A Bayesian Approach to Explaining Sequential Adoption of Components of a Technological Package

Leathers, Howard; Smale, Mélinda

doi:10.2307/1242825

Cited by 99 publications

(59 citation statements)

References 10 publications

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“…Other models examine intensity of adoption to account for either risk management, experimentation, or a combination thereof (Feder 1980;Leathers and Smale 1991;Smale, et al 1994). Hazard models can be used to estimate time until adoption of a new technology (Abdulai and Huffman 2005).…”

Section: A Theoretical Frameworkmentioning

confidence: 99%

Farmers' Heterogeneous Valuation of Laser Land Leveling in Eastern Uttar Pradesh: An Experimental Auction to Inform Segmentation and Subsidy Strategies

Lybbert¹,

Magnan²,

Bhargava³

et al. 2012

American J Agri Economics

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Demand heterogeneity often makes it profitable for firms to price and promote goods and services differently in different market segments. When private consumption brings public benefits, this same heterogeneity can be used to develop targeted public subsidies. We explore the design of public-private targeting and segmentation strategies in the case of a resourceconserving agricultural technology in India. To understand farmers' heterogeneous demand for Laser Land Leveling (LLL), we conducted an experimental auction for LLL services with an integrated randomized control trial to estimate the private benefits of the technology. We use graphical and econometric approaches to characterize farmer demand for LLL. We then add detailed cost data from LLL providers to simulate and evaluate several potential targeted delivery strategies based on measures of cost effectiveness of expanded diffusion of LLL and market surplus in a welfare framework. These simulations demonstrate inherent tradeoffs between increasing the amount of land that is leveled and expanding the number of farmers adopting the technology. While segmenting and targeting are popular elements of many publicprivate partnerships to develop and disseminate agricultural technologies, formulating and implementing effective delivery strategies requires a rich understanding of costs, benefits and demand. Our experimental approach generates such an understanding and may be relevant in other contexts.2

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Section: A Theoretical Frameworkmentioning

confidence: 99%

Farmers' Heterogeneous Valuation of Laser Land Leveling in Eastern Uttar Pradesh: An Experimental Auction to Inform Segmentation and Subsidy Strategies

Lybbert¹,

Magnan²,

Bhargava³

et al. 2012

American J Agri Economics

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show abstract

“…This has led to them switching from furrow irrigation and the center pivot system to a more water-efficient system such as subsurface drip or other precision mounted irrigation systems [4,5]. Farmers consider one or more technologies, evaluate their usefulness, and then decide to adopt the technology that they perceive will meet their economic and environmental goals [6,7]. A farmer's positive experience with one technology is likely to affect their decision to adopt other similar technologies [8].…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting the Choice, Intensity, and Allocation of Irrigation Technologies by U.S. Cotton Farmers

Pokhrel

Paudel

Segarra

2018

Water

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Abstract:We use the 2013 cotton precision farming survey data to study the adoption of irrigation technologies by cotton farmers in 14 states of the United States. We find that farmers with a higher irrigated yield, and who are from the Southern Plains (Texas and Oklahoma), adopt water-efficient irrigation technologies, such as sub-surface drip and trickle irrigation technologies. There are 10 irrigation technologies that farmers can adopt for cotton production in these 14 cotton-growing states. The intensity of the irrigation technologies, as measured by the number of irrigation technologies adopted in cotton production, is affected by the irrigated cotton yield realized, land holding (total land owned), education, computer use, and the origin of the cotton farmer being from the Southern Plains. We use a multivariate fractional regression model to identify land allocation by the different irrigation technologies used. Our results indicate that significant variables affecting land allocation with different irrigation technologies are the age of the operator, the cover crop, the information sources used, the per acre irrigated yield, the education, and the cotton farmer being from the Southern Plains.

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“…Among the various socio-economic, structural or demographic variables used in the numerous studies, risk has often been considered as a major factor reducing the rate of adoption of any kind of innovation (Jensen 1982;Lindner et al 1982;Lindner 1987;Tsur et al 1990; Leathers and Smale 1992;Feder and Umali 1993;Abadi Ghadim and Panell 1999;Marra et al 2003). Antle's departure point was to establish a set of general conditions under which standard econometric techniques can be used to identify and estimate risk attitude parameters as part of a structural econometric model, under less restrictive conditions.…”

Section: Introductionmentioning

confidence: 99%

Adoption of New Irrigation Technology Under Production Risk

Torkamani

Shajari

2007

Water Resour Manage

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This paper investigates the factors affecting adoption of new irrigation technologies and also addresses the linkage between this type of technology and production risk. The risk-premium associated with the use of water is estimated by adapting a momentbased approach. Farm-level data were collected from a sample of 187 wheat farms, located in the three major districts of Fars province of Iran during the years 2002 and 2003. Results of this study demonstrate that the risk premium decrease with new irrigation technology. Also, it is concluded that the farmer-specific relative risk premium has positive and significant effect on the decision to adopt the new irrigation technologies. So, farmers that are more risk-averse with respect to their use of water are more likely to adopt new irrigation technologies that allow them to save water and decrease their production (yield) risk.

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A Bayesian Approach to Explaining Sequential Adoption of Components of a Technological Package

Cited by 99 publications

References 10 publications

Farmers' Heterogeneous Valuation of Laser Land Leveling in Eastern Uttar Pradesh: An Experimental Auction to Inform Segmentation and Subsidy Strategies

Farmers' Heterogeneous Valuation of Laser Land Leveling in Eastern Uttar Pradesh: An Experimental Auction to Inform Segmentation and Subsidy Strategies

Factors Affecting the Choice, Intensity, and Allocation of Irrigation Technologies by U.S. Cotton Farmers

Adoption of New Irrigation Technology Under Production Risk

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