Empirical Analysis of Government Agricultural Spending and Agricultural Output in Nigeria
Bridget Ngodoo Mile, Victor Ushahemba Ijirshar, Simeon T. Asom, Joseph Tarza Sokpo, Joseph Fefa
Asian Journal of Economics, Business and Accounting · pp. 7–23 · Published 28 May 2021
10.9734/ajeba/2021/v21i730398Abstract
This study examined the relationship between government agricultural spending and agricultural output in Nigeria using annual time series data from 1981 to 2019. This study used descriptive and analytical techniques such as descriptive statistics, Augmented Dickey-Fuller test, VEC Granger Causality/Block Exogeneity Wald test, Johansen co-integration test, vector error correction test, impulse response, and variance decomposition. The study found that all variables were not stationary at level but became stationary at first difference. The study also revealed that there is a positive effect of government agricultural spending on agricultural output in Nigeria, though, significant in the long-run only. The study also showed that there is a bidirectional relationship between government agricultural spending and agricultural output in Nigeria at 10% level of significance and that agricultural output would respond positively to shocks in government agricultural spending in Nigeria during the forecast period. Therefore, the study recommends that government expenditure on agriculture should be improved upon the funds allocated to the sector and should be made available to real farmers through the provision of fertilizers, improved seedlings and grant aiding to farmers through farmers cooperatives while farmers in Nigeria should form farmers’ cooperatives to be able to easily access credit facilities from banks as well as enhancing their easy access to farm inputs provided by the government. More so, the Nigerian government should also increase the budgetary allocation to the agricultural sector to boost food production, alleviate poverty as well as meet up with the international standard.
Cited by 2
Xiangjuan Liu, Xibing Li · Processes · 2023
Showing 1 of 2 known citations — external sources report more than can currently be individually listed.
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