Social Networks and Technology Adoption in Northern Mozambique
By O. Bandiera, Imran Rasul. 2006
1,539 citations recorded by the source corpus.
Subfields: General Agricultural and Biological Sciences, Information Systems, Media Technology
View Paper: https://www.semanticscholar.org/paper/afd0212548082143968b1b9119e548b273c7c645
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Agricultural and Biological Sciences
- M. Qaim
- M. Kassie
- Salvatore Di Falco
- Awudu Abdulai
- B. Shiferaw
- Christopher B. Barrett
- H. Teklewold
- K. Otsuka
In Information Systems
- Christopher B. Barrett
- Travis J. Lybbert
- Salvatore Di Falco
- Yogita Shamdasani
- J. Weber
- B. K. Jack
- Camilla Andersson
- M. Wollni
In Media Technology
- B. K. Jack
- Dean S. Karlan
- Marcel Fafchamps
- Thomas Sampson
- Yogita Shamdasani
- Jing Cai
- Salvatore Di Falco
- Debopam Bhattacharya
Citations in the corpus
- Adoption of multiple sustainable agricultural practices in rural Ethiopia (2013, background): “In addition to the classic household characteristics and endowment variables, the survey also collected variables related to social capital and networks that can influence technology adoption decisions (Isham, 2002; Bandiera and Rasul, 2006; Marenya and Barrett, 2007).”
- Adoption of safer irrigation technologies and cropping patterns: Evidence from Southern Ghana (2011, background): “This finding is consistent with the notion that social networks facilitate the flow of information which tends to enhance the adoption of new agricultural technologies (Bandiera and Rasul, 2006). In particular, the results concur with those of Bouma et al. (2008), who find in their study on India a ”
- Learning About a New Technology: Pineapple in Ghana (2010, background): “Γi,t defined in (6) is our crucial control for movements in xi,t induced by correlated growing conditions.”
- Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits (2015, background): “…do indeed learn about the benefits and correct use of new Spielman@cgiar.org ti@ucdavis.edu (K. Gulati). technologies through their social networks (Bandiera and Rasul, 2006; Cai et al., 2015; Conley and Udry, 2010; Maertens, 2013; McNiven and Gilligan, 2012; Munshi, 2004).4 Less is known,…”
- Cultural Change as Learning: The Evolution of Female Labor Force Participation over a Century (2011, background): “See also Foster and Rosenzweig (1995), Conley and Udry (2003), Munshi (2004), Munshi and Myaux (2006), and Bandiera and Rasul (2006) for models and evidence of learning about new technologies.”
- Farm technology adoption in Kenya: a simultaneous estimation of inorganic fertilizer and improved maize variety adoption decisions (2014, background): “Besley and Case (1993), for instance, used a model of learning in a situation where profitability of technology adoption was uncertain and beyond the farmer’s control in India.”
- Seeing is Believing? Evidence from an Extension Network Experiment (2014, background): “Hence, our results corroborate the idea that the “proximity” of the source of information may be the primary constraint on changes in farmer behavior (Munshi, 2004; Feder and Savastano, 2006; Bandiera and Rasul, 2006; Conley and Udry, 2010) and, therefore, that the process of CF selection may affect”
- Social capital and agricultural innovation in Sub-Saharan Africa (2012, background): “One of the potential channels via which social capital affects farmers‟ livelihoods is enhanced adoption of new agricultural technologies (e.g. Narayan and Pritchett 1999; Isham 2002; Bandiera and Rasul 2006).”
- Social Networks and the Decision to Insure (2015, methodology): “(1996)), productivity (Bandiera et al. (2010); Mas and Moretti (2009), Waldinger (2012)), international trade (Chaney (2011)) and skill accumulation (Mookherjee et al.”
- Political Connections and Allocative Distortions (2015, neutral): “…1994), social collateral (Karlan 2007), peer effects (Sacerdote 2001; Lerner and Malmendier 2013; Shue 2013; Fracassi 2014), information flow (Bandiera and Rasul 2006; Conley and Udry 2010; Cohen et al. 2010; Engelberg et al. 2012; Duchin and Sosyura 2013), taste-based discrimination (Hwang…”
- Who Benefits Most from Rural Electrification? Evidence in India (2012, background): “For example, Akerlof and Kranton (2002) and Munshi and Myaux (2006) analyze peer and neighborhood effects in the context of schooling decision, while Bandiera and Rasul (2006) examine the effect of social networks on technology adoption in Mozambique.”
- Rural road infrastructure & agricultural production: Evidence from India (2021, background): “Munshi (2004), Bandiera and Rasul (2006) and Conley and Udry (2010) further explore the role of social learning in the diffusion of new technologies.”