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Effect of Avian Influenza on Household Consumption
of Poultry Products: Evidence from First Outbreak
in Ogun State, Nigeria
OLUTOSIN A. OTEKUNRIN,1
* IDRIS A. AYINDE,1
OLUWASEUN A. OTEKUNRIN2
and JOHN S. DE CAMPOS3
1
Department of Agricultural Economics and Farm Management,
Federal University of Agriculture, Abeokuta (FUNAAB), Nigeria.
2
Department of Statistics, University of Ibadan, Nigeria.
3
Department of Animal Production, University of Ilorin, Nigeria.
Abstract
The study examined the effect of Avian Influenza (AI) on the household consumption
of poultry products during the first outbreak of the disease in Ogun State, Nigeria.
Furthermore, determinants influencing poultry products consumption during the
outbreak were identified. A multi-stage sampling procedure was used to select
120 households and a well structured questionnaire was used for data collection.
The data collected were analyzed using descriptive statistics, independent t-test
and regression techniques.Egg consumption reduced significantly dropping from
an average of 40 eggs/month to 29 eggs/month (p=0.038) during the AI outbreak.
The average chicken expenditure/month dropped significantly from N1116.44 to
N991.96 (p=0.019).Awareness of AI, educational level and amount spent on food
consumption were the significant factors that contributed to the consumption of
poultry products during the AI outbreak. The study therefore recommended that
members of the public should be properly sensitized on safety precautions that
should be cultivated before the consumption of poultry products especially during
outbreaks of diseases.
Current Agriculture Research Journal
Journal Website: www.agriculturejournal.org
ISSN: 2347-4688, Vol. 6, No.(3) 2018, pg. 328-336
CONTACT Olutosin A.Otekunrin otekunrinolutosin@yahoo.com Department of Agricultural Economics and Farm Management,
Federal University of Agriculture, Abeokuta (FUNAAB), Nigeria.
© 2018 The Author(s). Published by Enviro Research Publishers.
This is an Open Access article licensed under a Creative Commons license: Attribution 4.0 International (CC-BY).
Doi: http://dx.doi.org/10.12944/CARJ.6.3.11
Article History
Received: 21 November 2018
Accepted: 25 December 2018
Keywords:
Avian Influenza Awareness;
Highly Pathogenic
Avian Influenza;
Household Consumption
Pattern;
Nigeria;
Poultry Products
Introduction
Agriculture is an important sector of the Nigerian
economy employing about three quarters of the total
nation’s workforce.1
The Nigerian poultry industry
is one of the highly commercialized subdivisions
of the Nigerian agricultural sector.2,3
Poultry
production is very popular in Nigeria because of
its low production costs, wide acceptability among
people of different religious extractions, good
source of protein, and affordability among others3.
329OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018)
A major challenge confronting poultry production
at both the subsistence and commercialized
levels in Nigeria is the high incidence of infectious
diseases. Others are inadequate funding and poor
management practices.4,5
A well-funded poultry
business will have enough resources to adopt
better management practices which will ultimately
lead to very low incidence of infectious diseases on
the farm. Most of these diseases have viral origin
and are very deadly.6,7
Avian Influenza (AI) also
known as “Bird Flu” is one of the most important
viral diseases that have continued to infect poultry
production throughout Africa. There are three main
types of influenza viruses namely; A, B, and C. AI
is usually caused by Type A influenza viruses of
the Orthomyxoviridae family. Wild birds in aquatic
environments are their natural reservoir hosts, but
domesticated poultry and other birds can also be
infected.8-10
AI virus subtypes are differentiated by
the haemagglutinin and neuraminidase antigens
(glycoproteins) that protect the virus surface.Sixteen
forms of haemagglutinin (H1-H16) and nine classes
of neuraminidase (N1-N9) antigens have been
identified in wild bird populations and each viral
subtype is characterized by the particular antigen
combination it possesses e.g. H5N1 or H8N6.11,12
AI viruses that cause only mild disease in poultry
are referred to as Low Pathogenic Avian Influenza
(LPAI) viruses. Moreover, Highly Pathogenic Avian
Influenza (HPAI) viruses can develop from certain
LPAI viruses, usually while they are circulating
in poultry flock.13
HPAI viruses can kill up to 90-
100% of the flock. They spread rapidly, devastating
the poultry industry.14-16
As part of measures to
contain outbreaks of HPAI virus, the FAO/ OIE gave
specified internationally acceptable standards which
include movement restriction, import control, rapid
laboratory diagnoses, vaccination, compensation,
sustained active and passive surveillance,
compartmentalization among others.38-41
In 2006, cases of AI infections in poultry and wild birds
were widely reported in many countries including
Iraq, Azerbaijan, Bulgaria, Greece, Italy, Slovenia,
Iran, Austria, Germany, India, France, Bosnia and
Herzegovina, Slovakia and Switzerland.17,18
African
countries also experienced multi¬ple outbreaks,
infection, and re-infection affecting mil¬lions of birds
with the resultant huge effect on the economy of
these nations.21-24
The HPAI, subtype H5N1 was officially reported in
Nigeria in February, 2006.19
There was a confirmed
Table 1: Summary of Avian Influenza outbreak in Nigeria (as at May, 2006)
S/N	 State	 Number of	 Number of Local	 Total number
		 Confirmed Cases	 Government Areas (LGA)	 of dead birds
			
1	Anambra	 1	 1	 500
2	Bauchi	 13	 4	 65,085
3	Benue	 1	 1	 594
4	FCT	 3	 3	 3
5	Jigawa	 2	 1	 1
6	Kaduna	 15	 5	 76,149
7	Kano	 8	 3	 77,465
8	Katsina	 9	 4	 325
9	Lagos	 2	 2	 14,400
10	Ogun	 1	 1	 94,000
11	Nassarawa	 2	 2	 1,760
12	Plateau	 36	 2	 12,053
13	Rivers	 1	 1	 700
14	Yobe	 1	 1	 3,368
	Total	 95	 31	 335,612
Source: 25
330OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018)
case in human in Lagos in 2007.20
Table 1 gives
a breakdown of reported cases of AI outbreak in
Nigeria as at May, 2006 while Table 2 shows five
major locations of the outbreak in Ogun State.
