3.1 Sociodemographic profile
Results showed that the average age of respondents was 41 years old, the youngest respondent was 17, and the oldest was 72 years old. Women in the age range of 21 to 30 years old were actively engaged in the fisheries sector, with 27% more participants than in the adult age range of 41 to 50 years old (only 26% were actively engaged). This active engagement decreased to 7% in ages above 60 years old (see Fig. 2A). For the number of years spent in the community, the respondents ranged from 21 to 30 years in all the study sites with the following percentages of respondents from each village surveyed in this range: 39% from Sta. Maria, 36% from Malita, 28% from Governor Generoso, 24% from Davao City, and 22% for Lupon and Don Marcelino. Most of the respondents have been living in their areas, their entire lives (Fig. 2B). In terms of household size, most of the women in Sta. Maria (86%), Governor Generoso (73%), Malita (72%), Don Marcelino (71%), Lupon (63%), and Davao City (55%) have a household size that ranged from 1 to 5 individuals (Fig. 2C). The location of the respondents’ houses from the shoreline did not vary extensively from each study site. This means, most of the women and their families live close to the shore and do not own any strip of land for farming or even for a decent housing. In Davao City, 100% of respondents were located within a 0–5 km distance from the shoreline. In Lupon and Governor Generoso, 86% and 70% of respondents are also living from 0 to 5 km from the shoreline. In Don Marcelino, a little more than half, 54% of the respondents were living near the shoreline and in Sta Maria, only 38% of respondents lived near 0–5 km from the shoreline (Fig. 2D). The majority of fishers, 86 to 98% of all respondents do not own their land. The lack of hard assets such as a good house and land ownership makes these fishing families vulnerable to poverty (Fig. 2E). Women from the study sites were found to have low educational attainment, with most of them having reached only a primary level of education. Those who were able to complete their primary level of education were 47% in Davao City, 41% in both Governor Generoso and Don Marcelino, 38% in Malita, 32% in Sta. Maria and 26% in Lupon. A lower percentage of respondents reported having finished their secondary level education with 32% in Don Marcelino, 26% in Lupon, 24% in Governor Generoso, 19% in Davao City, 17% in Malita, and 16% in Sta. Maria. Among all respondents surveyed, only 3% self-reported having finished their college degrees in all the study sites they were from (Fig. 2F).
3.2 Engagement in the Fisheries
Most of the respondents belong to a family of fishers, 87% (N = 223). About 95% of the respondents in Sta. Maria, followed by 94% in both Governor Generoso and Lupon, 88% in Don Marcelino, 79% in Malita, and 66% in Davao City belong to a fishing family (Fig. 3A). Moreover, the respondents were actively engaged in the fisheries, including their husbands (44%), fathers (24%), mother (12%) and their son/s (12%), brother (4%) and sister (4%) (see Fig. 3B).
Boat ownership and fish hold capacity
The respondents from Don Marcelino mentioned that their families owned their fishing boats (85%). In comparison, 70% of the respondents from Lupon mentioned owning their boats, and 62% of respondents in Malita, and 60% in Governor Generoso reported owning their boats. In contrast, about 30% and 24% of respondents from Davao City and Sta. Maria reported their ownership of boats (Fig. 4C). The fish holding capacity of the boats (kg) ranged from 0-100 kg (35%), 101–300 kg (61%), 301–400 kg (1%), 401–500 kg (3%), and > 501 kgs (0%) of fish in all the study sites. In terms of capacity with the highest percentages within a given range, the fish hold capacity of 101–300 kg range has 84% for Sta. Maria, 77% for Davao City, 51% for both Governor Generoso and Don Marcelino, 52% for Malita, and 47% for Lupon (Fig. 4D).
The proportion of catch sold
Overall, 63% of the respondents have mentioned selling all their catch, 32% for selling more than half of their catch that day, and only 5% have mentioned that they will sell less than half of their catch. For instance, in the majority of the fishers in Davao City will sell more than half of their catch (52%), while in Don Marcelino and Lupon 85% have mentioned selling all their catch. In Governor Generoso and Malita 64% have mentioned selling all their catch, and almost half of respondents in Sta. Maria has mentioned selling all their catch, revealing their preference for cash which they can use to purchase their other needs (see Fig. 4E).
