Table 1 - uploaded by Harizi Riadh
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Source publication
The aim of this paper is to model and quantify the
interactions between transport, economic and population growth. To
do this, we have used an econometric analysis based on the Vector
autoregressive (VAR) and Vector error coorections (VEC) models.
This paper highlights two aspects of transport sector: i) the systemic
and historical aspect of transp...
Context in source publication
Context 1
... other variables become stationary with a first differentiation of their logarithmic forms, they are noted: DLGDP, DLTSTF, DLTETI, DLE, DLTMRP and DLTMHV. The two remaining variables become stationary by a second differentiation of their logarithmic forms: DDLpOps and DDLTMV, (Table 1). The Johansen and Josélius cointegration test helped detect five cointegration relationships (Table 2). ...
Citations
... They manifest in the short, medium, and long term, such that investments in transport infrastructure help to link supply with demand, which in turn will lead to improvements in the economic performance of private and public sector activities in the long term (Aschauer 1989;Munnell 1992;Garcia-Mila and McGuire 1992;Nadiri and Mamuneas 1994;Holtz-Eakin 1994). Thus, several previous works linking the kilometric traffic of people and/or goods have shown that improving traffic enhances the circulation of passengers and goods, which Harizi Journal of Shipping and Trade (2023) 8:1 in turn facilitates and accelerates economic transactions and leads to efficient economic functioning (The Organization for Economic Cooperation and Development (OECD) 2007; Harizi and M'raïhi 2014). In economic theory, any economic, social, or landscape modifications, such as developing transport infrastructure, are considered structuring effects. ...
... To assess the interactions between road transport and economic and population growth, Harizi and M'raïhi (2014) used vector error correction models that considered the systemic and historical character of transport, with them revealing several interactions between GDP, the transport system, and population over the 1960-2008 period in Burkina Faso. Their results proved that the interactions between growth and population occur over the medium and long term as a "snowball" phenomenon. ...
This study applied a Cobb–Douglas production function in an attempt to assess the effect of increased maritime sector investment on economic growth. It did this for the Tunisian economy based on panel data for the 1985–2020 period, thus making it possible to confirm the importance of spillover effects resulting from developing the Tunisian maritime infrastructure. Increases in added value for market services and non-manufacturing industries proves the benefits of investments but also the harm caused by the structuring effects of marine infrastructure. The results reveal, however, that the positive induced effects are not guaranteed, because the development of maritime infrastructure can have the opposite effect, such as by shrinking the size of the manufacturing industries in relation to services, which is a striking example of a negative effect that was suffered by the Tunisian economy.
... -direct, especially in terms of improving accessibility, including on the improvement of mobility, i.e. the expansion and improvement of transport, have a long-term impact on economic growth, therefore any increase requires the development of transport, without a well-developed transport, e.g. trade does not develop; -indirect, related to multiplier effects and having a short-term impact, e.g. the expansion of transport infrastructure led to an increase in public works financed by the state and the creation of additional jobs and an increase in income at the local level, thus stimulating economic growth. Hence, the development of transport is considered an integral component of the production and consumption cycle, which also has a positive impact on the development of the business sector [Harizi r., m'raïhi r. 2014]. ...
... Harizi and r. m'raïhi on Burkina Faso, one of the poorest countries in the world, using the Var model and the Vector Error correction model (VEcm) shows many interactions between GdP, the transport system and the population. They show that in the years 1960-2008 there were interactions in the medium and long term, known as the "snowball" [Harizi r., m'raïhi r. 2014]. ...
The post-war economic policy of West Germany (FRG) is largely associated with the so-called economic miracle (German: Wirtschaftswunder) and therefore its causes are the subject of many different analyzes. They include the correlation between the rate of economic growth in Germany and the development and transport potential of transport, including rail and road-car transport. This position prompted the author to try to search for long-term interdependencies and thus verify the thesis using the analysis of time series (1950–1989) available for West Germany and using original econometric methods in this field, e.g. unit root test to determine the stationarity and the Engle-Granger cointegration test.
In addition to the introduction, the article consists of three parts and conclusions. The broadest one includes the description of the assumptions and stages of the research procedure and its results, both on the empirical and methodological level. It is based on synthetic theoretical foundations presented on the basis of a review of international literature on the subject and review of the essence of the German economic miracle and the main trends in changes in the field of economic growth and transport development in Germany after World War II. The research presented in this way fits into the principles of the new economic history paradigm, which is still not very popular in Europe.
