Determinants of Agricultural Output in Nigeria

Omekwe, Sunday Omiekuma Pau; Bosco, ItoroEkpenyong; Obayori, Joseph Bidemi

doi:10.51386/25815946/ijsms-v1i4p109

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…This implies that government expenditure on agricultural sector does not crowed out private investment in the sector. This finding is consistent with Omekwe and Obayori (2018) and Brown and Iyadode (2020) who reported that government expenditure on agricultural sector as a fiscal policy variable contribute significantly to the growth of agricultural sector output and recommended that the government should increase its spending on agricultural sector which will in turn promote investment in the sector. The coefficient of total tax revenue LOG(TAX) as a fiscal policy shows direct and significant relationship with the growth of agricultural sector output in Nigeria.…”

Section: Long Run Statistic Regression Of Agricultural Outputsupporting

confidence: 90%

“…Using ARDL, Lawal, Fidelis, Babajide, Obasaju, Oyetade, Lawal-Adedoyin, Ojeka and Olaniru, (2018) found out that government expenditure on agricultural output was statistically insignificant in the period under study. The main focus of study of Omekwe and Obayori (2018) is the determinants of agricultural output in Nigeria from 1985 to 2016. Omekwe and Obayori's results showed that agricultural funding and climate change are key determinants of agricultural output in Nigeria.…”

Section: Literature Reviewmentioning

confidence: 99%

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Fiscal Policy, Institutional Quality and the Growth of the Agricultural Sector in Nigeria

2023

NIU JSS

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The productivity of the agricultural sector in Nigeria has dwindled over time despite the government's intervention through fiscal policy and institutional quality reforms. It is against this backdrop that this study employed the Fully Modified Ordinary Least Squares (FMOLS) methodology to examine the effect of fiscal policy, institutional quality, deposit money bank credit to the agricultural sector, interest rate and exchange rate on Nigeria's agricultural sector using data from 1986 to 2020. The ADF test was employed in testing the stationarity of the variables and the results revealed that all of the series were stationary at first difference. While the Johansen co-integration result revealed that growth in Nigeria's agricultural sector output is cointegrated. This implies that there is a long-run relationship between the growth of the agricultural sector and the explanatory variables. The findings from FMOLS regression results showed that government expenditure on agriculture and total tax revenue as fiscal policy variables have direct and significant impact on Nigeria's agricultural sector output. Also, the fiscal freedom index as institutional quality has an inverse but significant effect on Nigeria's agricultural sector output while the economic freedom index has a direct but insignificant impact on the agricultural sector in the country. Furthermore, deposit money bank credit to agriculture and exchange rates has direct and significant effect on agricultural sector output while interest rate has a direct but insignificant impact on agricultural sector performance. Therefore, the study recommended that the Nigerian government needs to fine-tune its fiscal responsibility by increasing its expenditure on the agricultural sector, there is a need for institutional reforms that will drive credit facilities to the agricultural sector, and promote favorable institutional environments, make it stronger and Anticorruption laws should be applied strongly, so that illegal agricultural sector business can be curtailed in the country.

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Section: Long Run Statistic Regression Of Agricultural Outputsupporting

confidence: 90%

Section: Literature Reviewmentioning

confidence: 99%

Fiscal Policy, Institutional Quality and the Growth of the Agricultural Sector in Nigeria

2023

NIU JSS

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“…The results concluded that the expansion of the Agricultural Credit Guarantee Fund has many positive signs for agricultural growth, especially in the crops and livestock sub-sector, but has a weak impact on fish production. The study proposes additional incentives to increase agricultural production and proposes measures to ensure that funds are used for specific agricultural activities Omekwe, Bosco and Obayori (2018) examined the determinants of Nigeria's agricultural exports from 1985-2016. It uses econometric co-integration testing techniques and the error correction model (ECM) approach, and the results of the Johansen test discovered that there is a cointegration comparison that fits the model for the ECM.…”

Section: Empirical Review Of Related Studiesmentioning

confidence: 99%

Central Bank Intervention Fund and Agricultural Output in Nigeria: An Ardl Approach

Alalade,

Omosebi,

Akinola

et al. 2023

Economics and Finance

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This paper examines the impact of central bank financial intervention funds on Nigeria's agricultural exports from 1990 to 2020 with the specific objective of determining the extent to which the funds are financed by the Agricultural Credit Guarantee Fund (ACGSF) in the agricultural sector concerned. Agricultural exports both short-term and long-term during the period were under review. The study uses annual time data obtained from the CBN and WDI database. The Auto-Regressive Distributed Lag (ARDL) technique and the ARDL Bound test were used to determine the short-term and long-term relationships of the variables. The results show that ACGSF shows a positive and significant relationship of agricultural export growth in the short run with coefficients of 0.23, 0.33 and 0.19, but a negative and insignificant relationship of agricultural export in the long run. The analysis also shows a positive and insignificance of employment in agriculture in relation to agricultural production in the short term, while negative and significant in the long term. The 68.3% of the change in the dependent variable, as revealed by the adjusted R2, is due to the combined effect of the independent variables. The study therefore seeks for greater and appropriate funding of the government scheme or monetary authority to have a positive impact on long-term agricultural exports in Nigeria and should ensure immediate repayment of loan(s) to the qualified farmer to avoid diversion, political influence and delay in poor implementation process due to bank deposits of money in the country.