The impact of the AI was huge going by the mortality
rate in Ogun state alone.27,28
reported that the state
government compensated affected farmers that
reported such cases to encourage other farmers to
report suspicious cases to appropriate authorities
so as to safeguard the health of her citizens and
to reduce the impact of the economic loss and
encourage them to remain in the poultry business.
Also,29
reported that about 80% of the consumers
of poultry products in Kwara State changed their
demand pattern by shifting to other protein rich
animal products.30
Conducted a 10-year (2003-
2012) retrospective study of some viral poultry
diseases, including AI, in Nigeria and concluded
that AI affected mostly adult chickens (20 weeks
and above).31
Retrospectively examined the impact
of the 2006 AI outbreak on stakeholders in the
poultry industry in Jos, Plateau state, Nigeria and
concluded that the outbreak affected stakeholders
including toll millers and commercial feed distributors
among others. Therefore, this study seeks to explore
albeit retrospectively, the effect of Avian Influenza
on household consumption of poultry products
in Abeokuta metropolis, determine the level of
awareness of the households on the prevalence
of the outbreak in the study area, determine the
level of consumption of poultry products among the
households before and during the outbreak and to
also determine the factors affecting the consumption
of poultry products in the area during the outbreak.
Theoretical Framework
The economic theory underpinning this paper is the
theory of consumer behaviour, which is based on
the concept of consumer preference and assumed
existence of consumer utility function. The theory
has, as its point of departure, the assumption that
when a consumer is faced with alternative “baskets”
of commodities, each of which has some amount
of utility content (satisfaction), the consumer will
prefer a basket with the highest utility content.32
The
theory of consumer behaviour can be presented
from two main approaches. The first is the ordinal
approach which asserts that consumer is assumed
to be rational enough to, at least, be able to rank
commodity bundles in an order of preference.
This means that utility can be ranked qualitatively.
The second approach is cardinal approach which
postulated that utility is measurable on a cardinal
scale. This means that consumers are assumed
to assign numerical utility values to alternative
bundles of commodities and that these numerical
values represent measurements on interval scale or
equal-ratio scale.32
The cardinal approach believes
that apart from the fact that consumers are rational
and aim at maximizing their utility subject to his
constraints, the amount of money payable on a
commodity is directly proportional to additional
satisfaction from the consumption of such commodity.
The income level of the consumers is also important
in determining their consumption level. According
to Engel, the percentage of income allocated for
food purchases reduces as income increases. As
household’s income rises, the percentage of income
expended on food reduces but the proportion spent
on other goods (especially, luxury goods) rises.
Table 2: Breakdown of Avian Influenza Outbreak in Ogun State (2006)
S/N	 Name of farm		 Location	 Number of dead birds
1	 Sobowale Animasaun Farms	 Akute (Ifo LGA)	 85,000
2	 Omoti farms (Backyard)	 Akute (Ifo LGA)	 50
3	 Mrs Sobowale Odutola Farms (Backyard)	 Ijebu-Ode (Ijebu-Ode LGA)	 149
4	 Mr Akinwunta Farms (Backyard)	 Agbara (Ado-Odo/Ota LGA)	 282
5	 Grace Farms (Mr Adimula)	 Ode Remo/Remo North LGA	 2,884
Source: 26
331OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018)
Materials and Methods
The study was carried out in Abeokuta, Ogun State.
Abeokuta is located within latitude 30
301
to 40
301
N
and longitudes 60
301
E to 70
301
E.33
It is bounded on
the north by Oyo and Osun State, in the south by
Lagos State, in the east by Ondo State and in the
west by Cotonou, Benin Republic. Ogun State has
a population estimated at 3,728,098.34
The principal
inhabitants of Abeokuta areYorubas while agriculture
and trading are their major occupations.
Two-stage sampling procedure was employed in
the selection of the respondents. The first stage
was the classification of Abeokuta metropolis
into high, medium and low brow areas while the
economic status of the residents of these areas
were respectively classified as high, medium and low
income groups. The second stage was the random
selection of 40 households from each stratum giving
a total of 120 households in the study area. An
adult female/male member of each household was
interviewed using a well structured questionnaire.
