Fishermen’s Satisfaction with the Services of Fisherman Identity Card: A Case from Rural Bangladesh
Research Article
Fishermen’s Satisfaction with the Services of Fisherman Identity Card: A Case from Rural Bangladesh
Iffat Ara Mahzabin, Mohammad Maruf Hasan*, Saifur Rahman, Md. Asaduzzaman Sarker and Md. Yeakub Ali
Department of Agricultural Extension Education, Faculty of Agriculture, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Abstract | The Department of Fisheries (DoF) has been working in Bangladesh to provide efficient and effective services using Identity (ID) Cards to all categories of fishermen who are involved in inland capture fisheries and marine fisheries. The fisherman ID card services are essential in ensuring the capacity for management, control, and surveillance to manage fisheries effectively and eradicate illegal fishing. To address this issue, we conducted a study to gauge the fishermen’s satisfaction level with the services provided by fisherman identity cards. We conducted the study in two unions of Madarganj upazila (sub-district) under Jamalpur district. A Likert-type scale was used to identify the services the respondents mostly received. For each of the statements, they were asked to indicate whether they strongly agree, agree, disagree, strongly disagree with a corresponding score of 4, 3, 2, and 1, respectively. One hundred twenty fishermen were interviewed for data collection with a structured interview schedule in the selected unions from August 20 to September 22, 2022. The highest proportion of the respondents (86.68%) had a medium level of satisfaction, while 9.16% had a low and 4.16% had a high level of satisfaction regarding services provided through the fisherman ID card. Furthermore, providing rice during ban season, forming fishermen cooperative societies, and taking a lease of government open water bodies were the essential services received by the respondents using their ID cards. Among the selected characteristics of the fishermen, credit received, perceived economic return, extension media contact, organizational participation, and attitude towards extension service providers were identified as the influential factors affecting their level of satisfaction. As most of the fishermen had a medium level of satisfaction, concerned authorities should be more careful and take the initiative to make the services easier and more effective for the fishermen to maintain this current level of satisfaction.
Received | September 11, 2023; Accepted | March 27, 2024; Published | August 01, 2024
*Correspondence | Mohammad Maruf Hasan, Department of Agricultural Extension Education, Faculty of Agriculture, Bangladesh Agricultural University, Mymensingh, Bangladesh; Email: [email protected]
Citation | Mahzabin, I.A., M.M. Hasan, S. Rahman, M.A. Sarker and M.Y. Ali. 2024. Fishermen’s satisfaction with the services of fisherman identity card: A case from rural Bangladesh. Sarhad Journal of Agriculture, 40(3): 895-904.
DOI | https://dx.doi.org/10.17582/journal.sja/2024/40.3.895.904
Keywords | DoF services, Identity card, Satisfaction, Fishermen, Rural Bangladesh
Copyright: 2024 by the authors. Licensee ResearchersLinks Ltd, England, UK.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Introduction
Bangladesh is a country located in the northeastern region of the South Asian subcontinent, characterized by numerous rivers and extensive coastal lands along the Bay of Bengal to the south (Islam et al., 2021). The majority of the country is drained by the Padma, Brahmaputra, and Meghna rivers, forming one of the world’s largest river systems (Khan et al., 2019). The fishing sector has been essential for Bangladesh’s socioeconomic development from ancient times (Rahman, 2017). It is a part of our cultural heritage. Historically, many people in this country relied on the fish from different natural water bodies like beels, haors, baors, rivers, and seas (Hasan et al., 2018). The underprivileged fishermen population in our country relies primarily on fishing for their livelihood (Ahmed, 2018). Capture fisheries and aquaculture contributed 1.24% of total export earnings, 26.50% of the country’s agricultural GDP, and 3.57% of the overall GDP (Halim and Nabi, 2022). Approximately 12 million individuals in the country, or over 7.05% of the total population, are engaged in activities related to the fishing sector (Rahman et al., 2020).
The fishermen’s community in Bangladesh is considered one of the most impoverished and susceptible groups in society (Das et al., 2015). Islam (2013) observed that marginalized fishermen in Bangladesh encounter several internal and external challenges. Vulnerabilities differ among households in the same fishing community. The challenges encompass reduced per-unit catches, constrained revenue, financial assistance from banks through low-interest loans, inadequately maintained fishing vessels, unreliable weather predictions, absence of alternate sources of income, and unfavorable fish marketing conditions. In addition, the Hilsa and coastal fishing communities face seasonal unemployment due to unfavorable weather conditions and a 65-days ban on fishing to protect brood coastal and marine fish. Special food security measures are offered during this time to support the sustainable growth of fisheries (BILS, 2021). A total of 1.252 million people fall within this group, and the 2020–21 fiscal year’s budget for this program was 44.66 crore Bangladeshi Taka (BDT) (Bangladeshi currency: 1USD= 110 BDT). This effort focuses on providing subsistence support and promoting sustainable fishing, specifically in managing Hilsa resources for rural working-age residents (DoF, 2022).