Common species caught
Species reportedly caught include bigeye scad (Selar crumenophthalmus) in Don Marcelino (41%), Davao City (42%), Malita (39%), Sta. Maria (37%), Governor Generoso (35%), and Lupon (29%). Frigate tuna (Auxis thazard) in Governor Generoso (40%), Don Marcelino (35%), Malita (24%), Lupon (23%) Sta. Maria (22%), and Davao City (13%). This was followed by roundscad (Decapterus macrosoma) in Sta. Maria (35%), Governor Generoso (15%), Davao City (13%), Malita (12%), Don Marcelino (10%), and Lupon (8%). Other species mentioned include Indian mackerel (Rastrelliger kanagurta) in Malita (14%), Davao City (10%), Lupon (8%), in Governor Generoso (5%), in Sta. Maria (3%), and in Don Marcelino (2%). Bicolor goatfish (Parupeneus barberinoides) in Lupon (12%), Davao City (6%), Governor Generoso (5%), Malita (3%), Don Marcelino (1%) is less often found.In Lupon (9%), Davao City (6%), Malita (5%), Don Marcelino (4%) Bali sardinella (Sardinella lemuru) is also not as commonly caught. Women also mentioned Indian threadfish (Alectis indica) in Davao City (10%), Lupon (4%), Malita (3%), Don Marcelino (1%); striped ponyfish (Aurigequula fasciata) in Lupon (4%), Davao City (3%), Don Marcelino (2%), and Sta. Maria (1%); roundscad (Decapterus macrosoma) in Davao City (13%), Lupon and Sta. Maria (1% each) and skipjack tuna (Katsuwonus pelamis) in Davao City and Lupon (3%), in Don Marcelino (2%), and Sta. Maria (1%) (Fig. 4F).
3.3 Access to various community services
Access to credit
The majority of the respondents have access to financial credit, with 83% of women in Malita, 68% in Don Marcelino, 65% in Lupon, 64% in Sta. Maria, 60% in Davao City, and 45% in Governor Generoso having this access (Fig. 4A). Financial credit access was 100% in the form of cash in Lupon, 91% in Davao City, 79% in Governor Generoso, and 55% in both Malita and Don Marcelino, and only 28% in Sta. Maria; other forms of credit access are material kinds found in Sta. Maria (50%), in Don Marcelino (45%), in Malita (40%), in Governor Generoso (21%), and in Davao City (9%). While both cash and “in-kind” were available to respondents in Sta. Maria (20%) and in Malita (5%) (see Fig. 4B). They usually spend the money borrowed to buy fishing equipment (52%), food for their household (20%), other domestic expenses (14%) e.g., house repair, children’s education, and medical bills of the respondents.
Access to extension services
Extension services are defined as technical knowledge (e.g., seminars on financial matters, credit access, training on new methods of production) and material donations provided by the government and non-government organizations to farmers and fishers. Technical assistance and capacity building can either be received well or poorly depending on how the community and beneficiaries view intervention. The majority of respondents from the study sites of Lupon (62%), Don Marcelino (62%), and Malita (54%) have access to extension services (Fig. 4C). These were both in-kind or material donations from fishing boats to fishing gear and technical seminars on fishing, health, or livelihoods.
Membership to a community organization
Membership to community organizations is one way for the government or other NGOs to provide fishing communities with technical assistance or support when they cannot give it to individuals directly. When respondents were asked about their membership to fishing cooperatives, sadly, the majority of them were not members of any fishing organization, with 90% in Governor Generoso and Malita, 86% in Sta. Maria, 73% in Davao City, and 63% in both Lupon and Don Marcelino (Fig. 4D).
Access to information, e.g., awareness on open and closed fishing season
Seventy-eight percent of respondents agree on the open and closed fishing season policy. Among all respondents, there were 92% in Sta. Maria, 82% in Lupon and 62% in Governor Generoso who were aware of the implementation of the open and closed fishing season while in Davao City and Don Marcelino 68%, and Malita 66% of the respondents were not aware (Fig. 4E).
Support for the implementation of the closed fishing season policy
Women were asked if they support the implementation of the closed fishing season policy and a majority of them approved the policy (78%). Some of the respondents have mentioned that as a citizen they ought to follow the law for the reason that “fish will lay their eggs during the Habagat months from June to October. The other respondents (22%) who said no to the implementation of the closed fishing season mentioned that they have no other source of income apart from fishing (Fig. 4F).
