Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits

• 成果类型: Article
• 署名作者: Magnan, Nicholas; Spielman, David J.; Lybbert, Travis J.; Gulati, Kajal
• 署名单位: University System of Georgia; University of Georgia; CGIAR; International Food Policy Research Institute (IFPRI); University of California System; University of California Davis
• 刊物名称: JOURNAL OF DEVELOPMENT ECONOMICS
• ISSN/ISSBN: 0304-3878
• DOI: 10.1016/j.jdeveco.2015.05.003
• 发表日期: 2015
• 页码: 223-251
• 关键词: Agricultural technology; Benefit heterogeneity; Laser land leveling; Resource conserving technology; social learning; social networks

摘要

Agricultural technologies typically spread as farmers learn about profitability through social networks. This process can be nuanced, however, when net returns for some farmers may not be positive. We investigate how social learning influences demand for a resource-conserving technology in eastern Uttar Pradesh, India. We identify potential adopters through an experimental auction and randomly select a subset to adopt. We exploit this variation in adoption across networks to estimate network effects on demand for the technology one year later using a second auction. Technology benefits vary, and network effects are completely conditional on benefits. Having a benefiting adopter in one's network increased demand by over 50%, whereas having a non-benefiting adopter had no effect. These effects are strong enough to bring average demand in line with expected benefits. For many farmers, however, demand remains below the market price, suggesting that network effects will lead to increased-but not rapid widespread-adoption. (C) 2015 Elsevier B.V. All rights reserved.