Social Capital and Improved Stoves Usage Decisions in the Northern Peruvian Andes

Adrianzén, Marcos Agurto

doi:10.1016/j.worlddev.2013.07.004

Cited by 31 publications

(15 citation statements)

References 15 publications

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“…Among them, liquidity constraints, intra-household preferences and marketing strategies seem to play significant roles (Hanna et al, 2016;Miller and Mobarak, 2014;Mobarak et al, 2012;David et al, 2016). This paper speaks to this literature and complements other works investigating the role of opinion leaders and peer effects in the adoption of ICS (Miller and Mobarak, 2014;Beltramo et al, 2015;Adrianzén, 2014), by exploring the role of imitation effects. Moreover, the success of our intervention in raising ICS take-up at a market price suggests the importance of transaction costs and of the need for products which respond to local needs and preferences (Lewis and Pattanayak, 2012).…”

Section: Introductionmentioning

confidence: 73%

Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali

et al. 2021

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We investigate the role of social interaction in technology adoption by conducting a field experiment in neighborhoods of Bamako. We invited women to attend a training/marketing session, where information on a more efficient cooking stove was provided and the chance to purchase the product at market price was offered. We randomly provided an information nudge on a peer's willingness to buy an improved cookstove. We find that women purchase and use the product more when they receive information on a peer who purchased (or previously owned) the product, particularly if she is viewed as respected. In general, we find positive direct and spillover effects of attending the session. We also investigate whether social interaction plays a role in technology diffusion. We find that women who participated in the session, but did not buy during the intervention, are more likely to adopt the product when more women living around them own it. We investigate the mechanisms and provide evidence supporting imitation effects, rather than social learning or constraint interaction.

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Section: Introductionmentioning

confidence: 73%

Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali

et al. 2021

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show abstract

Section: Introductionmentioning

confidence: 73%

Social Interaction and Technology Adoption: Experimental Evidence from Improved Cookstoves in Mali

et al. 2017

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in SummaryWe investigate the role of social interaction in technology adoption by conducting a field experiment in neighborhoods of Bamako. We invited women to attend a training/marketing session, where information on a more efficient cooking stove was provided and the chance to purchase the product at market price was offered. We randomly provided an information nudge on a peer's willingness to buy an improved cookstove. We find that women purchase and use the product more when they receive information on a peer who purchased (or previously owned) the product, particularly if she is viewed as respected. In general, we find positive direct and spillover effects of attending the session. We also investigate whether social interaction plays a role in technology diffusion. We find that women who participated in the session, but did not buy during the intervention, are more likely to adopt the product when more women living around them own it. We investigate the mechanisms and provide evidence supporting imitation effects, rather than social learning or constraint interaction. AbstractWe investigate the role of social interaction in technology adoption by conducting a field experiment in neighborhoods of Bamako. We invited women to attend a training/marketing session, where information on a more efficient cooking stove was provided and the chance to purchase the product at market price was offered. We randomly provided an information nudge on a peer's willingness to buy an improved cookstove. We find that women purchase and use the product more when they receive information on a peer who purchased (or previously owned) the product, particularly if she is viewed as respected. In general, we find positive direct and spillover effects of attending the session. We also investigate whether social interaction plays a role in technology diffusion. We find that women who participated in the session, but did not buy during the intervention, are more likely to adopt the product when more women living around them own it. We investigate the mechanisms and provide evidence supporting imitation effects, rather than social learning or constraint interaction.

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“…There is surprisingly little detailed information on uptake of ICS, but some empirical evidence suggests that high use cannot be assumed even when stoves are highly subsidized or given free of charge [9] . For example, just 45% of households in 26 villages in Peru (ranging between 6 and 71% depending on the village) used more efficient wood-burning stoves that were provided free of charge [10] . Key reasons beneficiaries cited for not using ICS are problems with stove quality, the lack of expected gains in fuel efficiency, and the difficulty or changes in cooking methods that are required for successful use.…”

Section: Introductionmentioning

confidence: 99%

Benefits and Costs of Improved Cookstoves: Assessing the Implications of Variability in Health, Forest and Climate Impacts

2012

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Current attention to improved cook stoves (ICS) focuses on the “triple benefits” they provide, in improved health and time savings for households, in preservation of forests and associated ecosystem services, and in reducing emissions that contribute to global climate change. Despite the purported economic benefits of such technologies, however, progress in achieving large-scale adoption and use has been remarkably slow. This paper uses Monte Carlo simulation analysis to evaluate the claim that households will always reap positive and large benefits from the use of such technologies. Our analysis allows for better understanding of the variability in economic costs and benefits of ICS use in developing countries, which depend on unknown combinations of numerous uncertain parameters. The model results suggest that the private net benefits of ICS will sometimes be negative, and in many instances highly so. Moreover, carbon financing and social subsidies may help enhance incentives to adopt, but will not always be appropriate. The costs and benefits of these technologies are most affected by their relative fuel costs, time and fuel use efficiencies, the incidence and cost-of-illness of acute respiratory illness, and the cost of household cooking time. Combining these results with the fact that households often find these technologies to be inconvenient or culturally inappropriate leads us to understand why uptake has been disappointing. Given the current attention to the scale up of ICS, this analysis is timely and important for highlighting some of the challenges for global efforts to promote ICS.

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Social Capital and Improved Stoves Usage Decisions in the Northern Peruvian Andes

Cited by 31 publications

References 15 publications

Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali

Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali

Social Interaction and Technology Adoption: Experimental Evidence from Improved Cookstoves in Mali

Benefits and Costs of Improved Cookstoves: Assessing the Implications of Variability in Health, Forest and Climate Impacts

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