Data were collected on socioeconomic variables,
awareness level of AI, food expenditure per month,
total household income (per month) before and
during the outbreak, poultry products expenditure
before and during the outbreak among others. 115
questionnaires were found useful for the purpose
of data analysis. Relevant descriptive statistics,
independent samples t-test and multiple regression
analysis were employed in the statistical analysis.
The response variable Y was the amount spent
on poultry products in Naira/month while the
explanatory variables were:
X1
=	 Educational level of household head (years
spent in school)
X2
=	 Household size (number)
X3
=	 Total Income of household (Naira/month)
X4
=	 Awareness of AI (Aware =1, otherwise = 0)
X5
=	 Amount spent on food consumption (Naira/
month)
X6
=	 Age (years)
Three functional forms were considered for the
regression analysis. They were:
1. Linear Model
Y= b0
+ b1
X1
+ b2
X2
+ b3
X3
+ b4
X4
+ b5
X5
+ b6
X6
+ ε	
	 	 	 	 	 .....(1)
2. Semi-log Model
lnY= b0
+ b1
X1
+ b2
X2
+ b3
X3
+ b4
X4
+ b5
X5
+ b6
X6
+ ε	
					.....(2)
3. Double-Log Model
lnY= lnb0
+ b1
lnX1
+ b2
lnX2
+ b3
lnX3
+ b4
lnX4
+ b5
lnX5
+ b6
lnX6
+ ε				.....(3)
Results and Discussion
The findings revealed variations in the socioeconomic
characteristics of the households. The mean
household size was 4 implying a fairly smaller
household size in the study area.The mean amount
spent on food consumption monthly stood at
N12,560.44 which constituted 31.4% of the average
income of the households. The mean amount
spent on poultry products was N4, 219.70 and this
showed that households spent about 10.54% of their
monthly income on the purchase of poultry products.
Figure 1 showed that fewer households (11 and 12
households for egg and chicken respectively) agreed
that AI awareness had a significant influence on their
consumption pattern compared to other households
that opined that the awareness had moderate (54
and 55 households for egg and chicken respectively)
and low (50 and 48 households for egg and chicken
respectively) influence on their consumption pattern.
The mean household consumption of eggs was 40
before the outbreak but reduced to 29 eggs during
the outbreak. In figure 2, 51 households consumed
30-44 eggs per month before the outbreak while it
reduced to 40 households during the outbreak.This
finding agreed with the studies of.22,28,29
Conversely,
the number of households that consumed 15-29
eggs per month rose sharply from 17 before the
outbreak to 34 during the outbreak.This might not be
unconnected with the fact that households perceived
Fig.1: Influence of AI awareness on poultry
products consumption
332OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018)
eggs as products from poultry birds with minimal
AI impact. The average expenditure of households’
consumption of poultry products (chicken) before
the outbreak stood at N1116.44 while it dropped
to N991.96 during the outbreak, indicating 11.15%
drop in the study area. From figure 3, majority of the
households (86) spent between N500 to N1500 on
chicken consumption per month before the outbreak
while 63 households spent the same amount during
the outbreak. This finding agreed with the studies
of.22,28,29,35
The regression results on factors influencing the
consumption of poultry products among households
in the study area during the outbreak were displayed
in Table 4. Double-log model (equation (3)) was
selected considering values of R2
, F-value, number
of significant variables and a priori expectations.
Educational level, awareness of AI and amount
spent on food consumption were the significant
variables influencing household consumption of
Table 3: Descriptive statistics of Respondents
Characteristics (N =115)	 Frequency	 Percent
Age (in years)
20-30	 38	33.0
31-40	 50	43.5
41-50	 21	18.5
51-60	 4	3.5
>60	 2	1.7
Total	 115	100
Gender		
Male	 54	47.0
Female	 61	53.0
Total	 115	100
Educational Level
Primary School	 3	 2.6
Secondary School	 15	 13
National Diploma	 4	 3.5
NCE	 13	13.3
First Degree/HND	 71	 61.3
MSc/PhD	 9	7.9
Total	 115	100
Household Size		
1-3	 46	40.0
4-6	 59	51.3
7-10	 9	7.8
>10	 1	0.9
Total	 115	100
Mean	4	
Occupation		
Teaching	 34	29.6
Trading	 16	13.9
Student	 8	7.0
Farming	 10	8.7
Civil Servant	 42	 36.5
Artisan	 5	4.3
Total	 115	100
Total monthly Income (N)		
<20,000	 45	39.1
20,001– 40,000	 29	 25.2
40,001 – 60,000	 15	 13.0
60,001 – 80,000	 11	 9.6
80,001 – 100,000	 6	 5.2
>100,000	 9	7.8
Total	 115	100
Mean	 N42,020	
Amount spent on food consumption (N)
< 5,000	 19	 16.5
5,000 – 15,000	 63	 54.8
15,001 – 25,000	 23	 20
25,001 - 35,000	 8	 7.0
>35,000	 2	1.7
Total	 115	100
Mean	 N12,560.44	
Marital Status		
Single	 41	35.7
Married	 74	64.3
Total	 115	100
Amount spent on poultry products (N)	
<2,000	 24	20.9
2,001 – 6,000	 72	 62.6
6,001 – 10,000	 17	 14.8
>10,000	 2	1.7
Total	 115	100
Mean	 N4, 219.70	
Awareness of AI		
Yes	 115	100.0
No	 0	0
Total	 115	100
Fig. 2: Households’ egg consumption before
and during the outbreak
Fig. 3: Households’ chicken consumption
expenditure before and during the outbreak
333OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018)
poultry products. With R2
= 0.858, the independent
variables accounted for 85.8% of the total variation in
the dependent variable. Awareness of AI negatively
affected the amount households spent on poultry
products (p<0.1) implying that increase in the level
of awareness led to a decrease in the amount spent
on poultry products. This agreed with the findings
of 28
who reported that stated account of the health
risks associated with HPAI resulted in a significant
reduction in the demand for poultry products. It
was also in line with the works of.22,29,35,36,37
The
educational level of respondents had a significantly
positive influence on the amount spent on the
consumption of poultry products(p<0.1).This implied
that households with higher education background
spent more on poultry products because they
understood the health benefits of these products in
their diets.These findings were in line with the works
of.28,35
Amount spent on food consumption equally
had a significantly positive (p <0.01) influence on the
amount spent on consumption of poultry products.
