TECHNOLOGICAL LINKAGE CAPABILITY AND ‘PER CAPITA ELECTRICITY CONSUMPTION’ IN THE NIGERIA POWER SECTOR: AN EVALUATION OF PRE AND POST PUBLIC PRIVATE PARTNERSHIP INITIATIVE PERIOD
Abstract
This study evaluates how selected indicators of Technological Linkage Capability (TLC) such as investment in collaborative efforts via R&D and counterpart funding affects the ‘per capita electricity consumption’ in the Nigeria power sector for a period that can cover both the pre and post Public Private Partnership (PPP) initiative. The study adopted quantitative approach, a description via a trend analysis and expos facto research designs (to describe how the independent variable, present prior to this study, affects a dependent variable) was used in the quantitative approach. The data collected were analysed using descriptive statistics, regression analysis and coefficient of multiple determination. The finding of this research shows that technological linkage capabilities-investment in collaborative efforts, and research and development have a positive relationship with per capita electricity consumption in Nigeria between the year 2005 and 2012 (R = 0.797); The coefficient of multiple determinations (R2 = 0.991) shows that 99.10% of the change in per capita electricity consumption in Nigeria is accounted for by the investment in collaborative efforts, and research and development between 2013 and 2017. It was concluded among others that the post PPP era exhibits a stronger strength of association between the independent and the dependent variables for the hypothesis. However, the study shows also that policy makers have to be careful with policy indicators that show an inverse proportion on the dependent variable. This is because investment in collaborative effort shows an expected decrease in per capital electricity consumption for every unit increase its investment before and after the PPP initiative. The study thus recommended among others, a need for periodic review of individual indicators and variable that are expected to add values to the performance as the policies changes.
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