Dynamic use of remittances and its benefit on rural migrant households: insights from rural West Bengal, India

GeoJournal ◽  
2022 ◽  
Author(s):  
Manoj Debnath ◽  
Debendra Kumar Nayak
2018 ◽  
Vol 3 (2) ◽  
pp. 151-176
Author(s):  
Özcan Dağdemir ◽  
Zeki Kartal ◽  
Rukiye Tinas ◽  
Hüseyin Gürbüz

This article aims to explain the impact of migration from Emirdağ − a rural migrant area in Turkey − on poverty and income distribution in the district center and 53 villages. We used the household data in this research, knowing that international remittances are the most important source of income after agriculture in the region. Data were collected from 2841 migrant and non-migrant sample in 1686 households. The differences in the economic conditions of households impacted by migration and remittances were evaluated in reference to their pre-migration status. Migration preferences of households, preferences in the use of remittances and skills in making use of the opportunities brought by migration were determined to be the main variables that influence poverty and income distribution in the district and its villages. The data showed that migration increased the probability that an increase occurs in the income of poor migrant households. Migration also increased the probability that high-income non-migrant households that were not able to make use of the indirect migration opportunities lost income. Migration and remittances are likely to decrease poverty and improve income distribution in favour of middle-income households.


2015 ◽  
Vol 40 (1) ◽  
pp. 12-17
Author(s):  
Yina Zhang ◽  
Jie Chen

Using the latest census data (2010), this paper investigates housing poverty conditions in Shanghai, the largest city in China. The data shows that a large fraction of Shanghai households are still living in excessively over-crowded housing. Meanwhile, the incidence ratio of housing poverty among migrants is more than five times than among natives. In particular, 45% of rural migrant households were living in housing poverty. Poverty decomposition analysis shows that approximately 70% of total housing poverty in Shanghai is attributable to rural migrants. Our finding is supported by estimating the multidimensional poverty index (MPI). The findings in this paper have significant implications to general housing policy making in urban China.


Planta Medica ◽  
2007 ◽  
Vol 73 (09) ◽  
Author(s):  
M Gangopadhyay ◽  
R Bhattacharya ◽  
D Chakraborty ◽  
S Bhattacharya ◽  
A Mitra ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
pp. 60-69 ◽  
Author(s):  
Pijush Basak

The South West Monsoon rainfall data of the meteorological subdivision number 6 of India enclosing Gangetic West Bengal is shown to be decomposable into eight empirical time series, namely Intrinsic Mode Functions. This leads one to identify the first empirical mode as a nonlinear part and the remaining modes as the linear part of the data. The nonlinear part is modeled with the technique Neural Network based Generalized Regression Neural Network model technique whereas the linear part is sensibly modeled through simple regression method. The different Intrinsic modes as verified are well connected with relevant atmospheric features, namely, El Nino, Quasi-biennial Oscillation, Sunspot cycle and others. It is observed that the proposed model explains around 75% of inter annual variability (IAV) of the rainfall series of Gangetic West Bengal. The model is efficient in statistical forecasting of South West Monsoon rainfall in the region as verified from independent part of the real data. The statistical forecasts of SWM rainfall for GWB for the years 2012 and 2013 are108.71 cm and 126.21 cm respectively, where as corresponding to the actual rainfall of 93.19 cm 115.20 cm respectively which are within one standard deviation of mean rainfall.


1949 ◽  
Vol 18 (15) ◽  
pp. 178-179
Author(s):  
Richard L. Park
Keyword(s):  

Asian Survey ◽  
1979 ◽  
Vol 19 (7) ◽  
pp. 718-727 ◽  
Author(s):  
Jnanabrata Bhattacharyya
Keyword(s):  

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