Results of the principal component analysis (PCA) for variable reduction where the different variables were reduced to find how they may influence the decision of women to support the closed fishing season show that in the fisheries-related variables, the variables, proportion of catch sold (0.639), boat ownership (0.488) and belonging to a family of fisher (0.428) have high positive loadings. In addition, for the variables related to access, credit access (0.652), and membership to community organizations (0.599), they also contribute highly and positively, but for the factor loadings of the sociodemographic variables of age (-0.647) and a number of years in the community (-0.614), they contribute highly but on the opposite direction (negative). The factor scores from the PCA analyses were then used for the subsequent binary logistic regression analysis.
The result of the logistic regression on whether women support the conservation policy of closed fishing season or not show that it was significantly influenced by fisheries related variales for instance, proportion of catch sold, boat ownership, boat fish hold capacity and belonging to a family of fishers. For the aspect of access to services which includes financial services, extension services, awareness, and membership to community organizations, this was not significant [B=-0.025 (S.E.=0.183), Wald = 0.19 df = 1, P = .890]. However, for the fisheries factors, this was significant [B = 0.459 (S.E.=0.188), Wald = 5.928 df = 1, p = .015] mainly by the proportion of catch sold and belonging to a fisher family. The constant term was also highly significant [B = 1.330 (S.E.=0.216), Wald = 37.85 df = 1, p = .0001]. However, there was no significant influence of the variables from the sociodemographic factors with regards to influencing women respondents in terms of their support for the closed fishing season [B = 0.036 (S.E.=0.158), Wald = 0.051 df = 1, p = .822]. The resulting equation from the regression was used to calculate the probability of different variables on whether respondents support the closed fishing season or not and is shown in Fig. 5. The age of respondents and the number of years in the community have a common pattern as shown in Fig. 5A and 5B, which shows a higher tendency for younger respondents to support the fishing season policy with a range from 0.5 to 0.9 probability, while older respondents almost invariably support the closed fishing season policy at 0.7 to 0.9 probability. On the other hand, those with smaller household sizes have a higher tendency not to support the closed fishing season compared to those who were very dependent on the fisheries, like 6–9 household sizes and greater than nine household sizes (Fig. 5C). In addition, those with better education, like high school graduates and college graduates, have better support for the closed fishing season (Fig. 5D). Also, those who sell all their fish catch have higher support for the closed fishing season than those who sell less (Fig. 5E). Moreover, those who own a boat and have received previous extension services are supportive of the closed fishing season, as well as those who did not come from a fisher family background (Fig. 5F).
3.4 Daily activities of women (FGD)
Based on the data gathered during the focus groups on women’s daily activities within their households, these are domestic in nature, e.g., cooking, gathering water, house cleaning, and doing laundry. The fisheries-related activities included repairing damaged nets that generated an income of Php 700-Php 1,000.00 (U$14.44–20.62 U$) per week, distributing their husband’s catch to “suki” or favored buyers, which generated Php 800 to Php 3,500 (U$16.50–72.50 U$) per week. In addition, other activities such as drying fish, selling the product, and trading generated Php 700.00- Php 5,000.00 per week (U$14.44-103.11 U$). For non-fishing-related activities, women reported engaging in farming vegetables, and banana and coconut which they harvested every week for an extra income of approximately Php 70.00-Php 500.00 (U$1.44–10.31 U$) per week.
3.5 Challenges faced by women in the fisheries (FGD)
The respondents were then asked to reveal problems they had faced in the Davao Gulf. The responses included an inadequate source of income, sea wall construction, which displaced the fishers’ landing sites, and the low selling price of gleaned seashells and seaweed. Other problems included boat engines that need repairs or replacements, especially after encountering big waves from October to March during the northeast monsoon. Women respondents have expressed their primary needs as financial seed capital for fishing expenses or the replacement of worn-out fishing gear like nets, nylons, and hooks.
Most of the respondents suggested solutions to address these commonly encountered problems. Leading suggestions included developing facilities and infrastructure, such as creating a cold storage area and establishing community vessel landing centers. They also emphasized needing training programs that could help women diversify their livelihoods, such as cooking classes, dressmaking, baking, handicrafts, raising pigs and goats, small businesses, and fish processing.