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Determinants of Demand for Infrastructure in Rural and Urban Nigeria

Determinants of Demand for Infrastructure in Rural and Urban Nigeria,Olumuyiwa B. Alaba,Olufunke A. Alaba

Determinants of Demand for Infrastructure in Rural and Urban Nigeria   (Citations: 2)
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One of the greatest challenges facing developing countries is the provision of basic infrastructure. Provision of infrastructure in these countries is often characterized by ineffectiveness, low quality, inaccessibility and unreliability. This paper analyzed the determinants of demand of one of the universal infrastructure in Nigeria. Water is a unique infrastructure which affects and is affected by economic development of any nation. Identification of major determinants is essential to formulating sustainable water policy. The paper utilized household data obtained from a survey conducted in four local governments of Oyo State. The survey randomly selected the surveyed areas based on the state classification of health zones, and then the zone was further classified into urban and rural areas. Analysis of this study was carried out using multinomial logit technique. We found that income, education, quality, time and government policy were variously significant at different levels of analysis of sources and areas.
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    • ...It postulates that the utility a farmer derives from a water source is a function of at least two sets of explanatory variables, namely: i. Source characteristics, which affects farmers utility ii. Farmers’ socioeconomic qualities, which affect differences in tastes and preferences among farmers (Whittington et al., 1990; Akin et al., 1995; Alaba & Alaba, 2004)...
    • ...These range from logit, probit to multinomial logit framework (for example, World Bank, 1993 & 2005; Whittington & Swarna, 1994; Nyong, 1998; Alaba & Alaba, 2004 etc.)...
    • ...Alaba and Alaba (2004) made use of the multinomial logit technique to analyse the determinants of individuals’ choice of utilizing a given water source...
    • ...Consider a farmer f, choosing from two alternative sources of water labelled for convenience, ‘i’ and ‘j’ and assume that there is a vector of observable source and farmer characteristics (covariates) X, which can be used to explain his choice (occurrence) of one source (outcome) or the other, we can specify a random utility function for the farmer following Manski (1973), Ben-Akiva and Lerman (1985), Alaba and Alaba (2004) thus:...
    • ...Empirical studies carried out in respect of preference for specific sources of water have indicated that cost, quality, collection time and quantity are significant variables that drive the decision of individuals in choosing their preferred sources (Alaba & Alaba, 2004; World Bank, 2005)...

    N. M. NKANGet al. Modelling Water Demand and Use Behaviour of Dry Season Waterleaf (Tali...

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