The government has initiated a commendable effort to register all the nation’s fisherman and provide identity cards (Islam et al., 2018). Under the Department of Fisheries (DoF) development initiative, 1.620 million fishermen are registered, and 1.420 million are given ID cards. This activity is part of the revenue budget’s initiative to provide grants and financial assistance to fishermen’s families. In the 2020–21 fiscal year, 20,000 participants received 0.25 crore BDT money for an effort that involved updating fishermen registration and issuing them identity cards (DoF, 2022). According to the Department of Fisheries (DoF), obtaining a Fisherman ID card is easy and allows individuals to access services provided by DoF (Sharifuzzaman et al., 2018). This ID card service offers rice during ban season, establishes alternative income-generating opportunities for fisherman, facilitates the leasing of government open water bodies, and is applicable for fishermen cooperative societies (Islam et al., 2018). Due to the local government’s revised roster of licensed fishermen, they are eligible for social security benefits during fishing prohibition times. This is a significant advancement, as many of them lack income during fishing bans implemented to curb overfishing. If fishermen obtain satisfactory services through an identity card, they will be self-motivated to comply with instructions during ban periods by the Department of Fisheries. The Department of Fisheries should offer various support services to fishermen promptly, especially during emergencies. The policy makers can simultaneously modify the current policy. It is essential to investigate fishermen’s satisfaction with the identity card to ensure the sustainable livelihood of fishermen and the overall development of the fishing sector. No research has been undertaken to determine the satisfaction level of fishermen who carry the ID card and the services they really receive with this card. So, considering the above scenario, this study was conducted considering the following objectives.
- To assess the level of satisfaction of the fishermen with fisherman ID card services
- To identify the services provided by the DoF using fisherman ID cards
- To explore the factors associated with fishermen’s level of satisfaction with fisherman ID card services.
Materials and Methods
Study area
The study was conducted in five purposively selected villages, namely Char Chadpur, Dakshin Gaber Gram, Tartapara, Char Shuvogasa, and Sukhnagari of Balijuri Union and Madarganj Paurashava of Madarganj Upazila (sub-district) under Jamalpur district (Figure 1). These areas have card-holder fishermen, which is a significant achievement for the fisheries department. For this reason, the researchers selected these two areas of Madarganj purposefully to conduct research emphasizing fishermen’s satisfaction levels.
Population and sampling design
An updated list of all fishermen was collected from the Upazila Fisheries Office (UFO). There are 1866 fisherman ID card holders in the Madarganj Upazila. In this Upazila, we have selected one union, Balijuri, and one paurashava, Madarganj Paurashava. 493 fishermen in these selected areas are engaged in fisheries activities and received fisherman’s ID card services provided by UFO. So, these 493 fishermen were the target population of this study (Table 1). A sample of 120 (i.e., 25%) was determined by an online-based sample calculator (http://www.calculator.net) with an 80% confidence level and a 5% margin of error. A random sampling process produced the final list of 120 fishermen.
Methods of data collection
In the research area, 15 fishermen participated in a pre-test of the interview schedule. We performed the necessary fixes and alterations based on the pre-test experiences before finalizing the interview schedule for data collection. To obtain accurate and trustworthy data, the researchers personally surveyed the respondents. Data from the respondents was gathered by the researcher personally. The researcher methodically posed questions and provided justifications as necessary. Data collection took place between August 20 and September 22, 2022.
Measurement of variables and analysis of data
Identifying fishermen’s satisfaction levels was the first objective of the study. Thirteen (13) statements on various aspects of satisfaction were asked to the fishermen. A Likert-type scale was used to identify the services the respondents mostly received. For each of the statements, they were asked to indicate whether they strongly agree, agree, disagree, strongly disagree with a corresponding score of 4, 3, 2, and 1, respectively. Hence, the total score of a fisherman could range from 13 to 52; a score of 13 indicates a low level of satisfaction, and a score of 52 represents a high level of satisfaction with the fisherman’s ID card services. Ganpat et al. (2014) also used this method to determine the satisfaction level of the fishermen.
The third objective of the study, to identify factors associated with fishermen’s level of satisfaction, was identified by regression analysis. The linear regression analysis equation is as follows (Equation 1).
