Scientific Papers

JOURNAL OF INTERNATIONAL STUDIES


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ISSN: 2306-3483 (Online), 2071-8330 (Print)

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

Vol. 12, No 2, 2019

 

Gita Mulyasari

 

Department of Agricultural Socio-Economics, Faculty of Agriculture, Universitas Bengkulu,

Indonesia

gita.mulyasari@unib.ac.id

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

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


 

 

 

 

 

 

 

Abstract. 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.

 

 

Received: October, 2018

1st Revision: December, 2018

Accepted: May, 2019

 

DOI: 10.14254/2071-8330.2019/12-2/15

 

JEL ClassificationA13, C40, D63, Q22

Keywordspoverty line, multidimensional poverty, marine capture fishermen