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Published by: Admin

Published: 2 years ago

View: 317

Pages: 30

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Abstract

This work was analysed adopting a time series panel data analysis from the period 1995 to 2014. A unit root test was carried out on all the variables in order to ascertain its stationarity and it was found that the variables were integrated of order l(1) and l(0). After the cointegration test, it was discovered that the variables were cointegrated, so it became necessary to conduct a VECM analysis and affirmed that agriculture (AGRIC) was positive to food security (FPI). Apart from AGRIC which had a causality running from AGRIC to FPI, it further affirmed from a causality test that there is bi-directional causality from the variables AGRIC, GHG, FPI GRANT. Bi-directional causality was found between AGRIC, GHG and GRANT. The resilient nature of the sector is evident in its ability to offer food security quickly than other means, from shocks resulting from disruptive events e.g GRANT etc. We also found that incentive (GRANT) contributed little to AGRIC, but had a positive contribution to FPI in these countries. This shows the importance of GRANT to FPI and lack of attention or investment to the sector. Therefore, increased efforts in creating more incentives which will contribute positively towards the reduction of gas emission in agriculture should be very important to all in Africa.

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