The independent sample t-test result (Table 5)
showed that there were significant differences in the
amount spent on consumption of poultry products
(eggs and chickens) before and during the outbreak
of AI in the study area. This was in line with the
studies of.28,29,35,36,37
Conclusion and Recommendations
From the results, Avian Influenza disease outbreak
posed a serious threat to poultry business in
the study area. Awareness of AI, education of
respondents and amount spent on food consumption
significantly influenced household consumption
Table 4: Determinants of poultry products consumption
Variables	 Linear	 Double-log	 Semi-log
Constant	 0.704 (0.010)	 3.536*** (49.773)	 -26350.1***(-5.623)
Education level	 0.130**(2.453)	 0.078*(1.966)	 -0.002(-0.027)
Household size	 0.048(0.642)	-0.001(-0.023)	0.087(1.354)
Total income	 -0.005(-0.054)	 0.062(0.984)	 0.066(0.731)
Awareness level	 0.124**(-2.447)	 0.075* (-1.976)	 -0.020 (-0.166)
Amount spent on food consumed	 0.760***(8.751)	 0.809***(12.406)	 -0.097(-1.613)
Age	 0.003(0.047)	 0.049(0.892)	0.726***(5.775)
R2
	 0.747	0.858	0.655
Adjusted R2
	 0.733	0.850	0.635
F-Stat	 53.163***	108.477***	33.817***
Note: The t-values are in parenthesis. *, ** and *** are significant at 10%, 5% and 1% levels respectively.
Table 5: Independent t-test results of significant difference between poultry products
consumption expenditure before and during the outbreak
Hypothesis	 p-value	 Decision
H0
: There is no significant difference between egg consumption
expenditure before and during the outbreak	 0.038	 Reject H0
H1
: There is significant difference between egg consumption
expenditure before and during the outbreak.
H0
: There is no significant difference between chicken
consumption expenditure before and during the outbreak.	 0.019	 Reject H0
H1
: There is significant difference between chicken consumption
expenditure before and during the outbreak.
334OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018)
of poultry products. There were vivid differences
between the consumption patterns of poultry
products (eggs and chicken) before and during the
outbreak of AI in the study area.
The findings revealed that households still consumed
poultry products during the outbreak. Therefore,
government should ensure that poultry products
are safe for human consumption through strict
monitoring of birds’ environment by veterinary
personnel. Also, members of the public should
be properly sensitized on safety practices and
precautions that should be cultivated before the
consumption of poultry products.
Acknowledgements
The authors appreciate the two reviewers for their
useful comments which contributed to the quality
of the paper.
