COMPARATIVE ECONOMIC ANALYSIS OF SEMI-AUTOMATED AND AUTOMATED METHODS OF GARRI PROCESSING IN OYO STATE, NIGERIA
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ABSTRACT
The research was undertaken with the broad objective of carrying out an analysis on the comparative economic analysis of semi-automated and automated methods of garri processing, in Oyo State. The specific objectives were to describe the socio-economic characteristics of the respondents in the study area, estimate the profit of the two categories of the methods of garri processing in the study area and identify the factors that influenced the profitability of the garri processors. A sample size of 60 respondents were sampled from four purposively selected local government areas namely, Akinyele, Ibadan southwest, Kajola and Oluyole local government, from 7 communities overall. Primary data on revenue, variable costs as well as fixed costs and socio-economic characteristics of respondents were collected through the use of well-structured questionnaire to cassava processors. The data collected were analysed using descriptive statistics (frequency, percentages), gross margin analysis, regression analysis and independent t-test. The result of the data analysis showed that the majority of the respondents are adults, between ages 50-59years, majority of the respondents (80%) are females, while 51.7% of the respondents had tertiary education, 71.7% of the respondents used semi-automated methods of processing garri, 60% have a family size between 1-5, and a mean gross margin of ₦3,529,515.99 for the automated processors while semi-automated garri processors had a gross margin analysis of ₦252,272.12. The result of the regression analysis revealed that only output level , age of respondents and average number of days of processing were significant to predict the gross margin profit from the double-log multiple linear regression used. The automated method was discovered to be more efficient and profitable than the semi-automated method. Based on the findings from the study, adequate productive and consumptive credit from relevant government agencies and private organization should be made available to genuine garri processors.
Table of Contents
1.6 Justification
of the Study
1.6.1 Theoretical
Justification
2.1.1 General
Concepts and Definitions
2.1.2 Cassava as a Food Security Crop and
its Economic Importance
2.4 Summary of
Reviewed Literatures
3.4 Sampling Procedures and Sample Size
4.1 Socio-Economic
Characteristics of Respondents
4.1.1 Distribution of
the Respondents by Age
4.1.2 Distribution of the Respondents by their Sex
4.1.3 Distribution of Respondents by their Communities
4.1.4 Distribution of Respondents by their Local Government Area
(LGA)
4.1.5 Distribution of Respondents by Marital Status
4.1.6 Distribution of
Respondents by Highest Level of Education
4.1.7 Distribution of Respondents according to their Form of
Business
4.1.8 Distribution of Respondents by the Processing Technique
4.1.9 Distribution of
Respondents by Family Size
4.2 Estimation of
the Gross Margin of the Two Methods of Garri Processing
4.2.1 Distribution of Gross Margin of the Two Categories of
Respondents
4.2.2 Comparative Mean Gross Margin of Semi-Automated and
Automated Garri Processors
4.3 Factors that influence
the Profitability of Garri Processors in the Study Area
4.4 Comparison of
the Profit of the Semi-Automated and Automated Methods of Garri Processing
4.5 Identification of the Constraints to Automated Garri
Processing
4.6 Coping
Strategies Adopted by Respondents to Reduce the Constraints
4.7 Suggestions of Respondents to Address Constraints
LIST
OF TABLES
Table 1:
Distribution of Respondents by Age……………………………………………………20
Table 2: Distribution of Respondents by their Sex………………………………………………21
Table 3: Distribution of Respondents by their
Communities……………………………………22
Table 4: Distribution of Respondents by their Local
Government Area (LGA)………………...23
Table 5: Distribution of Respondents by Marital Status…………………………………………23
Table 6: Distribution of Respondents by Highest
