<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In Nigeria, the level of agricultural productivity and farmers’ income have been affected by inadequate financing, which invariably discourages job creation and increases unemployment rate. Therefore, the study examines the impact of agricultural financing on unemployment rate in Nigeria, using time series data collected from the Central Bank of Nigeria (CBN) and the World Bank database from 1981 to 2018. Using Johansen’s cointegration, Error Correction Method (ECM), and Granger causality analytical techniques, our findings show that AGRIC_GDP, AGRICL_TL, GR, LR, and RUTP have a long-run relationship with UNEMPR and are statistically significant. Also, the ECM of about 57%, which is statistically significant, provides an indication of a satisfactory speed of adjustment and translates that about 57 percent of the errors are corrected in each period. The study recommends among others that government policy on agricultural credit should place more emphasis on strengthening banks’ commitment.</p></abstract>

In Nigeria, the level of agricultural productivity and farmers’ income have been affected by inadequate financing, which invariably discourages job creation and increases unemployment rate. Therefore, the study examines the impact of agricultural financing on unemployment rate in Nigeria, using time series data collected from the Central Bank of Nigeria (CBN) and the World Bank database from 1981 to 2018. Using Johansen’s cointegration, Error Correction Method (ECM), and Granger causality analytical techniques, our findings show that AGRIC_GDP, AGRICL_TL, GR, LR, and RUTP have a long-run relationship with UNEMPR and are statistically significant. Also, the ECM of about 57%, which is statistically significant, provides an indication of a satisfactory speed of adjustment and translates that about 57 percent of the errors are corrected in each period. The study recommends among others that government policy on agricultural credit should place more emphasis on strengthening banks’ commitment.

Agricultural Financing and Unemployment Rate in Nigeria: A Cointegration Approach

Faculty of Social and Management Sciences

Acta Universitatis Sapientiae, Economics and Business

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In Nigeria, the level of agricultural productivity and farmers’ income have been affected by inadequate financing, which invariably discourages job creation...

Agricultural Financing and Unemployment Rate in Nigeria: A Cointegration Approach

Data publikacji: 14 paź 2020

Zakres stron: 53 - 67

DOI: https://doi.org/10.2478/auseb-2020-0004

Słowa kluczowe
agricultural financing, agricultural production, financial markets, growth rate, unemployment rate

© 2020 Raymond Rahaj Adegboyega, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Agricultural Financing and Unemployment Rate in Nigeria: A Cointegration Approach

Data publikacji: 14 paź 2020

Zakres stron: 53 - 67

DOI: https://doi.org/10.2478/auseb-2020-0004

Słowa kluczoweagricultural financing, agricultural production, financial markets, growth rate, unemployment rate

© 2020 Raymond Rahaj Adegboyega, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
agricultural financing, agricultural production, financial markets, growth rate, unemployment rate