Heterogeneous preferences of green vehicles by vehicle size: Analysis of Seoul case

Although there are several policies for promoting green vehicles, green vehicles have yet to penetrate the market to the extent desired. To attain the goal, a complete understanding of consumers’ preferences of green vehicles is essential. This paper proposes and specifies the fuel-type choice models among conventional gasoline vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles, and electric vehicles by vehicle size using the stated preferences data collected in Seoul, Korea. The results highlight the need to accommodate the correlation between similar alternatives and the unobserved heterogeneity within the context of choosing a green vehicle. The choice probabilities of green vehicles are affected by the relative impacts of the vehicles’ attributes and socio-demographic variables, and both of these variables are affected by the sizes of the vehicles. For compact size and mid-size vehicles, the effects of operating costs were less than those of purchase prices; however, for the subcompact vehicles, the effects of operating cost were greater than those of purchase price. The parameter of operating costs was not statistically significant in the full-size model. With respect to electric vehicles, the availability of fuel stations would be more important in Seoul than in the U.S. These results can also be useful for policy makers in that they provide information about the impact of green vehicles’ attributes on the choice probabilities of green vehicles.     

Does country matter in urban organic food products consumption?

The main goal of this paper is to evaluate the possibility of finding international consumer segments in the organic food product (OFP) market. For that purpose, the power of country of residence in discriminating between urban frequent, occasional and non‐consumers of OFP was evaluated; and the most appropriate international segmentation bases for that market were studied. In order to achieve this goal, a survey of organic food consumers from Lisbon (Portuguese) and Berlin (German) was implemented through a structured questionnaire. Upon this, factorial and discriminant analysis was applied to the data. The results highlight the significance of the “Country” variable when distinguishing between groups of urban OFP consumers and non‐consumers as well as between frequent and occasional urban OFP consumers. The different levels of OFP consumption are mostly explained by the level of declared “OFP knowledge”. Therefore, we can conclude that in order to increase the consumption of OFP and dilute the effect of the country variable and to be able to work with international segments, marketers should aim to increase awareness and knowledge on these products. It is important to mention that this study was based on a non‐probabilistic sample and, consequently, generalizations of its conclusions must be made with care.     

The visual impact of agricultural sheds on rural landscapes: The willingness to pay for mitigation solutions and treatment effects

New rural and industrial sheds cause significant transformations determining a negative change in landscape perception. In this paper the willingness to pay (WTP) of residents to mitigate the visual impact of sheds in the rural areas of the UNESCO World Heritage Site “Vineyard Landscape of Piedmont: Langhe-Roero and Monferrato” is estimated through a Choice Experiment (CE). The CE survey was carried out through face-to-face interviews involving 400 residents. The set of mitigation attributes was selected by means of a landscape analysis and presented to respondents using a set of images (close and distant views). Conditional Logit (CLogit) and Mixed Logit (MXL) models both in preference and in WTP space were estimated. From the empirical point of view, the study shows that sheds are generally perceived as negative landscape elements, and that residents are willing to pay for mitigation solutions, such as tree lines and formal hedgerows. The results are relevant for policy makers since they suggest how agricultural sheds are perceived and which mitigation strategies are preferred by local residents. From the methodological point of view, we estimate and test different models for assessing the effect of the visual treatment (close vs distant view). We show the theoretical equivalence of a fully interacted model (i.e., estimated on the whole sample and including interaction terms with the treatment), with split models of the choice for separate subsamples submitted or not to the treatment. We find that in estimation the equivalence holds in the results of Conditional Logit models, but not in Mixed Logit models. The reasons and implications are discussed.     

Modelling Takeover Likelihood

This paper employs a multinomial logit model in an attempt to better understand the motives behind takeovers. The results from the multinomial logit models show that the characteristics of hostile and friendly targets differ significantly and that these differences also vary depending on the time period under investigation. The results give some support to the disciplining role of the hostile takeover. Furthermore, conclusions based on a simple binomial logit model are likely to be misleading and result in incorrect inferences regarding the characteristics of firms subject to takeover.     