Level of Education…………………………..24
Table 7: Distribution of Respondents by their Form
of Business……………………………….24
Table 8: Distribution of Respondents by Processing
Technique………………………………...25
Table 9: Distribution of Respondents by Family Size…………………………………………...25
Table 10: Gross Margin (Profit) share of each
Category of the Respondents…………………...26
Table 11: Comparative Mean Gross Margin of the
Categories of Respondents………………...29
Table 12: Regression Results of Factors that
influenced the Gross Margin of Garri Processors......................................................................................................................................31
Table 13:
Independent T-Test of the Means of the Automated and Semi-Automated Processors………………………………………………………………………………………..32
Table 14a: CONSTRAINTS Inadequate Credit SCALE………………………………………...35
Table 14b: CONSTRAINTS Inadequate Credit RANK…………………………………………35
Table 15a: CONSTRAINTS High Cost of Machine SCALE…………………………………....35
Table 15b: CONSTRAINTS High Cost of Machine RANK…………………………………….35
Table 16a: CONSTRAINTS Inadequate Cassava Production
SCALE………………………….36
Table 16b: CONSTRAINTS Inadequate Cassava Production
RANK…………………………..36
Table17a: CONSTRAINTS High Transportation Cost SCALE………………………………...36
Table 18a: CONSTRAINTS Poor Extension SCALE…………………………………………...37
Table 18b: CONSTRAINTS Poor Extension RANK……………………………………………37
Table 19a: CONSTRAINTS Poor Road Network SCALE……………………………………...37
Table 19b: CONSTRAINTS Poor Road Network RANK………………………………………38
Table 20a: CONSTRAINTS Poor Technical Know-how SCALE………………………………38
Table 20b: CONSTRAINTS Poor Technical Know-how RANK……………………………….38
Table 21a: CONSTRAINTS Government Policy SCALE………………………………………39
Table 21b: CONSTRAINTS Government Policy RANK……………………………………….39
Table 22: Various Coping Strategies 1 Employed by
Respondents to Reduce the Problems faced in Processing……………………………………………………………………………………..40
Table 23: Various coping strategies 2 employed by
respondents to reduce the problems faced in processing………………………………………………………………………………………..41
Table 24: Various Coping Strategies 3 Employed by
Respondents to Reduce the Problems faced in Processing……………………………………………………………………………………..42
Table 25: Various Coping Strategies 4 Employed by
Respondents to Reduce the Problems faced in Processing……………………………………………………………………………………..42
Table 26: Suggestion of Respondents to Address
Constraints…………………………………..42
LIST
OF FIGURES
Figure
1:
Conceptual Model of the Comparative Economic Analysis of Conventional and
Automated Processing of Cassava into Garri……………………………………………………..8
Figure 2: Pie
Chart Representation of the Age Distribution of Respondents…………………...20
Figure 3: Bar Chart Showing the Distribution of Respondent by their Sex…………………….21
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Michael, O (2019). COMPARATIVE ECONOMIC ANALYSIS OF SEMI-AUTOMATED AND AUTOMATED METHODS OF GARRI PROCESSING IN OYO STATE, NIGERIA. Afribary.com: Retrieved August 19, 2019, from https://afribary.com/works/comparative-economic-analysis-of-semi-automated-and-automated-methods-of-garri-processing-in-oyo-state-nigeria
Olufemi, Michael. "COMPARATIVE ECONOMIC ANALYSIS OF SEMI-AUTOMATED AND AUTOMATED METHODS OF GARRI PROCESSING IN OYO STATE, NIGERIA" Afribary.com. Afribary.com, 30 Jan. 2019, https://afribary.com/works/comparative-economic-analysis-of-semi-automated-and-automated-methods-of-garri-processing-in-oyo-state-nigeria . Accessed 19 Aug. 2019.
Olufemi, Michael. "COMPARATIVE ECONOMIC ANALYSIS OF SEMI-AUTOMATED AND AUTOMATED METHODS OF GARRI PROCESSING IN OYO STATE, NIGERIA". Afribary.com, Afribary.com, 30 Jan. 2019. Web. 19 Aug. 2019. < https://afribary.com/works/comparative-economic-analysis-of-semi-automated-and-automated-methods-of-garri-processing-in-oyo-state-nigeria >.
Olufemi, Michael. "COMPARATIVE ECONOMIC ANALYSIS OF SEMI-AUTOMATED AND AUTOMATED METHODS OF GARRI PROCESSING IN OYO STATE, NIGERIA" Afribary.com (2019). Accessed August 19, 2019. https://afribary.com/works/comparative-economic-analysis-of-semi-automated-and-automated-methods-of-garri-processing-in-oyo-state-nigeria