Abstract

Evidence has shown that, sustainable agricultural intensification amidst stable economic environment offers workable options to eradicate poverty and hunger. This study examined the trend in agricultural intensification and determined the influence of some macroeconomic variables from 1960 to 2014 in Nigeria. The result showed that, all series were integrated of order one. The exponential trend analysis of agricultural intensification revealed an average annual negative growth rate of 1.60%, 2.10% and 0.10% in Herfindahl, Ogive and Entropy intensification indexes respectively. The long-run and short-run elasticity of the agricultural intensification were determined using the techniques of co-integration and error correction models. The estimation of the error correction model supported the long run stability of agricultural intensification in Nigeria. The empirical results revealed that, in the long run; inflation, industrial output, external reserves, per capita income, and energy consumption were negative drivers of agricultural intensification; whereas crude oil prices, lending rate of Bank, foreign capital in agriculture and non-oil import works in opposite direction. However, in the short run, inflation, external reserves and industrial output retards agricultural intensification; while lending rate of Banks and crude oil price were stimulants. A ten-year out sampled forecast of agricultural intensification showed a steady declined. The empirical results were further substantiated by the variance decomposition and impulse response analyses. It is recommended that, the Nigeria government should re-aligned its macroeconomic policies to achieve stability in inflation rate, external reserves, industrial production, electricity consumption, agricultural credit institution to achieve sustainable agricultural intensification in the long run.

Highlights

  • Agricultural sector has remained the center of most economic policies in Sub-Saharan countries

  • Agricultural intensification was proxy by Herfindhal intensification index (HCI), Ogive intensification index (OCI) and Entropy Intensification index (ECI)

  • Step method and Johansen‘s test were conducted on the specified variables to test for the presence of cointegration among series. The result of both tests rejected the null hypothesis of no cointegration between agricultural intensification index and macroeconomic variables in Nigeria

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Summary

RESEARCH METHODOLOGY

Study Area: The study was conducted in Nigeria; the country is situated on the Gulf of Guinea in the sub Saharan Africa. To determine the long run relationship between Agricultural intensification Index and selected macroeconomic variables in Nigeria, a time dependent regression model was specified at the level of variables. To validate the existence of the long run stable relationship between the agricultural intensification index and some macroeconomic variables in Nigeria, the study applied the Engle and Granger two-step technique and Johansen co-integration tests. The general specification of the Error Correction Model for the agricultural intensification index equation in Nigeria is shown below: The variables are as defined previously in equation 6; and coefficients ( ) of the ECMt (-1< < 0) measures the deviation from the long-run equilibrium in period (t-1). In estimating an Error Correction Model, this study applies the Augmented Dickey- Fuller (ADF) – Generalized Least Squares (GLS) test to examine the stationary characteristics of specified series. The test variant offers greater power than the regular ADF test

RESULTS AND DISCUSSION
HCI OCI
SUMMARY AND RECOMMENDATIONS
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