Presentation on rice availability

1. EFFECT OF GROWTH ENHANCEMENT SUPPORT
SCHEME ON THE PRODUCTIVITY OF RICE FARMERS IN
ANAMBRA STATE, NIGERIA
A SEMINAR PRESENTATION
BY
EZE, MARCUS CHUKUBUIKEM
20161……
DEPARMENT OF AGRICULTURAL ECONOMICS
SCHOOL OF AGRICULTURE AND AGRICULTURAL
TECHNOLOGY
FEDERAL UNIVERSITY OF TECHNOLOGY OWERRI
SUPERVISOR: DR. MRS BEN-CHENDO

2. INTRODUCTION
Background of the Study
 Rice on high demand
 The Federal Government programmes over the years
 Rice productivity
 Growth Enhancement Support Scheme(GESS)

3. Problem Statement
 Importation of rice due to insufficient of local production
 Traditional cropping systems over years
 Insufficient rice production inputs
 Gap in the impact of the GESS on productivity of rice farmers in
the Anambra State
 To what extent had the scheme achieved its laudable objective in
provision of farmers with inputs

4. Objectives of the Study
 The main objective of this study is to ascertain effect of Growth
Enhancement Support Scheme on the productivity of rice farmers in
Anambra State, Nigeria. The specific objectives are to:
i. examine the socio-economic characteristics of GESS rice farmers in
the study area;
ii. ascertain the quantities of fertilizer/inputs distributed per
hectare/farmer in the study;
iii. determine the net return of the GESS rice farmers in the study area;
iv. isolate the productivity and factors that affect the rice productivity in
the study area and
v. identify the constraints to effective implementation of the GESS in
the study area

5. HYPOTHESIS OF THE STUDY
HO1: There is no significant relationship between the
quantities of inputs supplied and productivity of rice
farming in the study area

6. LITERATURE REVIEW
The literature were reviewed under the subheadings following:
2.1 Conceptual Literature
2.1.1 Concept of Rice Production in Nigeria
2.1.2 Concept of Productivity
2.1.3 Concept of Growth Enhancement Support Scheme
2.1.3.1 The Goals of GESS
2.1.3.2 Impact of Growth Enhancement Support Scheme
2.1.3.3 Challenges facing Growth Enhancement Support Scheme
2.2 Theoretical Literature
2.2.1Theory of Productivity
2.2.2 Theory of Participation
2.3 Empirical Literature
2.3.1 Factors Affecting the Productivity of Farmers in Nigeria
2.4 Analytical Literature
2.4.1 Net Income Model
2.4.2 Total Factor Productivity (TFP) Model
2.4.4 Production Function Model
2.4.4.1. Linear Function
4.4.2 Semi-log Function
2.4.4.3. Exponential Function
2.4.4.4 Cobb-Douglas Function

7. RESEARCH METHODOLOGY
Study Area: The study will be conducted in Anambra State, Nigeria
Method of Sample Selection
 Multistage sample technique will be used in selecting respondents for this study.
 The first stage will involve purposive selection of Anambra zone out of the four
(4) agricultural zones in the State because of the high rate of rice production
activities in the area.
 Second stage involves purposive selection of two (2) LGAs (Anambra East and
Ayamelum) due to the same reason.
 Third stage will also involve the purposive selection of three (3) most active rice
producing communities from Ayamelum LGA and two (2) communities from
Anambra East LGA, giving a total number of five (5) communities
 Stage four involves selection of eighteen (18) GESS rice farmers through the
help of extension agent from each community using random sampling technique.
 This gives a total sample of ninety (90) respondents (GESS rice farmers) which
will constitute the sample size for this study.

8. Method of Data Collection
 Both primary and secondary data will be sourced for this study
 Primary data will be used for the study. The primary data will be
collected using structured questionnaire/interview schedule which
contained relevant questions on each of the objectives of the study
 Secondarily, data such as, population figure, geographical location
of Anambra State, concept literatures, empirical literatures on the
productivity of rice farmers in Nigeria, socioeconomic
characteristics of rice farmers in Nigeria among others were gotten
from past project works, online publications, journals, textbooks
and other relevant materials related to this particular study.
Method of Data Analysis
 Objective I which is to examine the socio-economic
characteristics of GESS rice farmers in the study area will be
analyzed using descriptive statistical tools

9. DATAANALYSIS
Objective II which is to ascertain quantities of
fertilizer/inputs distributed per hectare/farmer in the
study will be realized using descriptive statistical tools
such as frequency count, percentage and mean
Objective III which is to determine the net return of the
GESS rice farmers in the study area will be analyzed
using Net farm income estimate;
NFI = TR - (TVC + TFC)
TC=TFC + TVC
NFI = Net income (N)
TR = Total Revenue (N/ton)
TVC = Total variable cost (N)
TFC = Total fixed cost (N)

10. DATAANALYSIS
 Objective IV which is to determine productivity and factors that
affect the rice productivity of rice farming in the study area will be
analyzed using total factor productivity model and Ordinary Least
Square Multiple Regression model (OLSMR). Total factor
productivity model is as stated by Eze,and Nwibo (2014):
TFP =Y/TVC
Y=Quantity of output (Kg)
TVC =Total Variable Cost (₦)
 Alternatively, productivity can also be expressed as the ratio of
the value of total farm output to the value of the total farm input
used in farm production (Amalaha, 2015).
Pi = Q/I
P= Productivity
Q = Total value of output of the farmer (₦)
I = Total value of inputs used (₦)

11. DATAANALYSIS
 The factors affecting productivity will be achieved using
Ordinary Least Square Multiple Regression (OLSMR) as stated
by Chidiebere-Mark (2017). This is stated implicitly as;
Y=f (X1, X2, X3…, X9,u)
Y=Total factor productivity (TFC) of rice farmers
X1= Labour (in man days)
X2= Age (years)
X3= Farm size (in hectares)
X4= Educational Level of the farmer (years of schooling)
X5= Depreciation cost of farming implements (₦)
X6= Farming experience (years)
X7= Household size (number)
X8= Fertilizer (kg)
X9= Quantity of rice seed cultivated (kg)
U=Error term.

12. DATAANALYSIS
 Objective V which is to identify the constraints to
effective implementation of the GESS in the study area
will be realized using descriptive statistical tools such
as frequency count, percentage and mean scores.

13. Test of Hypothesis
Null hypothesis which is, there is no significant relationship
between the quantities of inputs supplied and productivity of rice
farming in the study area will be tested using T- Ratio. The t-test
distribution is specified below:
X1 = mean of the quantities of inputs supplied
X2 = mean of the productivity of rice farming
S1 = standard deviation of the quantities of inputs supplied
S2 = standard deviation of the productivity of rice farming
n = sample size
X1 – X2
T = S1
2 + S2
2
n1 n2

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