Date of Award

Summer 7-10-2023

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Agricultural and Environmental Sciences

Program Option

Agricultural and Resource Economics

Advisor

Nii O. Tackie, PhD

Co-advisor/Committee Member One

Youssouf Diabate, PhD

Committee Member Two

Franklin Quarcoo, PhD

Committee Member Three

Jannette R. Bartlett, PhD

Comittee Member Four

Tej Gautam, PhD

Abstract

AN ANALYSIS OF THE STATUS OF SMALL PRODUCERS IN SELECTED ALABAMA BLACK BELT AND SURROUNDING COUNTIES

by

Mamnenge Gbim-Gbande

The purpose of this study was to analyze the status of small producers in selected Alabama Black Belt and surrounding counties. The specific objectives were to (1) describe demographic information, (2) examine farm, economic, marketing, and other information, and (3) examine relationships between specific demographic information and farm, economic, marketing, and other information. The data were obtained from a convenience sample of 24 producers, and were analyzed using frequencies, percentages, and correlation analysis. The results showed that there were more part-time producers than full-time producers (54% versus 42%); more males than females (80% versus 17%); more Blacks than other races (83% versus 16%); more producers of ages 55 years and higher compared to below 55 years of age (54% versus 42%); more producers with a four-year college degree or higher compared to a two-year/technical degree or some college education (38% versus 33%), and more producers with an annual household income of less than $40,000 (54%) than $40,000 and above (38%). Also, 29% owned their farms, while 71% were in other arrangements; 38% had been farming for 10 years or less and 71% had been for more than 10 years; 75% owned more than 10 acres of land and 21% owned 10 acres or less land. However, 54% farmed 10 acres or less, while 46% farmed more than 10 acres. The average net income by year, for 2018, 2019, and 2020 were, respectively, -$527.05, -$1,077.05 and -$2,326.92. The correlation results showed that gender, race/ethnicity, and age each had a statistically significant relationship with one selected farm information indicator, such as years in farming. Further, annual household income had a statistically significant relationship viii with two selected farm information indicators, such as ownership status. Also, farming status and annual household income had a statistically significant relationship with, at least, one selected marketing information indicator, for instance, where livestock is normally sold. Yet, age and education had a statistically significant relationship with one other information indicator, where educational and technical assistance is received. Based on the findings, it is recommended that the producers should be encouraged and assisted, being that most of them are small and part-time producers. Additionally, special assistance should be given to them such as giving them some income support, helping them to farm more than 10 acres, assisting them to improve on their marketing strategies, and helping them to improve record keeping practices.

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