The Importance of Maritime Transport for Economic Growth in the European Union: A Panel Data Analysis

Frățilă, Alexandra; Gavril, Ioana Andrada; Niţă, Sorin Cristian; Hrebenciuc, Andrei

doi:10.3390/su13147961

Cited by 49 publications

(21 citation statements)

References 47 publications

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“…Their study proved that carbon emissions are significantly lower due to energy efficiency. Another study by [47] also proved this argument, favoring marine trade as the most energy-efficient and least carbon-emitting trade method. However, Ref.…”

Section: Literature Reviewmentioning

confidence: 79%

The Significance of Energy Factors, Green Economic Indicators, Blue Economic Aspects towards Carbon Intensity: A Study of Saudi Vision 2030

Waheed

2022

Sustainability

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The current study explores the nexus between energy factors, blue factors, green factors, and carbon intensity in Saudi Arabia. The non-linear ARDL technique is applied to data from 1991 to 2020. The results suggest that the overall impact of energy factors on carbon emission is insignificant, except the adverse shocks in energy intensity, which increase carbon intensity in the long run. Green factors are also irrelevant for carbon emissions in the post-Vision 2030 period. Nevertheless, blue factors are significant for minimizing carbon intensity for post-Vision 2030. Policymakers should invest in efforts to concentrate on energy and blue factors. Investment in the renewable energy and marine sectors is also essential to cater to carbon-related environmental issues.

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Section: Literature Reviewmentioning

confidence: 79%

The Significance of Energy Factors, Green Economic Indicators, Blue Economic Aspects towards Carbon Intensity: A Study of Saudi Vision 2030

Waheed

2022

Sustainability

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“…The more urbanized an area is, the more likely it is to have higher levels of economic activity, such as trade, manufacturing, services, or tourism. EO parameters can be associated to Maritime traffic 10,11 and aviation 12,13 as a proxy for touristic activity, trade and exchange. Fluctuations in the number of containers 14,15 located in a port or other depots can be associated with macro-economic trends.…”

Section: Motivationmentioning

confidence: 99%

EYE-Sense: empowering remote sensing with machine learning for socio-economic analysis

Stavrakakis,

Pacios,

Papoutsakis

et al. 2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

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EYE-Sense is a Web-GIS platform which allows for easy access to valuable socio-economic insights from Earth Observation (EO) data by offering a code-less approach. The platform enables users to access various EO parameters, such as atmospheric and water quality indexes, and night-light activity. Moreover, the platform's pre-trained computer vision models (Faster-RCNN, Mask-RCNN, and YOLO) empower users to detect objects such as, e.g., airplanes, ships, containers, and beach umbrellas, to address specific user-based tasks. To provide cost-efficiency, scalability, flexibility, and easy maintenance, EYE-sense adopts a serverless architecture, leading to up to 50.4% processing cost reduction when compared to traditional server-based solutions. By bridging the gap between data gathering and processing, EYE-Sense extends the reach of Earth observation data to a broader audience.

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“…GCC data is used, and the asymmetric ARDL method is applied to extract that all these blue economy factors add to the country's economic growth. Likewise, Fratila et al (2021) used maritime transport as a blue factor to check if it contributes to the economic growth of European Union countries. They used data for 11 years and found that investment in maritime transport is significantly and positively related to economic growth, and a 1% increase in these blue factors increases economic growth by 1.6%.…”

Section: Blue Factors and Sustainable Economic Growthmentioning

confidence: 99%

Energy Challenges, Green Growth, Blue Indicators, and Sustainable Economic Growth: A Study of Saudi Arabia

Waheed

2022

Eval Rev

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In recent years, the international community is struggling to achieve sustainable economic and environmental goals. Despite of the large literature, the impact of blue economy on sustainable growth and environment is missing, for the case of Saudi Arabia. The current study incorporates the energy, green, and blue indicators to examine the impact on sustainable goals of Saudi Arabia. For econometric estimations, we use the nonlinear ARDL approach to estimate the full sample and post-Vision 2030 sample. The findings confirm that blue economic activities are not mature enough to participate its role to achieve sustainable targets of Saudi Vision 2030. The outcomes of current study depict that blue indicators are neglected to attain sustainable economic and environmental goals. In view of econometric outcomes, we propose that Saudi Arabia have to emphasize on sea trade and ocean tourism. Moreover, the findings are useful to estimate the sustainable targets of Saudi Vision 2030.

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The Importance of Maritime Transport for Economic Growth in the European Union: A Panel Data Analysis

Cited by 49 publications

References 47 publications

The Significance of Energy Factors, Green Economic Indicators, Blue Economic Aspects towards Carbon Intensity: A Study of Saudi Vision 2030

The Significance of Energy Factors, Green Economic Indicators, Blue Economic Aspects towards Carbon Intensity: A Study of Saudi Vision 2030

EYE-Sense: empowering remote sensing with machine learning for socio-economic analysis

Energy Challenges, Green Growth, Blue Indicators, and Sustainable Economic Growth: A Study of Saudi Arabia

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