Factors Influencing the Adoption of Improved Rice Varieties in Rwanda: An Application of the Conditional Logit Model (CLM)

2014 ◽  
pp. 267-279
Author(s):  
J. S. Mutware ◽  
K. Burger
Keyword(s):  
Logit Model ◽  
Conditional Logit Model ◽  
Rice Varieties ◽  
Conditional Logit ◽  
Factors Influencing

A Heterogeneous Conditional Logit Model of Choice

1988 ◽  
Vol 6 (3) ◽  
pp. 391 ◽  
Author(s):  
Joel H. Steckel ◽  
Wilfried R. Vanhonacker
Keyword(s):  
Logit Model ◽  
Conditional Logit Model ◽  
Conditional Logit

scholarly journals The Value of Social Interactions and Incentives on the Use of a Digital Contact Tracing Tool Post COVID-19 Lockdown in Singapore

2021 ◽  
Author(s):  
Zhilian Huang ◽  
Huiling Guo ◽  
Hannah YeeFen Lim ◽  
Kia Nam Ho ◽  
Evonne Tay ◽  
...  
Keyword(s):  
Social Interactions ◽  
Discrete Choice ◽  
Logit Model ◽  
Choice Experiment ◽  
Public Hospital ◽  
Contact Tracing ◽  
Monetary Incentives ◽  
Conditional Logit Model ◽  
Conditional Logit ◽  
Trade Offs

Abstract BackgroundWe assessed the preferences and trade-offs for social interactions, incentives, and being traced by a digital contact tracing (DCT) tool post lockdown in Singapore.MethodsWe conducted a discrete choice experiment (DCE) among visitors of a large public hospital in Singapore between July 2020 – February 2021. Respondents were sampled proportionately by gender and four age categories (21 – 80 years). The DCE questionnaire had three attributes (1. Social interactions, 2. Being traced by a DCT tool, 3. Incentives to use a DCT tool) and two levels each. The final dataset comprised 3839 respondents after dropping 53 with “irrational” responses. Panel fixed conditional logit model was used to analyze the data.ResultsRespondents were more willing to trade being traced by a DCT tool for social interactions than incentives and unwilling to trade social interactions for incentives. The proportion of respondents preferring no incentives and could only be influenced by their family members increases with age. Among proponents of monetary incentives, the preferred median value for a month’s usage of DCT tools amounted to S$10 (USD7.25) and S$50 (USD36.20) for subsidies and lucky draw.ConclusionsDCE can be used to elicit profile-specific preferences to optimize the uptake of DCT tools during a pandemic. Social interactions are highly valued by the population, who are willing to trade them for being traced by a DCT tool during the COVID-19 pandemic. Although a small amount of incentive is sufficient to increase the satisfaction of using a DCT tool, incentives alone may not increase DCT tool uptake.

A conditional logit model of collegiate major selection

1982 ◽  
Vol 20 (1) ◽  
pp. 81-92 ◽  
Author(s):  
Donald J Milley ◽  
Richard H Bee
Keyword(s):  
Logit Model ◽  
Conditional Logit Model ◽  
Major Selection ◽  
Conditional Logit

Valuing biodiversity of Dachigam National Park: a choice experiment application

2020 ◽  
Vol 31 (6) ◽  
pp. 1569-1585
Author(s):  
Mohammad Younus Bhat ◽  
M.S. Bhatt ◽  
Arfat Ahmad Sofi
Keyword(s):  
Logit Model ◽  
Choice Experiment ◽  
National Park ◽  
Conditional Logit Model ◽  
Content Type ◽  
Biological Resources ◽  
Conditional Logit ◽  
Park Area ◽  
Dachigam National Park ◽  
Research And Education

