Abstract

This paper investigated the effect of agricultural productivity on economic growth. The current study used a survey approach to collect data from respondents. The population of the study consists of the entire farmers in Kebbi State. Population parameters in most statistical research studies are usually unknown and have to be estimated from the sample (Heizer, Render, 2004). Therefore, a sample size of 384 was generated using infinite population table. Where 384 copies of questionnaires were administered to only farmers that read and write. Out of 384 copies of questionnaires only 376 copies were validly returned by the respondents. The study employed convenience sampling technique. However, purposive sampling technique was used in selecting farmers for the study. Both descriptive and inferential statistics were used to analyse data for the study. The demographic data in this study was analysed using descriptive statistical techniques such as tables and the frequency graphs. On the other hand, multiple regression model was employed to establish the relationship between agricultural productivity components and economic growth. The results from the analysis discovered that agricultural productivity influences economic growth positively and significantly. Therefore, the study recommended the for the Government and stakeholders should focus more on agricultural productivity such as provision of modern farm equipment, provision of credit and marketing facilities, provision of good roads and supply of better manure seeds as they predict economic growth of the state.

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