Basic HTML Version
International Journal of Marine Science 2015, Vol.5, No.6, 1-7
http://ijms.biopublisher.ca
4
H
0
More than half the population think BMUs have
been effective.
H
1
Less than half the population think BMUs have
been effective.
The hypothesis was tested using a chi-square test
statistic and the result presented as p-values (Table 1
column 4). A p-values is the estimated probability of
obtaining a chi-square value greater than or equal to
chi-square figures, if equal proportions of the
population think the BMUs have been ineffective. If a
p-value is low then the probability of obtaining a
chi-square greater than or equal to the calculated chi
square given that the null-hypothesis is true, is not
sufficiently small to justify
rejecting the
null-hypothesis. Results on perception of fishers on
performance of BMUs indicate significant
difference (p≤0.05) with more than half of
respondents viewing BMUs to be effective in
carrying out some activities than the others. Similar
analysis was done on this data to assess whether the
differences exhibited in the activities were the same
or differed between these BMUs in undertaking the
activities. The tested hypotheses 2 were:
Table 1 Fishers rating on BMUs and chi square calculations for activities and BMUs
Activity
No
Very effective
(%)
Somehow effective
(%)
Not effective
(%)
p-value for p
erception
p-value for
BMUs
Formulating by laws
62
90
10
0
.000
1.000
Patrolling fishing grounds
62
18
44
38
.075
.037
Prosecuting offenders
62
76
22
2
.000
.313
Confiscating bad gears
62
61
31
8
.000
.641
Resolving conflicts
62
95
5
0
.000
.072
Arresting offenders
62
79
18
3
.000
.151
Collecting revenues
62
63
21
16
.000
.006
Conducting meetings
62
10
73
17
.000
.003
Data collection
62
27
60
13
.000
.449
Keeping inventory
62
81
16
3
.000
.151
Initiating development projects
62
16
57
27
.000
.000
Note: Rating: <50% Not effective, 50-75% somehow effective, >75% very effective
H
0
There is no difference between BMUs in
undertaking the activities
H
1
There is difference between BMUs in undertaking
the activities.
The results presented in the last column of Table 1, in
a similar way as before indicates significant difference
(p≤0.05) in revenue collection, conducting meetings
and initiation of development projects while
non-significant difference recorded in other activities.
Influence of social status on BMUs performance
The responses from the survey questionnaire (62)
were also subjected to ordinal regression analysis to
determine whether key demographic characteristics’,
such as gender (male and female), education (no
schooling, primary education and secondary education)
and occupation (boat owner, crew and fish trader),
have an impact on attitudes towards performance of
BMUs. Pseudo R Square measure the different models
goodness of fit to the data. The pseudo R square is a
relative measure of fit, ranging from 0, indicating a
very poor fit, to 1, indicating a very good fit. Positive
signs of estimated parameters indicate a positive effect
of the variable on satisfaction with the BMU effect
and a negative sign indicates that the variable has a
tendency to reduce satisfaction with the BMU. The
hypothesis that the true parameter is zero is tested for
all parameters and the results indicated by asterisk (*
for p-value <0.05, ** for p-value <0.01***, for
p-value<0.001, and no asterisk for non-significant
parameters).
Results in Table 2 indicates that respondents’
background affects fishers’ attitude towards
performance of BMUs in some activities. For instance,
those with primary education are less satisfied with
BMU performance in data collection and initiation of
projects than those with secondary education and those
who never went to school. On the other hand, those