Where, yi= fisherme’s satisfaction, β0= constant, X1 = age, X2 = education, X3= household size, X4= farm size, X5 = annual family income, X6= experience in fishing, X7= credit received, X8= extension media contact, X9= organizational participation, X10= perceived economic return, X11= attitude towards extension service providers, εi= Error term.
Table 1: Distribution of population and sample size of the fishermen in the selected area.
Name of the Upazila (sub-district) |
Name of the Union |
Total no. of fishermen with ID card (population) |
Sample size (n) |
Madarganj |
Madarganj Paurashava |
258 |
63 |
Balijuri |
235 |
57 |
|
Total |
493 |
120 |
Source: Office documents, 2022, Upazila Fisheries Office, Madarganj, Jamalpur.
Table 2: Characteristics profile of the fishermen (n=120).
Characteristics (Measuring units) |
Range |
Respondent categories |
Respondents |
Mean |
SD* |
||
Possible |
Observed |
Number (n=120) |
Percent (%) |
||||
Age (Actual years) |
Unknown |
23-78 |
Young (18-35) |
26 |
21.7 |
45.51 |
11.34 |
Middle (36-50) |
54 |
45 |
|||||
Old (above 50) |
40 |
33.7 |
|||||
Educational level (Years of schooling) |
Unknown |
0-10 |
Illiterate (0) |
79 |
65.8 |
2.08 |
3.14 |
Primary (1-5) |
24 |
20 |
|||||
Secondary (6-10) |
17 |
14.2 |
|||||
Above secondary (>10) |
0 |
0 |
|||||
Household size (No. of members) |
Unknown |
2-10 |
Small (2- 4) |
30 |
25 |
5.36 |
1.25 |
Medium (5-6) |
75 |
62.5 |
|||||
Large (above 6) |
15 |
12.5 |
|||||
Farm size (Hectare) |
Unknown |
0-1.408 |
Landless (up to 0.02) |
46 |
38.3 |
0.05 |
0.16 |
Marginal (.021-0.2) |
69 |
57.5 |
|||||
Small (0.21-0.99) |
3 |
2.5 |
|||||
Medium (1.00-3.00) |
2 |
1.7 |
|||||
Large (>3) |
0 |
0 |
|||||
Annual family income ('000' Tk) |
Unknown |
45-300 |
Low (up to 150) |
84 |
70 |
119.44 |
62.45 |
Medium (151-300) |
36 |
30 |
|||||
High (above 300) |
0 |
0 |
|||||
Experience in fishing (Years) |
Unknown |
3-55 |
Low (up to 14) |
11 |
9.2 |
27.38 |
11.67 |
Medium (15-29) |
53 |
44.1 |
|||||
High (above 29) |
56 |
46.7 |
|||||
Credit received ('000' Tk) |
Unknown |
0-150 |
No credit (0) |
47 |
39.2 |
21.49 |
27.41 |
Low (1-50) |
66 |
55 |
|||||
Medium (51-100) |
4 |
3.3 |
|||||
High (above 100) |
3 |
2.7 |
|||||
Extension media contact (scale score) |
0-30 |
8-17 |
Low (1-10) |
8 |
6.7 |
13.43 |
1.78 |
Medium (11-20) |
112 |
93.3 |
|||||
High (above 20) |
0 |
0 |
|||||
Organizational participation (scale score) |
0-8 |
1-4 |
No participation (0) |
0 |
0 |
2.01 |
0.75 |
Low (1-2) |
94 |
78.3 |
|||||
Medium (3-4) |
26 |
21.7 |
|||||
High (above 4) |
0 |
0 |
|||||
Perceived economic return (scale score) |
0-10 |
2-9 |
Low (up to 3) |
16 |
13.33 |
5.05 |
1.64 |
Medium (4-6) |
82 |
68.33 |
|||||
High (above 6) |
22 |
18.33 |
|||||
Attitude towards extension service providers (scale score) |
8-32 |
9-29 |
Slightly favorable (up to 11) |
10 |
8.33 |
19.4 |
4.96 |
Moderately favorable (12-22) |
79 |
65.83 |
|||||
Highly favorable (above 22) |
31 |
25.83 |
Source: Field Survey, 2022, Note: SD stands for Standard Deviation.
