Fishing contributions to the household income in Mafia District, Tanzania

##plugins.themes.bootstrap3.article.main##

ANTHONIA MPEMBA
FELISTER M. MOMBO

Abstract

Abstract. Mpemba A, Mombo FM. 2019. Fishing contributions to the household income in Mafia District, Tanzania. Ocean Life 3: 74-85. The fishing sector is responsible for providing critical income for many families within fishing communities. Fishing activities explain the levels of income which, in the end, indicate whether a given fishing household is benefiting. This study was undertaken to assess the contribution of fishing to household income in Mafia District, Tanzania. The data were collected from randomly sampled 120 household heads using several methods such as questionnaire survey, Focus Group Discussions (FGD), checklist and field observation. The collected data were analyzed using inferential statistics, descriptive statistics, and content analysis. A box plot was used to establish the significant relationship between household income contributions from fishing and other economic activities. In addition, content analysis was used in the analysis of qualitative data. The results revealed that several economic activities are conducted in the study area, where 41.47% of respondents indicated that fishing is the major economic activity in their households. The results showed that average household incomes from conducting fishing alone as the main economic activity was 51,250 TZS, fish-related activities were 15,000 TZS and other economic activities were 5,000 TZS per day. Since the study has revealed that fishing contributes to higher income in the household than other activities, therefore the study recommends that most of the households in the study area do not have access to credit for improving their activities, especially fishing the government should provide improved fishing gears for fishers with a low-interest rate.

