scholarly journals Financial aspects of transport infrastructure development in regions

2018 ◽  
Vol 216 ◽  
pp. 02002
Author(s):  
Vyacheslav Bubnov ◽  
Yulia Bubnova
Keyword(s):  
Economic Growth ◽  
Factor Model ◽  
Transport Infrastructure ◽  
Infrastructure Development ◽  
Railway Transport ◽  
Model Classification ◽  
Regional Market ◽  
Level Of Economic Development ◽  
Selection Of

The level of economic development depends on many factors, among which infrastructure, including railway transport, is the key one. Financing of infrastructure-related projects on the regional level encourages economic growth. However, different level of overall development of subject of the Russian Federation causes inequality in the level of transport infrastructure development and makes common approach to its financing inapplicable. The necessity appears to build a model of financing for transport-related infrastructure with the use of statistical data and mathematical approach with the account of regional market peculiarities. Due to selection of indicators affecting economic growth and building parametric factor model, classification of financing on subfederal level was carried out, which makes it applicable for states with federal structure.

scholarly journals Empirical Evidence from EU-28 Countries on Resilient Transport Infrastructure Systems and Sustainable Economic Growth

2018 ◽  
Vol 10 (8) ◽  
pp. 2900 ◽  
Author(s):  
Ştefan Gherghina ◽  
Mihaela Onofrei ◽  
Georgeta Vintilă ◽  
Daniel Armeanu
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Air Pollutants ◽  
Causal Link ◽  
Transport Infrastructure ◽  
Railway Transport ◽  
Inland Waterways ◽  
Short Run ◽  
Sustainable Economic Growth

This paper examines the nexus between the main forms of transport, related investments, specific air pollutants, and sustainable economic growth. The research is important since transport may act as a facilitator of social, economic, and environmental development. Based on data retrieved from Eurostat, Organisation for Economic Co-operation and Development (OECD), and World Bank, the output of fixed-effects regressions for EU-28 countries over 1990–2016 reveals that road, inland waterways, maritime, and air transport infrastructure positively influence gross domestic product per capita (GDPC), though a negative link occurred in the case of railway transport. As concerning investments in transport infrastructure, the empirical results exhibit a positive impact on economic growth for every type of transport, except inland waterways. Besides, emissions of CO2 from all kind of transport, alongside other specific air pollutants, negatively influence GDPC. The fully modified and dynamic ordinary least squares panel estimation results reinforce the findings. Further, in the short-run, Granger causality based on panel vector error correction model pointed out a unidirectional causal link running from sustainable economic growth to inland waterways and maritime transport of goods, albeit a one-way causal link running from the volume of goods transported by air to GDPC. As well, the empirical results provide support one-way short-run links running from GDPC to investments in road and inland waterway transport infrastructure. In addition, a bidirectional short-run link occurred between carbon dioxide emissions from railway transport and GDPC, whereas unidirectional relations with economic growth were identified in the case of carbon dioxide emissions from road and domestic aviation. In the long-run, a bidirectional causal relation was noticed between the length of the railways lines, investments in railway transport infrastructure, and GDPC, as well as a two-way causal link between the gross weight of seaborne goods handled in ports and GDPC.

scholarly journals THE MAIN PRINCIPLES OF MODELLING THE INTERACTION BETWEEN TRANSPORT INFRASTRUCTURE DEVELOPMENT AND ECONOMY

Transport ◽  
2005 ◽  
Vol 20 (3) ◽  
pp. 117-122 ◽  
Author(s):  
Algirdas Jurkauskas ◽  
Diana Micevičiene ◽  
Jurgita Prunskiene
Keyword(s):  
Economic Growth ◽  
Economic Theory ◽  
Work Stress ◽  
Transport Infrastructure ◽  
Infrastructure Development ◽  
Infrastructure Projects ◽  
Ecological Problems ◽  
Additional Production ◽  
The Relationship ◽  
Main Shortcoming

The practical need of measuring the interaction between transport infrastructure development and economic growth is determined by the neccesity to justify huge invetsments in infrastructure projects. As it was established the actualify of the topic analysed is proved by many authors working in the field. However, the main shortcoming in the presented work (stress only on the relationship transport infrastructure ‐ economy expressed in the terms of additional production of GDP) is the existence of the playback between the interdependent items. Considering the practice to be cardinally inadequate in the terms of economic theory and modern attitude to ecological problems,the authors of the article present the main principles of quantitive evaluation of the aforementioned realationship taking into account overlaping links of the categories analysed.

