The importance of combining various methods in assessing poverty level: The case of marine capture fishermen in Bengkulu Province, Indonesia

Title: The importance of combining various methods in assessing poverty level: The case of marine capture fishermen in Bengkulu Province, Indonesia
Issue: Vol. 12, No 2, 2019
Published date: 05-2019 (print) / 05-2019 (online)
Journal: Journal of International Studies
ISSN: 2071-8330, eISSN: 2306-3483
Authors: Gita Mulyasari
Department of Agricultural Socio-Economics, Faculty of Agriculture, Universitas Bengkulu, Indonesia

Irham Irham
Faculty of Agriculture, Universitas Gadjah Mada (UGM), Indonesia

Lestari Rahayu Waluyati
Faculty of Agriculture, Universitas Gadjah Mada (UGM), Indonesia

Any Suryantini
Faculty of Agriculture, Universitas Gadjah Mada (UGM), Indonesia
Keywords: poverty line, multidimensional poverty, marine capture fishermen
DOI: 10.14254/2071-8330.2019/12-2/15
Language: English
Pages: 241-257 (17)
JEL classification: A13, C40, D63, Q22
This article was written as a part of dissertation research entitled “Poverty and Vulnerability of Marine Capture Fishermen to Climate Change and Its Adaptation Strategies in the Coastal Regions of Java and Sumatra”. The authors also gratefully acknowledge the financial support of the Ministry of Research, Technology and Higher Education (Kemristekdikti) together with the Education Fund Management Institute (LPDP) Indonesia. The views expressed in this paper are those of the authors and should not be attributed to the Indonesian Government.

The measurement of poverty can be analyzed by various methods and each method has its own advantages and disadvantages. The single dimensional model has a weakness since it only measures poverty in its monetary aspect, as income, while multidimensional method measures poverty by considering various dimensions but excluding the income aspect. Furthermore, it is important to combine both models so that the measurement of poverty could be more comprehensive. The study describes the method of poverty measurement by using: 1) single dimension poverty measurement, promoted by the Asian Development Bank (ADB), the World Bank, Food and Agriculture Organization (FAO); 2) Multidimensional poverty measurement, promoted by the Central Bureau of Statistics (BPS), and Multidimensional Poverty Index (MPI) by Alkire and Foster. The study was conducted in Bengkulu Province, Indonesia, and the data was collected by means of interviewing 90 marine capture fishermen, randomly selected. The results of this study show that each poverty measurement gives a difference in the poverty level of fishermen because it is not able to describe the actual condition of fishermen's poverty. By combining both models, it is found that fishermen's poverty is affected by ship weight, fishing distance, and household size.


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