Micro-Level Determinants of Livelihood Diversification in The Rural Areas of Tinsukia District of India
Parswa Jyoti Neog1, Pranjal Protim Buragohain2

1Parswa Jyoti Neog*, M.Phil. Research Scholar, Department of Economics, Dibrugarh University, Assam, India.
2Dr. Pranjal Protim Buragohain, Associate Professor, Department of Economics, Dibrugarh University, Assam, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 26, 2020. | Manuscript published on March 30, 2020. | PP: 4927-4931 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9002038620/2020©BEIESP | DOI: 10.35940/ijrte.F9002.038620

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Livelihood diversification is a strategy to avoid the risk associated with shocks and to improve livelihood security. Different socio-economic and demographic factors influence the decision of livelihood diversification of households. An attempt has been made in this paper to identify the determinants of livelihood diversification of the rural people using primary data collected from 255 households of Tinsukia, one of the remote districts of India. This study, by employing the logistic regression model reveals that, at less than 10 percent probability level among 11 variables, six variables namely Age of the household Head (AGEH), Type of the Family (FAMILYT) Size of the Family (FAMILYS), Monthly Per Capita Income (MPCI), Access to Credit (CREDIT) and remittance (REMIT) are significant determinant of livelihood diversification. This study will help to formulate proper development policies on the part of various concerned authorities for supporting diversification in the rural areas.
Keywords: Demographic Factors, Diversification, Livelihood, Livelihood Security, Logistic Regression.
Scope of the Article: Service level agreements (drafting, negotiation, monitoring and management).