Archana Roy - Academia.edu (original) (raw)

Papers by Archana Roy

Research paper thumbnail of The coalition of three f: family, friend and firms; a study on migrant entrepreneurs in Mumbai

International Journal Of Community Medicine And Public Health

Background: The paper examines how family and friends help successfully manage a firm and support... more Background: The paper examines how family and friends help successfully manage a firm and support in entrepreneurial activities. Entrepreneurial activity necessitates long-enduring working hours and often involves financial and emotional hardships. The study explores the collective effect of migrants’ social capital, i.e., family and friend which facilitating labour and finance at new location. Methods: For the present study, the primary survey was conducted in Mumbai from February 2018 to August 2018. A total sample of 540 self-employed migrants operating the business in Mumbai were interviewed.Results: There are distinctive migration network channels in the form of family relatives, kin, friends, co-villager, local acquaintance. Age and marital status have surfaced to be paramount predictors for choosing self-employment. Confounders like bonds among family members, kins, friends and community support play an important in operating the enterprise. Results from logistic regression s...

Research paper thumbnail of Why do migrants transfer money?

Research paper thumbnail of Migration and Urban Transition in India

Research paper thumbnail of Urbanisation in Karnataka: Trend and Spatial Pattern

Karnataka is the seventh largest state in India with 38.67% of urban population as of 2011. With ... more Karnataka is the seventh largest state in India with 38.67% of urban population as of 2011. With 1 out of every 7 people in Karnataka living in Bangalore, it addresses pertinent questions as to how much of this growth is contributed by various regional pockets. This paper aims to identify regional imbalances in urban growth in Karnataka from 1991 to 2011 at the regional, divisional and district level and to examine the distribution of urban population across cities during the same period. It uses secondary data from the Census of India to compute measures of percent urban population, urban rural growth differential (URGD), Gini coefficient/Lorenz curve and primacy index (PI). Results show that Karnataka exhibits a fluctuating trend of urbanisation with a high regional variation and a high urban primacy. Disparities exists in urban growth with Bangalore being the most urbanized district (90.94%) and Kodagu the least (14.61%). Udupi and Dakshina Kannada districts were urbanizing faste...

Research paper thumbnail of Levels, patterns and determinants of outmigration from Bihar

Research paper thumbnail of Public Healthcare Expenditure Needs in North-Eastern States of India

Journal of Rural Development, 2020

The present paper assesses the public healthcare expenditure required to provide sufficient prima... more The present paper assesses the public healthcare expenditure required to provide sufficient primary healthcare facilities as per the Indian Public Health Status (IPHS) norm in the rural areas of north-east India. The analysis is based on the data from Rural Health Statistics (RHS) 2015, National Health Mission framework for implementation and other macroeconomic sources. The present study has found that healthcare facilities (sub-centres, PHCs and CHCs) in the rural areas of north-east India are in a poor condition which is evidenced by shortages of infrastructure, lack of sufficient manpower, drugs and medicines, equipment and other necessary provisions. It is imperative that the north-eastern States should increase their spending on rural public health to provide universal primary healthcare facilities as per the IPHS in the rural areas. An estimated additional amount of about Rs. 68 lakh thousand (equivalent to more than 7 per cent of total public health expenditure or 0.23 per cent of the North-East region’s gross domestic product) at current prices will be required to be spent across the north-eastern States.

Research paper thumbnail of The COVID-19, Migration and Livelihood in India: Challenges and Policy Issues

Migration Letters, 2020

The worldwide spread of COVID-19 first reported from Wuhan in China is attributed to migration an... more The worldwide spread of COVID-19 first reported from Wuhan in China is attributed to migration and mobility of people. In this article, we present how our understanding of migration and livelihood could be helpful in designing a mitigating strategy of the economic and social impact of COVID-19 in India. We conclude that there are many challenges migrants face during the spread of COVID-19 resulting from nation-wide lockdown. Many internal migrants faced problems such as lack of food, basic amenities, lack of health care, economic stress, lack of transportation facilities to return to their native places and lack of psychological support. On the other hand, COVID-19 has also brought into sharp focus the emigrants from India and the major migration corridors India shares with the world as well. There is huge uncertainty about how long this crisis will last. This article further provides some immediate measures and long term strategies to be adopted by the government such as improving ...

