Uncertainty, Learning, and Technology Adoption in Agriculture

Chavas, Jean‐Paul; Nauges, Celine

doi:10.1002/aepp.13003

Cited by 171 publications

(92 citation statements)

References 70 publications

(94 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In particular, farmers may only have access to limited qualitative information (higher/ lower fertilizer use, higher or lower yields), and may only use information diffused through a sparse social network, suggesting that social considerations might affect adoption outcomes. This again highlights the need to explicitly model learning patterns, as detailed by Chavas and Nauges (2020).…”

Section: Learning and Social Preferencesmentioning

confidence: 98%

Agricultural Adoption and Behavioral Economics: Bridging the Gap

Streletskaya¹,

Bell²,

Kecinski³

et al. 2020

Applied Eco Perspectives Pol

View full text Add to dashboard Cite

This paper provides a selective overview of the linkages and complementary topics in behavioral economics and agricultural adoption literatures. The goal of the paper is to identify likely directions for future research at the intersection of behavioral economics and agricultural adoption. This research agenda has potential for providing valuable insight for policymakers, researchers, and stakeholders in agriculture and beyond.

show abstract

Section: Learning and Social Preferencesmentioning

confidence: 98%

Agricultural Adoption and Behavioral Economics: Bridging the Gap

Streletskaya¹,

Bell²,

Kecinski³

et al. 2020

Applied Eco Perspectives Pol

View full text Add to dashboard Cite

show abstract

“…That is social network. According to recent studies, famers' technology adoption can easily be affected by the behaviors of others among their social network [1,2].…”

Section: Introductionmentioning

confidence: 99%

Social network and extension service in farmers’ agricultural technology adoption efficiency

Wang

Capareda

2020

PLoS ONE

View full text Add to dashboard Cite

The purpose of the article is to analyze the interaction effect between social network and extension service in farmers' agricultural technology adoption efficiency (TAE). The empirical analysis refers to samples of farmers' water-saving irrigation technology (WSIT) adoption from Minqin, China. The result indicates that social network and extension service can improve farmers' TAE, but they are found to be competitive from the perspective of overall social network. While from the perspective of four dimensions of social network, interaction and trust have positive effects on farmers' TAE, and learning and trust are found to be competitive with extension service. The policy implication describes as follows. First, government should pay attention to farmers' social learning and demonstration effect. And series of measures should be taken to cultivate farmers' social network. Second, extension service should be improved to satisfy farmers' multiple demand on agricultural technology. Third, government should combine the effects of social network and extension service, and make different promotion strategies for different regions. In addition, other influential factors cannot be ignored.

show abstract

“…We invited leading researchers to prepare papers on important and pertinent topics. Some of the papers provide syntheses of well-researched topics (e.g., Chavas and Nauges 2020;Huffman 2020). Others address novel or underresearched issues (e.g., Heiman, Ferguson, and Zilberman 2020;Llewellyn and Brown 2020).…”

Section: Introductionmentioning

confidence: 99%

Understanding Adoption of Innovations and Behavior Change to Improve Agricultural Policy

Pannell¹,

Zilberman²

2020

Applied Eco Perspectives Pol

View full text Add to dashboard Cite

Research on the adoption of new practices and new behaviors in agriculture continues to grow and evolve, and its relevance to policy remains high. This special issue presents 10 papers that provide overviews of important aspects of the recent adoption literature, or identify gaps and opportunities in the literature. Adoption research has been innovative in a number of ways, including its recognition of adoption decision making as a process, not an event; its emphases on heterogeneity and learning; and its strong multidisciplinary flavor. There is scope for further innovation through efforts to enhance predictions of adoption, better understanding the balance between profit and non‐profit motivations, and better recognizing the influence on adoption of characteristics of the innovations, not just characteristics of the potential adopters and their contexts. Opportunities for policy include effort to support women farmers' adoption of beneficial innovations in developing countries, and use of tools and approaches from marketing in public extension programs

show abstract

Uncertainty, Learning, and Technology Adoption in Agriculture

Cited by 171 publications

References 70 publications

Agricultural Adoption and Behavioral Economics: Bridging the Gap

Agricultural Adoption and Behavioral Economics: Bridging the Gap

Social network and extension service in farmers’ agricultural technology adoption efficiency

Understanding Adoption of Innovations and Behavior Change to Improve Agricultural Policy

Contact Info

Product

Resources

About