Nawaz, 2023;Yang et al, 2022).…”

Section: The Power Of Information Systems (Is) In Design Integrationmentioning

confidence: 99%

“…This personalized strategy is critical for maintaining indoor comfort while reducing energy use. Because many rural communities rely on local resources for construction materials and energy sources, a design strategy that matches resource availability is required, pushing for the use of sustainable, locally derived materials with smaller carbon footprints (Avotra & Nawaz, 2023;Nawaz, Chen, & Su, 2023b). Socioeconomic factors also have a considerable impact on rural energyefficient architecture.…”

Section: Introductionmentioning

confidence: 99%

Leveraging Information Systems, Big Data Analytics, and AI for Energy-Efficient Design of Rural Residences

Hu,

2023

J INFORM SYSTEMS ENG

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The integration of Information Systems (IS), Big Data Analytics (BDA), and Artificial Intelligence (AI) has ushered in a new era of energy-efficient design for rural residences. This study delves into the intricate synergy between technology and sustainability, unveiling the transformative potential of these tools in reshaping rural living spaces. The exploration spans from the conceptualization of designs to their real-world implementation, highlighting the pivotal role of IS in facilitating collaborative efforts among stakeholders. The study further uncovers the power of Big Data Analytics in deciphering energy consumption patterns, climatic variations, and occupant behaviours. These insights lay the groundwork for AI-powered simulations that optimize energy efficiency while ensuring occupant comfort. The study underscores the consequences of ineffective design, elucidating how it amplifies energy consumption, escalates environmental impact, and compromises residents' quality of life. In contrast, the integration of IS, BDA, and AI results in energy-efficient residences, marked by reduced energy usage, enhanced indoor comfort, and economic savings. Despite challenges such as limited resources, harsh climates, and technical expertise gaps, innovative solutions in the form of training programs, data privacy protocols, and collaborations emerge as beacons of progress. Looking to the future, emerging trends like smart grids, Internet of Things (IoT) integration, and AI-driven predictive maintenance shape the narrative of rural residences design. Rural communities stand poised for self-sufficiency and sustainability, empowered by the fusion of technology and ecological mindfulness. The recommendations presented in this study offer actionable insights for construction professionals, policymakers, and researchers, emphasizing interdisciplinary collaboration, continuous monitoring, and ongoing training. Future directions include greater investigation of new trends in sustainability, smart grids, and predictive maintenance, which will help rural communities become self-sufficient and environmentally conscientious.

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Asymmetric impact of transportation on carbon emissions influencing SDGs of climate change

Cited by 27 publications

References 31 publications

Dynamic nexus between poverty and indicators for sustainable transportation in MENA countries: Evidence from panel PMG-ARDL approach

Dynamic nexus between poverty and indicators for sustainable transportation in MENA countries: Evidence from panel PMG-ARDL approach

The Synergistic Relationship between Low-Carbon Development of Road Freight Transport and Its Economic Efficiency—A Case Study of Wuhan, China

Leveraging Information Systems, Big Data Analytics, and AI for Energy-Efficient Design of Rural Residences

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