scholarly journals Paying for Digital Information: Assessing Farmers’ Willingness to Pay for a Digital Agriculture and Nutrition Service in Ghana

2021 ◽  
Author(s):  
Melissa Hidrobo ◽  
Giordano Palloni ◽  
Jenny Aker ◽  
Daniel Gilligan ◽  
Natasha Ledlie
Keyword(s):  
Willingness To Pay ◽  
Digital Information ◽  
Nutrition Service ◽  
Digital Agriculture

scholarly journals Paying for digital information: Assessing farmers’ willingness to pay for a digital agriculture and nutrition service in Ghana

2020 ◽  
Author(s):  
Melissa Hidrobo ◽  
Giordano Palloni ◽  
Jenny C. Aker ◽  
Daniel O. Gilligan ◽  
Natasha Ledlie
Keyword(s):  
Willingness To Pay ◽  
Digital Information ◽  
Nutrition Service ◽  
Digital Agriculture

scholarly journals Households' Willingness To Pay And Associated Factors For The Nutrition Services Provided To Pregnant Women At Maternity Waiting Homes In East Wollega, Western Ethiopia

2021 ◽  
Author(s):  
Adisu Ewunetu Desisa ◽  
Teferi Daba Lemma ◽  
Gebeyehu Jeldu chali
Keyword(s):  
Pregnant Woman ◽  
Willingness To Pay ◽  
Marital Status ◽  
Health Facility ◽  
Associated Factors ◽  
Outcome Variable ◽  
Monthly Income ◽  
Maternity Waiting Homes ◽  
Nutrition Service ◽  
Housing Facility

Abstract Background: Maternity waiting home is a housing facility located near qualified medical facilities where a pregnant woman can wait to give birth and provided a nutrition service. In Ethiopia, most (86%) of the maternity waiting homes had no budget allocated from government funds and thus have to rely on communities’ contribution. Yet, very few studies have been conducted so far to evaluate the household’s willingness to pay for the nutrition service. Objective: The study aimed to estimate households’ maximum willingness to pay and its associated factors for the nutrition service provided to a pregnant woman at a maternity waiting homes in East Wollega Zone of Oromia National regional state, Ethiopia, September 2018. Methodology: A community based cross sectional study using double bounded dichotomous choice contingent valuation method was used. Sample size was determined by using single population proportion formula. Data entry and analysis were made using Epi-Data version 3.1 and SPSS for Windows version 20 software respectively. Descriptive statistics of frequency, binary and multivariable logistic regression analysis were performed. The associations between explanatory variables and outcome variable were presented by an Adjusted Odd Ratio and confidence interval. Results: We gathered data from 845 participants (98% response rate). The annual median maximum willingness to pay was 15ETB (US$0.55) per household. Marital status (AOR=3.533, 95% CI=1.007-12.39) and average monthly income (AOR=3.287, 95%CI=1.194-9.049). Moreover, distance from the health facility (AOR = 3.64, 95%CI = 1.256-10.55) and availability of food (AOR=3.714, 95%CI=1.331-10.364), enough beddings (AOR=5.353, 95%CI=2.207-13.010) and cooking utensils (AOR=4.044, 95%CI=1.353-12.088) at a housing facility were found to be predictors. Conclusion and Recommendation: Marital status, monthly income, and distance, availability of food, beddings and cooking utensils at housing facilities were found to be factors influencing maximum willingness to pay. Therefore, health facility managers should avail supplies and equipment at a housing facility.

On-line image readout in CTEM

1994 ◽  
Vol 52 ◽  
pp. 400-401
Author(s):  
K.-H. Herrmann ◽  
W. D. Rau ◽  
R. Sikeler
Keyword(s):  
Primary Electron ◽  
Digital Information ◽  
Electron Hole ◽  
Detection Technology ◽  
Long Time ◽  
On Line ◽  
Electron Image ◽  
Optical Transfer ◽  
Detection Quantum Efficiency ◽  
Technical Solutions

Quantitative recording of electron patterns and their rapid conversion into digital information is an outstanding goal which the photoplate fails to solve satisfactorily. For a long time, LLL-TV cameras have been used for EM adjustment but due to their inferior pixel number they were never a real alternative to the photoplate. This situation has changed with the availability of scientific grade slow-scan charged coupled devices (CCD) with pixel numbers exceeding 106, photometric accuracy and, by Peltier cooling, both excellent storage and noise figures previously inaccessible in image detection technology. Again the electron image is converted into a photon image fed to the CCD by some light optical transfer link. Subsequently, some technical solutions are discussed using the detection quantum efficiency (DQE), resolution, pixel number and exposure range as figures of merit.A key quantity is the number of electron-hole pairs released in the CCD sensor by a single primary electron (PE) which can be estimated from the energy deposit ΔE in the scintillator,

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

Measures of Anchoring in Estimation Tasks and Willingness to Pay

1993 ◽  
Author(s):  
Karen E. Jacowitz ◽  
Daniel Kahneman
Keyword(s):  
Willingness To Pay

Eignung der Willingness-to-pay Methodik in der Rehabilitation. Entwicklung und Evaluation eines Konzeptes zur monetären Bewertung von Gesundheitseffekten in der Rehabilitation

2005 ◽  
Vol 15 (04) ◽  
Author(s):  
M Brach ◽  
D Gerstner ◽  
A Hillert ◽  
E Esteban ◽  
A Schuster ◽  
...  
Keyword(s):  
Willingness To Pay

Determinan Yang Mempengaruhi Perilaku Pembelian Produk Hijau Di Daerah Istimewa Yogyakarta

2019 ◽  
Vol 6 (1) ◽  
pp. 52-68
Author(s):  
Muhammad Mathori ◽  
Uswatun Chasanah
Keyword(s):  
Willingness To Pay ◽  
Environmental Awareness ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Environmental Knowledge ◽  
Test Results ◽  
Purchasing Behavior ◽  
Perceived Effectiveness ◽  
Validity And Reliability ◽  
Green Purchasing

This study aims to identify the determinants that influence the attitudes of consumers of green purchases and the willingness to pay more on green products, specifically on energy-saving lighting products. The variables studied included environmental knowledge, environmental awareness and perceived effectiveness. The sample of this study was 196 students, but out of 196 respondents after the questionnaire was distributed only 189 could be processed. Validity and reliability test results show valid values of loading factors of more than 0.4 while for reliability testing using the cronbach’s alpha criteria above 0.5 indicates reliable. Through the multiple linear regression analysis, the variables of environmental knowledge, environmental awareness and effectiveness are felt to have a positive and significant effect on the attitude of buying and willingness to pay more. Green purchasing attitudes and willingness to pay more have a positive and significant effect on green purchasing behavior. Green purchasing attitudes have a greater influence on green purchasing behavior compared to willingness to pay more.

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