Results and Discussion
Selected characteristics of the respondents
The data presented in Table 2 shows that most of the fishermen (45%) were middle-aged, with 21.7% being young and 33.7% old. Middle and old-aged people together constitute 78.7%. Therefore, it could be said that satisfaction regarding fisherman ID card services in the study area was expected to be considerably influenced by the middle and old-aged fishermen. Again, Table 2 states that middle and old-aged fishermen in the study area could be more concerned about the fishermen’s activities. It is assumed that the aged fishermen might have comparatively more capacity to determine their satisfaction level with fisherman ID card services; with the passage of time, they gain more experience. These findings are in line with the findings reported by Ahmed (2017), Kavaskar et al. (2014), Inavati et al. (2014), Tochhawng and Rewani (2013), and Ali (2012). Data shows that the literacy rate was 34.2, which is lower than the national literacy rate of 72.3% (BBS, 2020). Ahmed (2017) and Rahman (2019) found similar results.
Again, the highest proportion of the fishermen (57.5%) had marginal farm size, whereas 38.3%, 2.5%, and 1.7% had landless, small, and medium farm size, respectively. No respondent was found in the large category. The highest proportion of the fishermen (70%) were in the low-income category, whereas 30% were in the medium category. No respondent was found in the high category. The findings indicate that all of the fishermen (100%) were in the low to medium-income category. The data shows that 46.7% of the respondents had high experience, while 44.1% had medium experience.
Furthermore, the highest proportion (55%) of the fishermen had received low credit, 39.2% had no loan, 3.3% had medium, and 2.7% had received high credit, respectively. Table 2 presents data indicating that the majority of fishermen (93.3%) had medium extension media contact, 6.7% had slight extension media contact, and no one had high extension media contact. Asif (2016) and Ali (2012) found similar results.
Table 2 presents data indicating that 78.3% of the fishermen had low organizational participation, 21.7% had medium participation, and no respondent had high organizational participation. A significant portion of the fishermen had a low level of participation, which is undoubtedly very alarming. More than two-thirds (68.33%) of the respondents perceived a medium level of economic return, while only 18.33% perceived a high level of economic return. Lastly, a great portion of the respondents had a moderately to highly favorable attitude, and only 8.33% showed a slightly favorable attitude towards the extension service providers.
Services received by fishermen through fisherman’s ID card
The data presented in Table 3 shows the services received by fishermen under fisherman ID cards. The first-ranked service showed that most of the fisherman ID card holders were occasionally provided rice during ban season (mean score of 1.95). Id card holders can form fishermen cooperative societies” was the second-ranked service with a mean score of 1.33. The last rank service of the selected area was “created alternative income generating sources for the fishermen” (mean score of 0.54), which was not working correctly in the selected area.
The respondents were grouped based on the services they received (Figure 2). Most of the respondents received a medium level of service using their ID cards. Only 5% of the respondents remained in the low category, while 6.75% received information about obtaining more services.
Table 3: Rank order of the services received by fishermen under fisherman ID card.
S. No. |
Services |
Extent of services received |
Mean |
Rank order |
|||
N (0) |
S (1) |
O (2) |
F (3) |
||||
1 |
Provide rice during the ban period |
2 |
10 |
100 |
8 |
1.95 |
1 |
2 |
Created alternative income-generating sources for the fishermen |
80 |
20 |
15 |
5 |
0.54 |
5 |
3 |
Unused government land is leased by digging ponds at cheap rates to fishermen |
60 |
6 |
50 |
4 |
0.98 |
4 |
4 |
Plays a helpful role in taking a lease of government open water bodies |
45 |
15 |
50 |
10 |
1.20 |
3 |
5 |
Fisherman card holders can form fishermen cooperative societies |
30 |
40 |
30 |
20 |
1.33 |
2 |
N= Never, S= Seldom, O= Occasionally, F=Frequently.
Level of satisfaction of the fishermen towards fisherman ID card services
To capture fishermen’s satisfaction with fisherman ID card services, Table 4 presents the percentage responses to each statement. Concerning the overall level of satisfaction, mean frequencies suggested that 51.69% of fishermen expressed some level of satisfaction (37.23% of fishermen strongly agreed with the statements, and 14.46% of the fishermen agreed with the statements). In comparison, 68.31% expressed some level of dissatisfaction (22.46% disagreed with the statements, and 45.85% strongly disagreed). The statement with the highest level of agreement was, the services of the fisherman ID card aren’t affected by political influences (93.3% of fishermen strongly agreed and 6.7% agreed). Also high in satisfaction was it is very easy to get a fisherman ID card without any hustle (87.5% of fishermen strongly agreed, 0.8% agreed, and 11.7% disagreed).
On the other hand, the statement where most fishermen are not satisfied was it has established economic stability through giving interest-free credit to the fishermen. Most fishermen (94.2% of the fishermen strongly disagreed with this statement, another 3.3% disagreed, and 2.5% agreed). Similarly, fishermen strongly disagreed with the statement, “After natural hazards or emergencies, fisherman ID Card services help the fishermen by providing nutritional foods, clothes and money” (93.3%, 3.3%, and 3.3% of the fishermen strongly disagreed, disagreed, and agreed, respectively). There were mixed levels of satisfaction with statements such as this service has increased the social participation of poor rural fishermen.
