Revisiting the economic growth and agriculture nexus in Nigeria
Evidence from asymmetric cointegration and frequency domain causality approaches
Bibliographic Data
| ID | 12705404 |
|---|---|
| Authors | Mary Oluwatoyin Agboola (0000-0002-0933-3472, Dar Al Uloom University Riyadh Saudi Arabia, corresponding author), Festus Victor Bekun (0000-0003-4948-6905, Faculty of Economics Administrative and Social sciences Istanbul Gelisim University Istanbul Turkey), Olawumi Abeni Osundina (0000-0002-6404-6708, Department of Economics Babcock University Ilishan‐Remo Nigeria), Dervis Kirikkaleli (0000-0001-5733-5045, Faculty of Economic and Administrative Sciences, Department of Banking and Finance European University of Lefke Mersin Turkey) |
| Year | 2020 |
| Volume | 22 |
| Issue | 1 |
| Publication date | 2020-08-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Public Affairs (JOURNAL) |
| Journal identifiers | ISSN: 1472-3891 • E-ISSN: 1479-1854 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/pa.2271 |
| OpenAlex | W3060654392 |
| Language | EN |
| Citations received | 2 |
| References cited | 27 |
The contribution of different agricultural subsectors to economic growth in Nigeria is investigated and further suggests policy implications for investing in each of these subsectors. To this end, Johansen cointegration test and Gregory–Hansen test for cointegration with regime shift, vector error correction model (VECM), dynamic ordinary least squares (DOLS), fully modified ordinary least squares (FMOLS), Granger causality, and frequency domain causality test are employed for data from 1981 to 2016. This paper further highlights the long and causal dynamics between the selected agricultural subsector, namely forestry, crop production, fishery and livestock, and economic growth. Findings from time and frequency domain causality tests indicate a one‐way causality running from various subsectors of agriculture to economic growth in Nigeria, meaning how various subsectors of agriculture are important for predicting economic growth. In addition, there is 54% speed of adjustment from the error correction model, suggesting a need for diversification of the economy into the agricultural sector as a means for sustainable economic growth in the face of the continuous plunge in the global oil price. In the long‐run, the effect of forestry, crop production, and fishery on economic growth is statistically significant and positive. These outcomes have inherent policy implication(s), which are elucidated in the concluding section
Agriculture · Causality (physics · Cointegration · Econometrics · Economics · Error correction model · Granger causality · Johansen test · Macroeconomics · Nexus (standard · Ordinary least squares · Short run · Economic Growth and Development · Fiscal Policy and Economic Growth · Monetary Policy and Economic Impact · Ecology
A History of Nigeria
The Role of Agriculture in Development
A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics 1
A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems
Testing for short- and long-run causality
Income Distribution, Market Size, and Industrialization
Targeting agricultural research based on potential impacts on poverty reduction
Getting agriculture moving
The Impact of Research-Led Agricultural Productivity Growth on Poverty Reduction in Africa, Asia and Latin America
Agricultural transformations in India and Northern Nigeria
The Development of a Dual Economy
| Citations per year | 1 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |