Kwame Nkrumah University
Title: Artificial neural network assessment of the impact of trade liberalisation and its related policies on innovation in Ghana
Seidu Moro worked in the Department of Agricultural Economics, Kwame Nkrumah University of Science and Technology, Ghana. He is a member of Suame Magazine, Kumasi-Ashanti, Ghana.
Trade liberalization and its related policies affect yam producers both positively and negatively by bringing opportunities and pressures to domestic suppliers to innovate and improve their competitive position. Using a cluster analysis [Artificial Neural Network Assessment (ANN)] and data on 510 yam farm households in Kpandai district the paper estimate the effects of trade liberalization and its related policies on yam innovation in yam production and the categories of farm households that are directly affected by the impact of open trade. The results of the cluster analysis revealed that among innovation adopters, trade liberalization, and its related policies had positive and greatest impact on cluster 2 followed by cluster 4. Moreover, the impact leads to farm households being average adopters of yam production innovations. The study therefore recommended that policies should be focused on increasing farm household population in cluster 2 and 4 especially the former in order to increase the likelihood of innovation adoption by farmers. Moreover, in order to further increase the impact positively on the levels of innovation adoption the various categories of farm households should be important in policy drawing and implementation process.
Keywords: cluster analysis, innovations, households, Artificial Neural Network.