The Pradhan Mantri Kisan Samman Nidhi (PM-KISAN) scheme aims to provide income support to farmers to facilitate timely access to inputs by easing their liquidity needs. This study, based on 1,406 farmers of Uttar Pradesh and using a binary choice model, examines the scheme’s targeting accuracy and the correlates of farmers’ spending patterns. Triple difference with matching estimators are used to identify the differential impact of PM-KISAN on Krishi Vigyan Kendras (farm science centers, or KVKs) beneficiaries. Results show that PM-KISAN reached to one-third of all the farmers in the first three months of its implementation. Moreover, the study finds no selection bias based on social, economic and agricultural characteristics. The scheme has significantly helped those who are relatively more dependent on agriculture and have poor access to credit. Moreover, scheme has significantly stimulated the KVK ’s impact on the adoption of modern cultivars.

The Pradhan Mantri Kisan Samman Nidhi (PM-KISAN) scheme aims to provide income support to farmers to facilitate timely access to inputs by easing their liquidity needs. This study, based on 1,406 farmers of Uttar Pradesh and using a binary choice model, examines the scheme's targeting accuracy and the correlates of farmers' spending patterns. Triple difference with matching estimators are used to identify the differential impact of PM-KISAN on Krishi Vigyan Kendras (farm science centers, or KVKs) beneficiaries. Results show that PM-KISAN reached to one-third of all the farmers in the first three months of its implementation. Moreover, the study finds no selection bias based on social, economic and agricultural characteristics. The scheme has significantly helped those who are relatively more dependent on agriculture and have poor access to credit. Moreover, scheme has significantly stimulated the KVK 's impact on the adoption of modern cultivars.

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Study of Kerakat Block, Jaunpur District, Uttar Pradesh.

Globalization has transformed agri-food markets, creating a single global market with reduced trade barriers. In theory, this should bring increased food security, yet challenges persist. Small farmers often need help integrating into global sourcing networks and meeting stringent food safety regulations. Additionally, there is increasing pressure on businesses and governments to address the environmental and resource consequences of agri-food production. Advanced Computational Methods for Agri-Business Sustainability offers a comprehensive analysis of agricultural sector challenges and provides practical solutions. It identifies potential issues in agri-food management and supply chains, offers mitigation strategies, and highlights opportunities for sustainable development. The book aims to bridge the gap between theory and practice, providing insights for academics, policymakers, and industry professionals.