The Impact of Infrastructure on Growth and Development

2017 ◽  
pp. 84-113 ◽  
Author(s):  
Bertha Z. Osei-Hwedie ◽  
Napoleon Kurantin
Keyword(s):  
Economic Growth ◽  
Road Transport ◽  
Transport Infrastructure ◽  
Infrastructure Development ◽  
External Financing ◽  
Key Factor ◽  
Vector Auto Regression ◽  
The Government ◽  
The Impact ◽  
Auto Regression

Infrastructure development is considered a key factor in promoting economic growth and attracting foreign investors for sustainable production and productivity. Conversely, inadequate levels of infrastructure constrain economic growth, a situation developing countries find themselves in. This requires the government to invest in infrastructure supplemented by external financing. This chapter, therefore, discusses how levels of infrastructure development affect economic growth in Ghana, since 1986 to date. The focus is on road transport infrastructure and its impact on economic growth under successive Ghanaian governments. Using the Cobb-Douglas production function and Vector Auto-regression (VAR) approach our analysis shows a positive relationship between infrastructure development and economic growth. This explains governments' improved allocation and expenditure on infrastructure development and maintenance in the 2000s. Ghana governments' attempts to plan and prioritize development of infrastructure, roads in particular, and create a culture of maintenance are targeted at raising the country's competitiveness and attractiveness to foster growth of all sectors of the economy.

scholarly journals Image Classification of Beef and Pork Using Convolutional Neural Network in Keras Framework

2021 ◽  
Vol 5 (02) ◽  
pp. 245-248
Author(s):  
Salsa Bila ◽  
Anwar Fitrianto ◽  
Bagus Sartono
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Activation Function ◽  
Food Ingredient ◽  
Model Classification ◽  
Regularization Techniques ◽  
The Difference ◽  
Fully Connected ◽  
Selection Of

Beef is a food ingredient that has a high selling value. Such high prices make some people manipulate sales in markets or other shopping venues, such as mixing beef and pork. The difference between pork and beef is actually from the color and texture of the meat. However, many people do not understand these differences yet. In addition to socialization related to understanding the differences between the two types of meat, another solution is to create a technology that can recognize and differentiate pork and beef. That is what underlies this research to build a system that can classify the two types of meat. Convolutional Neural Network (CNN) is one of the Deep Learning methods and the development of Artificial Intelligence science that can be applied to classify images. Several regularization techniques include Dropout, L2, and Max-Norm were applied to the model and compared to obtain the best classification results and may predict new data accurately. It has known that the highest accuracy of 97.56% obtained from the CNN model by applying the Dropout technique using 0.7 supported by hyperparameters such as Adam's optimizer, 128 neurons in the fully connected layer, ReLu activation function, and 3 fully connected layers. The reason that also underlies the selection of the model is the low error rate of the model, which is only 0.111.Keywords: Beef and Pork, Model, Classification, CNN

scholarly journals The development of transport infrastructure development projects

2021 ◽  
Vol 326 ◽  
pp. 00034
Author(s):  
Alisa Sablina ◽  
Svetlana Borodulina
Keyword(s):  
Cost Effective ◽  
Development Project ◽  
Transport Infrastructure ◽  
Development Projects ◽  
Infrastructure Development ◽  
Project Implementation ◽  
Key Factors ◽  
Transport Services ◽  
Selection Of

In modern conditions, one of the key factors in the economic growth of any territory is an efficiently functioning infrastructure that determines the quality of life of the population and business activity in all sectors of the economy. Transport, which is the most important element of infrastructure, implies the need to constantly improve the quality of services provided to the population in order to form a single economic space on the territory of the country. The article discusses the methods of assessment and selection of transport infrastructure development projects currently used in Russia and abroad. The problems of applying the existing methods have been identified, which requires their refinement and improvement. The article proposes a method for multi-criteria assessment and selection of transport infrastructure development projects. It will contribute to the fastest and most effective achievement of the transport infrastructure development project goals in the regions and in the country as a whole. In addition, a mechanism for calculating the effects of project implementation on related industries has been determined. Methods for assessing the risk of project implementation are proposed. The scheme of the proposed method is presented, which allows monitoring the implementation of the project by checkpoints. The paper also presents an algorithm for multi-criteria assessment and selection of projects, demonstrating the possibility of practical application of the presented developments. The research on the basis of taking into account the interests of all potentially interested parties, solving systemic management problems (the absence of “manual guidance” and the introduction of a well-functioning selection mechanism), the clarity and transparency of the mechanisms developed allowed obtaining an adequate method and make the considered and selected project demanded and cost-effective on the market of transport services.

scholarly journals Development of theoretical approaches to pricing in freight rail in the XX–the beginning of XXI centuries

2020 ◽  
Vol 6 (4) ◽  
pp. 113-126
Author(s):  
Yuriy V. Egorov
Keyword(s):  
Large Scale ◽  
Rail Transport ◽  
Transport Infrastructure ◽  
Railway Transport ◽  
Synthesis System ◽  
Stage Of Development ◽  
Theoretical Approaches ◽  
Tariff System ◽  
Current Stage

