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AS Canadians themselves will quickly inform you, this is a big, young country—Great Britain would fit into a small part of Alberta, large stretches of which are still not accurately recorded on large scale maps. Indeed, I listened to radio reports of a search for two aircraft on the first morning we were there. One aircraft (a helicopter) had been missing in the North Western Territories with a Calgary man aboard for two weeks and was eventually found crashed; the other, missing for two days, was a Cessna seaplane which had run out of fuel and punctured a float as it landed close to the shore of the Great Slave Lake. The occupants were rescued by air from this largely uncharted waste.

For many years it has been recognised that physical distribution is a promising area for the application of system modelling techniques. Freight transportation systems offer a rare combination of tractability and realistic opportunity for improvement. Large‐scale freight network models, for example, can be useful to state and national transportation system planners. Among other uses, the models permit examination of the impact of proposed changes on modal competition and on the flow of traffic over certain routes. Carriers may also find network models useful for their more limited planning purposes, such as determining the consequences of changes in a physical system. For example, facilities or links can be added, deleted, or modified in order to analyse the effects on tonnage and mode of shipment for the affected commodities. Specific routes can be added or eliminated in order to determine the worth of using those routes. Finally, firms can change the commodity tonnage between specific origins and destinations in order to assess future transportation needs.

This paper offers an approach for outlining the main dimensions surrounding clusters in three areas of knowledge: economic geography, strategic management and operations management, the first being considered its natural field of knowledge.

The work was developed using the citation analysis technique as applied to a database of 627 articles and 22,980 citations, taken from 15 important journals in the areas selected.

The results proved that the theoretical and conceptual bases are unique to each of the areas studied and that they have few topics in common between them. They are complementary, however, and this facilitates their reconciliation.

The sample base, despite considering fairly influential periodicals in the areas of knowledge selected, can be considered to be a limitation.

Common themes and different areas of knowledge surrounding the cluster concept were identified; despite being considered “common”, a more detailed examination of their content reveals very different, but certainly complementary emphases, which makes it possible to reconcile the areas of knowledge.

This paper aims to examine and compare the impact of foreign direct investment (FDI) inflows on bank deposits in aggregate as well as at the level of conventional and Islamic banks in Middle East and North Africa (MENA) countries. The study also tests hypotheses of direct and indirect impacts of FDI flow and FDI stock on bank deposits.

Static and dynamic panel generalized methods of moments (GMM) estimation techniques are applied to analyze a large data set of 491 commercial banks (422 conventional banks and 69 Islamic banks) across 18 MENA countries between 1993 and 2017 (12,275 year observations).

Empirical results indicate that inflowing FDI flow and FDI stock have a significant negative direct impact on deposits of MENA banks. The results lend support for the direct channel hypothesis for the effect of FDI on bank deposits and find no evidence in support of the indirect channel hypothesis. FDI inflows affect bank deposits directly via increased FDI-related excessive competition in the banking market. Deposits from conventional banks appear to be more affected than those from Islamic banks. The variation may due to the fact that Islamic banks have fewer multinational corporations (MNC) customers than conventional banks and therefore are less sensitive to fluctuations in FDI.

From this analysis, this study concludes that foreign investments have a higher productivity than local investments in MENA region. Attracting more FDI is aimed at increasing overall national productivity through competition. However, governments would be wise to enact such a policy to maximize benefits and minimize potential harm to local industry. Furthermore, FDI policy should encourage small to medium-size banks and firms (SMEs)’ participation and linkage with multinational banks and MNCs, while upgrading research and development institutions and innovation activities to help SMEs to benefit from potential spillovers from foreign presence in the industry. In addition, the linkage and connection between SMEs and foreign firms should be strengthened and promoted by government policy.

This study is the first of its kind to examine the effect of FDI inflows on bank deposits. It also provides an in-depth quantitative analysis of the impact of FDI flow and FDI stock, separately, on bank deposits for both conventional and Islamic banks. It distinguishes between direct and indirect channels through which FDI inflows may affect bank deposits. The study analyzes 25 years of panel data for 491 banks (12,275 year observations) and uses both static and dynamic panel GMM estimation techniques to analyze the data.

The purpose of this paper is to investigate and compare the impact of FDI inflows on bank loans in aggregate as well as at the level of conventional and Islamic banks in GCC countries. The paper also tests hypotheses of direct and indirect impacts of FDI inflow and FDI stock on bank loans.

The sample comprises a total of 70 banks (45 conventional and 25 Islamic banks). The period under consideration is 1995–2017. Static panel and dynamic panel GMM estimation techniques are applied.

Empirical results indicate that inflowing FDI and FDI stock have a significant negative direct impact on loans of GCC banks. The results lend support to the direct channel hypothesis for the effect of FDI on bank loans and find no evidence in support of the indirect channel hypothesis. FDI inflows affect bank loans directly via increased FDI-related liquidity, business activity or excessive competition in the banking market; they are not channeled through macro variables. Loans from conventional banks appear to be more affected than those from Islamic banks.

Given the attractiveness of the GCC economies to foreign investment, the potential volatility of investment-induced instability to the financial system in these economies should be on the radar of the central banks. Attracting more FDI is expected to increase overall national productivity through competition. However, government would be wise to enact a policy to maximize benefits and minimize potential harm to local industry. In addition, to achieve the goal of the new economic model, in turning the GCC economies into high-income and knowledge-driven economies by 2030, enhancement of efficiency and the quality of the workforce will contribute to creating productivity-driven economies.

It is widely recognized that FDI inflows are of great importance to the financial performance development of emerging and developing countries. However, their impact on bank loans has so far not been subject to accurate empirical assessment. This paper aims to fill this gap by providing an in-depth quantitative analysis of the impact of FDI inflow and FDI stock, separately, on bank loans for both conventional and Islamic banks in GCC countries. It distinguishes between direct and indirect channels through which FDI inflows may affect bank loans. The study uses both static and dynamic panel GMM estimation techniques to analyze the data.