Subhash Barman - Academia.edu (original) (raw)

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Papers by Subhash Barman

Research paper thumbnail of Parental Education, Parental Death, Poverty and Socio-economic Impact on School Attendance Status of Children in India

Research paper thumbnail of Socio-Economic and Demographic Impact on Child Labour in India

The government of India aims at abolishing child labour along with several measures to prevent it... more The government of India aims at abolishing child labour along with several measures to prevent its existence. There is still around 10 per cent child labour among the total workforce at the national level. This study explores the impact socio-economic and demographic predictor variables on likelihood of work participation of the children aged 10-14 years in India and four groups of states. The analysis of the study is based on work participation rate of the children by different characteristics to National Family Health Survey (NFHS) 3 data and Census of India 2001 data. The study also applies logistic regression model to NFHS 3 data. Proportion of child labour is higher in rural areas and it is higher among females. As expected the proportion of child labour is high among the poor households and among socio-economically backward communities.

Research paper thumbnail of Socio-Economic Status of the Scheduled Castes, Scheduled Tribes and Other Backward Classes in India

Contemporary Voice of Dalit

Research paper thumbnail of Role of the Elected Panchayat Samity Members in National Health and Family Welfare Programs: A Case Study

The Qualitative Report, 2009

The experiment in economic and political decentralization was introduced in the late seventies in... more The experiment in economic and political decentralization was introduced in the late seventies in the Indian state of West Bengal. West Bengal is predominantly rural with 72 percent of its population living in villages. Being the most populous state in India, its ...

Research paper thumbnail of Socio-economic and Demographic Determinants of Unmet Need for Family Planning in India and its Consequences

Research on Humanities and Social Sciences, 2013

Objective of this study is to investigate the likelihood of unmet need for family planning in Ind... more Objective of this study is to investigate the likelihood of unmet need for family planning in Indian states by some socioeconomic and demographic characteristics among the currently married women aged 20-39 years. To find out the differentials of unmet need for contraceptive use, Logistic regression technique is applied to National Family Health Survey (NFHS 3) data. Of the socioeconomic and demographic variables, number of living children, ethnicity, wealth status of household, media exposure, occupation of the respondents, child death experience, sex composition of children are found to be significantly effective in determining unmet need for contraception of the currently married women. The results of the study show that unmet need for family contraception is more in the EAG states as compared to the South Indian and rest Indian states

Research paper thumbnail of Parental Education, Parental Death, Poverty and Socio-economic Impact on School Attendance Status of Children in India

Research paper thumbnail of Socio-Economic and Demographic Impact on Child Labour in India

The government of India aims at abolishing child labour along with several measures to prevent it... more The government of India aims at abolishing child labour along with several measures to prevent its existence. There is still around 10 per cent child labour among the total workforce at the national level. This study explores the impact socio-economic and demographic predictor variables on likelihood of work participation of the children aged 10-14 years in India and four groups of states. The analysis of the study is based on work participation rate of the children by different characteristics to National Family Health Survey (NFHS) 3 data and Census of India 2001 data. The study also applies logistic regression model to NFHS 3 data. Proportion of child labour is higher in rural areas and it is higher among females. As expected the proportion of child labour is high among the poor households and among socio-economically backward communities.

Research paper thumbnail of Socio-Economic Status of the Scheduled Castes, Scheduled Tribes and Other Backward Classes in India

Contemporary Voice of Dalit

Research paper thumbnail of Role of the Elected Panchayat Samity Members in National Health and Family Welfare Programs: A Case Study

The Qualitative Report, 2009

The experiment in economic and political decentralization was introduced in the late seventies in... more The experiment in economic and political decentralization was introduced in the late seventies in the Indian state of West Bengal. West Bengal is predominantly rural with 72 percent of its population living in villages. Being the most populous state in India, its ...

Research paper thumbnail of Socio-economic and Demographic Determinants of Unmet Need for Family Planning in India and its Consequences

Research on Humanities and Social Sciences, 2013

Objective of this study is to investigate the likelihood of unmet need for family planning in Ind... more Objective of this study is to investigate the likelihood of unmet need for family planning in Indian states by some socioeconomic and demographic characteristics among the currently married women aged 20-39 years. To find out the differentials of unmet need for contraceptive use, Logistic regression technique is applied to National Family Health Survey (NFHS 3) data. Of the socioeconomic and demographic variables, number of living children, ethnicity, wealth status of household, media exposure, occupation of the respondents, child death experience, sex composition of children are found to be significantly effective in determining unmet need for contraception of the currently married women. The results of the study show that unmet need for family contraception is more in the EAG states as compared to the South Indian and rest Indian states

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