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“…The low commodity cultivated is the lack of optimizing the land under the stand because of the high threat such as plants which are easily damaged by wild cattle. S1 0,48 0,1328 (4) 0,0323 (16) S2 0,2082 (1) 0,0506 (5) S3 0,1508 (3) 0,0366 (11) S4 0,1573 (2) 0,0382 (10) S5 0,1228 (6) 0,0298 (18) S6 0,1240 (5) 0,0301 (17) S7 0,1041 (7) 0,0253 (23) Weakness 0,27 (2) W1 0,34 0,2478 (1) 0,0679 (1) W2 0,1330 (3) 0,0364 (12) W3 0,0988 (7) 0,0271 (21) W4 0,1011 (6) 0,0277 (19) W5 0,1319 (4) 0,0361 (13) W6 0,1812 (2) 0,0496 (6) W7 0,1061 (5) 0,0291 (22) Opportunity 0,20 (4) O1 0,32 0,1732 (3) 0,0338 (15) O2 0,1820 (2) 0,0356 (14) O3 0,1219 (4) 0,0238 (24) O4 0,1135 (5) 0,0222 (25) O5 0,2521 (1) 0,0493 (7) O6 0,1007 (6) 0,0197 (26) O7 0,0567 (7) 0,0111 (27) Threats 0,29 (1) T1 0,40 0,2058 (2) 0,0592 (3) T2 0,1439 (5) 0,0414 (9) T3 0,1923 (3) 0,0553 (4) T4 0,2098 (1) 0,0604 (2) T5 0,1529 (4) 0,0440 (8) T6 0,0952 (6) 0,0274 (20) Source: Data processed 2021…”

Section: ) Weightingconsistency Ratio Of Swot and Swot Factorsunclassified

“…The results of research on the determinants of agricultural output in Nigeria, agriculture credit has positive and significant impact on agricultural output, is even one of the main determinants of agricultural output in Nigeria. Therefore, credit to the agricultural sector via the rural farmers should be encouraged [16].Meanwhile, in the global priority, the three highest values in a row are low cultivated commodities (0.0679), low farmers' desire to access capital to develop agroforestry (0.0604), and negative interactions between plant species or commodities (0.0592).…”

Section: ) Weightingconsistency Ratio Of Swot and Swot Factorsmentioning

confidence: 99%

Agroforestry Development Strategy in West Halmahera Regency, North Maluku

Sirajudin

Ridwan

Malamassam

2021

IJSMS

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The structure of agroforestry management in West Halmahera Regency was mostly managed modestly and the primary constituents were annual plants (Multi-Purpose Tree Species). The study aimed to 1) describe agroforestry patterns and systems, 2) identify and analyze internal and external factors whichwere determinants of agroforestry development attempts, and 3) formulate priority strategies to accelerate agroforestry development. The research was conducted from March to June 2021. The results showed that the agroforestry patterns applied by farmers were Agrisilviculture and Agrosilvopasturemodes. Furthermore, the results of the SWOT analysis showed that the alternative strategies which could be offered were 1) Socialization by relevant parties to encourage the community to enhance forestry plant cultivation, for the sake of soil and water conservation, and also as a business opportunity. In this regard, the community needed to be assisted with quality seeds, in addition to optimizing the use of available seeds on the community’s lands; 2) Increasing the intensity of the implementation of guidance, counseling, and assistance, taking into account the conditions and problems faced by farmers in the field; 3) Boosting the intensity of education and training to develop community insights and skills regarding good cropping systems, proper use of pesticides, pest and disease prevention in plants. The three alternative strategies offered are to overcome the weaknesses and deal with the threats experienced shortly agroforestry development efforts.

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Determinants of Agricultural Output in Nigeria

Cited by 5 publications

References 3 publications

Fiscal Policy, Institutional Quality and the Growth of the Agricultural Sector in Nigeria

Fiscal Policy, Institutional Quality and the Growth of the Agricultural Sector in Nigeria

Central Bank Intervention Fund and Agricultural Output in Nigeria: An Ardl Approach

Agroforestry Development Strategy in West Halmahera Regency, North Maluku

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