Productivity determinants of potato in Nigeria: An autoregressive distributed lag model approach

Abstract

This study examined the productivity determinants of potato in Nigeria. The data for this study were extracted from secondary sources for a period of 1961-2016. The Autoregressive Distributed Lag (ARDL) model was adopted. The findings revealed that variables such as capital, land, fertilizer and prices were significant both in the long-run and short-run while rainfall and temperature were insignificant in the short-run. The study recommends among others that access to capital by the potato farmers should be increased by making more capital available for loans and grants at a reduced interest rate and that the land tenure system in operation should be made flexible to enable potato farmers access more land to enable mechanization and increased output.

This study examined the productivity determinants of potato in Nigeria. The data for this study were extracted from secondary sources for a period of 1961-2016. The Autoregressive Distributed Lag (ARDL) model was adopted. The findings revealed that variables such as capital, land, fertilizer and prices were significant both in the long-run and short-run while rainfall and temperature were insignificant in the short-run. The study recommends among others that access to capital by the potato farmers should be increased by making more capital available for loans and grants at a reduced interest rate and that the land tenure system in operation should be made flexible to enable potato farmers access more land to enable mechanization and increased output.