Revisiting the economic growth and agriculture nexus in Nigeria: Evidence from asymmetric cointegration and frequency domain causality approaches

Published date01 February 2022
AuthorMary Oluwatoyin Agboola,Festus Victor Bekun,Olawumi Abeni Osundina,Dervis Kirikkaleli
Date01 February 2022
DOIhttp://doi.org/10.1002/pa.2271
ACADEMIC PAPER
Revisiting the economic growth and agriculture nexus in
Nigeria: Evidence from asymmetric cointegration and
frequency domain causality approaches
Mary Oluwatoyin Agboola
1
| Festus Victor Bekun
2,3
| Olawumi Abeni Osundina
4,5
|
Dervis Kirikkaleli
6
1
Dar Al Uloom University, Riyadh, Saudi Arabia
2
Faculty of Economics Administrative and
Social sciences, Istanbul Gelisim University,
Istanbul, Turkey
3
Department of Accounting, Analysis and
Audit School of Economics and Management,
South Ural State University, Chelyabinsk,
Russia
4
Department of Economics, Babcock
University, Ilishan-Remo, Nigeria
5
Department of Economics, Eastern
Mediterranean University, Famagusta, Turkey
6
Faculty of Economic and Administrative
Sciences, Department of Banking and Finance,
European University of Lefke, Mersin, Turkey
Correspondence
Dervis Kirikkaleli, Faculty of Economic and
Administrative Sciences, Department of
Banking and Finance, European University of
Lefke, Lefke, Northern Cyprus, TR-10 Mersin,
Turkey.
Email: dkirikkaleli@eul.edu.tr
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 ordi-
nary 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 live-
stock, 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 adjust-
ment 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 eluci-
dated in the concluding section.
JEL CLASSIFICATION
O13; Q32; Q33
1|INTRODUCTION
The challenges faced by humankind have not greatly changed; they are still
anchored on the three major basic needs of life: shelter, clothing, and food.
Ensuring the basic level of food security has continually been a challe nge
within African countries, of which Nigeria is not an exception. Nigeria is
reputed as Africa's most populous country with a huge population of over
170 million people. Unfortunately, most of its citizens have access to less
than the minimum daily calorie requirement, due to living on less than the
minimum required two dollars per day. To escape this food insufficiency, it
is important for the country to look inward to achieve sustained food secu-
rity; and to do that the agricultural sector needs to be revamped.
Economic growth is the heartbeat of economic development in
any country and is measured via the growth rate of a country's
national income; a higher national income should translate to higher
benefits for the citizens. Despite the significance of agriculture to eco-
nomic growth, there are two opposing schools of thought about the
relationship between agriculture and economic growth. Some have
argued that agriculture should be the bedrock of economic growth
(Alola & Alola, 2018; Gollin, Parente, & Rogerson, 2002; Lawal, 2011;
Mishra & Dash, 2014; Odetola & Etumnu, 2013; Oluwatoyese &
Applanaidu, 2014; Thirtle, Lin, & Piesse, 2003; Timmer, 1995); in con-
trast, Jorgenson (1961), Ranis and Fei (1961), Dercon (2009) and
Gollin (2010) maintain that the causal relationship between agriculture
Received: 2 April 2020 Revised: 3 June 2020 Accepted: 5 July 2020
DOI: 10.1002/pa.2271
J Public Affairs. 2022;22:e2271. wileyonlinelibrary.com/journal/pa © 2020 John Wiley & Sons Ltd 1of10
https://doi.org/10.1002/pa.2271

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