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Not uploaded.Key words: Violence; Disoriented; Uncooperative patientsDOI: 10.3126/jnhrc.v6i1.2446Journal of Nepal Health Research Council Vol. 6, No. 1, Issue 12, April, 2008 Page: 58-60

PurposeThis paper aims to explore the relationship of promoter ownership and board structure with firm performance for Indian companies.Design/methodology/approachCorporate governance structures of 391 Indian companies out of CRISIL NSE Index (CNX) 500 companies listed on national stock exchange (NSE) have been studied for their impact on performance of companies. Panel data regression methodology has been used on data for five financial years from 2010 to 2014 for the selected companies. Performance measures considered are market-based measure (Tobin's Q) and accounting-based measure (return on assets [ROA]).FindingsThe empirical findings indicate that market-based measure (Tobin's Q) is more impacted by corporate governance than accounting-based measure. There is significant positive association between promoter ownership and firm performance. It is also indicated that the relationship between promoter ownership and firm performance is different at different levels of promoter ownership. Board size is found to be positively related to ROA; however, board independence is not found to be related to any of the performance measures.Research limitations/implicationsLimitations of the study are in terms of data methodology and possible omission of some variables. It is felt that endogeneity and reverse causality might be better addressed using simultaneous equation methodology.Originality/valueThe paper adds to the emerging body of literature on corporate governance performance relationship in Indian context using a reasonably wider and newer data set.

AbstractIndian official data points out a progressive decline in child labour during last three decades.Nevertheless, there are several gaps that need to be addressed for targed policy intervention. This paper highlights the key socioeconomic vulnerabilities among children in rural and urban India and also summarize the key focus areas to be prioritized. We posit that children's entry into the labour force is driven by varied access to resources such as education, societal status and gender. The children in Scheduled Castes and Scheduled Tribes households are the most vulnerable. We recommend prioritizing easy‐to‐access quality education among the key strategies for eradicating child labour.

Why are social networks necessary at the place of destination? What roles do they play as a form of "social capital" for newly arrived migrants in urban centers? These are some relevant questions that scholars in migration studies have explored, especially in the context of international migration, but significant gaps exist in the case of internal migration. Using the migration history of the head of 400 households living in eight slum areas of Delhi, the present study attempts to differentiate the social networks available to the head of the households at their first arrival in Delhi based on the strong and weak ties and the caste-based network. The study also disentangles the role played by these social networks in providing social protection to household heads at their first arrival. The results show that social networks, especially strong family/kinship-based and caste-based networks, play an essential role in providing social protection by assisting newly arrived migrants with housing, food and information about employment.

The education sector in India was among the most affected sectors during the COVID-19 pandemic. While considerable attention has been paid to informal workers' return or reverse migration to their home communities, not much has been reported about the challenges faced by migrant students. Using a mixed-method approach, the current study presents an overview of internal student migration in India prior to the COVID-19 pandemic using data from the 2001 and 2011 Census of India and the 2007–2008 National Sample Survey Organization, and discusses challenges faced by selected migrant learners during the COVID-19 pandemic based on primary research. Based on the census data, nearly 3.3 million migrants in India move for study reasons with 2.9 million migrating within the state (with the duration of residence less than five years) from their last residence within India. The pattern of female student migration suggests an increasingly localized interdistrict migration. Findings from the qualitative data indicate that during the pandemic, students had compromised learning and placement experience, inadequate digital resources and pressure to repay loans. Student migrants experienced varying degrees of the impact of the COVID-19 pandemic based on their destination and migration stream.

