Are Daughters Like Mothers: Evidence on Intergenerational Educational Mobility Among Young Females in India

Taking data from the ‘India Youth Survey: Situation and Needs’ the paper examines intergenerational educational mobility for young females (vis-à-vis their mothers) in India. The paper uses transition/mobility matrices and mobility measures widely used in the literature on intergenerational mobility for the examination. The overall intergenerational educational mobility among the young females in India is about 0.69 (the upper limit being 1). The upwards component of the overall intergenerational educational mobility is 0.55 (that is, nearly four-fifth of the overall). Also, the intergenerational educational mobility is slightly higher in the ‘Scheduled Castes and Tribes (SC/ST)’ compared to the ‘Other Backward Castes (OBC)’ as well as ‘Others’ castes. But the upward mobility is substantially higher in the ‘Others’ caste group compared to SC/STs. The upward mobility among the OBCs is higher than that of SC/STs but lower than that of the ‘Others’ category. Also, the overall mobility as well as upward mobility is higher in urban areas. Moreover, there are large inter-state variations with the economically and demographically poorer states having substantially lower overall as well as upward mobility than the economically and demographically advanced states.     

Inequality of Opportunity in Indian Women

Social Indicators Research - Inequality of opportunity (IOp) in any society is defined as that part of overall inequality which arises from factors beyond the control of an individual...     

A tolerance interval approach for assessment of agreement in method comparison studies with repeated measurements

This paper generalizes the tolerance interval approach for assessing agreement between two methods of continuous measurement for repeated measurement data—a common scenario in applications. The repeated measurements may be longitudinal or they may be replicates of the same underlying measurement. Our approach is to first model the data using a mixed model and then construct a relevant asymptotic tolerance interval (or band) for the distribution of appropriately defined differences. We present the methodology in the general context of a mixed model that can incorporate covariates, heteroscedasticity and serial correlation in the errors. Simulation for the no-covariate case shows good small-sample performance of the proposed methodology. For the longitudinal data, we also describe an extension for the case when the observed time profiles are modelled nonparametrically through penalized splines. Two real data applications are presented.     

Tests for assessment of agreement using probability criteria

For the assessment of agreement using probability criteria, we obtain an exact test, and for sample sizes exceeding 30, we give a bootstrap-t$t$ test that is remarkably accurate. We show that for assessing agreement, the total deviation index approach of Lin [2000. Total deviation index for measuring individual agreement with applications in laboratory performance and bioequivalence. Statist. Med. 19, 255–270] is not consistent and may not preserve its asymptotic nominal level, and that the coverage probability approach of Lin et al. [2002. Statistical methods in assessing agreement: models, issues and tools. J. Amer. Statist. Assoc. 97, 257–270] is overly conservative for moderate sample sizes. We also show that the nearly unbiased test of Wang and Hwang [2001. A nearly unbiased test for individual bioequivalence problems using probability criteria. J. Statist. Plann. Inference 99, 41–58] may be liberal for large sample sizes, and suggest a minor modification that gives numerically equivalent approximation to the exact test for sample sizes 30 or less. We present a simple and accurate sample size formula for planning studies on assessing agreement, and illustrate our methodology with a real data set from the literature.     

Resource Access and Status Versus Values and Agency: Is There a Correspondence?

This paper attempts to explore the correspondence (or lack of it) between women’s access to resources and their social status on one hand and between women’s social status and their values and agency on the other. This would necessarily involve an assessment of the role of women’s access to resources towards their attitudinal transformation and ability to exercise agency. However, this also entails an understanding of the circumstances including norms and institutions amidst which women exercise choices. While gender research today boasts of rich empirical contributions, the implication of women’s improved resource access on intra-family-gendered relation as well as on women’s own preferences and agency roles still deserves a comprehensive inquiry. This paper attempts to conduct such an exercise in Indian context, by utilizing existing demographic health survey and other data. It observes that despite women’s control over resources and access to education, gendered role as well as attitudes and preferences of men and of women themselves, remain intact. While this observation underlines the impinging role of social context, alongside it also reflects the inefficacy of using conventional indicators to measure women’s autonomy and gender equality.     

