The Impact of Port Characteristics on International Maritime Transport Costs

This article summarizes the arguments within the scientific discussion on the issue of using mining machines and their life cycle. The main goal of the article is to investigate the impact of a combination of mobile and stationary mining machines and their optimal distribution in the mining process to increase the efficiency of mining and processing of raw materials. The following methods of research were focused on the use of technical indicators for the valuation efficiency of the mining process: a simulation method was used for the distribution of mining machines, comparison analysis was used for the real and past state of mining machines, and a decision tree was used as managerial instrument for optimal alternatives of mining machines. The research empirically confirms and theoretically proves that optimal distribution of mining machines and machine parks is very important for mining companies. The benefit of this research for the mining company was the new location of the machines and the combination of stationary production lines and mobile equipment. The optimal layout of the machines reduced the number of conveyor belts and improved the transfer of limestone processing to mobile devices, saving time, which was reflected in transport costs. The results can be useful for other mining companies seeking to create an optimal machine park.

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

Sustainability ◽

10.3390/su13147961 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7961

Author(s):

Alexandra Fratila (Adam) ◽

Ioana Andrada Gavril (Moldovan) ◽

Sorin Cristian Nita ◽

Andrei Hrebenciuc

Keyword(s):

Economic Growth ◽

European Union ◽

Panel Data ◽

Panel Data Analysis ◽

Maritime Transport ◽

The European Union ◽

Panel Data Regression ◽

Green Investment ◽

Port Infrastructure ◽

The Impact

Maritime transport is one of the main activities of the blue economy, which plays an important role in the EU. In this paper, we aim to assess the impact of maritime transport, related investment, and air pollution on economic growth within 20 countries of the European Union, using eight panel data regression models from 2007 to 2018. Our results confirm that maritime transport, air pollutants (NOx and SO2) from maritime transport, and investment in maritime port infrastructure are indeed positively correlated with economic growth. In other words, an increase of 10% in these factors has generated an associated increase in economic growth rate of around 1.6%, 0.4%, 0.8%, and 0.7% respectively. Alongside the intensity of economic maritime activities, pollution is positively correlated with economic growth, and thus it is recommended that policymakers and other involved stakeholders act to diminish environmental impacts in this sector using green investment in port infrastructure and ecological ships, in accordance with the current European trends and concerns.

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Research on the impact of maritime transport service in the trade deficit

Proceedings of the 2016 International Conference on Education, Sports, Arts and Management Engineering ◽

10.2991/icesame-16.2016.241 ◽

2016 ◽

Author(s):

Fengju Cheng

Keyword(s):

Trade Deficit ◽

Maritime Transport ◽

Transport Service ◽

The Impact

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On the Historical Relationship between Port (In)Efficiency and Transport Costs in the Developing World

10.18235/0003326 ◽

2021 ◽

Author(s):

Matías Herrera Dappe ◽

Tomás Serebrisky ◽

Ancor Suárez-Alemán

Keyword(s):

Developing Countries ◽

Service Provision ◽

Cost Model ◽

Transport Cost ◽

Maritime Transport ◽

Parametric Approach ◽

Transport Costs ◽

Port Efficiency ◽

Container Ports ◽

Historical Relationship

Do differences in port performance explain differences in maritime transport costs? How much would improvements in port performance reduce maritime transport costs in developing countries? To answer this question, we use a widely used transport cost model, but we provide a new measure of port efficiency, estimated through a non-parametric approach. Relying on data from the early 2000s, this paper shows that for a sample of 115 container ports in 39 developing countries, becoming as efficient as the country with the most efficient port sector would reduce average maritime transport costs by 5 percent. For the most inefficient country, the reduction in transport costs could reach 15 percent. These findings point out the potential gains that can be achieved from the combination of betterquality investment and more efficient service provision in the port sector. The estimates in this paper cannot be updated because the databases were discontinued and it therefore highlights the need to generate data to evaluate the effectiveness of public policies that are key to competitiveness.

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