Volume 2, Issue 1, February 2017, Page: 37-45
Impact of Socioeconomic Variables on Income, Asset and Debt of Inland Fishers in Tamil Nadu, India
Kalidoss Radhakrishnan, Department of Fisheries Economics and Management, Fisheries College and Research Institute, Thoothukudi, India; Fisheries Economics, Extension and Statistics Division, Central Institute of Fisheries Education, Mumbai, India
J Amali Infantina, Department of Fisheries Economics and Management, Fisheries College and Research Institute, Thoothukudi, India
Rengappan Marimuthu, Department of Fisheries Economics and Management, Fisheries College and Research Institute, Thoothukudi, India
Marimuthu Rajakumar, Department of Fisheries Economics and Management, Fisheries College and Research Institute, Thoothukudi, India
Neha W. Qureshi, Fisheries Economics, Extension and Statistics Division, Central Institute of Fisheries Education, Mumbai, India
Received: Nov. 9, 2016;       Accepted: Dec. 22, 2016;       Published: Jan. 21, 2017
DOI: 10.11648/j.ajere.20170201.15      View  2556      Downloads  147
Abstract
This study was conducted to examine the effect of socioeconomic variable on the asset, debt, and income of the inland fishers during August 2014 to May 2015. A total of 140 respondents were selected and data was collected by adapting adopting two-stage random sampling. The data was analyzed by using percent and ratio analysis. A significant variation has been observed among the socio-economic variables such as the age, fishing experiences, type of house and total asset (P>0.05). The young age respondents had a higher income than that those of the middle and old age respondents and they also had higher debt and assets too. The lowest wealth ratio was ₹ 161475 in Periyakulam and the highest ₹307225 in Vaigai. A better mean debt to asset ratio was recorded in Kullapuram of 12.99% than other cooperative society fishers. Finally, this study suggests that, to report the status of folks we need to account the income after deduction of debt.
Keywords
Socioeconomic, Income Percentile, Wealth Ratio, Debt-Income Ratio, Cooperative Society
To cite this article
Kalidoss Radhakrishnan, J Amali Infantina, Rengappan Marimuthu, Marimuthu Rajakumar, Neha W. Qureshi, Impact of Socioeconomic Variables on Income, Asset and Debt of Inland Fishers in Tamil Nadu, India, American Journal of Environmental and Resource Economics. Vol. 2, No. 1, 2017, pp. 37-45. doi: 10.11648/j.ajere.20170201.15
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
S. Austen, T. Jefferson, R. Ong, “Gender comparisons of asset and debt portfolios in Australia,” In 39th Australian Conference of Economists, Sydney, NSW. 2010.
[2]
B. Bate, M. Botha, S. Botha, S. Goodman, W. ladzani, C. De Vries, L. De Vries, M. November and L. Southey. “Business management fresh perspective,” Maskew Miller Longman, South Africa.
[3]
S. R. Baker, “Debt and the consumption response to household income shocks,” Kellogg, mimeo.
[4]
J. Davis, and P. Willen, “Occupation-level income shocks and asset returns: their covariance and implications for portfolio choice (No. w7905),” Quart. J. of Fin, vol. 3, pp 1350011-1-1, 2000.
[5]
K. E. Dynan, “Changing household financial opportunities and economic security,” J. Econ. Perspect., vol 23, pp. 49–68, 2009
[6]
C. R. Engle, “Assessing the Financial Position of an Aquaculture Business: Using Balance Sheets,” SRAC Publication No. 4401. Southern Regional Aquaculture Center, 2012
[7]
FAO, “Reducing fisher folk’s vulnerability lead to responsible fisheries policies to support livelihood and resource management,” Food and Agricultural Organization of the United States. Rome p. 2-12
[8]
G. M. N. Islam, N. M. R. Abdullah, K. K. Viswanathan, T. S. Yew, “Augmenting fishers’ welfare and livelihood assets through community-based management in Bangladesh” [11th Biennial Confer. of the International Association for the Study of Common Property. Bali, Indonesia, pp. 1-15, 2006]
[9]
G. J. Kalita, P. K. Sarma, P. G. S. Rout, “Socio-economic status of fishermen and different fishing gear used in Beki River, Barpeta, Assam,” J. Entomol. Zool. Stud., vol 3, pp. 193-198, 2005
[10]
M. K. Kumari, S. P. Kumari, “Production Analysis of Inland Fish in Angul District of Odisha,” IOSR-JEF, vol 3, pp. 38-42, 2014.
[11]
S. K. Kundu, “Inland is fishing activities in Kumarganj block of Dakshin Dinajpur District,” J Interacademicia, vol 15, pp. 648-656, 2011.
[12]
P. Taylor, R. Kochhar, R. Fry, G. Velasco, S. Motel. Wealth gaps rise to record highs between whites, blacks, and Hispanics (Vol. 26). Pew Research Center, Washington, DC, 2011
[13]
R. I. Lerman, “Are Low-Income Households Accumulating Assets and Avoiding Unhealthy Debt? Opportunities and Ownership Project, The Urban Institute, Washington, DC, 2005.
[14]
J. McPeak “Contrasting income shocks with asset shocks: livestock sales in northern Kenya,” Oxf Econ Pap., vol 56, pp. 263-284, 2004.
[15]
D. K. Pandey, A. D. Upadhayay, “Socio-Economic Profile of Fish Farmers of an Adopted Model Aquaculture Village: Kulubari, West Tripura,” Indian Res. J. Ext. Edu., vol II, pp. 55-58, 2012.
[16]
Poverty Center. “Credit and Debt: Issues and Opportunities for Low-income Households,” University of Washington, West Coast, 2014.
[17]
M. Ravallion, “Does aggregation hide the harmful effects of inequality on growth?,”. ‎Econ. Lett., vol 61, pp. 73-77, 1998.
[18]
l. K. Reiakvam, H. Solheim, “Comparison of household debt relative to income across four Nordic countries. Staff Memo No. 5, Norges Bank, 2013.
[19]
P. Ruggles, R. Williams, “Longitudinal measures of poverty: Accounting for income and assets over time,” Rev. Income Wealth., vol 35, pp. 225-243, 1989.
[20]
S. Sierminska, “Indebtedness of households and the cost of debt by household type and income group. Directorate-General for Employment, Social Affairs and Inclusion,” European commission, Brussels, 2014.
[21]
S. X. James, “Welfare Reform and Vehicle Ownership for the Poor: Do Asset Tests and Vehicle Exemptions Matter,” J. Hum. Resour., vol 41, pp. 72-105, 2006.
[22]
S. Uppal, S. LaRochelle-Côté, “Changes in debt and assets of Canadian families, 1999 to 2012”. Insights on Canadian Society. Statistics Canada 2015.
Browse journals by subject