Research paper thumbnail of Determinants of Health-seeking Behaviour in Northeast India

Journal of Health Management, 2019

India’s northeast region comprises eight states, which, together, is home to 3.8 per cent of the ... more India’s northeast region comprises eight states, which, together, is home to 3.8 per cent of the country’s population. The quality of healthcare and manpower availability remains a cause for concern in the region, affecting the overall health-seeking behaviour of the people. This study attempts to understand the determinants of utilization of healthcare services in Northeast India. Healthcare and morbidity data for this study are based on a Northeast India sample from the National Sample Survey Organization’s (NSSO’s) health consumption data (2014). Probit, multinomial and mixed conditional logit models were employed in the study. In Northeast India, uneducated, higher-aged, Schedule Castes/Schedule Tribes (SCs/STs), Muslims, rural people and district people are served less by medical institutions and because of poor road connectivity they either remain untreated or seek care at underequipped primary healthcare services, while their counterparts utilize private facilities mostly for...

Research paper thumbnail of Deterministic approach for susceptibility assessment of shallow debris slide in the Darjeeling Himalayas, India

CATENA, 2016

Abstract High magnitude rainfall triggers numerous shallow debris slides in the Darjeeling Himala... more Abstract High magnitude rainfall triggers numerous shallow debris slides in the Darjeeling Himalayas causing widespread damage to the environment, loss of life and property. Thin soil cover and steep topography make the region vulnerable to debris slides. The objective of the present study is to assess the susceptibility of the eastern part of Darjeeling Himalayas (covering about 330 km2) to shallow debris slides through the functional relationship of hillslope hydrology and mechanical properties of slope materials. Deterministic approach-based shallow landsliding stability (SHALSTAB) model following Mohr–Coulomb failure law was adopted to assess landslide susceptibility. Topographical parameters were derived from 8-m resolution Cartosat-1 digital elevation model (DEM) and mechanical properties of soil were obtained from an analysis of 15 soil samples. For slope stability assessment, the topographical and soil parameters were put into three different scenarios — (i) assuming the surface entirely free from vegetation (Model-1), (ii) involving the role of vegetation root cohesion (Model-2) and (iii) surcharge of vegetation, buildings and other structures along with root cohesion (Model-3). These predictive models were used to classify the area into various susceptibility classes with specific amounts of critical rainfall (Qc). The result shows that 28%, 9% and 10% of the study area come under unconditionally unstable class in the three models, respectively. About 22% land in Model-1 and 42% in each Model-2 and Model-3 come under unconditionally stable class. Protective capacity of roots against debris slide played a significant role in Model-2 and Model-3. Performance of models was validated by comparison of observed–predicted landslide areas and the area under the receiver operating characteristic (ROC) curve. It is found that the overall success rate of all the three models is relatively low (56.60% to 64.50%). Thus, it may be concluded that the SHALSTAB model in assessing landslide should either not be used at all at a regional level in the Himalayas or be used only with great caution along with additional field and lab data.

Research paper thumbnail of Migration Studies: Missing Links and Future Agenda

Indian Geography in the 21st Century: The Young Geographers Agenda

Research paper thumbnail of Landslide susceptibility assessment using Information Value Method in parts of the Darjeeling Himalayas

Journal of the Geological Society of India, 2013

Research paper thumbnail of Soil depth estimation through soil-landscape modelling using regression kriging in a Himalayan terrain