2017-01-01

##plugins.themes.bootstrap3.article.details##

References
Amu-Mensah M, Amu-Mensah FK, Obirih-Opareh N. 2014. Perspective of the economy situation in the fishing industry of the Volta Basin in Ghana: Case study of Dzemeni and Kpando-Torkor. Soc Mind 4: 93-106. DOI: 10.4236/sm.2014.42012.
Anon. 2005. Indian Ocean Tuna Fisheries Data Summary, 1993-2002, IOTC, Data Summary No. 24.
Babbie E. 1993. The Practice of Social Research (7thEd.). Wadsworth Publishing Company, Belmont.
Béné C. 2003. When fishery rhymes with poverty: A first step beyond the old paradigm on poverty in small-scale fisheries. World Dev 31 (6): 949-975. DOI: 10.1016/S0305-750X(03)00045-7.
Bennett E. 2005. Gender, fisheries and development. Mar Policy 29 (5): 451-459. DOI: 10.1016/j.marpol.2004.07.003.
Bilame O. 2012. Contribution of Lake Victoria Small-scale Fisheries to Poverty Alleviation: A Case Study of Tanzania Small-scale Fisheries. Department of Economics, St. Augustine University of Tanzania, Mwanza, David Publisher, Tanzania.
Canbäck S, Samouel P, Price D. 2006. Do diseconomies of scale impact firm size and performance? A theoretical and empirical overview. J Manag Econ 4 (1): 27-70.
Costello AB, Osborne JW. 2005. Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Pract Assess Res Evaluation 10: 7. DOI: 10.7275/jyj1-4868.
FAO. 2005. Increasing the Contribution of Small-Scale Fisheries to Poverty Alleviation and Food Security. Technical Guidelines for Responsible Fisheries, Rome.
FAO. 2008. Marine Fisheries. A Technical Body of the African Union.[www.fao.org/3/a- i3720e.pdf] site visited on16/03/2016.
FAO. 2012. Statistics and Information Service of the Fisheries and Aquaculture Department. 2010/FAO yearbook. Fishery and Aquaculture Statistics, Rome.
FAO. 2014. Food and Agriculture Organization of the United Nations. The State of World Fisheries and Aquaculture Opportunities and Challenges, Rome.
Fröcklin S, de la Torre-Castro M, Lindström L, Jiddawi NS. 2013. Fishtraders as key actors in ?sheries: Gender and adaptive management. Ambio 42 (8): 951-962. DOI: 10.1007/s13280-013-0451-1.
Garoma D, Admassie A, Ayele G, Beyene F. 2013. Analysis of determinants of gross margin income generated through fishing activity to rural households around Lake Ziway and Langano in Ethiopia. Agric Sci 4: 595-607. DOI: 10.4236/as.2013.411080.
George D, Mallery P. 2010. SPSS for Windows Step by Step A Simple Guide and Reference 17.0 Update. 10th Edition, Pearson, Boston.
Hoppe R. 2002. Cultures of public policy problems. J Comp Policy Anal 4: 305-326. DOI: 10.1080/13876980208412685.
Hosseini SMS, Paighambari SY, Pouladi M, Shabani MJ. 2018. Estimation of CPUE and CPUA of three caught fish by bottom trawler in the Motaf fishing grounds, Bushehr Province, Persian Gulf, Iran. Biodiversitas 19: 1434-1440. DOI: 10.13057/biodiv/d190433.
Inoni OE, Oyaide WJ. 2007. Socio-economic analysis of artisanal fishing in the south agro-ecological cone of Delta State, Nigeria. Agric Trop Et SubTrop 40 (4): 135-149.
Jabri O, Collins R, Sun X, Omezzine A, Belwal R. 2014. Determinants of Small-scale fishermen’s income on Oman’s Batinah Coast. Mar Fish Rev 75 (3): 21-32. DOI: 10.7755/MFR.75.3.3.
Jeyarajah S, Santhirasegaram S. 2015. Socio economic factors influencing marine small scale fishers’ income in the Batticaloa District of Sri Lanka. Intl J Humanit Soc Stud 3 (1): 75-79.
Kamukuru AT. 2003. Effects of Fishing on Growth and Reproduction of Black Spot Snapper, Lutjanus fulviflamma (Pisces: Lutjanidae) in Shallow Waters of Mafia Island, Tanzania. [PhD Thesis]. University of Dar es Salaam, Tanzania. DOI: 10.1111/j.0141-6707.2004.00487.x.
McClanahan RT. 1988. Seasonality in East Africa's coastal waters. Mar Ecol Prog Ser 44: 191-199. DOI: 10.3354/meps044191.
McClanahan TR, Cinner J, Kamukuru AT, Abunge C, Ndagala J. 2009. Management preferences, perceived benefits and conflicts among resource users and managers in the Mafia Island Marine Park, Tanzania. Environ Conserv 35: 340-350. DOI: 10.1017/S0376892908005250.
Millennium Challenge Account Tanzania (MCAT). 2008. Strategic Environmental Assessment of Mafia Island Final report volume I.Incollaboration with: The Institute of Resource Assessment (IRA), University of Dar es Salaam, Tanzania International Union for Conservation of Nature (IUCN), Tanzania Country Office, Dar es Salaam November 25, 2008.
Ministry of Livestock and Fisheries Development (MLFD). 2010. Fisheries Sector Development Programme. Dar es Salaam, December 2010.ivpp, Tanzania.
Ministry of Livestock and Fisheries Development (MLFD). 2014. Fisheries Development Division Dares Salaam. Fisheries Annual Statistics Report, Dar es Salaam, Tanzania.
NACE. 2008. Classification of economic activities rev.1.1commission Regulation (EC) No 29/2002 of 19 December 2001 amending Council Regulation (EEC) No3037/90 on the statistical classification of economic activities in the European Community (OJ No L 293, 24.10.1990, p. 1) as amended by Commission . 1977-0375.
Neuendorf KA. 2002. The Content Analysis, Guidebook. SAGE Publications, Inc., Thousand Oaks, California.
Ninnes C. 2004. Improving the collection, analysis, and dissemination of in- formation in small-scale ?sheries: FAO, Advisory Committee on Fisheries Research-Working Party on Small-Scale Fisheries 18-21 November 2003, Bangkok, Thailand.
Nishantha B. 2011. Determinants of Employment Growth in Small Enterprises in Sri Lanka: A Causal Analysis. November 2011.
Ogundiwin DI. 2014. Survey of Artisanal Fishing Gear and Craft. Faculty of Bioscience, Fisheries and Economics. [Master Thesis]. Kainji Lake Lower Basin, Nigeria.
Planning Commission President’s Office. 2012. The Tanzania Long-Term Perspective Plan (Ltpp). The Roadmap to a middle-Income Country. Government Printers, Dar es Salaam, Tanzania.
Priya VS, Sreeranganadhan K. 2014. Influence of Social and Economic Problems on the Educational Development of Fishermen Community in Kerala. 3rd International HR Conference. Department of Human Resource Management, University of Sri Jayewardenepura, 8 October 2016.
Shapiro SS, Wilk MB. 1965. An analysis of variance test for normality (Complete sample). Biometrica 52 (3/4): 591-611. DOI: 10.1093/biomet/52.3-4.591.
Silva P. 2006. Exploring the linkages between poverty, marine protected area management, and the use of destructive fishing gear in Tanzania. DOI: 10.1596/1813-9450-3831.
Singleton RI, Straits BC, Straits MM. 1993. Approaches to social research. Second Edition. Oxford University Press, New York.
Sobo FS. 2012. Community participation in fisheries management in Tanzania. IIFET Tanzania Proceedings 1-11.
United Republic of Tanzania (URT). 2012. Population and Housing Census of 2012, population distribution by administrative areas. National Bureau of Statistics, Dar es Salaam, Tanzania.
United Republic of Tanzania (URT). 2013. National Bureau of Statistics, Ministry of Finance June, 2013. Tanzania.
Vieira NC, Moraes SC, Nunes ZMP. 2013. A study of fishing and educational level of young fishers on the Bonifácio village, Bragança, Pará, Northern coast of Brazil. Bol Inst Pesca Sãopaulo 39 (2): 195- 204.
Williams SB. 2002. Making each and every African fisher count: Women do fish. In: Williams MJ (eds.). Global Symposium on Women in Fisheries. World Fish Center, Manila.
World Bank. 2012. Hidden Harvest: The Global Contribution of Capture Fisheries. Washington DC, US.
Yaakob O, Chau PQ. 2005. Weather downtime and its effect on fishing operation in peninsular Malaysia. J Teknologi 42: 13-26.
Yong AG, Pearce S. 2013. A beginner’s guide to factor analysis: Focusing on exploratory factor analysis. Tutor Quant Methods Psychol 9 (2): 79-94. DOI: 10.20982/tqmp.09.2.p079.
Yuerlita K, Sylvain RP. 2010. Livelihood features of small-scale fishing communities: A case from Singkarak Lake, West-Sumatra, Indonesia. Intl J Environ Rural Dev 1 (2): 94-101.
Yurdugul H. 2008. Minimum sample size for cronbach’s coefficient alpha. J Educ 35: 39-40.