4.6 Article

Personalized digital extension services and agricultural performance: Evidence from smallholder farmers in India

Journal

PLOS ONE
Volume 16, Issue 10, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0259319

Keywords

-

Funding

  1. Deutscher Akademischer Austauschdienst (DAAD)
  2. Federal Ministry for Economic Cooperation and Development (BMZ) under the Center for Development Research (ZEF) Project Measures to reduce price volatility for improved food security

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By providing personalized information based on farmers' individual needs and conditions, digital extension services can enhance smallholder agricultural productivity, production diversity, and income. Utilizing propensity score matching and estimates of farmers' willingness to pay for digital extension services can help reduce selection bias in impact evaluations.
Productivity growth in smallholder agriculture is an important driver of rural economic development and poverty reduction. However, smallholder farmers often have limited access to information, which can be a serious constraint for increasing productivity. One potential mechanism to reduce information constraints is the public agricultural extension service, but its effectiveness has often been low in the past. Digital technologies could enhance the effectiveness of extension by reducing outreach costs and helping to better tailor the information to farmers' individual needs and conditions. Using primary data from India, this study analyses the association between digital extension services and smallholder agricultural performance. The digital extension services that some of the farmers use provide personalized information on the types of crops to grow, the types and quantities of inputs to use, and other methods of cultivation. Problems of selection bias in the impact evaluation are reduced through propensity score matching (PSM) combined with estimates of farmers' willingness to pay for digital extension. Results show that use of personalized digital extension services is positively and significantly associated with input intensity, production diversity, crop productivity, and crop income.

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