Amitava Biswas – författare

The United Nations Sustainable Development Goals, adopted in 2015 with a total of 17 objectives to be achieved by 2030, primarily aim to ensure the well-being of all people, particularly those in rural areas who are experiencing accelerated marginalization. The goal of ensuring happiness has become increasingly important as a result. In order to attain happiness for disadvantaged communities, it is crucial to provide a guaranteed income, basic health and hygiene, minimal education, and social security. Happiness is a universal aspiration and every farmer in India desires it.However, farmers in India are often portrayed as mere food producers who work for wages or income. Unfortunately, wages and income for small and marginal farmers are unpredictable, making it challenging for them to achieve a happy and prosperous life. The Indian farming sector is under constant stress due to unpredictable markets and fragile income, which makes it difficult for farmers to lead a happy life. Indias position on the global happiness index is close to the bottom.This book examines the conceptual heterogeneity of happiness and its importance for the physical and mental well-being of farmers. The well-being of farmers is crucial for sustaining food security and economic growth. The book is fascinating and insightful, providing a comprehensive analysis of the causes and consequences of farmers unhappiness. Through a large sample of farmer respondents, the book examines their level of happiness and provides compelling evidence to support its arguments.

Some of the recent projections of manpower requirements have relied on the assumption that the structure of employment by occupations will remain fixed over the entire period of projections. Using Indian data, the author of this book has shown that this is an implausible assumption, and the projections based on such assumptions are likely to be erroneous, The author, therefore, suggests to develop a methodology of manpower forecasting which accounts for the inter-temporal variations in the structure of employment It is further argued that such a methodology would also be helpful for planning expansion of education in the country, Two structural methods—namely, the Markov probability formulation and the RAS adjustment technique—and a single equation regression model (which posits that demand for skills are determined by production technology) of occupational forecasting are chosen in this study to assessing the predictive power of each of these techniques, Much of this book is devoted to highlight the theoretical details and the data requirements of these techniques reference, This is followed by an application of these techniques with Indian data—both at macro and micro levels, The results of this study favour the use of RAS method as a limited information model of occupational forecasting in economies which lack detailed manpower statistics. While the study in question is based on Indian data, it is surmised that the findings of this book would be of considerable importance for other developing countries as well. Moreover, it is hoped that the methodology and techniques illustrated will stimulate further research into factors affecting evolution of occupational coefficients in the context manpower planning in developing er mies.