International Journal of Geographical Information Science, 2013

Soil formation depends upon several factors such as parent material, soil biota, topography and c... more Soil formation depends upon several factors such as parent material, soil biota, topography and climate. It is difficult to use conventional soil survey methods for mapping the depth of soil in complex mountainous terrains. In this context, the present study aimed to estimate the soil depth for a large area (330.35 km2) using different geo-environmental factors through a soil-landscape regression kriging (RK) model in the Darjeeling Himalayas. RK with seven predictor variables such as elevation, slope, aspect, general curvature, topographic wetness index, distance from the streams and land use, was used to estimate the soil depth. While topographic parameters were derived from an 8-m resolution digital elevation model, the ortho-rectified Cartosat-1 satellite image was used to prepare the land use map. Soil depth measured at 148 sites within the study area was used to calibrate and validate the RK model. The result showed that the RK model with the seven predictors could explain 67% spatial variability of soil depth with a prediction variance between 0.23 and 0.42 m at the test site. In the regression analysis, land use (0.133) and slope (–0.016) were identified as significant determinants of soil depth. The prediction map showed higher soil depth in south-facing slopes and near valleys in comparison to other areas. Mean, mean absolute and root mean-square errors were used to access the reliability of the prediction, which indicated a goodness-of-fit of the RK model.

Research paper thumbnail of Impact of male out-migration on health status of left behind wives—a study of Bihar, India

meeting of the International Union for …, 2005

In developing countries like India, usually rural to urban migration is the most dominant pattern... more In developing countries like India, usually rural to urban migration is the most dominant pattern of internal migration. Males who are pushed by structural poverty and enter in migration streams as a survival strategy dominate this migration pattern. While male migration ...

Research paper thumbnail of Impact of Rural-urban Labour Migration on Education of Children: A Case Study of Left behind and Accompanied Migrant Children in India

Space and Culture, India, 2015

In developing countries, seasonal labour migration from rural to urban or from backward to develo... more In developing countries, seasonal labour migration from rural to urban or from backward to developed region is a household livelihood strategy to cope with poverty. In this process, the children of those migrants are the worst affected whether they accompany their parents or are left behind in the villages. The present paper explores the impact of temporary labour migration of parent(s) on school attendance of the children between 6–14 years and their dropping out from the school through an analysis of the cases from both the ends of migration stream in India. Data was collected from thirteen construction sites of Varanasi Uttar Pradesh and nine villages of Bihar by applying both qualitative and quantitative techniques. It is evident from the study that the migrants through remittances improve school accessibility for the left behind children and bridge gender gap in primary school education. However, among the accompanying migrant children of construction workers, many remain out o...

Research paper thumbnail of The coalition of three f: family, friend and firms; a study on migrant entrepreneurs in Mumbai

International Journal Of Community Medicine And Public Health

Background: The paper examines how family and friends help successfully manage a firm and support... more Background: The paper examines how family and friends help successfully manage a firm and support in entrepreneurial activities. Entrepreneurial activity necessitates long-enduring working hours and often involves financial and emotional hardships. The study explores the collective effect of migrants’ social capital, i.e., family and friend which facilitating labour and finance at new location. Methods: For the present study, the primary survey was conducted in Mumbai from February 2018 to August 2018. A total sample of 540 self-employed migrants operating the business in Mumbai were interviewed.Results: There are distinctive migration network channels in the form of family relatives, kin, friends, co-villager, local acquaintance. Age and marital status have surfaced to be paramount predictors for choosing self-employment. Confounders like bonds among family members, kins, friends and community support play an important in operating the enterprise. Results from logistic regression s...

Research paper thumbnail of Why do migrants transfer money?

Research paper thumbnail of Migration and Urban Transition in India

Research paper thumbnail of Urbanisation in Karnataka: Trend and Spatial Pattern

Karnataka is the seventh largest state in India with 38.67% of urban population as of 2011. With ... more Karnataka is the seventh largest state in India with 38.67% of urban population as of 2011. With 1 out of every 7 people in Karnataka living in Bangalore, it addresses pertinent questions as to how much of this growth is contributed by various regional pockets. This paper aims to identify regional imbalances in urban growth in Karnataka from 1991 to 2011 at the regional, divisional and district level and to examine the distribution of urban population across cities during the same period. It uses secondary data from the Census of India to compute measures of percent urban population, urban rural growth differential (URGD), Gini coefficient/Lorenz curve and primacy index (PI). Results show that Karnataka exhibits a fluctuating trend of urbanisation with a high regional variation and a high urban primacy. Disparities exists in urban growth with Bangalore being the most urbanized district (90.94%) and Kodagu the least (14.61%). Udupi and Dakshina Kannada districts were urbanizing faste...