BILS (2021) conducted a study on ‘Sector-wide Human Rights Impact Assessment (SWIA) in small-scale artisanal fishing communities in Barguna and Cox’s Bazar district of Bangladesh’. It revealed that fishermen complained about the lack of a clear policy defining the criteria for issuance of the fisherman ID Card, which is used as a basis for receiving allowances specifically targeting fishermen during e.g. fishing ban periods. Social Safety Nets in Bangladesh are implemented via direct cash transfers to beneficiaries, while the allowances fishermen received during bans consist in rice. Fishermen showed their preference in receiving cash instead of rice.
Table 4: Rank order of the statements related to fishermen’s satisfaction.
S. No. |
Services |
No. of respondents (n=120) |
Mean |
Rank order |
|||
SD |
D |
A |
SA |
||||
1 |
The ID card service has ensured the food security of fishermen by providing necessary foods |
102 |
6 |
11 |
1 |
1.26 |
9 |
2 |
It has established economic stability by giving interest-free credit to the fishermen |
113 |
4 |
3 |
0 |
1.08 |
13 |
3 |
This service provides incentives if an ID card-holder fisherman dies while catching fish |
7 |
6 |
61 |
46 |
3.22 |
5 |
4 |
This service has increased the social participation of poor rural fishermen |
11 |
77 |
32 |
0 |
2.17 |
7 |
5 |
This ID card service has created alternative earning facilities for the fishermen |
109 |
8 |
2 |
1 |
1.13 |
10 |
6 |
It is very easy to get a fisherman ID card without any hustle |
0 |
14 |
1 |
105 |
3.76 |
2 |
7 |
I am pleased with the services of fisherman ID card |
17 |
58 |
25 |
20 |
2.40 |
6 |
8 |
After natural hazards or emergencies, fisherman ID card services help them, fishermen, by providing nutritional foods, clothes, and money |
112 |
4 |
4 |
0 |
1.10 |
12 |
9 |
The fisherman ID card service is essential for my fishing activities |
16 |
86 |
16 |
2 |
2.03 |
8 |
10 |
I can get timely relief by using my fisherman ID card |
1 |
6 |
16 |
97 |
3.74 |
3 |
11 |
I have not seen any biasness while getting services through fisherman ID card |
3 |
8 |
9 |
100 |
3.72 |
4 |
12 |
I can fulfill my basic needs through a fisherman ID card |
105 |
15 |
0 |
0 |
1.13 |
11 |
13 |
The services of fisherman ID card do not affect by political influences |
0 |
0 |
8 |
112 |
3.93 |
1 |
Mean Score of Satisfaction |
45.85 |
22.46 |
14.46 |
37.23 |
Source: Field Survey, 2022. Note: SA: Strongly Agree; A: Agree; D: Disagree; SD: Strongly Disagree.
Table 5: Distribution of respondents according to their level of satisfaction with fisherman ID card services.
Categories of fishermen (Unit score) |
No. of fishermen (n=120) |
Mean |
Standard deviation |
|
Number |
Percent |
|||
Low-level satisfaction (13-26) |
11 |
9.16 |
30.58 |
2.06 |
Medium level of satisfaction (27-39) |
104 |
86.68 |
||
High level of satisfaction (40-52) |
5 |
4.16 |
||
Total |
120 |
100 |
Source: Field Survey, 2022.
Table 6: Summary of multiple linear regression explaining the dependent variable.
