This study attempted to examines the consequences of macroeconomic policy indicators on agricultural performance in Nigeria. The data set for this study consists of annual time series from 1970-2012. The study employ a one-step dynamic forecast model to analysis the nature of this impact. To ensure stationarity of the data, the study uses the individual root of Im, Pesaran and Shin unit root test. The result showed that real monetary aggregate, technological change introduced overtime and pass level of agricultural sector performance play a crucial role in affecting the agricultural gross domestic product in Nigeria. It is found that credit to agricultural sector and government expenditure on agriculture has less significant impact on agricultural performance. These findings support the growing view that revealed that the changes of macroeconomic policy instruments had substantial effect on the agricultural sector. It was recommended that policies should be designed to ensure high performance in the agricultural sector attract little or no interest and future favourable policies on agricultural development should be streamlined and implemented coherently.

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PurposeThe purpose of this paper is to investigate the impact of critical macroeconomic drivers like economic growth (gross domestic product (GDP)/capita), inflation and population size on the mortality rate of Nigeria. The general lockdown imposed by the government to curb the spread of coronavirus disease 2019 (COVID-19) has had so many effects like loss of jobs, insecurity, businesses collapsing, salary cuts, unemployment and increased prices of commodities in the market.Design/methodology/approachThe paper focused on secondary data for the period 1991–2019 for GDP/capita, inflation, population size and mortality rate which were obtained from World Development Indicators (WDI). Time series analysis tests like augmented Dickey–Fuller (ADF), Bounds co-integration and autoregressive distributed lag (ARDL) were used to determine the stationarity conditions of the variables, co-integration presence among the variables and to determine the short-run and long-run relationships between the endogenous and exogenous variables.FindingsThe study shows that the variables are stationary at different orders i.e. I (0) and I (1) and the presence of co-integration among the variables. There exists a positive relationship between GDP/capita and mortality rate on the short-run which means increase in GDP/capita does not reduce the mortality rate in the country, there is also a positive short-run relationship between inflation and mortality rate but there are no long-run relationships among the variables.Originality/valueThe paper clearly examines the impact of GDP/capita, inflation and population growth on mortality rate in Nigeria.

This paper addresses the effects of macroeconomic volatility on government consumption expenditure (GCE) in Nigeria well as the burdens and challenges it has been imposing on public welfare. Methodologically, a dynamic macroeconometric stochastic model was used to analysis the nature of the impacts, where GCE is presumed to depend upon changes in various indicators of macroeconomic performances. We empirically mode the relationship between GCE and the macroeconomy with a hybrid model that employs a reduced form coefficients of simultaneous equation models, to capture the dynamic interactions among the data and a structural economic model to describe the contemporaneous relationship between the variables. The Structural Auto-Regression (SVAR) process including the GCE, real exchange rate, general price level (inflation rate), unemployment rate and debt service obligation, is estimated over the period 1980-2008. The model ascertained the extent in which volatility of the macroeconomics does lead to a decline in GCE. We find that, the GCE response to structural one innovation appears to be greater in inflation than other endogenous and exogenous variables that is, an economic shock to inflation effect is stronger on the GCE at longer horizon. Also, inflation innovations play a larger role in explaining GCE forecast error variance in the short run than they do in the long run and this generates negative net effects on public welfare in the short run than long run.