This study was designed to determine the nexus between the world price of cocoa
and its producer price in Nigeria. Time series of cocoa annual data worldwide and its
corresponding producer price in Nigeria covering 1980 to 2020 were collected for the
study and analyzed using growth function analysis and Autoregressive Distributed
Lag model. ARDL analysis confirmed that a long-run relationship exists between
cocoa producer price and cocoa world price. Also, the long-run estimates revealed
that the world price of cocoa had a positive significant influence on the producer
price; At the same time, in the short run, there was a positive insignificant influence
in the previous year. The growth function showed a growth rate of 18.76% and
13.99% for World Price and Producer Price with significant acceleration in both. The
previous year's shock converges to 67.37% of disequilibria, and the long-run
equilibrium in the current year is given at an ECM value of -0.673680. This reflects a
relatively fast responsiveness of cocoa world price to deviations from its long-run
path. The Granger causality test on WP and PP showed a bi-directional causation
between the two variables. Based on the findings of the study, it is suggested that the
government of Nigeria should introduce price-related reforms that will improve the
transmission of world prices to farmers, which would ultimately encourage
production and export.
Keywords: World price; Producer price; Cocoa; Nigeria