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Effect of Avian Influenza on Household Consumption of Poultry Products: Evidence from First Outbreak in Ogun State, Nigeria

  • 1. Effect of Avian Influenza on Household Consumption of Poultry Products: Evidence from First Outbreak in Ogun State, Nigeria OLUTOSIN A. OTEKUNRIN,1 * IDRIS A. AYINDE,1 OLUWASEUN A. OTEKUNRIN2 and JOHN S. DE CAMPOS3 1 Department of Agricultural Economics and Farm Management, Federal University of Agriculture, Abeokuta (FUNAAB), Nigeria. 2 Department of Statistics, University of Ibadan, Nigeria. 3 Department of Animal Production, University of Ilorin, Nigeria. Abstract The study examined the effect of Avian Influenza (AI) on the household consumption of poultry products during the first outbreak of the disease in Ogun State, Nigeria. Furthermore, determinants influencing poultry products consumption during the outbreak were identified. A multi-stage sampling procedure was used to select 120 households and a well structured questionnaire was used for data collection. The data collected were analyzed using descriptive statistics, independent t-test and regression techniques.Egg consumption reduced significantly dropping from an average of 40 eggs/month to 29 eggs/month (p=0.038) during the AI outbreak. The average chicken expenditure/month dropped significantly from N1116.44 to N991.96 (p=0.019).Awareness of AI, educational level and amount spent on food consumption were the significant factors that contributed to the consumption of poultry products during the AI outbreak. The study therefore recommended that members of the public should be properly sensitized on safety precautions that should be cultivated before the consumption of poultry products especially during outbreaks of diseases. Current Agriculture Research Journal Journal Website: www.agriculturejournal.org ISSN: 2347-4688, Vol. 6, No.(3) 2018, pg. 328-336 CONTACT Olutosin A.Otekunrin otekunrinolutosin@yahoo.com Department of Agricultural Economics and Farm Management, Federal University of Agriculture, Abeokuta (FUNAAB), Nigeria. © 2018 The Author(s). Published by Enviro Research Publishers. This is an Open Access article licensed under a Creative Commons license: Attribution 4.0 International (CC-BY). Doi: http://dx.doi.org/10.12944/CARJ.6.3.11 Article History Received: 21 November 2018 Accepted: 25 December 2018 Keywords: Avian Influenza Awareness; Highly Pathogenic Avian Influenza; Household Consumption Pattern; Nigeria; Poultry Products Introduction Agriculture is an important sector of the Nigerian economy employing about three quarters of the total nation’s workforce.1 The Nigerian poultry industry is one of the highly commercialized subdivisions of the Nigerian agricultural sector.2,3 Poultry production is very popular in Nigeria because of its low production costs, wide acceptability among people of different religious extractions, good source of protein, and affordability among others3.
  • 2. 329OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018) A major challenge confronting poultry production at both the subsistence and commercialized levels in Nigeria is the high incidence of infectious diseases. Others are inadequate funding and poor management practices.4,5 A well-funded poultry business will have enough resources to adopt better management practices which will ultimately lead to very low incidence of infectious diseases on the farm. Most of these diseases have viral origin and are very deadly.6,7 Avian Influenza (AI) also known as “Bird Flu” is one of the most important viral diseases that have continued to infect poultry production throughout Africa. There are three main types of influenza viruses namely; A, B, and C. AI is usually caused by Type A influenza viruses of the Orthomyxoviridae family. Wild birds in aquatic environments are their natural reservoir hosts, but domesticated poultry and other birds can also be infected.8-10 AI virus subtypes are differentiated by the haemagglutinin and neuraminidase antigens (glycoproteins) that protect the virus surface.Sixteen forms of haemagglutinin (H1-H16) and nine classes of neuraminidase (N1-N9) antigens have been identified in wild bird populations and each viral subtype is characterized by the particular antigen combination it possesses e.g. H5N1 or H8N6.11,12 AI viruses that cause only mild disease in poultry are referred to as Low Pathogenic Avian Influenza (LPAI) viruses. Moreover, Highly Pathogenic Avian Influenza (HPAI) viruses can develop from certain LPAI viruses, usually while they are circulating in poultry flock.13 HPAI viruses can kill up to 90- 100% of the flock. They spread rapidly, devastating the poultry industry.14-16 As part of measures to contain outbreaks of HPAI virus, the FAO/ OIE gave specified internationally acceptable standards which include movement restriction, import control, rapid laboratory diagnoses, vaccination, compensation, sustained active and passive surveillance, compartmentalization among others.38-41 In 2006, cases of AI infections in poultry and wild birds were widely reported in many countries including Iraq, Azerbaijan, Bulgaria, Greece, Italy, Slovenia, Iran, Austria, Germany, India, France, Bosnia and Herzegovina, Slovakia and Switzerland.17,18 African countries also experienced multi¬ple outbreaks, infection, and re-infection affecting mil¬lions of birds with the resultant huge effect on the economy of these nations.21-24 The HPAI, subtype H5N1 was officially reported in Nigeria in February, 2006.19 There was a confirmed Table 1: Summary of Avian Influenza outbreak in Nigeria (as at May, 2006) S/N State Number of Number of Local Total number Confirmed Cases Government Areas (LGA) of dead birds 1 Anambra 1 1 500 2 Bauchi 13 4 65,085 3 Benue 1 1 594 4 FCT 3 3 3 5 Jigawa 2 1 1 6 Kaduna 15 5 76,149 7 Kano 8 3 77,465 8 Katsina 9 4 325 9 Lagos 2 2 14,400 10 Ogun 1 1 94,000 11 Nassarawa 2 2 1,760 12 Plateau 36 2 12,053 13 Rivers 1 1 700 14 Yobe 1 1 3,368 Total 95 31 335,612 Source: 25
