Barun Deb Pal – författare

Issues linking climate change and economic growth are now at the centre of discussions regarding development strategies especially in the context of developing countries. This book contributes by analyzing the relationship between economic growth and GHG emissions in India with explicit reference to all major economic sectors. One of the most popular tools for macroeconomic policy analysis is Social Accounting Matrix (SAM). The book presents the methods and estimates of the latest Social Accounting Matrix (SAM) for India, which provides a major data base describing the complete circular flow of income and input-output transactions among the sectors of the economy. The novelty of the book lies in the fact that for the first time a SAM has been prepared for the Indian economy with environmental indicators. A detailed methodology for constructing such an extended SAM is also presented in the book. The environmental social accounting matrix (ESAM) based analysis has been included to show direct and indirect links between economic growth and GHG emissions. The book also includes analysis of factors affecting historical GHG emissions trends in India. The book goes beyond SAM and applies computable general equilibrium (CGE) modelling to derive climate-change policy analysis and simulations. This CGE-based analysis is an important contribution to the current debate surrounding carbon tax and its possible impact on macroeconomic growth.

Issues linking climate change and economic growth are now at the centre of discussions regarding development strategies especially in the context of developing countries. This book contributes by analyzing the relationship between economic growth and GHG emissions in India with explicit reference to all major economic sectors. One of the most popular tools for macroeconomic policy analysis is Social Accounting Matrix (SAM). The book presents the methods and estimates of the latest Social Accounting Matrix (SAM) for India, which provides a major data base describing the complete circular flow of income and input-output transactions among the sectors of the economy. The novelty of the book lies in the fact that for the first time a SAM has been prepared for the Indian economy with environmental indicators. A detailed methodology for constructing such an extended SAM is also presented in the book. The environmental social accounting matrix (ESAM) based analysis has been included to show direct and indirect links between economic growth and GHG emissions. The book also includes analysis of factors affecting historical GHG emissions trends in India. The book goes beyond SAM and applies computable general equilibrium (CGE) modelling to derive climate-change policy analysis and simulations. This CGE-based analysis is an important contribution to the current debate surrounding carbon tax and its possible impact on macroeconomic growth.

This book discusses various climate smart agro-technologies, their technical and economic feasibility across heterogeneous agro-climatic conditions, assessing farmers’ willingness to adopt those technologies, impact of climate smart technology in agricultural production and possible policy and investment opportunities to upscale it. Containing eight chapters, the book starts with a discussion about the methodological aspects of priority setting of the farm technologies across various regions of South Asia including Eastern Indo-Gangetic plain, Western Indo-Gangetic Plain and arid regions. Using data from field based trials and expert solicitations, the book next deliberates on a list of feasible technologies, assessed by constructing climate smart Feasibility Index. Further on, there is an analysis, using stated preference method, of the behaviour of farmers in adopting climate smart technologies. Preference of women farmers has been given a special focus in this book. After discussing the method priority setting of the farm technologies, impact of climate smart technologies has been analysed using real time data. Government policies have been reviewed with the view of achieving climate smart agriculture in South Asia. The book also describes the optimization modelling framework for investment allocation and technology prioritization. The model integrates both the bio-physical and the economic optimization model to capture the agro-climatic heterogeneity within the region and the variability of technical feasibility across regions and crops. Results of this model will help policy makers to identify how much to invest, where to invest and what technologies to prioritize for investments.