scholarly journals Drivers and Barriers Influencing the Willingness to Adopt Technologies for Variable Rate Application of Fertiliser in Lower Austria

Agronomy ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1965
Author(s):  
Julia Blasch ◽  
Francesco Vuolo ◽  
Laura Essl ◽  
Bianca van der Kroon
Keyword(s):  
Choice Experiment ◽  
Latent Class ◽  
Mixed Logit ◽  
Farming System ◽  
Farm Size ◽  
Variable Rate ◽  
Variable Rate Application ◽  
Willingness To Adopt ◽  
Technological Level ◽  
Latent Class Logit

Even though a broad range of technologies for variable rate application of nitrogen fertiliser is available, there are hardly any documented cases of their use in Austria. In this study, the drivers and barriers of adoption have been investigated. A survey of 242 farmers in Lower Austria was conducted. The survey covered the farmers’ economic situation, concerns, and expectations regarding the future of their farms and their interest in precision farming technologies. A choice experiment was included in the survey to elicit farmers’ preferences for different features of variable rate application technologies. A series of multinomial logit, mixed logit and latent class logit models were run to analyze the choice experiment. Most farmers were interested in variable rate application, whereas technology costs, yield and environmental improvements were found to be important drivers of adoption. Also, farm size, farming system, technological level and network activities seem to play an important role in the uptake of variable rate application technologies.

scholarly journals Farmer preferences for adopting precision farming technologies: a case study from Italy

2020 ◽  
Author(s):  
J Blasch ◽  
B van der Kroon ◽  
P van Beukering ◽  
R Munster ◽  
S Fabiani ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Choice Experiment ◽  
Latent Class ◽  
Precision Farming ◽  
Logit Models ◽  
Willingness To Adopt ◽  
Latent Class Logit ◽  
Fertiliser Use

Abstract Precision farming (PF) technologies can help to mitigate the environmental impact of agriculture by reducing fertiliser use and irrigation while saving cost for the farmer. However, these technologies are not widely adopted in Europe. We study farmers’ willingness to adopt PF technologies based on a choice experiment. Among other determinants, we explore the role of social influence for the valuation of PF technology features. The data are analysed using mixed and latent class logit models. Our results show that knowledge of fellow farmers who adopted the technology positively influences the valuation of PF technology features, stressing the importance of networks.

scholarly journals Using Market Segmentation Analysis to Identify Consumer Preferences for Fresh Peach Attributes

HortScience ◽  
2018 ◽  
Vol 53 (11) ◽  
pp. 1664-1668 ◽  
Author(s):  
Ruchen Zhou ◽  
Chengyan Yue ◽  
Shuoli Zhao ◽  
R. Karina Gallardo ◽  
Vicki McCracken ◽  
...  
Keyword(s):  
Market Segmentation ◽  
Choice Experiment ◽  
Online Survey ◽  
Latent Class ◽  
Consumer Preferences ◽  
The United States ◽  
Peach Fruit ◽  
Segmentation Analysis ◽  
Heterogeneous Preference ◽  
Latent Class Logit

Consumer preferences for attributes of fresh peach fruit in the United States are largely unknown on a national basis. We used a choice experiment to explore market segmentation based on consumer heterogeneous preference for fruit attributes including external color, blemish, firmness, sweetness, flavor, and price. We collected the data using an online survey with 800 U.S. consumers. Using a latent class logit model, we identified three segments of consumers differing by different sets of preferred quality attributes: experience attribute-oriented consumers, who valued fruit quality (48.8% of the sample); search attribute-oriented consumers, who valued fruit appearance (33.7% of the sample); and balanced consumers, who considered search attributes and experience attributes but who valued each in a balanced way (17.5% of the sample). Each group demonstrated differentiated demographics and purchasing habits. The results have important marketing implications for peach breeders and suppliers.

scholarly journals Spontaneous Variety-Seeking Meal Choice in Business Canteens Impedes Sustainable Production

