This book reviews the fulfillment of two Millennium Development Goals (MDGs), namely poverty and inequality, in the Indian subcontinent. It examines the complex interplay among development, inequality and poverty in relation to corruption, environmental resource management, agricultural adjustment to climate change and institutional arrangements, with a special focus on the Northeastern region of the country. The topics covered offer a blend of theoretical arguments and empirical data with regard to the three main themes of the book, while also providing agricultural and environmental perspectives. The book also provides guidelines for policy initiatives for harnessing the region's potential in the areas of industry, trade, sustainable use of mineral, forest and other natural resources, nature-based tourism through proper infrastructure development, and resolving land issues to achieve inclusive development.In addition to introducing some new questions on the development-ethnic conflict interface, it uses sophisticated tools such as the Blinder-Oaxaca decomposition method in consumption expenditure to show the endowment, and return to endowment effects; and techniques like spatial correlation-regression to analyze regional variation, co-integration, vector autoregression, the panel data technique and the adaptation index to climate change, to understand socio-economic complexities and the effect of the concerned variables on entrepreneurship and human development.The book offers a timely contribution to our understanding of major MDGs and highlights their successes and failures. It also includes analytical frameworks that are key to future policy initiatives. Further, it disseminates approaches and methods that improve livelihoods and standards of living through poverty reduction and promoting inclusive development along with sustainable utilization of available natural resources. Putting forward various ideas for creating a more sustainable future, it inspires and encourages readers to pursue further studies to address the gaps that still remain.

This book discusses the need to carefully and prudently apply various regression techniques in order to obtain the full benefits. It also describes some of the techniques developed and used by the authors, presenting their innovative ideas regarding the formulation and estimation of regression decomposition models, hidden Markov chain, and the contribution of regressors in the set-theoretic approach, calorie poverty rate, and aggregate growth rate. Each of these techniques has applications that address a number of unanswered questions; for example, regression decomposition techniques reveal intra-household gender inequalities of consumption, intra-household allocation of resources and adult equivalent scales, while Hidden Markov chain models can forecast the results of future elections. Most of these procedures are presented using real-world data, and the techniques can be applied in other similar situations. Showing how difficult questions can be answered by developing simple models with simple interpretation of parameters, the book is a valuable resource for students and researchers in the field of model building.

This book addresses health and healthcare issues in India with a special focus on the Northeast region. Pursuing a multidisciplinary approach, it highlights key issues in health and healthcare and outlines the actions needed to achieve the desired results in these areas as laid out in the UN Millennium Development Goals. In addition to introducing some new questions on health and healthcare development, it presents cross-country analyses, and examines the convergence of healthcare across Indian states, as well as mortality and morbidity in the Northeast. The book also explores the regional complexities involved in the discussion of these topics. It presents a number of specific techniques, such as two-level logistic regression, analysis of mental health, probabilistic and predictive analysis of nutritional deficit, and generalized linear mixed models, that can be used to analyze mortality and morbidity and factors affecting out-of-pocket expenses in the healthcare context. Lastly, it presents concrete case studies substantiating the theoretical models discussed. As such, the book offers a valuable resource for health researchers, professionals and policymakers alike.

The volume covers issues related to poverty, inequality, inclusiveness development, role of institutions, and socio-political perspectives on development in India with a special focus on North-East India. Please note: Taylor & Francis does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka

This book addresses health and healthcare issues in India with a special focus on the Northeast region. Pursuing a multidisciplinary approach, it highlights key issues in health and healthcare and outlines the actions needed to achieve the desired results in these areas as laid out in the UN Millennium Development Goals. In addition to introducing some new questions on health and healthcare development, it presents cross-country analyses, and examines the convergence of healthcare across Indian states, as well as mortality and morbidity in the Northeast. The book also explores the regional complexities involved in the discussion of these topics. It presents a number of specific techniques, such as two-level logistic regression, analysis of mental health, probabilistic and predictive analysis of nutritional deficit, and generalized linear mixed models, that can be used to analyze mortality and morbidity and factors affecting out-of-pocket expenses in the healthcare context. Lastly, it presents concrete case studies substantiating the theoretical models discussed. As such, the book offers a valuable resource for health researchers, professionals and policymakers alike.

This book discusses the need to carefully and prudently apply various regression techniques in order to obtain the full benefits. It also describes some of the techniques developed and used by the authors, presenting their innovative ideas regarding the formulation and estimation of regression decomposition models, hidden Markov chain, and the contribution of regressors in the set-theoretic approach, calorie poverty rate, and aggregate growth rate. Each of these techniques has applications that address a number of unanswered questions; for example, regression decomposition techniques reveal intra-household gender inequalities of consumption, intra-household allocation of resources and adult equivalent scales, while Hidden Markov chain models can forecast the results of future elections. Most of these procedures are presented using real-world data, and the techniques can be applied in other similar situations. Showing how difficult questions can be answered by developing simple models with simple interpretation of parameters, the book is a valuable resource for students and researchers in the field of model building.

This book deals with different aspects of gender discrimination and gender empowerment, as well as their impact on economic development in human society. The findings presented in this book will be very useful to readers, help policy-makers, planners and researchers in the concerned discipline in incorporating the gender perspective as a strong component in formulating government policies, plans and programs, particularly in third world countries like India and China. The volume is rich with papers on different topics in the field collected from experts.