There are many social, political and environmental issues associated with the use of fossil fuels. For this reason, there are numerous investigations currently being carried out to develop newer and renewable sources of energy to alleviate energy demand. Wind is one source of energy that can be harnessed using wind turbines. In this study, numerical investigations using Computational Fluid Dynamics (CFD) solver have been carried out to determine the optimum blade angles of a wind turbine used in urban environment. The effect of these blade angles have been considered to be within the normal operating range (α from 1.689° to 21.689°, ϒ from 18.2° to 38.2° and δ from 22.357° to 42.357°) while β was kept constant at 90° due to design requirements. The results show that as α increases average torque output increases to a certain point after which it remains constant. On the contrary, as ϒ and δ increase, average torque output decreases. From the results, it can be concluded that the ideal blade angles, for optimal torque output, are α=11.689°, ϒ=18.2° and δ=22.357°

AbstractAgainst the backdrop of the alarming rise in Caesarean section (C-section) births in India, this study aimed to examine the association between C-section births, fertility decline and female sterilization in the country. A cross-sectional design was used to investigate the association between C-section delivery and subsequent reproductive behaviour in women in India. Data were from the National Family Health Survey (NFHS-4). The study sample comprised 255,726 currently married women in the age group of 15–49 years. The results showed a strong positive relationship between C-section births and female sterilization. The predicted probabilities (PP) from the multivariate regression model indicated a higher chance of female sterilization in women with C-section births (PP = 0.39,p<0.01) compared with those with non-C-section births (PP = 0.20,p<0.01). Both state-level correlation plots and Poisson regression estimates showed a strong negative relationship between C-section births and mean children ever born (CEB). Based on the results, it may be concluded that the use of C-sections and sterilization were strongly correlated in India at the time of the NFHS-4, thus together contributing to fertility decline. A strong negative association was found between the occurrence of C-sections and CEB. The increased and undesired use of C-section births and consequent female sterilization is a regressive socio-demographic process that often violates women's rights. Fertility decline should happen through informed choice of family planning and must protect the reproductive rights of women.

Responding to crucial challenges in urban and rural development led the United Nations decide on the New Urban Agenda as well as the 2030 Agenda and the Sustainable Development Goals (SDGs). In order to understand the spatial patterns, which SDGs produce, a national and supranational spatial perspective is taken on SDG 4 "Quality Education". SDG 4 highlights the human right on education and requests institutions to ensure inclusive and equal access to education for all. In many countries, one can note gender differences related to schooling at all levels or at graduation. Education in general and the education of females in particular influences largely the social and economic development of countries, ranging from health and birth control to a higher economic output of enterprises lead by mixed teams. The chapters visualise the spatial analysis of SDG 4, respectively on school graduates, female school graduates and scholar exclusion. Alternating maps illustrate the spatial perspective on SDG 4 in India, Germany and Europe by taking manifold national as well as supranational views wherever feasible.

Responding to crucial challenges in urban and rural development led the United Nations decide on the New Urban Agenda as well as the 2030 Agenda and the Sustainable Development Goals (SDGs). In order to understand the spatial patterns, which SDGs produce, a national and supranational spatial perspective is taken on SDG 3 "Good health and Well-Being". Progress in health concomitantly affects several pathways of development in a country. Persistent improvements in the life expectancy at birth ascertain significant progress towards health care in any country. The development in the respective health system is validated by improving health-related indicators, such as institutional deliveries, infant and child mortality rates, full immunisation and nutrition. Sub-goal 3.7 addresses the universal access to sexual and reproductive health care services, including family planning, information and education. Adolescent pregnancy leading to teenage parenthood is an obviously global concern affecting low- and high-income countries in the same way. Alternating maps illustrate the spatial perspective on SDG 3 in India, Germany and Europe by taking manifold national as well as supranational views wherever feasible.

Responding to crucial challenges in urban and rural development led the United Nations decide on the New Urban Agenda as well as the 2030 Agenda and the Sustainable Development Goals (SDGs). The progress made in implementing the New Urban Agenda is referenced against the SDGs and vice versa. In order to understand the spatial patterns which SDGs produce, a national and supranational spatial perspective is taken on SDG 11 "Inclusive, Safe, Resilient and Sustainable Cities and Communities". While data availability determines the analysis, national or even supranational programmes support respective development and change. The chapters visualise the spatial analysis of SDG 11. Alternating maps illustrate the spatial perspective on SDG 11 in India, Germany and Europe by taking manifold national as well as supranational views wherever feasible.