2021 ◽  
Vol 13 (2) ◽  
pp. 746
Author(s):  
Pascal Ohlhausen ◽  
Nina Langen
Keyword(s):  
Choice Experiment ◽  
Sustainable Development Goals ◽  
Latent Class ◽  
Service Providers ◽  
Sustainable Production ◽  
Online Questionnaire ◽  
Variety Seeking ◽  
The Sustainable Development ◽  
Production And Consumption ◽  
Development Goals

Sustainable meal choices in the out-of-home catering market are essential to attaining the Sustainable Development Goals. This study investigated consumers’ acceptance of different features that help service providers to work more sustainably. For this purpose, data of a choice experiment and a supporting online questionnaire were analyzed using latent class analysis (LCA) and the data of n = 373 employees. Examined attributes in the choice experiment were menu variety, menu type, ordering system, ingredients and price. LCA led to four consumer segments: variety seekers (27.6%), spontaneous decisionmakers—vegetarian (25.7%), spontaneous decisionmakers—meat (24.1%) and vegetarians/vegans (22.6%). Results showed that consumers in all four segments expected to have the choice between different menus in company canteens. Moreover, they preferred spontaneous choice to preordering. Both preferences hamper sustainable production and consumption in the catering sector.

Preferences Toward COVID-19 Diagnostic Testing Features: Results From a National Cross-Sectional Survey

2021 ◽  
pp. 089011712110340
Author(s):  
Bhagyashree Katare ◽  
Shuoli Zhao ◽  
Joel Cuffey ◽  
Maria I. Marshall ◽  
Corinne Valdivia
Keyword(s):  
Logit Model ◽  
Nasal Swab ◽  
Latent Class ◽  
Diagnostic Testing ◽  
Mixed Logit ◽  
Monetary Incentive ◽  
Monetary Incentives ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Nationally Representative

Purpose: Describe preferences toward COVID-19 testing features (method, location, hypothetical monetary incentive) and simulate the effect of monetary incentives on willingness to test. Design: Online cross-sectional survey administered in July 2020. Subjects: 1,505 nationally representative U.S. respondents. Measures: Choice of preferred COVID-19 testing options in discrete choice experiment. Options differed by method (nasal-swab, saliva), location (hospital/clinic, drive-through, at-home), and monetary incentive ($0, $10, $20). Analysis: Latent class conditional logit model to classify preferences, mixed logit model to simulate incentive effectiveness. Results: Preferences were categorized into 4 groups: 34% (n = 517) considered testing comfort (saliva versus nasal swab) most important, 27% (n = 408) were willing to trade comfort for monetary incentives, 19% (n = 287) would only test at convenient locations, 20% (n = 293) avoided testing altogether. Relative to no monetary incentives, incentives of $100 increased the percent of testing avoiders (16%) and convenience seekers (70%) that were willing to test. Conclusion: Preferences toward different COVID-19 testing features vary, highlighting the need to match testing features with individuals to monitor the spread of COVID-19.

Evaluation of Centrifugal Spreader Response to Variable Rate Application by Using Task File Data

2020 ◽  
Vol 53 (2) ◽  
pp. 15804-15809
Author(s):  
Galibjon M. Sharipov ◽  
Andreas Heiß ◽  
Hans W. Griepentrog ◽  
Dimitrios S. Paraforos
Keyword(s):  
Variable Rate ◽  
Variable Rate Application

scholarly journals Experts’ preferences for sarcopenia outcomes: a discrete-choice experiment from a working group of the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) in collaboration with the European Union of Geriatric Medicine Society (EUGMS)

2021 ◽  
Author(s):  
Charlotte Beaudart ◽  
◽  
Jürgen M. Bauer ◽  
Francesco Landi ◽  
Olivier Bruyère ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Musculoskeletal Diseases ◽  
Geriatric Medicine ◽  
Mixed Logit ◽  
The European Union ◽  
Domestic Activities

Abstract Background and aims To assess experts’ preference for sarcopenia outcomes. Methods A discrete-choice experiment was conducted among 37 experts (medical doctors and researchers) from different countries around the world. In the survey, they were repetitively asked to choose which one of two hypothetical patients suffering from sarcopenia deserves the most a treatment. The two hypothetical patients differed in five pre-selected sarcopenia outcomes: quality of life, mobility, domestic activities, fatigue and falls. A mixed logit panel model was used to estimate the relative importance of each attribute. Results All sarcopenia outcomes were shown to be significant, and thus, important for experts. Overall, the most important sarcopenia outcome was falls (27%) followed by domestic activities and mobility (24%), quality of life (15%) and fatigue (10%). Discussion and conclusion Compared to patient’s preferences, experts considered falls as a more important outcome of sarcopenia, while the outcomes fatigue and difficulties in domestic activities were considered as less important.