PurposeBiodiversity loss has become widespread since current rates are potentially catastrophic for species and habitat integrity, and the Dachigam National Park in Jammu and Kashmir (India) is not a distinctive case. Therefore, the main objective of this study is to elicit the willingness to pay (WTP) for biodiversity conservation of the Park.Design/methodology/approachA survey-based choice experiment method was carried out at the Dachigam National Park, an area that is threatened by several anthropogenic pressures. Attributes selected for analysis through choice experiments were endangered species, national park area, research and education opportunities the park withholds. To estimate WTP, a monetary variable involving an increase in entry fee was also incorporated. To obtain the estimates, the authors use the augmented conditional logit model.FindingsWTP for the selected attributes per visitor turned out to be ₹302.07 for enhancing the population of endangered species, ₹121.91 for improvement in the park area and ₹171.64 for increasing research and education opportunities the park withholds.Research limitations/implicationsThough the study uncovers very important aspects of evaluating the biological resources, albeit with some limitations. The study estimates WTP for biodiversity conservation using a conditional logit model, which is based on a specific area and population sample. It would be better if a broader sample is considered to trace out the findings for meaningful generalization. Besides, the results can be replicated for similar kinds of samples.Practical implicationsWith the use of benefits transfer method, this study aims to provide policymakers with useful information to manage biodiversity attributes across the Himalayan region.Originality/valueThe main contribution of this study is to provide a critical understanding of the valuation to facilitate the concerned body for better planning and management of biological resources. The findings of the present study can be used as an indicator of the inherent economic importance of biological resources across the Himalayan range for their better management and conservation that can help in ensuring sustainable utilization of these resources.

scholarly journals Work, childcare, or both? Experimental evidence on the efficacy of childcare subsidies in raising parental labor supply

2019 ◽  
Author(s):  
Christoph Zangger ◽  
Janine Widmer ◽  
Sandra Gilgen
Keyword(s):  
Labor Supply ◽  
Logit Model ◽  
Marginal Utility ◽  
Factorial Survey ◽  
Conditional Logit Model ◽  
High Expectations ◽  
Expected Effect ◽  
Conditional Logit ◽  
Policy Tool ◽  
Using Data

As a policy tool aimed at raising parental labor supply, childcare subsidies come with high expectations. Using data from a factorial survey, we examine whether childcare subsidies reach their goal. Because of the simultaneity of the decision to take up a job and arranging childcare, we experimentally alter hypothetical income (e.g., gross earnings from a job, income from other sources) as well as aspects of the childcare setting including subsidy levels. Using an alternative specific conditional logit model, we show that subsidies have the expected effect of increasing parents’ labor supply. Moreover, the results from simulations based on the estimated utility function show that varying subsidy levels have different effects on subgroups of parents. Subsidies are especially efficient in raising the labor supply of high income, Swiss-born parents, and especially for women. We also find that subsidies already have the desired effect at 25% of total childcare costs and that the marginal utility of higher subsidy levels decreases quite sharply beyond that threshold. Subsidies covering 25% of the total costs for childcare lead to an approximately 3 hours per week increase in the labor supply of women.

What Influences Rice Farmers’ Choices of Credit Sources in Côte d’Ivoire? An Econometric Analysis using the Multinomial Conditional Logit Model

2022 ◽  
pp. 146499342110664
Author(s):  
N’Banan Ouattara ◽  
Xueping Xiong ◽  
Moussa Bakayoko ◽  
Trazié Bertrand Athanase Youan Bi ◽  
Dessalegn Anshiso Sedebo ◽  
...  
Keyword(s):  
Cote D'ivoire ◽  
Logit Model ◽  
Côte D’Ivoire ◽  
Smallholder Farmers ◽  
Credit Market ◽  
Rice Farming ◽  
Conditional Logit Model ◽  
Cote D’Ivoire ◽  
Conditional Logit ◽  
Rice Farmers

In Côte d’Ivoire, the low participation of smallholder farmers in the credit market remains a matter of concern. This study examines the key determinants of rice farmers’ participation in the credit market. We use a Multinomial Conditional Logit model to consider the characteristics related to the use of different credit sources. A total of 588 rice farmers were randomly sampled from seven rice areas. Our findings reveal that gender, age, education level, experience in rice farming, rice plot size, lowland rice farming, extension contact, membership of a farmer-based organization, marketing of paddy rice, and off-farm income significantly influence the use of different credit sources. While credit requirements such as saving plus collateral, kinship/friendship, membership, favoured client, loan maturity, and the distance between borrowers and lenders are credit source-specific variables that significantly determine rice farmers’ choices between different credit sources. These empirical results show that in addition to farmer-specific variables, policymakers should consider the characteristics of credit sources for developing a credit market suitable for smallholder farmers.

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