Public Education Funding and Economic Growth IN Nigeria; ARDL-VECM and Causal Inference Approach

Abstract

Considering the enormous impact of poor standard of educational system in Nigeria over the years, the study investigated the effects of public education funding on economic growth in Nigeria from 1985 to 2019. The paper used secondary data sourced from both Central Bank of Nigeria Statistical Bulletin and World Bank’s Development Indicators 2019. The paper employed Auto-Regressive Distributed Lag co-integration, Error correction mechanism and granger-causality tests as technique for data analysis. The ARDL bound test co-integration results revealed that RRETE, RCETE and Inflation have positive relationship with Economic growth. However, RETE, SEDU and PRI have indirect influence on Economic growth in Nigeria. Statistically, only RRETE has a long run causal effect on economic growth. ARDL Error Correction Regression output showed that RETE and RCETE are significant at 10% level while PRI is significant at 5% level this indicates the existence of short run causal relationship with the establishment of ECM long run equilibrium adjustment speed. The causal results revealed unidirectional inference between SEDU and RETE, PRI and RETE, PRI and RRETE with no feedback effect. Therefore, the study recommended educational funding targeted at secondary and primary education system in order to acquire productive skills and knowledge to stimulate economic growth and development in Nigeria. There is need to meet the UNESCO funding ratio for both recurrent and capital expenditure on education sector.