Research paper thumbnail of Levels, patterns and determinants of outmigration from Bihar

Research paper thumbnail of Public Healthcare Expenditure Needs in North-Eastern States of India

Journal of Rural Development, 2020

The present paper assesses the public healthcare expenditure required to provide sufficient prima... more The present paper assesses the public healthcare expenditure required to provide sufficient primary healthcare facilities as per the Indian Public Health Status (IPHS) norm in the rural areas of north-east India. The analysis is based on the data from Rural Health Statistics (RHS) 2015, National Health Mission framework for implementation and other macroeconomic sources. The present study has found that healthcare facilities (sub-centres, PHCs and CHCs) in the rural areas of north-east India are in a poor condition which is evidenced by shortages of infrastructure, lack of sufficient manpower, drugs and medicines, equipment and other necessary provisions. It is imperative that the north-eastern States should increase their spending on rural public health to provide universal primary healthcare facilities as per the IPHS in the rural areas. An estimated additional amount of about Rs. 68 lakh thousand (equivalent to more than 7 per cent of total public health expenditure or 0.23 per cent of the North-East region’s gross domestic product) at current prices will be required to be spent across the north-eastern States.

Research paper thumbnail of The COVID-19, Migration and Livelihood in India: Challenges and Policy Issues

Migration Letters, 2020

The worldwide spread of COVID-19 first reported from Wuhan in China is attributed to migration an... more The worldwide spread of COVID-19 first reported from Wuhan in China is attributed to migration and mobility of people. In this article, we present how our understanding of migration and livelihood could be helpful in designing a mitigating strategy of the economic and social impact of COVID-19 in India. We conclude that there are many challenges migrants face during the spread of COVID-19 resulting from nation-wide lockdown. Many internal migrants faced problems such as lack of food, basic amenities, lack of health care, economic stress, lack of transportation facilities to return to their native places and lack of psychological support. On the other hand, COVID-19 has also brought into sharp focus the emigrants from India and the major migration corridors India shares with the world as well. There is huge uncertainty about how long this crisis will last. This article further provides some immediate measures and long term strategies to be adopted by the government such as improving ...

Research paper thumbnail of Determinants of Health-seeking Behaviour in Northeast India

Journal of Health Management, 2019

India’s northeast region comprises eight states, which, together, is home to 3.8 per cent of the ... more India’s northeast region comprises eight states, which, together, is home to 3.8 per cent of the country’s population. The quality of healthcare and manpower availability remains a cause for concern in the region, affecting the overall health-seeking behaviour of the people. This study attempts to understand the determinants of utilization of healthcare services in Northeast India. Healthcare and morbidity data for this study are based on a Northeast India sample from the National Sample Survey Organization’s (NSSO’s) health consumption data (2014). Probit, multinomial and mixed conditional logit models were employed in the study. In Northeast India, uneducated, higher-aged, Schedule Castes/Schedule Tribes (SCs/STs), Muslims, rural people and district people are served less by medical institutions and because of poor road connectivity they either remain untreated or seek care at underequipped primary healthcare services, while their counterparts utilize private facilities mostly for...

Research paper thumbnail of Deterministic approach for susceptibility assessment of shallow debris slide in the Darjeeling Himalayas, India