  • 3. 330OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018) case in human in Lagos in 2007.20 Table 1 gives a breakdown of reported cases of AI outbreak in Nigeria as at May, 2006 while Table 2 shows five major locations of the outbreak in Ogun State. The impact of the AI was huge going by the mortality rate in Ogun state alone.27,28 reported that the state government compensated affected farmers that reported such cases to encourage other farmers to report suspicious cases to appropriate authorities so as to safeguard the health of her citizens and to reduce the impact of the economic loss and encourage them to remain in the poultry business. Also,29 reported that about 80% of the consumers of poultry products in Kwara State changed their demand pattern by shifting to other protein rich animal products.30 Conducted a 10-year (2003- 2012) retrospective study of some viral poultry diseases, including AI, in Nigeria and concluded that AI affected mostly adult chickens (20 weeks and above).31 Retrospectively examined the impact of the 2006 AI outbreak on stakeholders in the poultry industry in Jos, Plateau state, Nigeria and concluded that the outbreak affected stakeholders including toll millers and commercial feed distributors among others. Therefore, this study seeks to explore albeit retrospectively, the effect of Avian Influenza on household consumption of poultry products in Abeokuta metropolis, determine the level of awareness of the households on the prevalence of the outbreak in the study area, determine the level of consumption of poultry products among the households before and during the outbreak and to also determine the factors affecting the consumption of poultry products in the area during the outbreak. Theoretical Framework The economic theory underpinning this paper is the theory of consumer behaviour, which is based on the concept of consumer preference and assumed existence of consumer utility function. The theory has, as its point of departure, the assumption that when a consumer is faced with alternative “baskets” of commodities, each of which has some amount of utility content (satisfaction), the consumer will prefer a basket with the highest utility content.32 The theory of consumer behaviour can be presented from two main approaches. The first is the ordinal approach which asserts that consumer is assumed to be rational enough to, at least, be able to rank commodity bundles in an order of preference. This means that utility can be ranked qualitatively. The second approach is cardinal approach which postulated that utility is measurable on a cardinal scale. This means that consumers are assumed to assign numerical utility values to alternative bundles of commodities and that these numerical values represent measurements on interval scale or equal-ratio scale.32 The cardinal approach believes that apart from the fact that consumers are rational and aim at maximizing their utility subject to his constraints, the amount of money payable on a commodity is directly proportional to additional satisfaction from the consumption of such commodity. The income level of the consumers is also important in determining their consumption level. According to Engel, the percentage of income allocated for food purchases reduces as income increases. As household’s income rises, the percentage of income expended on food reduces but the proportion spent on other goods (especially, luxury goods) rises. Table 2: Breakdown of Avian Influenza Outbreak in Ogun State (2006) S/N Name of farm Location Number of dead birds 1 Sobowale Animasaun Farms Akute (Ifo LGA) 85,000 2 Omoti farms (Backyard) Akute (Ifo LGA) 50 3 Mrs Sobowale Odutola Farms (Backyard) Ijebu-Ode (Ijebu-Ode LGA) 149 4 Mr Akinwunta Farms (Backyard) Agbara (Ado-Odo/Ota LGA) 282 5 Grace Farms (Mr Adimula) Ode Remo/Remo North LGA 2,884 Source: 26
  • 4. 331OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018) Materials and Methods The study was carried out in Abeokuta, Ogun State. Abeokuta is located within latitude 30 301 to 40 301 N and longitudes 60 301 E to 70 301 E.33 It is bounded on the north by Oyo and Osun State, in the south by Lagos State, in the east by Ondo State and in the west by Cotonou, Benin Republic. Ogun State has a population estimated at 3,728,098.34 The principal inhabitants of Abeokuta areYorubas while agriculture and trading are their major occupations. Two-stage sampling procedure was employed in the selection of the respondents. The first stage was the classification of Abeokuta metropolis into high, medium and low brow areas while the economic status of the residents of these areas were respectively classified as high, medium and low income groups. The second stage was the random selection of 40 households from each stratum giving a total of 120 households in the study area. An adult female/male member of each household was interviewed using a well structured questionnaire. Data were collected on socioeconomic variables, awareness level of AI, food expenditure per month, total household income (per month) before and during the outbreak, poultry products expenditure before and during the outbreak among others. 115 questionnaires were found useful for the purpose of data analysis. Relevant descriptive statistics, independent samples t-test and multiple regression analysis were employed in the statistical analysis. The response variable Y was the amount spent on poultry products in Naira/month while the explanatory variables were: X1 = Educational level of household head (years spent in school) X2 = Household size (number) X3 = Total Income of household (Naira/month) X4 = Awareness of AI (Aware =1, otherwise = 0) X5 = Amount spent on food consumption (Naira/ month) X6 = Age (years) Three functional forms were considered for the regression analysis. They were: 1. Linear Model Y= b0 + b1 X1 + b2 X2 + b3 X3 + b4 X4 + b5 X5 + b6 X6 + ε .....(1) 2. Semi-log Model lnY= b0 + b1 X1 + b2 X2 + b3 X3 + b4 X4 + b5 X5 + b6 X6 + ε .....(2) 3. Double-Log Model lnY= lnb0 + b1 lnX1 + b2 lnX2 + b3 lnX3 + b4 lnX4 + b5 lnX5 + b6 lnX6 + ε .....