2022
DOI: 10.3390/jmse10040459
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Emphasis on Occupancy Rates in Carbon Emission Comparison for Maritime and Road Passenger Transportation Modes

Abstract: Carbon emissions generated by the transportation sector represent a large part of total greenhouse gas emissions and are thus subject to various policies and initiatives for emission reduction and the development of sustainable transportation networks. Furthermore, passenger transportation generates a significant amount of emissions within this sector, especially in those countries with large and developed tourist sectors. Examples of such countries are Italy and Croatia, located in the Adriatic region, with a… Show more

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Cited by 8 publications
(11 citation statements)
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“…To further understand the change mechanism of carbon emissions, some scholars began to explore the influencing factors of carbon emissions, and the studies involved the influencing factors mainly include economic growth, population size, industrial structure, gross national income, environmental quality, technological progress, and urbanization level (Xu et al, 2014;Shi et al, 2019;Meng et al, 2018;Li et al, 2011), and some studies further analyzed the spatial spillover effects of the influencing factors on carbon emissions (Xin et al, 2018;Gong et al, 2022). Theoretical studies are the basis of practical studies, and some scholars focus on the strong industry characteristics of carbon emissions, so they have gradually launched studies on carbon emissions from transportation (Xie et al, 2017;Zhu et al, 2020;Dujmovic et al, 2022), agriculture (Ali et al, 2022;Huang and Gao, 2022), aviation (Han et al, 2022), construction (Du et al, 2021;Du et al, 2022), logistics (Zhang Y. et al, 2021), and tourism. Further, related scholars have incorporated the topic of carbon reduction into the analysis of specific regional issues in order to improve the practical application value, and the carbon emission problems of some special regions have been widely studied, such as river basins (Sun et al, 2021;Wang et al, 2021), large cities (Qian et al, 2022), industrial cities (Zhang C. et al, 2021), urban agglomerations (Cui et al, 2020), metropolitan areas (Benjamin and Marilyn, 2009;Thomas, 2013), rural areas (Zhang et al, 2014), ports (Gian et al, 2020), etc.…”
Section: Introductionmentioning
confidence: 99%
“…To further understand the change mechanism of carbon emissions, some scholars began to explore the influencing factors of carbon emissions, and the studies involved the influencing factors mainly include economic growth, population size, industrial structure, gross national income, environmental quality, technological progress, and urbanization level (Xu et al, 2014;Shi et al, 2019;Meng et al, 2018;Li et al, 2011), and some studies further analyzed the spatial spillover effects of the influencing factors on carbon emissions (Xin et al, 2018;Gong et al, 2022). Theoretical studies are the basis of practical studies, and some scholars focus on the strong industry characteristics of carbon emissions, so they have gradually launched studies on carbon emissions from transportation (Xie et al, 2017;Zhu et al, 2020;Dujmovic et al, 2022), agriculture (Ali et al, 2022;Huang and Gao, 2022), aviation (Han et al, 2022), construction (Du et al, 2021;Du et al, 2022), logistics (Zhang Y. et al, 2021), and tourism. Further, related scholars have incorporated the topic of carbon reduction into the analysis of specific regional issues in order to improve the practical application value, and the carbon emission problems of some special regions have been widely studied, such as river basins (Sun et al, 2021;Wang et al, 2021), large cities (Qian et al, 2022), industrial cities (Zhang C. et al, 2021), urban agglomerations (Cui et al, 2020), metropolitan areas (Benjamin and Marilyn, 2009;Thomas, 2013), rural areas (Zhang et al, 2014), ports (Gian et al, 2020), etc.…”
Section: Introductionmentioning
confidence: 99%
“…From an FDI perspective, it is clear that foreign companies are not fully aligned with the UN’s sustainable goals and not using the new energy solutions in the country, while in TEC’s perspective the Italian government should come up with green solutions and new laws to protect the environment and reduce CO 2 pollution levels in the country. In other countries, Dujmović et al ( 2022 ), Muhammad et al ( 2021 ), Khan and Ahmad ( 2021 ), Nasreen et al ( 2020 ), Mishra et al ( 2020 ), and Baloch and Suad ( 2018 ) have drawn the same findings. In conclusion, our diagnostic tests confirm the perfectness of our model.…”
Section: Empirical Analysis and Resultsmentioning
confidence: 61%
“…The findings of the dynamic common correlated effect indicate that renewable energy, transport services, agriculture, forestry, fisheries, and economic growth have a substantial and favorable impact on tourism. The study by Dujmović et al ( 2022 ) identifies CO 2 pollution from maritime and road transportation on the existing cross-border passenger transportation routes between Italy and Croatia—the results presented as total CO 2 pollution for each method of TEC. The analysis provides a foundation for renovating the transportation network between Italy and Croatia and introducing new, sustainable, multimodal transportation routes.…”
Section: Theoretical Background and Empirical Reviewmentioning
confidence: 99%
“…In a study by Dujmovic et al (2022), carbon emissions comparisons were made between maritime and road transport on selected routes between Italy and Croatia in the Adriatic regions. The selected routes were Venice-Pula-Poreč (R1), Ancona-Zadar (R2), and Bari-Dubrovnik (R3).…”
Section: Resultsmentioning
confidence: 99%
“…Table 5 below shows the on-read and on-sea distance of each route. The occupancy rate and passenger demand are recipes for an optimal transportation mode choice in terms of carbon emission efficiency (Dujmovic et al, 2022). In another study by (Vallejo-Pinto et al, 2019) the need to focus on the main objective of a possible reduction in global greenhouse gas emissions as against a mere mode shift was emphasized.…”
Section: Resultsmentioning
confidence: 99%