Logit analysis of socio-economic factors influencing people to become fishermen in the central region of Ghana

Abstract

This study analyzes the socio-economic factors that influence people’s decision to become fishermen in the central region of Ghana. Using a well structured interview schedule, a random sample of 98 people from Elmina in the central region of Ghana was selected for the study. Results from the descriptive statistics analysis of respondents identified fishing as a family business, minimum skills requirement and ready market for fish demand as factors that motivated majority of the people into fishing. Lack of storage facilities, access to credit, lack of government assistance and unpredictable changes in weather conditions on sea were the main constraints to fishing activities. Results from the logistic regression model indicated that household size and access to credit were significant factors that positively influenced people’s decision to become fishermen. The regression analysis further revealed that engaging in other income generating activity and being educated significantly reduces the probability to start fishing business

Estimation Comparison of Small-Scale Fisherman Decision on Choice Fishing Gear and Outboard Engine Power

“…The small-scale fishing age in the West coast coastal area of Barru district has no significant effect on the decision of fishermen in selecting fishing gears and outboard engine power. This is in contrast to the findings by Acquah and Abunyuwah (2011) finding that the decision of the community to be a fisherman in the central Elmina Region of ghana that the respondent age, marital status and monthly income variables have no significant effect.…”

“…Variable of fishermen's age has not significant effect on the fishermen decisions in selecting fishing gears. A similar fishermen decision has been reported in Elmina Ghana (Acquah and Abunyuwah, 2011). Another case by Sudarmo et al (2015) finding found that fishing seasons, fuel use, ice availability and equipment significantly affected the development of fishing operations using arad nets in Tegal district while the size of fishing gear, clean water use and crew did not significantly affect.…”

“…At an international, intergovernmental level also conventions, accords and strategic policy development in diverse themes are also increasingly embracing or even targeting small-scale fisheries and their dependent communities (FAO., 2016). Research on decisions analysis of fishermen has been extensively researched in several countries as investigated by Eales and Wilen (1986) in Northern California, Lane (1988) in British Columbia, Mistiaen and Strand (2000) in North Atlantic, Pradhan and Leung (2004) in Hawaii, Matiya et al (2005) in Phipilina, Acquah and Abunyuwah (2011) in Ghana, Lopes and Begossi (2011) in Brazil, Saul and Die (2016) in West Coast of Florida. However, in the findings have not discussed the estimation comparison of small-scale fishermen decision in selecting fishing gear and outboard machine.…”

Factors influencing willingness to pay for wetland ecosystems conservation: a contingent valuation study of lake Victoria Ecosystem in Kenya

“…Furthermore, a resident over the age of 40 was 1.829 times more likely to pay than a resident under the age of 40. A previous study conducted by (Acquah and Abunyuwah, 2011) in Ghana, also obtained a similar finding. Finally, when all other characteristics were held constant, the results revealed that a resident with a diploma was the most likely to pay (5.089) compared to others.…”

Empirical Determinants of Traders Access to Credit in Ghana: Does Educational Literacy Level Matter?

“…However, to the best of the researcher's knowledge, the emphasis has mainly been on access to credit by: vegetable growers, farmers (rice farmers and cocoa farmers) and Fishermen (see for example Denkyirah et al, 2016;Adams, 2015;Abunyuwah et al, 2013;Acquah & Abunyuwah, 2011;Ackah & Vuvor, 2011;Avortri et al, 2013;Akudugu et al, 2009). The following researchers have made enormous contributions in the field pertaining to access to credit by SMES (small and medium scale enterprises) in Ghana but not on study specific such as traders, farmers and fishermen's etc.…”