Unstandardized coefficients |
Standardized coefficients |
t |
Sig. |
Collinearity statistics |
|||
B |
Std. Error |
Beta |
Tolerance |
VIF |
|||
(Constant) |
16.061 |
1.287 |
12.482 |
0.000 |
|||
Age |
0.004 |
0.017 |
0.012 |
0.231 |
0.818 |
0.642 |
1.559 |
Educational level |
-0.052 |
0.053 |
-0.044 |
-0.967 |
0.335 |
0.865 |
1.156 |
Household size |
0.106 |
0.137 |
0.036 |
0.772 |
0.442 |
0.830 |
1.205 |
Farm size |
-0.277 |
0.996 |
-0.012 |
-0.279 |
0.781 |
0.915 |
1.093 |
Annual family income |
0.000 |
0.003 |
0.003 |
0.072 |
0.942 |
0.860 |
1.163 |
Experience in fishing |
-0.016 |
0.017 |
-0.052 |
-0.994 |
0.323 |
0.652 |
1.535 |
Credit received |
0.014 |
0.006 |
0.117 |
2.234 |
0.028 |
0.650 |
1.539 |
Extension media contact |
0.258 |
0.066 |
0.201 |
3.913 |
0.000 |
0.680 |
1.470 |
Perceived economic return |
0.570 |
0.130 |
0.254 |
4.385 |
0.000 |
0.533 |
1.877 |
Organizational participation |
0.433 |
0.142 |
0.182 |
3.041 |
0.003 |
0.501 |
1.994 |
Attitude towards extension service providers |
0.319 |
0.042 |
0.430 |
7.540 |
0.000 |
0.550 |
1.818 |
n=120, R = 0.898, R2 = 0.806, Adjusted R2 = 0.787 and F value = 40.907
The fishermen’s satisfaction level with fisherman ID card services was the primary focus of the study. The satisfaction scores of fishermen varied from 25 to 36 against the possible range of 13 to 52, with an average of 30.58 and a standard deviation of 2.06. Table 5 shows the classification of the fishermen into three categories based on the possible range of scores. The findings indicate that most of the fishermen (86.68%) had a medium level of satisfaction with fisherman ID card services, compared to only 9.16% having low satisfaction and only 4.16% having a high level of satisfaction. Table 5 shows that the fishermen’s satisfaction level was medium to low. Parwate et. al. found similar findings in their study entitled “Satisfaction of Farmers About Kisan Credit Card in Raipur District of Chhattisgarh, India.”
Factors affecting farmer’s satisfaction level
All of the variables in the regression analysis (Table 6) had a big effect on the satisfaction index that was calculated (F (11, 108) = 40.907, p < 0.01), and these variables explained 80% of the variation in farmers’ satisfaction (R2 = 0.80). Multi-collinearity was not a significant issue in the model, as evidenced by the Variance Inflating Factors (VIF) used to identify it as present among independent variables, which were less than 10. Table 6 provides an overview of linear regression. Individual t-tests indicated that the following variables significantly affected fishermen’s satisfaction: Credit received, perceived economic return, extension media contact, organizational participation, and attitude toward extension service providers.
As most of the respondents belong to the low-income category (Table 2), it is obvious that they need credit facilities. So, if fishermen get the desired credit facility by using the provided fisherman card, they will undoubtedly have more satisfaction with the discussed ID card. The research findings (Table 6) indicate a direct correlation between the respondents’ satisfaction level and the credit they receive. Kouadio et al. (2023) conducted a study on the satisfaction level of cocoa farmers with input credit in the Nawa Region of Côte d’Ivoire and found similar findings. Again, communication is an excellent way of getting updated information about different services and benefits. Fishermen with higher communication with extension personnel, peers, etc. generally have more information regarding the services that they can pursue by issuing the ID card. Thus, extension media contact has a direct and positive relationship with satisfaction level. Therefore, it is an essential factor that significantly impacts satisfaction. Away et al. (2022) conducted a study on the analysis of farmers’ satisfaction levels with the performance of agricultural extension agents and found that extension media can play a significant role in enhancing farmers satisfaction levels.
Generally, any facility or provision is measured in terms of economic return. If the fishermen perceive any economic return, like a one-time allowance or compensation, because of having an ID card, they will certainly feel more satisfied. So, perceived economic return plays a significant role in terms of measuring satisfaction level. Table 6 shows that the satisfaction level of the fisherman increased by 1 unit, with a 0.570 unit increase in the perceived economic return. Elias et al. (2017) reported a similar finding that farmers’ contentment was substantially correlated with their perceived economic return. Furthermore, organizational participation provides an opportunity for information gathering about different services through their ID card and raising their voice towards achieving those services or benefits. Analysis shows that the satisfaction level increases by one unit for a 0.433 unit rise in organizational participation. This positive and direct relationship makes it an important determining factor in satisfaction. Lastly, the fishermen’s attitude towards the extension service providers is important in determining their satisfaction. Table 6 shows that a 0.319-unit rise in attitude towards extension service providers increases the satisfaction level by 1 unit. A positive attitude is created only when farmers receive the desired extension service on time, and this positive attitude will lead to an increase in satisfaction level. So, fishermen’s attitude towards extension services is an important factor in determining their satisfaction level. Elias et al. (2016) conducted a study on farmers’ satisfaction with agricultural extension service and its influencing factors in North West Ethiopia, where they found that farmers’ attitudes towards extension service providers played a significant role in determining their satisfaction level.
