Migrants and non-migrants' welfare on cocoa farms in Ghana: Multidimensional poverty index approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bismark Amfo ◽  
James Osei Mensah ◽  
Robert Aidoo

PurposeThe study assessed welfare of migrant and non-migrant labourers on cocoa farms in Ghana, using multidimensional poverty index (MPI) with four dimensions (education, health, dietary diversity, living standards) and 21 indicators. Specifically, we examined and compared non-monetary welfare of migrant and non-migrant labourers on cocoa farms in Ghana by adopting MPI approach. Also, we explored the factors affecting labourers' welfare.Design/methodology/approachA sample of 400 labourers was used. Qualitative and quantitative data were used. Quantile regression was used to investigate factors affecting labourers' deprivation in the different domains of non-monetary welfare.FindingsLabourers on cocoa farms are generally deprived in all the welfare indicators. Apart from having low education, labourers were underfed and lived under poor conditions. Though both migrants and non-migrants were multidimensionally poor, welfare of the later was higher than the former. Welfare of migrants and non-migrants on cocoa farms are influenced by similar factors: secondary occupation, income, credit accessibility, nature of contract and distance to social amenities.Research limitations/implicationsFor migrants, permanent status improves welfare. To improve labourers' welfare for enhanced productivity, cocoa farmers should provide permanent/long-term contracts for labourers and government should provide social amenities in cocoa-producing communities.Originality/valueMost previous welfare studies focused on farmers, with little attention paid to welfare of labourers on cocoa farms. We examined and compared the factors that affect migrant and non-migrant labourers' welfare on cocoa farms in Ghana. Moreover, we adopted the MPI (non-monetary) approach to assess labourers' welfare, instead of the expenditure and income approaches prevalent in literature.

2019 ◽  
Vol 148 (1) ◽  
pp. 67-103 ◽  
Author(s):  
Mauricio Gallardo

Abstract A method to measure vulnerability to multidimensional poverty is proposed under a mean–risk behaviour approach. We extend the unidimensional downside mean–semideviation measurement of vulnerability to poverty towards the multidimensional space by incorporating this approach into Alkire and Foster’s multidimensional counting framework. The new approach is called the vulnerability to multidimensional poverty index (VMPI), alluding to the fact that it can be used to assess vulnerability to poverty measured by the multidimensional poverty index (MPI). The proposed family of vulnerability indicators can be estimated using cross-sectional data and can include both binary and metric welfare indicators. It is flexible enough to be applied for measuring vulnerability in a wide range of MPI designs, including the Global MPI. An empirical application of the VMPI and its related indicators is illustrated using the official MPI of Chile as the reference poverty measurement. The estimates are performed using the National Socioeconomic Characterisation Survey (CASEN) for the year 2017.


2018 ◽  
Vol 16 (7) ◽  
Author(s):  
Mohd Khairi Ismail ◽  
Chamhuri Siwar ◽  
Rospidah Ghazali

The planning and development of Agropolitan Project in Malaysia began in 2007 and was aimed at eradicating extreme poverty in Malaysia. This study aims to discuss the design and construction of Agropolitan Project in eradicating extreme poverty among its participants. This study uses the Multidimensional Poverty Index (MPI) found in the 11th Malaysian Plan, which includes the dimension of education, health, living standards, and earning. In addition, this study utilizes a survey involving 45 participants of an agropolitan project from Gahai, Lipis,Pahang. The result shows that only 5 of the respondents fall into the multidimensional poverty category, which involves 11.9 percent of the household members. The result of this study shows that the planning and development of Gahai Agropolitan Project, Lipis has succeeded in eradicating extreme poverty among the project participants. Deprivation faced by the respondents based on the MPI analysis can help policy makers in the design and construction of future agropolitan projects.


2019 ◽  
Vol 11 (2) ◽  
pp. 53-60
Author(s):  
Wara Rukmi ◽  
◽  
Ismu Ari ◽  
Anestia Prabandari

Author(s):  
Sabina Alkire ◽  
Mihika Chatterjee ◽  
Adriana Conconi ◽  
Suman Seth ◽  
Ana Vaz

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