(3) Results and Discussion The findings revealed variations in the socioeconomic characteristics of the households. The mean household size was 4 implying a fairly smaller household size in the study area.The mean amount spent on food consumption monthly stood at N12,560.44 which constituted 31.4% of the average income of the households. The mean amount spent on poultry products was N4, 219.70 and this showed that households spent about 10.54% of their monthly income on the purchase of poultry products. Figure 1 showed that fewer households (11 and 12 households for egg and chicken respectively) agreed that AI awareness had a significant influence on their consumption pattern compared to other households that opined that the awareness had moderate (54 and 55 households for egg and chicken respectively) and low (50 and 48 households for egg and chicken respectively) influence on their consumption pattern. The mean household consumption of eggs was 40 before the outbreak but reduced to 29 eggs during the outbreak. In figure 2, 51 households consumed 30-44 eggs per month before the outbreak while it reduced to 40 households during the outbreak.This finding agreed with the studies of.22,28,29 Conversely, the number of households that consumed 15-29 eggs per month rose sharply from 17 before the outbreak to 34 during the outbreak.This might not be unconnected with the fact that households perceived Fig.1: Influence of AI awareness on poultry products consumption
  • 5. 332OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018) eggs as products from poultry birds with minimal AI impact. The average expenditure of households’ consumption of poultry products (chicken) before the outbreak stood at N1116.44 while it dropped to N991.96 during the outbreak, indicating 11.15% drop in the study area. From figure 3, majority of the households (86) spent between N500 to N1500 on chicken consumption per month before the outbreak while 63 households spent the same amount during the outbreak. This finding agreed with the studies of.22,28,29,35 The regression results on factors influencing the consumption of poultry products among households in the study area during the outbreak were displayed in Table 4. Double-log model (equation (3)) was selected considering values of R2 , F-value, number of significant variables and a priori expectations. Educational level, awareness of AI and amount spent on food consumption were the significant variables influencing household consumption of Table 3: Descriptive statistics of Respondents Characteristics (N =115) Frequency Percent Age (in years) 20-30 38 33.0 31-40 50 43.5 41-50 21 18.5 51-60 4 3.5 >60 2 1.7 Total 115 100 Gender Male 54 47.0 Female 61 53.0 Total 115 100 Educational Level Primary School 3 2.6 Secondary School 15 13 National Diploma 4 3.5 NCE 13 13.3 First Degree/HND 71 61.3 MSc/PhD 9 7.9 Total 115 100 Household Size 1-3 46 40.0 4-6 59 51.3 7-10 9 7.8 >10 1 0.9 Total 115 100 Mean 4 Occupation Teaching 34 29.6 Trading 16 13.9 Student 8 7.0 Farming 10 8.7 Civil Servant 42 36.5 Artisan 5 4.3 Total 115 100 Total monthly Income (N) <20,000 45 39.1 20,001– 40,000 29 25.2 40,001 – 60,000 15 13.0 60,001 – 80,000 11 9.6 80,001 – 100,000 6 5.2 >100,000 9 7.8 Total 115 100 Mean N42,020 Amount spent on food consumption (N) < 5,000 19 16.5 5,000 – 15,000 63 54.8 15,001 – 25,000 23 20 25,001 - 35,000 8 7.0 >35,000 2 1.7 Total 115 100 Mean N12,560.44 Marital Status Single 41 35.7 Married 74 64.3 Total 115 100 Amount spent on poultry products (N) <2,000 24 20.9 2,001 – 6,000 72 62.6 6,001 – 10,000 17 14.8 >10,000 2 1.7 Total 115 100 Mean N4, 219.70 Awareness of AI Yes 115 100.0 No 0 0 Total 115 100 Fig. 2: Households’ egg consumption before and during the outbreak Fig. 3: Households’ chicken consumption expenditure before and during the outbreak
  • 6. 333OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018) poultry products. With R2 = 0.858, the independent variables accounted for 85.8% of the total variation in the dependent variable. Awareness of AI negatively affected the amount households spent on poultry products (p<0.1) implying that increase in the level of awareness led to a decrease in the amount spent on poultry products. This agreed with the findings of 28 who reported that stated account of the health risks associated with HPAI resulted in a significant reduction in the demand for poultry products. It was also in line with the works of.22,29,35,36,37 The educational level of respondents had a significantly positive influence on the amount spent on the consumption of poultry products(p<0.1).This implied that households with higher education background spent more on poultry products because they understood the health benefits of these products in their diets.These findings were in line with the works of.28,35 Amount spent on food consumption equally had a significantly positive (p <0.01) influence on the amount spent on consumption of poultry products. The independent sample t-test result (Table 5) showed that there were significant differences in the amount spent on consumption of poultry products (eggs and chickens) before and during the outbreak of AI in the study area. This was in line with the studies of.28,29,35,36,37 Conclusion and Recommendations From the results, Avian Influenza disease outbreak posed a serious threat to poultry business in the study area. Awareness of AI, education of respondents and amount spent on food consumption significantly influenced household consumption Table 4: Determinants of poultry products consumption Variables Linear Double-log Semi-log Constant 0.704 (0.010) 3.536*** (49.773) -26350.1***(-5.623) Education level 0.130**(2.453) 0.078*(1.966) -0.002(-0.027) Household size 0.048(0.642) -0.001(-0.023) 0.087(1.354) Total income -0.005(-0.054) 0.062(0.984) 0.066(0.731) Awareness level 0.124**(-2.447) 0.075* (-1.976) -0.020 (-0.166) Amount spent on food consumed 0.760***(8.751) 0.809***(12.406) -0.097(-1.613) Age 0.003(0.047) 0.049(0.892) 0.726***(5.775) R2 0.747 0.858 0.655 Adjusted R2 0.733 0.850 0.635 F-Stat 53.163*** 108.477*** 33.817*** Note: The t-values are in parenthesis. *, ** and *** are significant at 10%, 5% and 1% levels respectively. Table 5: Independent t-test results of significant difference between poultry products consumption expenditure before and during the outbreak Hypothesis p-value Decision H0 : There is no significant difference between egg consumption expenditure before and during the outbreak 0.038 Reject H0 H1 : There is significant difference between egg consumption expenditure before and during the outbreak. H0 : There is no significant difference between chicken consumption expenditure before and during the outbreak. 0.019 Reject H0 H1 : There is significant difference between chicken consumption expenditure before and during the outbreak.