Conclusions and Recommendations
As most respondents had medium levels of satisfaction (86.68%), it is evident that the ID card service is going well. However, only five services are currently provided through a fisherman ID card. Thus, more need-based issues like interest-free credit and support during emergencies might help gain a higher satisfaction level. Again, as satisfaction level depends on several factors, DoF needs to ensure fishermen’s participation in extension activities and other fishermen’s organizations so that they have a good attitude or impression about extension service providers.DoF should expand fishermen identification and fishing boat registration to strengthen the current fishermen identity card system. It will provide linkage between fishing craft and fishermen ID card databases with a geographic information system (GIS) platform. It will ensure a national fisheries management plan for sustainable harvest of fisheries resources as well as the better livelihood of the fisherman community.
Acknowledgments
This research paper is a component of a Master’s study that one of the authors completed at Bangladesh Agricultural University in Mymensingh, Bangladesh. The authors would like to acknowledge the Upazila Fisheries Office, Madarganj, Jamalpur, for their assistance and collaboration in making this research possible. We appreciate the interviewees’ time and the anonymous reviewer’s cooperation in providing their insightful observations.
Novelty Statement
This paper is based on the fishermen’s satisfaction with the services offered by the fisherman identity card. This paper will help policymakers in the formulation of strategies so that necessary steps are to be taken to include a greater number of fishermen under ID card services to ensure sustainable livelihood and development.
Author’s Contribution
Iffat Ara Mahzabin: Conceptualization, identification of research problem, methodology development, formal analysis and initial draft preparation.
Mohammad Maruf Hasan: Data analysis, initial draft preparation, review and preparation of final version.
Saifur Rahman: Data analysis and final version preparation.
Md. Asaduzzaman Sarker: Methodology development, identification of research problem, and initial draft preparation.
Md. Yeakub Ali: Methodology development, and conduction of data collection, data analysis and initial draft preparation.
Conflict of interest
The authors have declared no conflict of interest.
References
Ahmed, F., 2017. Farmers’ satisfaction on agricultural development in selected areas of Bangladesh department of agricultural extension and information system, Sher-e-Bangla Agricultural University, Dhaka.
Ahmed, R., 2018. Assessment of livelihood and poverty status of the floating fishermen in Chadpur and Laximipur districts of Bangladesh.
Ali, M.H., 2012. Knowledge of the vegetable growers on health and environmental perspectives of pesticide exposure. Department of Agricultural Extension Education, Bangladesh Agricultural University, Mymensingh. https://doi.org/10.17700/jai.2017.8.2.376
Asif, A.S., 2016. Use of mobile phone by the farmers in receiving information on vegetable cultivation. Department of Agricultural Extension Education, Bangladesh Agricultural University, Mymensingh.
Away, S.F.Y., L. Fitriana and H.H.B. Nasution. 2022. Analysis of farmers’ satisfaction level with the performance of agricultural extension agents (case study of Rantau Kasai Village, North Tambusai Subdistrict, Rokan Hulu Regency, Riau Province). Open Glob. Sci. J., 1(2): 57-76.
BBS, 2020. Statistical year book. Bangladesh Bureau of Statistics, Statistics and Information Division, Ministry of Planning, Govt. of the People’s Republic of Bangladesh.
BILS, 2021. Sector-wide human rights impact assessment (SWIA) in small-scale artisanal fishing communities in Barguna and Cox’s Bazar district of Bangladesh. COAST Trust, Shyamoli, Dhaka.
Das, M.R., S. Ray, U. Kumar, S. Begum and S.R. Tarafdar. 2015. Livelihood assessment of the fishermen community in the south west region of Bangladesh. J. Exp. Biol. Agric. Sci., 3(4): 353-361. https://doi.org/10.18006/2015.3(4).353.361
DoF: National Fish Week, 2022. Compendium; Department of Fisheries, Ministry of Fisheries and Livestock, Dhaka, Bangladesh.
Elias, A., M. Nohmi and K. Yasunobu. 2017. Cost-benefit analysis of cultivating three major crops and its implication to agricultural extension service: A case study in North-West Ethiopia. Jpn. J. Agric. Econ., 19: 31-36. https://doi.org/10.18480/jjae.19.0_31
Elias, A., M. Nohmi, K. Yasunobu and A. Ishida. 2016. Farmers satisfaction with agricultural extension service and its influencing factors: A case study in North West Ethiopia. J. Agric. Sci. Technol., 18(1): 39-53.