An Integrated Approach for Modeling Sustainability Risks in Freight Transportation Systems

Integrating sustainability into freight transportation systems (FTSs) is a complex and challenging task due to the sheer number of inherent sustainability risks. Sustainability risks disrupt the economic, social and environmental objectives of freight operations and act as impediments in the development of sustainable freight transportation systems. The area of sustainability risk management is still unexplored and immature in the operational research domain. This study addresses these research gaps and contributes in a threefold manner. First, a total of 36 potential sustainability risks related to FTSs are identified and uniquely classified into seven categories using a rigourous approach. Second, the research proposes two prominent perspectives, namely, ontological and epistemological perspectives to understand risks and develops a novel framework for managing sustainability risks in FTSs. Third, a novel approach by integrating fuzzy evidential reasoning algorithm (FERA) with expected utility theory is developed to quantitatively model and profile sustainability risk for different risk preferences, namely, risk-averse, risk-neutral, and risk-taking scenarios. The proposed FERA is a flexible and robust approach, which transforms the experts’ inputs into belief structures and aggregates them using the evidence combination rule proposed in Dempster–Shafer theory to overcome the problem of imprecise results caused by average scoring in existing models. A sensitivity analysis is conducted to demonstrate the robustness of the proposed model. Unlike conventional perception, our study suggests that most of the high priority sustainability risks are behaviorally and socially induced rather than financially driven. The results provide significant managerial implications including a focus on skills development, and on social and behavioral dimensions while managing risks in FTSs.     

An integrated lean and green approach for improving sustainability performance: a case study of a packaging manufacturing SME in the U.K.

Abstract

Competitive landscape, informed consumers and stringent regulations have forced many manufacturing small- and medium-sized enterprises (SMEs) to focus on operational efficiency along with sustainability issues in recent years. While many manufacturing organisations have been taking lean initiatives for the past few years for operational excellence, an impulsive rush to adopt lean without a strategic deployment vision has led to scattered implementation of lean tools and projects without desired success. Many researchers and practitioners prescribe value stream mapping as a foundation for lean transformation initiatives; however, little empirical work is available on the symbiosis of lean and green paradigms to reap maximum benefits. This research, through a systematic methodology and a novel tool called Green Integrated Value Stream Mapping (GIVSM), integrates both paradigms in a case study on a U.K. packaging-manufacturing SME. Applying the GIVSM demonstrates that simultaneous deployment of lean and green paradigms have synergistic effect for improving both operational efficiency and environmental performance. In addition, continuous improvement framework with sustainable procurement is proposed to overcome the lean-green misalignments. This study also provides a guiding reference for practitioners to undertake similar improvement projects and identifies opportunities to expand this academic research on integrated lean-green approach into other industry sectors.     

Qualitative Study on the Impact of Child Sexual Abuse: Perspectives of Children,Caregivers, and Professionals in Indian Context

ABSTRACT

With an alarming increase in reported cases of Child Sexual Abuse (CSA) in India, the present study was conceived in an attempt to unearth the impact of CSA from the perspective of children, their caregivers, and the professionals dealing with them using qualitative research methodology. The secondary objective of the study was to discuss the clinical implications of the obtained findings for conducting culturally sensitive psychological assessment and intervention for CSA in India. Thus, in-depth interviews with 11 children and 7 Focused Group Discussions (FGDs) with 21 caregivers and 27 professionals were conducted. A total of 59 sample participants were recruited, and a thematic analysis was done. Six broad themes were identified from 223 generated codes-impact on behavioral, emotional, cognitive functioning and academics, psychopathology, biological, and social functioning. Four essential recommendations were concluded from the study, i.e., multidimensional impact assessment as a mandatory clinical practice, developing and utilizing culturally sensitive assessment & intervention protocols, incorporation of family-focused approach and multidisciplinary treatment team approach to ensure the holistic well-being of each chilsd in India.     

Drivers of Exploitation and Inequity in Non‐Timber Forest Products (NTFP) Value Chains: The Case of Indian Bay Leaf in Nepal and India

This article presents the findings of a study that analysed the Indian Bay Leaf (Cinnamomum tamala) Nees and Eberm value chain (VC) in Uttarakhand, India and Udayapur, Nepal. The results show that bay‐leaf VCs are loosely integrated and consist of stakeholders with asymmetrical power relations and different priorities. Traders in India dominate the chains and inappropriate standards lead to the exploitation of small producers and inequity in the chain. Policy measures are suggested for improving co‐ordination and competitiveness in the bay‐leaf VC which could be applied to the NTFP sector as a whole.     

Knowledge management based collaboration moderator services to support SMEs in virtual organizations

Abstract

Collaboration Moderator Services (CMS) are discussed as a Knowledge management service for SMEs operating in a virtual organization (VO). In this research, a CMS supports the pre-creation stage of a VO by quickly identifying potential business opportunities and collaborative partners. Text mining techniques are used to analyze calls for tender documents based on the competencies and areas of interest stored in the shared information about companies in a collaboration pool. A case study of UK-based SMEs demonstrates the application of text mining as a knowledge discovery tool, supporting SMEs at the pre-creation stage of a VO. Results show that text mining can be used to (1) identify possible business opportunities for SMEs in the collaborative network (2) Indicate potential collaborations between pairs of SMEs using link analysis and (3) Raise awareness of business opportunities and possible SME partners for multi-enterprise collaborations using a dimensional matrix.