scholarly journals Farmers’ Heterogeneous Willingness to Pay for Farmland Non-Market Goods and Services on the Basis of a Mixed Logit Model—A Case Study of Wuhan, China

2019 ◽  
Vol 16 (20) ◽  
pp. 3876 ◽  
Author(s):  
Yang ◽  
Zhang ◽  
Zhang
Keyword(s):  
Willingness To Pay ◽  
Logit Model ◽  
Mixed Logit ◽  
Market Value ◽  
Status Quo ◽  
Mixed Logit Model ◽  
Ecological Value ◽  
Farmland Protection ◽  
Recreational Value ◽  
The Status

The exploration of different stakeholders’ heterogeneous willingness to pay for farmland ecological value is a fundamental part of understanding the total value of farmland protection and designing a scientific farmland protection policy. Unlike the homogenous assumption used in the previous studies, the mixed logit model of choice experiment method was applied to estimate respondents’ heterogeneous willingness to pay for farmland non-market value (represented by farmland area, farmland fertility, water quality, air quality, species richness, and recreational value) in this study. Data came from a sample of 289 farmers in Wuhan, China who were face-to-face interviewed. Results showed that: (1) Farmers were unsatisfied with the status quo of the present farmland ecological environment and were willing to pay to preserve all the attributes of farmland non-market value. (2) Farmers had a heterogeneous preference for the status quo and recreational value—the error variances of these two attributes were both significant at the 1% level, and their willingness to pay for the farmland non-market value in Wuhan was 1141.88 Yuan/hm2. (3) Farmers’ cognition degree of farmland importance and whether respondents bought medical insurance or not had significant impacts on their willingness to pay. The results can provide the basic foundation for accurate valuation of farmland non-market services, help farmland regulators make the right farmland conversion decisions, and improve the resource allocation efficiency of local financial expenditure during farmland protection in Wuhan.

scholarly journals The Biggest Bang for the Buck: Valuation of Various Components of a Regional Promotion Campaign by Participating Restaurants

2014 ◽  
Vol 46 (2) ◽  
pp. 193-208 ◽  
Author(s):  
Ran Xie ◽  
Olga Isengildina-Massa ◽  
Carlos E. Carpio
Keyword(s):  
South Carolina ◽  
Willingness To Pay ◽  
Logit Model ◽  
Choice Experiment ◽  
Economic Value ◽  
Mixed Logit ◽  
Mixed Logit Model ◽  
Positive Economic ◽  
Level Of Satisfaction

This study examined how various components of the Certified South Carolina campaign are valued by participating restaurants. A choice experiment was conducted to estimate the average willingness to pay (WTP) for each campaign component using a mixed logit model. Three existing campaign components—Labeling, Multimedia Advertising, and the “Fresh on the Menu” program—were found to have a significant positive economic value. Results also revealed that the type of restaurant, the level of satisfaction with the campaign, and the factors motivating participation significantly affected restaurants' WTP for the campaign components.

scholarly journals Determinant Factors of Farmer’s Willingness to Pay for Sustainable Land Management Practices Evidence with Homosha Benishangul Gumuz Region: Application with Multinomial Logit Model, Mixed Logit Model, and Conditional Logit Model

2020 ◽  
Author(s):  
Melaku Tarekegn Takele ◽  
Mehammed Ibrahim Umer
Keyword(s):  
Willingness To Pay ◽  
Land Management ◽  
Logit Model ◽  
Management Practices ◽  
Mixed Logit ◽  
Multinomial Logit Model ◽  
Mixed Logit Model ◽  
Sustainable Land Management ◽  
Conditional Logit Model ◽  
Conditional Logit

Abstract The study examines factors affecting farmer’s willingness to pay for sustainable land management practices in Ethiopia, The study uses primary data collected from 200 households randomly selected from four kebeles of districts in Ethiopia’s Benishangul-Gumuz regional state with 4,800 observations (eight choices for each household). The choice experiment design was done using the R software to efficiently generate an attribute and level combination using fractional factorial design. Data were analyzed using discrete choice models including multinomial logit model, mixed logit model, and conditional logit model using STAT-14. The findings showed that households were aware of the effects of using SLM and benefits of using a bundle of SLM. However, they were challenged by the costs of implementing a bundle of SLM and technologies related to it. Moreover, mean willingness to pay estimates is about 844 to 2540 birr and in case of total willingness to pay households is not less than 66% for a bundle of SLM. Crop-rotation attributes levels are negatively and significantly affect decision for SLM, while conserve-agriculture positively and significantly affects households' decision to adopt a bundle of SLM. Socio-economic (the type of crop, land size, land form, livestock, awareness about SLM and technologies) variables are found to be factors that determine decision to adopt SLM.

