Ambiguity Aversion and Portfolio Choice in Small-Scale Peruvian Farming

Author(s):  
James C. Engle Warnick ◽  
Javier Escobal ◽  
Sonia C. Laszlo

Abstract While the effect of risk aversion on farmers' decision-making has long been documented, far less is known about the effect of ambiguity aversion. We argue that ambiguity aversion is just as relevant to their decision-making process because they are uncertain about the yield distributions generated by new technologies. By experimentally measuring risk and ambiguity aversion in rural Peru, we provide new evidence on the role of ambiguity aversion on farm decisions in developing countries: ambiguity aversion, not risk aversion, reduces the likelihood that farmers plant more than one variety of their main crop.

2013 ◽  
Vol 29 (3) ◽  
pp. 277-290 ◽  
Author(s):  
Bridget Bwalya Umar

AbstractDifferent theories have been posited that try to explain the decision-making process of smallholders especially regarding the adoption of new technologies or new agricultural techniques. The objective of this paper is to review and re-assess the dominant household production theories to explain the decision making of smallholders practicing conservation agriculture (CA) in the southern, eastern, and central provinces of Zambia. It also discusses the potential role of CA toward economic development. It finds that the CA smallholders studied did not aim to maximize profits but tried to secure household consumption from their own production before any other considerations in risky and uncertain environments. Their response to economic incentives was contingent on minimizing risks associated with securing a minimum level of livelihood and investing into local forms of insurance. This paper concludes that the ability for CA to contribute to rural livelihoods and economic development would depend on how adequately the factors that hinder smallholder agricultural development in general are addressed.


Author(s):  
Agata Mardosz-Grabowska

Organizations are expected to act rationally; however, mythical thinking is often present among their members. It refers also to myths related to technology. New inventions and technologies are often mythologized in organizations. People do not understand how new technologies work and usually overestimate their possibilities. Also, myths are useful in dealing with ambivalent feelings, such as fears and hopes. The text focuses on the so-called “big data myth” and its impact on the decision-making process in modern marketing management. Mythical thinking related to big data in organizations has been observed both by scholars and practitioners. The aim of the chapter is to discuss the foundation of the myth, its components, and its impact on the decision-making process. Among others, a presence of a “big data myth” may be manifested by over-reliance on data, neglecting biases in the process of data analysis, and undermining the role of other factors, including intuition and individual experience of marketing professionals or qualitative data.


2018 ◽  
Vol 19 (2) ◽  
pp. 140-161 ◽  
Author(s):  
◽  
Benno Torgler ◽  
Sascha L. Schmidt

Abstract Despite its prominence in the economic literature, our knowledge regarding the role of game outcome uncertainty (GOU) in spectator decision-making is fairly limited. Even worse, studies testing the uncertainty of outcome hypothesis (UOH) by exploring TV demand for European football have further intensified the original ambiguity. In this paper, we revisit the role of GOU in spectator decision-making by testing the UOH with regard to two different sporting products: (1) domestic league and (2) knockout tournament games. Analyzing TV demand for almost 1,500 German football games, we find support for the UOH in league, though not in knockout tournament games.


Author(s):  
Aristide Maniriho ◽  
Edouard Musabanganji ◽  
Philippe Lebailly

This study attempted to examine the role of institutions in boosting rural and agricultural development in the region of the Volcanic Highlands of Rwanda. Both qualitative and quantitative data were collected from a random sample of 401 small-scale farmers through a questionnaire. Data were analyzed using a weighted least-squares method to account for heteroscedasticity, a common issue in cross-sectional studies. Results from crop output function reveal a positive and significant effect of cooperative membership, a negative but significant effect of extension services, and a negative non-significant effect of land tenure, credit access, and market access on farm production, respectively. In terms of net farm income function, the results demonstrate that farmer cooperation, land tenure, extension services, and access to output markets have a positive, non-significant influence, but that access to finance has a negative non-significant effect. Results also point to a positive and significant effect of some household characteristics, namely family size, farming experience, land size, and farm yield, on farm production. As for net farm income, education of the head, family size, farm experience, land size, farm yield, selling price, and cattle proved to be among primary determinants. It was therefore suggested that agricultural sector programs and activities should be readapted and strengthened in order to leverage rural and agricultural development in Rwanda.


2020 ◽  
Vol 12 (23) ◽  
pp. 10087
Author(s):  
Rafael Lizarralde ◽  
Jaione Ganzarain ◽  
Mikel Zubizarreta

The central role of R&D centers in the advancement of technology within industrial enterprises is undeniable and clearly affects their strategies, their competitiveness and their business sustainability. R&D centers assume responsibility for technology recognition, collection, acquisition, development and transition. Among their activities, the efficient choice of emerging technologies in the Technology Management Process is becoming a real challenge. In such heterogeneous scenarios, Multiple Criteria Decision Making (MCDM) models are commonly proposed as an appropriate decision-making approach. Multiple research works address the selection of particular technologies in industrial applications, but very few references can be found related to research institutions, and R&D centers in particular. Therefore, a decision-making model is provided in this study following the MIVES multi criteria method for the assessment of one or more technologies. The model is then applied to two case studies related to the selection process of new technologies at a Spanish R&D Center specialized in manufacturing.


2017 ◽  
Author(s):  
John R. Nofsinger ◽  
Fernando Patterson ◽  
Corey A. Shank ◽  
Robert T. Daigler

Universe ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. 81
Author(s):  
Susana Cebrián

In the direct detection of the galactic dark matter, experiments using cryogenic solid-state detectors or noble liquids play for years a very relevant role, with increasing target mass and more and more complex detection systems. But smaller projects, based on very sensitive, advanced detectors following new technologies, could help in the exploration of the different proposed dark matter scenarios too. There are experiments focused on the observation of distinctive signatures of dark matter, like an annual modulation of the interaction rates or the directionality of the signal; other ones are intended to specifically investigate low mass dark matter candidates or particular interactions. For this kind of dark matter experiments at small scale, the physics case will be discussed and selected projects will be described, summarizing the basics of their detection methods and presenting their present status, recent results and prospects.


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