Policymaking for diversity among the aged in India

Population aging is occurring rapidly in India, and the implications of an aging society are likely to be experienced in an adverse manner unless immediate steps are taken to provide social security for all of India's older population. Current provision by central and state governments is grossly inadequate. This article analyzes the major Indian states across three income groups and describes the differences and inequalities across states and rural/urban areas with regard to income, living arrangements, pension benefits, etc. The efforts by central and state governments to meet the needs of older persons are outlined and critiqued. Suggestions are made for the establishment of more equitable income security, and health and social services schemes.     

Betweenness computation in the single graph representation of hypergraphs

Many real-world social networks are hypergraphs because they either explicitly support membership in groups or implicitly include communities. We present the HyperBC algorithm that exactly computes betweenness centrality (or BC) in hypergraphs. The forward phase of HyperBC and the backpropagation phase are specifically tailored for BC computation on hypergraphs. In addition, we present an efficient method for pruning networks through the notion of “non-bridging” vertices. We experimentally evaluate our algorithm on a variety of real and artificial networks and show that it significantly speeds up the computation of BC on both real and artificial hypergraphs, while at the same time, being very memory efficient.     

Interpretive structural modeling-based framework for mass customisation enablers: an Indian footwear case

Abstract

In the epoch of open economy and with the emergence of availability of individualised products over the Internet, Indian manufacturing industries are facing an enormous pressure to become more flexible and responsive, to accomplish customer’s varied and increasing demands. Mass customisation (MC) is about developing a customised product on demand for a particular customer after reception of a real order and producing it with the similar operational efficiency as one would anticipate from a mass-produced product. MC takes into account the merits of both the earlier systems of production, i.e. mass production and craft production. The craft production satisfies the personalised demands of customers and the mass production produces a limited variety of products at lower cost. Industries in developing countries such as India confront pressure from several perspectives to adopt MC. This study has been presented in the context of Indian manufacturing industries, and particularly for footwear industries to examine the enablers of MC. Achieving MC, however, require certain enabling technologies and processes in place. Several such enablers have been identified from the research literature. The objective of this study it to key out significantly important enablers for MC using interpretive structural modelling (ISM), and develop a hierarchy of these enablers for the Indian footwear units. ISM results show that modularity-based practices, digital manufacturing practices and supply chain integration are the most important MC enablers. Enhanced flexibility and responsiveness in the footwear production system can be achieved through modular and reconfigurable production system.     

Health and human development at sub-state level in India

A prominent outcome of the Indian development strategy has been disparity in well being. It is reflected in differential per capita incomes, access to basic facilities and human development indicators across Indian States. In order to analyze the factors that have led to disparities across states and to reflect upon the phenomenon of convergence and divergence and two-way causation between human development and income, in this study we focus on district level (sub-state level) for three Indian States, namely, Orissa, Karnataka and Maharashtra representing respectively a poor, middle-income and high-income state. The analysis is carried out to provide specific answers to certain pertinent questions and to suggest relevant policy implications. A comparison of state level averages and human development parameters for top and bottom districts indicates a tendency to neglect the development of poorer districts in richer states. Skewed development priorities also have favored better off districts in poorer states. Regression analysis highlights the inadequacy of social sector interventions and indicates differences in sensitivity of human development across the selected states. Our results point to the need for incorporating these differences in a more substantive way in human development planning in the states. Our two-way regressions indicate that a more suitable development strategy incorporating appropriate state intervention may lead to enhanced income, through improved skills or better quality of labor force, much faster in poorer states. With some exceptions, our results also support the hypothesis of convergence for both the rich and the poor states which varies with duration and parameter. The results support the contention that over a longer period of time an ongoing process of convergence at district level might minimize inequality provided state intervention is made to counteract divergence in identified parameters of the social and economic infrastructure policies. This could be taken care of in recommending and making use of central transfers and grants to the respective states.