Abstract:
This study examined the spatial disparities of infrastructural facilities (Health, Road and
Education) and human development indices (Level of Education, Health and Standard of Living)
across the 13 wards in Okitipupa local government area, Ondo state, Nigeria with a view to
correlate the strength of relationship between infrastructural facilities and human development
index. The search made use of both primary and secondary datasets. The primary datasets was
obtained through the administration of 400 copies of well-structured questionnaire among the 13
wards making up the Okitipupa LGA. Purposive random sampling technique was used in
administering the questionnaire. Also, Hand-held GPS receiver was used to capture the locations
of schools and health centres across the LGA. The secondary datasets include socio-economic
record, enrolment record, mortality and birth records, population data, administrative map and
major and internal roads within the LGA. The socio-economic and population records were
obtained from Ondo State Bureau of Statistics while the enrolment data was gotten from Ondo
State Ministry of Education. Also, mortality and birth data were obtained from Ondo State Primary
Health Care Board. Administrative map of the study area was extracted from the Nigeria LGA
shape-file while major and internal roads within the LGA was extracted from Google Earth
satellite imagery. Simple statistics was performed on the socio-economic data, school enrolment
data, mortality and birth data and on data collected through the questionnaire. This was used to
derive the Human Development Index of each of the13 wards making up the LGA. All maps and
spatial data were captured in the GIS platform for geospatial analysis. The data obtained from the
administered questionnaire were coded and integrated in the GIS platform for geo-statistical
analysis. Analyses was done in the ArcGIS platform to obtain the spatial distribution of the
infrastructural facilities and the HDI across the 13 wards of the LGA. Nearest Neighbourhood
Analysis (NNA) was also employed to examine the pattern of distribution while density analysis
was used to analyse the spatial density of the infrastructural facilities. Ordinary Least Square
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(OLS) regression analysis was also performed on the geodatabase to examine the impact of the
infrastructural facilities on the human development index in the study area and also to test the
significance of the result of the analysis. Results obtained were referenced to the UN standard for
Human Development. Results shows that the distribution pattern of schools and health centres
across the LGA is clustered. This implies that a larger percentage of the population is
disenfranchised from accessing these facilities. The highest density of schools per unit area in the
LGA was found in Okitipupa II, Ilutitun II, and Ode-aye I. The result confirmed earlier results of
concentration of schools around where settlements are more. The distribution of tarred roads
within the LGA also confirmed earlier result of locating infrastructural facilities around where
population is more as Okitipupa I and II have the highest number of tarred roads across the LGA.
The results for the categorization of Human development Index (HDI) and its component indexes
across the LGA show that Erinje(0.7260) and Okitipupa(0.7237) recorded the highest health index
while Ode-Aye II(0.4292) and Igbotako II(0.4382) have lowest health index. The income index
ranked highest in Okitipupa II (0.7808) while Ilutitun I (0.3485) recorded the lowest. The
Education index is ranked highest between Igbotako II (0.6475) and Okitipupa II (0.7056) while
Erinje (0.3932) and Ikoya/Oloto (0.3841) recorded the lowest. The overall mean HDI of the study
area is 0.5128 which falls within the UN low developmental categorization of ≤0.5. The most
developed ward among the sampled ward is Okitipupa II (with an HDI value of 0.7141) while the
least is Ilutitun I which recorded an HDI value of 0.4133. The regression result of Ordinary Least
Square (OLS) of the impact of the infrastructural facilities on human development showed that
HDI is directly affected by infrastructure facilities in Okitipupa LGA. Among the infrastructural
variables, level of income is found to exert the greatest positive effect on Human Development in
the LGA. Electricity and level of road construction variables were found to influence HDI
negatively. Other infrastructure variable exerting positive influence on HDI is the level of health
facilities in the LGA while provision of good drinking water is found to be negatively associated
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with human development in the LGA. The effects of infrastructure variables on three individual
indices of human development, namely, health index, education index, and income index showed
that provision of health facilities and level of income are found to have positive effects on health
index while provision of good drinking water and level of road construction are negatively
associated with health index. Interestingly, health index has positive association with the
components of infrastructural facilities. Education index also has a positive association with
income level and negatively associated with other infrastructure variables but its association with
component infrastructure facilities is positive. Provision of health facilities, level of income, and
provision of good drinking water have positive impacts on income index while level of road
construction and provision of electricity are negatively associated with income index but the
component infrastructural facilities are positively associated with income index. It is noteworthy
to state categorically that infrastructural facilities have significant impact on human development.
This reconfirms with various researches–JICA (2010), Kusharjanto and Kim (2011), Mohanty et
al., 2016), Sapkota (2014) and World Bank (1994) - that infrastructural development affect human
development. All other individual components of HDI (health index, education index, and income
index) are positively affected by infrastructural facilities in the study area. The level of income of
an individual in the LGA has the strongest effect on HDI and its individual components. It could
be inferred from the results that for a 1% change in the level of infrastructural facilities in
Okitipupa LGA, there will be a corresponding 0.581% change in the level of human development.