Background: large-scale plans for the development of Russia's transport infrastructure, including the railroad, require revision and improvement of the modern tariff system; the latter is unthinkable without improving the existing theoretical approaches to pricing in freight rail transport. Aim: development of classification criteria for the evolution of theoretical approaches to pricing in freight rail transport in the XXearly XXI centuries on the basis of the most significant works on this topic; modelling the matching of the current stage of development of these theoretical approaches to modern scientific approaches of determining the economic category "price". Methods: comparative, analysis, synthesis, system approach. Results: we developed a chronological classification of theoretical approaches to pricing in freight rail transport in the XXearly XXI centuries. (with the identification of the correspondence of the stages of development of the theory to the periods of development of railway transport), a classification of the current stage of development of these approaches in the main directions of development, and the model of the matching of the elements of the classification of the current stage of development of these approaches to modern scientific approaches to determining the economic category "price". Conclusion: the developed classifications and the matching model can be used in the future to improve the existing theoretical approaches to pricing in freight rail transport, to develop fundamentally new similar approaches and methods of their application in pricing in practice.

scholarly journals Transport Infrastructure Development, Public Performance and Long-Run Economic Growth: A Case Study for the Eu-28 Countries

2018 ◽  
Vol 11 (1) ◽  
pp. 67 ◽  
Author(s):  
Elena Cigu ◽  
Daniela Tatiana Agheorghiesei ◽  
Anca Florentina Gavriluță Gavriluță (Vatamanu) ◽  
Elena Toader
Keyword(s):  
Economic Growth ◽  
Public Sector ◽  
Alternative Hypothesis ◽  
Transport Infrastructure ◽  
Infrastructure Development ◽  
Public Performance ◽  
Long Run ◽  
Public Sector Performance ◽  
Sector Performance ◽  
The Eu

This paper examines the link between the transport infrastructure and the economic performance in the EU-28 countries, over the period of time 2000–2014, using panel data methods. Firstly, we aim to provide the theoretical background of the transport infrastructure development, public sector performance and economic growth. The paper's key point is the detailed look at the components of transport infrastructure, analyzing the implications of the policy-makers based on a production function and in order to test the policy implication, factor analysis is also employed. The results show significant effects from transport infrastructure components even after institutional and other factors are controlled for. From the path analysis results, the study confirm the alternative hypothesis, outlining the unidirectional long-run causality relationship between growth, transport infrastructure and Public Sector Performance. Transport infrastructure status (measured thought index of transport) has significant impact on economic development with coefficient estimate. The public performance indicators influence the way to economic growth. On the one hand, the corruption, the regulatory environment, size shadow economy, infant mortality, income inequality, inflation and unemployment rate negatively affect the economic growth, and on the other hand there is a strong positive relationship between the quality of the judiciary, education achievement, life expectancy and economic growth.

The development of transport infrastructure of the Rostov-on-Don Oblast: The current state and priorities

2021 ◽  
Vol 17 (9) ◽  
pp. 1713-1736
Author(s):  
Ol’ga Yu. PATRAKEEVA ◽  
Olesya S. SAVEL’EVA
Keyword(s):  
Economic Growth ◽  
Positive Impact ◽  
Main Tool ◽  
Economic Security ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Transport Sector ◽  
Infrastructure Development ◽  
Current State ◽  
The Impact

Subject. The paper considers the current state and priorities of the transport infrastructure development of the Rostov-on-Don region with an emphasis on the effects of national and regional projects implementation. Objectives. The study overviews the statistical analysis of the current state of transport infrastructure in the Rostov-on-Don region, identifying key problems, determining the prospects and risks of implementing infrastructure transport projects. Methods. The methods of statistical and economic analysis are used. The available statistical indicators of the transport sector for 2000–2019 are analyzed. Results. The impact of infrastructure investment on economic growth is higher in regions with better-designed regional policies. At the same time, this conclusion only highlights the complexity of the channels through which infrastructure affects economic performance, as well as the problems that this complexity creates for empirical research. Studies on the relationship between infrastructure and economic growth have not produced definitive results. There is a positive correlation between the availability of regional transport infrastructure and availability of developed transport systems and economic indicators, for example, GRP. However, this correlation may reflect historical agglomeration processes, etc., rather than the current causal relationships. Conclusions and Relevance. The complex of infrastructural restrictions of the transport infrastructure of the Rostov region is the congestion of highways, the exhaustion of load-bearing road capacity and, as a result, the reduction of the transport permeability of the entire agglomeration. These problems put the implementation of projects to improve the transport and operational condition of the existing network of public roads, bringing the technical parameters and the level of engineering equipment of roads in line with the achieved traffic intensity levels among the priority tasks. The main tool for achieving the strategic goal is the Safe and High-Quality Roads national project. The implementation of the Rostov-on-Don Transport Ring project will also have a positive impact on the economic security of the region's road transport infrastructure.

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