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The main objective of this paper is to contribute to India's macroeconomic database of Input-Output Tables (IOTs) and Social Accounting Matrices (SAMs). The Central Statistics Office (CSO) of the Government of India has been regularly publishing IOTs since the 1960s. The latest table was published in 2012 for the reference year 2007-08. Although a Supply and Use Table (SUT) is available for 2012-13, a corresponding IOT has not been presented thus far. Given the significance of these databases in understanding complex inter-relationships within economies, it is imperative that they are regularly made available to practitioners in the field. Therefore, to maintain continuity, this paper proposes to transform the SUTs into a symmetric I-O flow matrix. A 140 x 140 commodity matrix will comprise a uniquely detailed database, useful to practitioners and policy makers alike. We also propose to compile satellite accounts based on the new I-O table. Since the government has not published such matrices for several years, we develop a methodology to undertake their construction. In addition, this study seeks to enrich India's anthology of SAMs by constructing a disaggregated matrix of 140 sectors for the Indian economy. Such an extensive database can be used for I-O, SAM and computable general equilibrium (CGE) modelling of energy, employment and climate policies for India. ; IFPRI5; DCA ; SAR ; Non-PR

Chapter 1: Economic Growth and GHG emissions: Policy Perspective from past Indian studies -- Chapter 2: Social Accounting Matrix of India: Concepts and Construction -- Chapter 3: Environmentally Extended Social Accounting Matrix of India: Definition and Construction Methodology -- Chapter 4: Impact of Economic Growth on GHG emissions - SAM Multiplier Analysis -- Chapter 5: GHG Emissions in India- A Structural Decomposition Analysis -- Chapter 6: An Environmental CGE Model for India -- Chapter 7: Reference and Policy Scenarios of CGE Model -- Chapter 8: Policy Message for Mitigating India's GHG emissions.

Technology adoption has been advocated to be an important way to improve agricultural productivity and welfare of the farmers in the semi-arid regions across the globe. Government of Karnataka implemented Bhoosamrudhi programme in four districts of the state (Bidar, Chikballapur, Dharwad and Udupi) as a pilot project to increase the crop yield and income of smallholder farmers. This programme was launched on the theme of technology adoption, along with convergence among different departments of agriculture. Farmers have been classified into five categories based on their levels of technology intensification to assess the impact of different levels of technology intensification on their income level. The research is built on a primary survey conducted in pilot districts of the state in 2018 over a sample of 1,465 farmer households. The results are generated using econometric methods of propensity score matching (PSM) and inverse probability weighted with regression adjustment (IPWRA), which highlight that higher the intensification, higher the net returns to the farmers. The results state that non-adopters would benefit additional ₹3,200 per month if they adopt at least one level of technology intensification. Hence, this programme turned out to be a successful model for smallholder farmers in semi-arid region of India. Steps should be taken to maintain and expand the momentum of the adoption to ensure food and livelihood security in the economy. JEL Codes: Q16, Q54, Q55, C13

Chapter 1: Two way association between agriculture and climate change -- Chapter 2: Prioritizing climate smart interventions across various agro-climatic region -- Chapter 3: Adoption of climate smart technologies in Indo-Gangetic Plain in South Asia -- Chapter 4: Role of Women in adoption of climate smart technologies and practices in drought prone zone -- Chapter 5: Were the past government policies climate smart? A review for South Asia -- Chapter 6: Insurance, compensation and institutions for climate smart agriculture -- Chapter 7: Prioritizing investment for climate smart agriculture – A Bio-Economic model -- Chapter 8: Climate smart agriculture – a need indeed for future agricultural development in South Asia

IFPRI3; CRP7 ; SAR ; PR ; CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)

This study was undertaken to assess farmers' preferences and willingness to pay (WTP) for various climate-smart interventions in the Indo-Gangetic Plain. The research outputs will be helpful in integrating farmers' choices with government programs in the selected regions. The Indo-Gangetic Plain (IGP) was selected because it is highly vulnerable to climate change, which may adversely affect the sustainability of the rice-wheat production system and the food security of the region. Climate-smart agriculture (CSA) can mitigate the negative impacts of climate change and improve the efficiency of the rice-wheat-based production system. CSA requires a complete package of practices to achieve the desired objectives, but adoption is largely dependent on farmers' preferences and their capacity and WTP. ; Non-PR ; IFPRI1; CRP7; Theme 3; Subtheme 3.1 ; SAO ; CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)