CATENA, 2016

Abstract High magnitude rainfall triggers numerous shallow debris slides in the Darjeeling Himala... more Abstract High magnitude rainfall triggers numerous shallow debris slides in the Darjeeling Himalayas causing widespread damage to the environment, loss of life and property. Thin soil cover and steep topography make the region vulnerable to debris slides. The objective of the present study is to assess the susceptibility of the eastern part of Darjeeling Himalayas (covering about 330 km2) to shallow debris slides through the functional relationship of hillslope hydrology and mechanical properties of slope materials. Deterministic approach-based shallow landsliding stability (SHALSTAB) model following Mohr–Coulomb failure law was adopted to assess landslide susceptibility. Topographical parameters were derived from 8-m resolution Cartosat-1 digital elevation model (DEM) and mechanical properties of soil were obtained from an analysis of 15 soil samples. For slope stability assessment, the topographical and soil parameters were put into three different scenarios — (i) assuming the surface entirely free from vegetation (Model-1), (ii) involving the role of vegetation root cohesion (Model-2) and (iii) surcharge of vegetation, buildings and other structures along with root cohesion (Model-3). These predictive models were used to classify the area into various susceptibility classes with specific amounts of critical rainfall (Qc). The result shows that 28%, 9% and 10% of the study area come under unconditionally unstable class in the three models, respectively. About 22% land in Model-1 and 42% in each Model-2 and Model-3 come under unconditionally stable class. Protective capacity of roots against debris slide played a significant role in Model-2 and Model-3. Performance of models was validated by comparison of observed–predicted landslide areas and the area under the receiver operating characteristic (ROC) curve. It is found that the overall success rate of all the three models is relatively low (56.60% to 64.50%). Thus, it may be concluded that the SHALSTAB model in assessing landslide should either not be used at all at a regional level in the Himalayas or be used only with great caution along with additional field and lab data.

Research paper thumbnail of Migration Studies: Missing Links and Future Agenda

Indian Geography in the 21st Century: The Young Geographers Agenda

Research paper thumbnail of Landslide susceptibility assessment using Information Value Method in parts of the Darjeeling Himalayas

Journal of the Geological Society of India, 2013

Research paper thumbnail of Soil depth estimation through soil-landscape modelling using regression kriging in a Himalayan terrain

International Journal of Geographical Information Science, 2013

Soil formation depends upon several factors such as parent material, soil biota, topography and c... more Soil formation depends upon several factors such as parent material, soil biota, topography and climate. It is difficult to use conventional soil survey methods for mapping the depth of soil in complex mountainous terrains. In this context, the present study aimed to estimate the soil depth for a large area (330.35 km2) using different geo-environmental factors through a soil-landscape regression kriging (RK) model in the Darjeeling Himalayas. RK with seven predictor variables such as elevation, slope, aspect, general curvature, topographic wetness index, distance from the streams and land use, was used to estimate the soil depth. While topographic parameters were derived from an 8-m resolution digital elevation model, the ortho-rectified Cartosat-1 satellite image was used to prepare the land use map. Soil depth measured at 148 sites within the study area was used to calibrate and validate the RK model. The result showed that the RK model with the seven predictors could explain 67% spatial variability of soil depth with a prediction variance between 0.23 and 0.42 m at the test site. In the regression analysis, land use (0.133) and slope (–0.016) were identified as significant determinants of soil depth. The prediction map showed higher soil depth in south-facing slopes and near valleys in comparison to other areas. Mean, mean absolute and root mean-square errors were used to access the reliability of the prediction, which indicated a goodness-of-fit of the RK model.

Research paper thumbnail of Impact of male out-migration on health status of left behind wives—a study of Bihar, India

meeting of the International Union for …, 2005

In developing countries like India, usually rural to urban migration is the most dominant pattern... more In developing countries like India, usually rural to urban migration is the most dominant pattern of internal migration. Males who are pushed by structural poverty and enter in migration streams as a survival strategy dominate this migration pattern. While male migration ...

Research paper thumbnail of Impact of Rural-urban Labour Migration on Education of Children: A Case Study of Left behind and Accompanied Migrant Children in India

Space and Culture, India, 2015

In developing countries, seasonal labour migration from rural to urban or from backward to develo... more In developing countries, seasonal labour migration from rural to urban or from backward to developed region is a household livelihood strategy to cope with poverty. In this process, the children of those migrants are the worst affected whether they accompany their parents or are left behind in the villages. The present paper explores the impact of temporary labour migration of parent(s) on school attendance of the children between 6–14 years and their dropping out from the school through an analysis of the cases from both the ends of migration stream in India. Data was collected from thirteen construction sites of Varanasi Uttar Pradesh and nine villages of Bihar by applying both qualitative and quantitative techniques. It is evident from the study that the migrants through remittances improve school accessibility for the left behind children and bridge gender gap in primary school education. However, among the accompanying migrant children of construction workers, many remain out o...