Ganpat, W.G., N. Webster and L.K. Narine. 2014. Farmers satisfaction with extension services in the organization of eastern Caribbean States. J. Int. Agric. Ext. Educ., 21(3): 49-62. https://doi.org/10.5191/jiaee.2014.21304
Halim, M.A. and M.M. Nabi. 2022. Study on the stocking density of fry for fingerling production of common carp at BAPARD Nursery Ponds. Egypt. J. Aquat. Biol. Fish., 26(6): 1199-1214. https://doi.org/10.21608/ejabf.2022.280731
Hasan, A.M., R. Awoal, T.A. Sumon, M. Alal, T.A. Hossen, M.A. Chowdhury and M.S. Uddin. 2018. Species diversity and seasonal composition of aquatic weeds in Tanguar haor area at Taherpur upazilla under Sunamganj district, Bangladesh. Int. J. Fish. Aquat. Stud., 6: 570-574.
Inavati, M., S.R.K. Singh, A.K. Pande and R. Shukla. 2014. Assessing the training needs of tribal farmers about improved chickpea production practices in MP. J. Commun. Mobiliz. Sustain. Dev., 9(2): 172-175.
Islam, A.R.M.T., R. Salam, N. Yeasmin, M. Kamruzzaman, S. Shahid, M.A. Fattah and K. Techato. 2021. Spatiotemporal distribution of drought and its possible associations with ENSO indices in Bangladesh. Arab. J. Geosci., 14: 1-19. https://doi.org/10.1007/s12517-021-08849-8
Islam, M.M., 2013. Vulnerability and adaptation of fishing communities to the impacts of climate variability and change: Insights from coastal Bangladesh. University of Leeds.
Islam, M.M., R. Aktar, M. Nahiduzzaman, B.K. Barman and M.A. Wahab. 2018. Social considerations of large river sanctuaries: A case study from the Hilsa shad fishery in Bangladesh. Sustainability, 10(4): 1254. https://doi.org/10.3390/su10041254
Islam, M.M., A. Begum, S.M.A. Rahman and H. Ullah. 2021. Seasonal fishery closure in the northern Bay of Bengal causes immediate but contrasting ecological and socioeconomic impacts. Front. Mar. Sci., 8: 704056. https://doi.org/10.3389/fmars.2021.704056
Kavaskar, M. and S. Gobinda. 2014. Communication behaviour of banana growers on banana production technologies. Int. J. Econ. Bus. Rev., 2(12): 126-130.
Khan, M.H.R., J. Liu, S. Liu, A.A. Seddique, L. Cao and A. Rahman. 2019. Clay mineral compositions in surface sediments of the Ganges-Brahmaputra-Meghna river system of Bengal Basin, Bangladesh. Mar. Geol., 412: 27-36. https://doi.org/10.1016/j.margeo.2019.03.007
Kouadio, Y.D., A.N.B. Anani, B. Faye and Y. Fan. 2023. Determinants influencing cocoa farmers’ satisfaction with input credit in the Nawa Region of Côte d’Ivoire. Sustainability, 15(14): 10981. https://doi.org/10.3390/su151410981
Ngasotter, S., S.P. Panda, U. Mohanty, S. Akter, S. Mukherjee, D. Waikhom and L.S. Devi. 2020. Current scenario of fisheries and aquaculture in India with special reference to Odisha: A review on its status, issues and prospects for sustainable development. Int. J. Bio-Resour. Stress Manage., 11(4): 370-380. https://doi.org/10.23910/1.2020.2126a
Rahman, S., 2019. Farmers’ satisfaction with agricultural extension services provided by the Upazila agricultural office. Department of Agricultural Extension Education, Bangladesh Agricultural University, Mymensingh.
Rahman, M.A., M.T. Toky, M.S. Islam and M.A. Mukta. 2020. Economic analysis of tilapia-carp polyculture in a selected area of Bangladesh. Arch. Agric. Environ. Sci., 5(3): 354-362. https://doi.org/10.26832/24566632.2020.0503017
Rahman, M.T., 2017. Role of agriculture in Bangladesh economy: Uncovering the problems and challenges. Int. J. Bus. Manage. Invent., 6(7).
Sample Size Calculator, 2022. Online based calculator to determine sample size http://www.calculator.net. (Date of accession: September 4, 2022).
Sharifuzzaman, S.M., M.S. Hossain, S.R. Chowdhury, S. Sarker, M.S.N. Chowdhury and M.Z.R. Chowdhury. 2018. Elements of fishing community resilience to climate change in the coastal zone of Bangladesh. J. Coast. Conserv., 22: 1167-1176. https://doi.org/10.1007/s11852-018-0626-9
Tochhawng, L. and S.K. Rewani. 2013. Constraint analysis of backyard pig farming in tribal areas of Mizoram. Indian Res. J. Exten. Educ., 13(2): 123-124.
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