Ladumai Maikho Apollo Pou and Srinivas Goli
The aim of this study is twofold, first, to estimate the prevalence of multiple disabilities among the older population in India; second, to examine the socio economic…
Abstract
Purpose
The aim of this study is twofold, first, to estimate the prevalence of multiple disabilities among the older population in India; second, to examine the socio economic determinants of multiple disabilities among the older population.
Design/methodology/approach
This study used the India Human Development Survey Data (IHDS) for the analysis. Bivariate, multinomial logit regression and multiple classification analysis are used as methods for the study. Disability score is constructed for measuring the multiple disabilities among the older population.
Findings
The results of disability prevalence show, a high prevalence of multiple disabilities among the older population in India. Further, disability prevalence varies considerably by age and socio‐economic characteristics of the older population. Among all the socioeconomic factors, economic factor emerged as a dominant predictor of prevalence of disabilities among the older population in India. The findings of the dimension specific assessment reveal that the disability in walking is the highest among all the disabilities. The distribution of disabled older population by living arrangement and the social network indicates that a large proportion of disabled older population lives with their children. In addition, only a few of the disabled older people have social networks. The distribution of disabled older people by employment and financial source reveal that there is a meager government support to the disabled older population in India. This study evidently suggests that a significant number of older populations in India are suffering from multiple disabilities. The number of multiple disabilities increases with the decrease in the socioeconomic status. The living arrangement and financial security assessment suggest that there is an increasing need of children and government support to the disabled older population.
Originality/value
The distinctiveness of this study can be primarily found in the type of the data used, the assessment of additional disability dimensions, and the inclusion of differentials such as living arrangement, social network and work status as part of the analysis. Overall, the study with its robust statistical assessment provides a number of key insights into the social, economic security, and health care needs of the disabled older population in India.
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Srinivas Goli and Ladumai Maikho Apollo Pou
– The paper aims to find out how far the size of household landholding directs patriarchal traits and thus influence women's autonomy.
Abstract
Purpose
The paper aims to find out how far the size of household landholding directs patriarchal traits and thus influence women's autonomy.
Design/methodology/approach
The study used a two-part methodology. The first part provides theoretical background based on existing literature on women's autonomy and related information in formulating the “landholding-patriarchy hypotheses”. The second part of this study evaluates the empirical evidences of the association between the size of household landholding and women's autonomy.
Findings
Results indicate considerable variation in women's autonomy with the size of their household landholding: women's autonomy decreases with increasing size of household landholding. Evidence suggests that landholding directs patriarchal traits, as manifested in a reasonable influence on women's autonomy in rural India.
Originality/value
The paper innovates a means to understand the contributing factors to lowering women's autonomy, thus explore the relevance of “landholding-patriarchy hypothesis”.
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Priyanka Namdevrao Yadav, Srinivas Goli, Arokiasamy Perianayagam and Ladumai Maikho Apollo Pou
– The purpose of this paper is to examine the linkages of employment, chronic disease prevalence and medical care of the older population in India.
Abstract
Purpose
The purpose of this paper is to examine the linkages of employment, chronic disease prevalence and medical care of the older population in India.
Design/methodology/approach
This study used the India Human Development Survey data for the analysis. Bivariate, multinomial logit regression and multiple classification analysis are used as methods for the study.
Findings
The findings suggest a bi-directional relationship between employment and chronic diseases: the older population who are engaged in regular paid work has lower likelihood to the risk of chronic diseases compared to those who are not working. Conversely, the older population with chronic diseases may be unable to work in regular paid jobs. The greater proportions of not-working older population with savings and retirement pensions are more likely to seek modern treatment for the chronic diseases. Overall, the results foster that employment determines and is determined by chronic disease prevalence among the older population in India.
Originality/value
This paper for the first time presents evidence on the linkages of employment, chronic disease prevalence and medical care of the older population in India by using a unique and comprehensive data source.
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Jitendra Gouda, Kailash Chandra Das, Srinivas Goli and Ladumai Maikho Apollo Pou
This paper is an effort to identify the difference between government and private primary schools in terms of physical infrastructure, schooling costs and student's performance…
Abstract
Purpose
This paper is an effort to identify the difference between government and private primary schools in terms of physical infrastructure, schooling costs and student's performance. Further, the paper assessed the role of physical infrastructure and schooling costs on the performance of students. The paper aims to discuss these issues.
Design/methodology/approach
This study used India Human Development Survey (IHDS) data. Bivariate, trivariate, χ2 and ANOVA test, factor analyses and Theil index are used as methods of analyses.
Findings
The results present a distinct picture of government and private primary school education in India in terms of physical infrastructure standards, schooling cost and performance of students. In all the three selected indicators, private primary schools remained a forerunner or outperform the government primary schools in India. Besides this, the physical infrastructure and schooling cost found to have effect on performance of students both in private and public schools.
Practical implications
Since government primary schools hold more than 70 percent of total students, there is an urgent need to improve the standards of primary education in these schools. Further, efforts are needed to reduce the gaps between private and public schools in terms of its basic physical facilities and performance of students in the country.
Originality/value
The paper used the IHDS to examine the existing differentials between government and private primary schools. The analysis is purely an original work.