scholarly journals Agricultural Output and Economic Growth in Nigeria

Author(s):  
Ewetan Olabanji ◽  
Fakile Adebisi ◽  
Urhie Ese ◽  
Oduntan Emmanuel
2019 ◽  
Author(s):  
Richardson Edeme ◽  
Janefrancis Idenyi

Data from 15 ECOWAS countries from 2000-2017 were generated from World Development Indicators and Africa Infrastructure Development Index. Variables of concern are agricultural output, agricultural sector employment, access to electricity, transport, ICT, agricultural land, economic growth and FDI.


2018 ◽  
Vol 9 (4) ◽  
pp. 786
Author(s):  
Adedoyin Isola LAWAL ◽  
Abiola John ASALEYE ◽  
Joseph ISEOLORUNKANMI ◽  
Olabisis Rashidat POPOOLA

Drawing from three tourism-growth theories: tourism led growth theory; growth led tourism theory; tourism – growth neutrality theory; and one agriculture-growth nexus theory – agriculture overlapping theory, this study used the autoregressive distributed lag (ARDL) bound testing approach to examine whether or not cointegration exist among economic growth, agricultural output and tourism development in Nigeria. We intend to know what policy instruments need to be manipulated so as to achieve economic growth, increase agricultural output and enhance tourism development. From the results, it is evidence that a two –way cointegration exists between economic growth and agricultural output on the one hand, and between economic growth and tourism development on the other hand. The study also observed that a compelling long run relationship exist between agricultural output and tourism development. To achieve sustainable economic growth, policy makers are advised to pursue heavy investment in the tourism industry, adopts improved farming strategies driven by simple technology among others.


2013 ◽  
Vol 18 (5) ◽  
pp. 998-1017 ◽  
Author(s):  
Ayşe İmrohoroğlu ◽  
Selahattın İmrohoroğlu ◽  
Murat Üngör

This paper investigates the growth experience of one country in detail in order to enhance our understanding of important factors that affect economic growth. Using a two-sector model, we identify low productivity growth in the agricultural sector as the main reason for the divergence of income per capita between Turkey and its peer countries between 1968 and 2005. An extended model that incorporates distortions in the use of intermediate goods in producing agricultural output indicates that policies that have different effects across sectors and across time may be important in explaining the growth experience of countries.


2012 ◽  
Vol 4 (3) ◽  
pp. 66-95 ◽  
Author(s):  
Melissa Dell ◽  
Benjamin F Jones ◽  
Benjamin A Olken

This paper uses historical fluctuations in temperature within countries to identify its effects on aggregate economic outcomes. We find three primary results. First, higher temperatures substantially reduce economic growth in poor countries. Second, higher temperatures may reduce growth rates, not just the level of output. Third, higher temperatures have wide-ranging effects, reducing agricultural output, industrial output, and political stability. These findings inform debates over climate's role in economic development and suggest the possibility of substantial negative impacts of higher temperatures on poor countries. (JEL E23, O13, Q54, Q56)


2019 ◽  
Author(s):  
Richardson Edeme ◽  
Janefrancis Idenyi

Data from 15 ECOWAS countries from 2000-2017 were generated from World Development Indicators and Africa Infrastructure Development Index. Variables of concern are agricultural output, agricultural sector employment, access to electricity, transport, ICT, agricultural land, economic growth and FDI.


Author(s):  
Ikechukwu Kelikume ◽  
Stanley Emife Nwani

The agricultural sector is pivotal in poverty alleviation, job creation and food supply. In recent times the performance of the sector leaves more to be desired as its proportion in aggregate output fluctuated as output expands. This study empirically analysed the causal linkage between the agricultural sector output and economic growth in Nigeria using annualized time series data covering 1981 to 2018. Data were analysed using the Granger causality test, vector autoregression, and impulse response and variance decomposition econometric tools. The empirical results indicate that agricultural output did not perfectly interlink with economic growth. The causality test revealed that economic growth precedes agricultural sector output in a uni-directional manner, while the impulse response analysis indicated that economic growth does not respond swiftly to innovations in agriculture. The findings of our study did not corroborate the predictions of agriculture-led growth theorized by Kuznets (1968).


Author(s):  
T. Mohammed ◽  
T Damba ◽  
J. Amikuzuno

This study explored the relationship between agricultural output and economic growth in Ghana from 1960 to 2016 using monthly data on the Gross Domestic Product (GDP), Gross Capital Formation (GCF), agriculture and inflation. Despite several agriculture-led economic growth programmes that have been implemented by successive governments, including the very recent “Planting for Food and Jobs” to create jobs and boost economic growth, the contribution of agriculture sector output to the Ghanaian economy has been on the decline. The estimation results from the Johansen Maximum Likelihood co-integration and the Vector Error Correction Model (VECM) support evidence of a long-run relationship between agricultural output and economic growth in Ghana. Specifically, the co-integration test reveals that agricultural output and economic growth were found to be moving together in the long run. The Granger causality test showed a unidirectional causal relationship running from agricultural value-added to economic growth but no causal flow from general economic growth to agriculture. This indicates that agriculture is still an engine of economic growth in Ghana and hence requires pro-poor policies to address the numerous challenges.


2013 ◽  
Vol 73 (4) ◽  
pp. 1132-1163 ◽  
Author(s):  
Morgan Kelly ◽  
Cormac Ó Gráda

Carefully constructed but fallible historical estimates of GDP and agricultural output inform our understanding of the preindustrial origins of economic growth. Here we review four recent attempts at estimating agricultural output and food availability in England and Wales at different points between the Middle Ages and the Industrial Revolution. We highlight their contrasting implications for trends in well-being and nutritional status over time. Building on these estimates, we propose our own tentative, compromise estimate of food availability. The compromise estimates are more coherent with our understanding of conditions before and during the Industrial Revolution.


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