scholarly journals A Probe into Rural Households’ Food Accessibility Scenario: A Micro Level Study in West Bengal

2018 ◽  
Vol 63 (4) ◽  
Author(s):  
Shibani Bagchi
2017 ◽  
Vol 6 (2) ◽  
pp. 37-50
Author(s):  
Sebak Kumar Jana ◽  
Mamataj Uddin Ahmed ◽  
Katja Heubach

Non-Timber Forest Products (NTFPs) are an important source for livelihoods for a significant portion of rural populations all over the world. The present study explores the dependence of rural households on forests managed under Joint Forest Management (JFM) in the state of West Bengal in India. Using primary data collected from 300 households from 57 Forest Protection Committees (FPCs) in the dryland areas of two districts of West Bengal in India, authors compare households' income levels across regions and investigate disparities between income groups, with particular emphasis on income from NTFPs. The study reveals that households in forest-fringe areas are highly dependent on forests in maintaining their livelihoods. The results show that dependency of household on NTFPs varies across the regions as well as income groups. Authors also find that dependency of households on NTFPs depend significantly on the factors like number of forest goers, possession of assets, level of education, location and occupational diversification of the households.


2021 ◽  
Vol 18 (3) ◽  
pp. 261-280
Author(s):  
Ruchi Singh ◽  
Uday Salunkhe ◽  
Vaishali Vivek Patil

The exodus of men is the most opted strategy adopted by rural households to diversify income and reduce risks associated with agriculture. Migration plays a very important role in reducing the liquidity and credit constraints of rural households in India. Data shows there are roughly 30 per cent internal migrants in the country. Despite the existence of studies on patterns and determinants of migration in various out-migrating states such as Uttar Pradesh, Bihar, Kerala etc., literature on the same in States with high in-migration are scarce. This article makes an attempt to comprehensively look into patterns and determinants of in-migration in three states. We have used the unit level data on migration (NSSO 64th Round) and tabulated it with suitable statistical techniques. To have a better understanding of determinants of in-migration in the states of Maharashtra, Delhi and West Bengal, a binary logistic regression model have been employed. We found that the majority of male migrants in these states is from within the state and but from different districts. Another interesting finding is that determining factors for migration vary across states. Social group, education, age, monthly expenditure are significant factors in determining migration decisions.


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