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Journal of Sustainable Development in Africa (Volume 12, No.2, 2010) - page 3 / 17





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Ojany (1973) presented factors affecting industrial location as including government influence, influence of raw materials, influence of transfer costs, influence of processing costs, influence of power and water supply, and, lastly, influence of agglomerating economies and/or industrial interdependence. All these factors are often put into consideration in the establishment of various industries in Nigeria (Oyebanji & Olawepo, 2006).

An inventory of industrial development in Kwara State shows that the commonest industrial pull factors were those of entrepreneurial decision making, government influence, and market and presence of raw materials, among others. However, the failing of these industries at a time when the government was clamouring for industrial development and diversification of economy .The basic question still remain: what were the likely factors that led to the demise of these industries? The aim of this study is twofold: firstly, it is to examine the spread of demised industries in Kwara State; secondly, it is to identify factors that led to their collapse, with a view to assess the implications towards sustainable development in the State. The outcome of these findings will help us to examine the implications of such development to the future development of the state’s industrial future.

MODELS OF INDUSTRIAL LOCATION One of the earliest theories of industrial location was presented by Alfred Webber and has been termed the least cost theory. Greenhut (1962) explained the least-cost location theory as a location theory which concerns itself with the search for the least-cost location. This is related to a situation where demand, being a factor, is regarded as constant; and where the locational interdependent, or market area theory, which suggests that any entrepreneurs reason for making locational decisions within various conditions and alternatives.

Hamilton (1967), on the other hand, examined the same theory by dealing with the distributional pattern of plant location and market area, thus a product of variations from one place to another in demand and of the locational interdependence of firms will determine the profitability levels of industries.

The distributional pattern of plant location and market area is thus a product of variations from one place to another and the locational interdependence of firms (Smith, 1971). In bringing together these two perspectives on location, the earlier work of Greenhut utilizes the maximization of revenue as the basis (reason) for optimum location and asserts further that each firm, entering the competitive


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