This study examined the nexus between corruption, institutional quality and economic performance with the motivation to determine the extent to which economic performance is impeded by corruption and institutional quality in Nigeria. The autoregressive distribution lag (ARDL) technique was employed to test the short-run and long-run relationship among the variables of interest. The data used for the analysis were obtained from the World Development Indicators and the Central Bank of Nigeria’s Statistical Bulletin for the period 1970 to 2020. The study found that corruption has a negative and significant impact on economic performance in the long-run. In contrast, institutional quality was found to have a negative but insignificant effect on economic performance. This implies that despite the establishment of institutional structures and enactment of stringent laws to curb the menace of corruption, Nigeria still witnesses a decline in economic performance. As such, Nigeria has weak institutions and regulations to fight corruption. Contrastingly, the study revealed that human capital, trade openness and the working population exerted positive and significant impacts on economic performance. By implication, the Nigerian economy reacts positively to changes in human capital development, trade openness and working population in the long-run. This suggests that, with the availability of appropriate policies and resources, human capital development, trade openness, and working population growth have the potential to enhance Nigeria’s economic performance.
The main contribution of this study to knowledge is that it has enriched our understanding on various thoughts that have shaped artificial insemination technology adaptability and practice. The debates in this area have strengthened its application to new product development in a developing economy like Nigeria. Such application has consequences for developing optimal strategies by the stakeholders for enhancing sustainable product development. Equally, it helps to understand the general views and positions of the stakeholders in agriculture marketing on what would be the market potentials of a new technology in a developing market like Nigeria. By and large the study examines the views of stakeholders in order to determine the success and acceptability of AI technology among farmers and other stakeholders in Nigerian market.
This study examined the relationship among corruption, human capital development and Nigeria's economic performance with the motivation to answer questions linked to empirical data reported in recent literature. The study deployed the Auto Regressive Distributed lag (ARDL) to test the short-run and long-run relationship among dependent and independent variables using annual time series data from the World Bank's Development Indicators and the Central Bank of Nigeria over the period 1982 to 2020. Stemming from the empirical results, the short-run estimates revealed that human capital development, gross fixed capital formation, and government expenditure exert a positive and statistically significant impact on Nigeria's economic performance. However, the long-run estimation results indicate that corruption, government expenditure and trade openness exert a negative impact on economic performance. In the nutshell, economic performance responds negatively to changes in the country's level of corruption overtime. Nevertheless, it reacts positively to the changes in human capital development in the long-run. This implies that, with the availability of appropriate policies and resources, human capital development has the potential to massively enhance Nigeria's economic performance in the long-run. The nature of linkage between corruption and economic performance through human capital development remains less defended in the economic and social literature.
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