  • 7. 334OTEKUNRIN et al., Curr. Agri. Res., Vol. 6(3) 328-336 (2018) of poultry products. There were vivid differences between the consumption patterns of poultry products (eggs and chicken) before and during the outbreak of AI in the study area. The findings revealed that households still consumed poultry products during the outbreak. Therefore, government should ensure that poultry products are safe for human consumption through strict monitoring of birds’ environment by veterinary personnel. Also, members of the public should be properly sensitized on safety practices and precautions that should be cultivated before the consumption of poultry products. Acknowledgements The authors appreciate the two reviewers for their useful comments which contributed to the quality of the paper. References 1. Phillip, D., Nkonya, E., Pender, J. and O. A. Oni. 2009. Constraints to Increasing Agricultural Productivity in Nigeria: A Review. Nigeria Strategy Support Program (NSSP). Background Paper No NSSP 006. 2. United States Department of Agriculture (USDA).International Egg and Poultry Report 2013. 3. Heise, H., Crisan, A and Theuvsen, L. The Poultry Market in Nigeria: Market Structures and Potential for Investment in the Market 2015. International Food and Agribusiness Management Review Volume 18 Special Issue A. 4. Esiobu, N.S., Onubougu, G.C and Okoli V.B.N. Determinants of Income from Poultry Egg Production in Imo State, Nigeria 2014: An Econometric Model Approach. Global Advanced Journal of Agricultural Science 3(7): 186-199 5. Nmadu, J.N., Ogidan, I.O.and Omolehin R.A. Profitability and Resource Use Efficiency of Poultry Egg Production in Abuja, Nigeria 2014. Kasetsart Journal (Social Sciences) 35: 134-146. 6. Abraham-Oyiguh J., Sulaiman L.K., Meseko C.A., Ismail S., Suleiman I., Ahmed S.J and Onate E C. Prevalence of Newcastle disease antibodies in local chicken in Federal Capital Territory, Abuja, Nigeria 2014. International Scholarly Research Notices, 2014, Article ID 796148. 7. Mshelia I.T., Atsanda, N.N., Bitrus A.A., Adam B.M., Fika I.I., Balami S.B and Malgwi SA. Retrospective study of selected endemic viral diseases of poultry diagnosed in Maiduguri North-Eastern Nigeria 2016. Journal of Animal Health and Production, 4(2): 60-64. 8. Swayne DE. Overview of avian influenza. In: Aiello SE, Moses MA (eds). The Merck veterinary manual (online). Whitehouse Station, NJ: Merck and Co; 2012. Available at: http://www.merckmanuals.com/vet/ poultry/avian_influenza/overview_of_avian_ influenz a.html?qt=&sc=&alt=. 9. Fouchier RA, Munster VJ. Epidemiology of low pathogenic avian influenza viruses in wild birds. Rev Sci Tech. 2009; 28(1):49-58. 10. Olsen C.W, Brammer L, Easterday B.C, Arden N, Belay E, Baker I, Cox N.J.Serologic evidence of H1 swine Influenza virus infection in swine farm residents and employees. Emerg Infect Dis. 2002; 8(8):814-9. 11. Whitworth D, Newman S.H., Mundkur T., et al. Wild Birds and Avian Influenza: an introduction to applied field research and disease sampling techniques. Rome: FAO Animal Production and Health Manual; 2007. 12. Ntsefong G.N., Shariati M.A., Khan M.U., et al. Incidence of avian flu shocks on poor household livelihoods of poultry farmers in Africa.Int J Avian & Wildlife Biol. 2017; 2(1):7 11. DOI: 10.15406/ijawb.2017.02.00008 13. Swayne D.E. Understanding the complex pathobiology of high pathogenicity avian influenza viruses in birds. Avian Dis. 2007; 51(1 Suppl):242-9. 14. Swayne D.E. Avian influenza. In: Foreign animal diseases. Boca Raton, FL: United States Animal Health Association; 2008. p. 137-46. 15. World Organisation for Animal Health (OIE). Highly Pathogenic Avian Influenza, Technical Disease Card. 2014 Available from: http://
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