Modelling the demand for optional classes of local measured telephone service

There is currently a strong movement under way in the telephone industry to unbundle access charges and usage charges for local telephone service. Pricing schemes with separate access and usage charges are called measured service options. Predicting which option a household will choose involves analysing a selection problem, referred to as the choice of class of service. This choice is estimated in a nested logit framework. The three major findings of this study are that the measured options are perceived as being very similar, many personal calls may originate from businesses if the pricing structure is changed, and that the flat rate price will have to be nearly doubled before the ‘take rate’ for flat rate pricing is significantly diminished.     

基于价值工程方法改进的多维Logit模型研究

通过引入价值工程方法,改进基于随机效用理论的多维Logit模型,形成VEL模型,对VEL模型进行了功能分析和广义出行成本分析,最后论述出行人群的划分方式和集计化。     

The effect of financial liberalization on banking sector stability

Several studies indicate that financial liberalization increases likelihood of a financial crisis without distinguishing between a normal period, unstable period preceding the onset of banking panics and crisis/post period. We explain in this paper the relationship between financial liberalization and banking sector vulnerability. Then, we argue that banking sector turmoil is most likely to occur after an intermediate degree of liberalization. Using a recently updated dataset for financial reforms, we find an inverted U-shaped relationship between liberalization and the likelihood of banking crisis for a sample of 49 countries between 1980 and 2010. We used a multinomial logit model in order to take into account what is called the ‘post crisis bias’. We ask whether the relationship remains when institutional characteristics of countries and dynamic effects of liberalization are considered. The empirical results indicate that the relationship between liberalization and banking sector stability depends strongly on the strength of capital regulation and supervision. With very weak regulation and supervision, the probability of banking crises is increasing with liberalization but this relationship is reversed as regulation and supervision become significant. The most important type of liberalization in relation to banking crises seems to be operational. A policy implication is that positive growth effects of liberalization can be achieved without increasing the risk of a banking fragility if appropriate institutions are developed.     

A Balancing Act: Disproportionate Sampling of Organic Foods

When exploring decision making in food marketing, particular events are often unequally represented in the data. Concerns over bias can confuse public policy or strategy interpretation if samples are unbalanced. This occurs when researching organic food marketing. A small share of the market (～4%) and of product innovations (～7%) are organic. Caution is advised when predicting trends based on this disproportionately small sample of organic products. This study demonstrates that there is little statistical difference, and even a net gain in predictive power, when using a balanced sample to test factors that influence a firm’s decision to market organic food. Marginal probabilities for the smaller, balanced sample are biased by a constant factor. Thus ex post adjustment is easy and recommended to enhance predictive power.     

The influence of price and brand loyalty on store brands versus national brands

Abstract

This article investigates how price and brand loyalty of three frequently purchased product categories can influence the purchase decision process of store brands versus national brands. A multinomial logit model was constructed to analyse the data obtained from a consumer panel. The results confirmed that brand loyalty is the main variable which influences the purchase decision process of both national and store brands. The influence of price on the purchase decision process is product specific. There is a clear distinction between the buyer's profile of store brands and national brands. But there is no evidence of any correlation between demographic variables and national brands or store brands.     

Cattle Farmers’ Preferences for Disease‐Free Zones in Kenya: An application of the Choice Experiment Method

Management of livestock diseases is important in ensuring food safety to consumers in both domestic and export markets. Various measures are prescribed under the Sanitary and Phytosanitary Standards (SPS) agreement of the World Trade Organization. In order to prevent the spread of trans‐boundary cattle diseases, the SPS agreement recommends the establishment of Disease‐Free Zones (DFZs). These have been implemented successfully in some major beef‐exporting countries, but in Kenya are still at a pilot stage. To understand Kenyan farmers’ preferences on the type of DFZ that would be readily acceptable to them, a choice experiment was conducted using a D‐optimal design. Results show that farmers would be willing to pay to participate in a DFZ where: adequate training is provided on pasture development, record keeping and disease monitoring; market information is provided and sales contract opportunities are guaranteed; cattle are properly labelled for ease of identification; and some monetary compensation is provided in the event that cattle die due to severe disease outbreaks. Preferences for the DFZ attributes are shown to be heterogeneous across three cattle production systems. We also derive farmers’ preferences for various DFZ policy scenarios. The findings have important implications for policy on the design of DFZ programmes in Kenya and other countries that face similar cattle disease challenges.