Modeling head-on crash severity on NCDOT freeways: a mixed logit model approach

2019 ◽  
Vol 46 (4) ◽  
pp. 322-328 ◽  
Author(s):  
Pengfei Liu ◽  
Wei (David) Fan
Keyword(s):  
Logit Model ◽  
Injury Severity ◽  
Safety Information ◽  
Mixed Logit ◽  
Weather Condition ◽  
Mixed Logit Model ◽  
Young Drivers ◽  
Adverse Weather Condition ◽  
Adverse Weather ◽  
Model Approach

This study employs a mixed logit model approach to evaluate contributing factors that significantly affect the severity of head-on crashes. The head-on crash data are collected from Highway Safety Information System (HSIS) from 2005 to 2013 in North Carolina. The effects that vehicle, driver, roadway, and environmental characteristics have on the injury severity of head-on crashes are examined. The results of this research demonstrate that adverse weather, young drivers, rural roadways, and pickups are found to be better modeled as random-parameters at specific injury severity levels, while others should remain fixed. Also, the model results indicate that driving under the influence of alcohol or drugs, grade or curve roadway configuration, old drivers, high speed limit, motorcycles will increase the injury severity of head-on crashes. Adverse weather condition, two-way divided road, traffic control, young drivers, and pickups will decrease the injury severity of head-on crashes.

scholarly journals Twisting the truth: Foundations of wishful thinking

2020 ◽  
Vol 15 (3) ◽  
pp. 989-1022
Author(s):  
Matthew Kovach
Keyword(s):  
Willingness To Pay ◽  
Risk Sharing ◽  
Choice Behavior ◽  
Exchange Economy ◽  
Status Quo ◽  
Wishful Thinking ◽  
Willingness To Accept ◽  
Considerable Evidence ◽  
The Status ◽  
Future Outcomes

Considerable evidence shows that people have optimistic beliefs about future outcomes. I present an axiomatic model of wishful thinking (WT), in which an endowed alternative, or status quo, influences the agent's beliefs over states and thus induces such optimism. I introduce a behavioral axiom formalizing WT and derive a representation in which the agent overweights states in which the endowment provides a higher payoff. WT is a novel channel through which an endowment may influence choice behavior and provides a coherent explanation for a variety of observed behavior, including choice reversals among nonstatus quo alternatives when the status quo changes. WT leads to inefficient risk sharing in an exchange economy and has unique implications for the gap between willingness to accept and willingness to pay for endowed goods.

Quality and Consumer Choice in Healthcare: Evidence from Kidney Transplantation

2006 ◽  
Vol 5 (1) ◽  
Author(s):  
David H Howard
Keyword(s):  
Kidney Transplantation ◽  
Consumer Choice ◽  
Logit Model ◽  
Mixed Logit ◽  
Mixed Logit Model ◽  
Hospital Level ◽  
Standard Deviation Increase ◽  
Policy Debates ◽  
Medicare Patients ◽  
Insured Patients

AbstractMost studies of competition in health care focus on prices and costs, but concerns about quality play a central role in policy debates. If demand is inelastic to quality, then competition may reduce patient welfare. This study uses a dataset of patient registrations for kidney transplantation in conjunction with a mixed logit model to gauge consumers’ responsiveness to quality when choosing hospitals. Results indicate that at the hospital level, a one-standard deviation increase in the graft-failure rate is associated with a 6% decline in patient registrations. Privately-insured patients are more responsive to quality than Medicare patients, suggesting that insurers consider quality when contracting with providers.

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