Small change: individual farm work and collective life in a western Nigerian savanna town, 1969–88

Africa ◽  
1992 ◽  
Vol 62 (4) ◽  
pp. 465-489 ◽  
Author(s):  
Jane I. Guyer
Keyword(s):  
Farming System ◽  
Farm Size ◽  
Small Scale ◽  
Cropping Patterns ◽  
Farm Work ◽  
Small Change ◽  
Returns To Labour ◽  
Individual Farm ◽  
Ceremonial Life ◽  
Nigerian Savanna

AbstractA comparison of data collected in western Nigeria (the Yoruba area) in 1968-69 and 1988 suggests that small-scale male farmers' patterns of work remained quite similar in the total amount of work they did and in the amount by task. This finding seemed surprising, since the study area lies in the food supply hinterland of the rapidly growing cities of Ibadan, Lagos and Abeokuta. The farming system has changed in several ways in response to increased urban demand and improved transport, including an increase in farm size on the part of male farmers. Changed cropping patterns, the increased use of hired labour and somewhat increased returns to labour seem only partly to account for the persistence. Analysis of the work data in terms of its timing, rather than in terms of time, suggests that farmers are tending to work at the same task in longer stretches ofconsecutive days, and this, in turn, is related to the marked rescheduling of traditional ceremonial life and the intensified politico-associational life moved to the weekend.

Attribute Non-Attendance and Consumer Preferences for Online Food Products in Germany

2020 ◽  
Vol 69 (1) ◽  
pp. 31-48
Author(s):  
P. Christoph Richartz ◽  
Lukas Kornher ◽  
Awudu Abdulai
Keyword(s):  
Latent Class ◽  
Consumer Preferences ◽  
Mixed Logit ◽  
Meat Products ◽  
Food Product ◽  
Latent Class Models ◽  
Preference Heterogeneity ◽  
Significant Heterogeneity ◽  
Processing Strategies ◽  
Class Models

In this article, we apply a choice experiment meth-od to examine consumers’ preferences for online food product attributes, using survey data for German consumers for meat products. We use both mixed logit and latent class models to analyze preference heterogeneity and sources of heterogeneity, as well as endogenous attribute attendance models to account for consumers’ attribute processing strategies. The empirical results reveal significant heterogeneity in preferences for online meat attributes among consumers. We also find that consumers’ willingness to pay estimates are highly influenced by their attribute processing strategies.

The sensitivity of economic gains from high-speed planting

2017 ◽  
Vol 8 (2) ◽  
pp. 662-667
Author(s):  
C. R. Dillon ◽  
J. Shockley ◽  
T. Mark
Keyword(s):  
Optimization Model ◽  
Technological Progress ◽  
High Speed ◽  
Operating Cost ◽  
Cost Savings ◽  
Variable Rate ◽  
Net Returns ◽  
Variable Rate Application ◽  
Technology Changes ◽  
Profit Potential

Recent technological progress in high-speed planting (HSP) warrants economic analysis of its potential. A whole farm optimization model of a 1000 ha Kentucky, USA corn and soybean operation finds that operating cost savings (labor, fuel, tractor repairs) and yield increases couple in recovering annual ownership costs of HSP technology. Changes in farm net returns are positive for all 12-row planter scenarios and all double speed cases for the 16-row planter but not for a 50% increase in speed with the 16-row planter. The greatest profit potential occurred when adopting the combination of HSP and variable rate application (VRA), with increased net returns of up to 6.57% compared to conventional speed no VRA for the 12-row planter.

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