nep-dcm New Economics Papers
on Discrete Choice Models
Issue of 2017‒09‒24
four papers chosen by
Edoardo Marcucci
Università degli studi Roma Tre

  1. Determinants of the Adoption of Organic Tea Production in Northern Vietnam: A Robustness Analysis By Nicolas Lampach; Phu Nguyen-Van; Nguyen To-The
  2. Provision of Personal Information and the Willingness-to-Pay for Receiving Critical Information in Time of an Unprecedented Disaster By Sakurai, Naoko; Otsuka, Tokio; Mitomo, Hitoshi
  3. The value of punishment of free riders: A case study on the receiving fee system of the Japanese public broadcasting organization By Kakizawa, Hisanobu
  4. A Study on the Perceived Value of Mobile Service Using the Contingent Valuation Method in Korea By Nam, Sangjun

  1. By: Nicolas Lampach; Phu Nguyen-Van; Nguyen To-The
    Abstract: Increasing consumer awareness on sustainable and healthy food choices gave rise to a growing demand for organic tea in the past decades. Most of this demand is met by imports from developing countries. This article examines the main factors affecting the choice of farm households to adopt organic tea production in Northern Vietnam. We apply a logit model to survey data on 241 Vietnamese tea farming households. We assess the robustness of the results by addressing three important statistical issues: (i) regressor endogeneity, (ii) unobserved heterogeneity at farm level and (iii) missing values. The main results are chiefly robust and largely in line with the theoretical predictions. We find that farm households with higher revenues and located in rich natural and physical environments are significantly more inclined to adopt organic tea production. Furthermore, the analysis reveals that farm households being consulted by extension agents and belonging to a tea association increase the odds for the adoption of organic tea cultivation.
    Keywords: Organic farming; Regressor endogeneity; Unobserved heterogeneity; Multiple imputations method; Tea production; Vietnam.
    JEL: Q15 O33 Q18
    Date: 2017
    URL: http://d.repec.org/n?u=RePEc:ulp:sbbeta:2017-24&r=dcm
  2. By: Sakurai, Naoko; Otsuka, Tokio; Mitomo, Hitoshi
    Abstract: Followingthe Great East Japan Earthquake, information and communications technology (ICT) is expected to play an important role in future pioneeringdisaster prevention programs and post-disaster reconstruction. The increase insmartphone users allows big data to be accumulated from such diverse sourcesaspersonal information posted on social networking services(SNS), location data, and communication histories. Japan is willing to promote the useof this big data forvarious business opportunities; however,people remain anxiousabout personal information being divulged.To use big data duringdisasters, it is important to conduct research and surveys focused on Internet users’perspectives. The purpose of this paper is to analyze internet users’ evaluation about providing personal information and to measure the willingness-to-pay (WTP) for receiving information services at the time of large-scale disasters. In order to quantify internet users’ evaluation about providing personal information, we drew up a questionnaire and conducted a survey. To obtain more accurate and practical estimation and evaluation, we adopted the Contingent Valuation Method (CVM). To identify the factors that impacted recipients’ WTP for providing personal information and to estimate the marginal contribution of each attribute to the value of WTP. We assessed the value of providing personal information at the time of large-scale disastersfor ordinary internet users quantitatively. In the case of location information, the average WTP was found to be JPY2,943. The estimated average WTP for the five cases ranged between JPY2,202 and JPY3,618, in which the highest amount was found to be for "Medical history" and the lowest for "Measurements." In order to identify the factors that impacted the respondents’ WTP, we estimated the marginal contribution of the 21 attributes to the value of WTP.
    Keywords: Unprecedented Disaster,Personal Information,CVM,WTP,Quantitative Assessment
    Date: 2017
    URL: http://d.repec.org/n?u=RePEc:zbw:itsp17:168538&r=dcm
  3. By: Kakizawa, Hisanobu
    Abstract: Social preferences for the punishment of free riders are critical for generating cooperative behavior in human society. Focusing on the receiving fees of Japan´s public broadcaster, this study analyses how punishment of free riders, that is, the strengthening of legal responses against them, affects the willingness to pay (WTP) of general viewers. Preferences regarding punishments were found to have significant positive effects on WTP. Furthermore, differences of perception about the institutional framework around receiving fees and differences in type concerning cooperative behavior were found to influence these effects clearly.
    Keywords: public goods,social preference,free riding,punishment,WTP
    JEL: D63 H41 K42
    Date: 2017
    URL: http://d.repec.org/n?u=RePEc:zbw:itsp17:168496&r=dcm
  4. By: Nam, Sangjun
    Abstract: Mobile service fee in Korea has become a concerning issue. Although numerous studies have investigated this issue, there is still a lack of studies about the factors related to the dissatisfaction of the mobile service fee. This paper investigates those issues through estimating the gap between perceived value of mobile service and the actual payment. To measure this value and identify the factors affecting it, this paper uses the contingent valuation method with double-bounded dichotomous choice approach. The empirical result shows that usage time of mobile device, the priority of handset subsidy when choosing mobile service plan, and the awareness of mobile service payment system are related to dissatisfaction of mobile service fee. Moreover, the result implies that the mobile service subscribers might be satisfied to their mobile service fee in average. This paper suggested that the regulation for curtailing the retail price of mobile service evenly might not be an effective way to relieve the dissatisfaction of the mobile service fee.
    Date: 2017
    URL: http://d.repec.org/n?u=RePEc:zbw:itsp17:168522&r=dcm

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