Corporate financial distress: The case of publicly listed firms in an emerging market economy

Occurrences of financial distress (FD) are not readily obvious yet can span several periods. This paper examines episodes of FD using industry‐relative (IR) firm‐/ accounting‐, market‐ and macro‐level information. Mixed logit regressions reveal that firm‐ and market‐based measures, as well as macro‐level variables explain the likelihood of FD in 263 publicly listed non‐banking firms in the Philippines during the period 1995 to 2018. Rates of identification of firms in financial distressed states of close to 69 percent are obtained at a cutoff probability of 0.30 in the model with time‐varying intercept and slope. This study shows the importance of recognizing heterogeneous firm behavior. The ability to more accurately predict the probability of FD and to determine the financial health of firms can help financial institutions in allocating funds and policy makers in predicting crises episodes.     

Is the environment‐friendly factor attractive to customers when purchasing electric vehicles? Evidence from South Korea

In a bid to reduce greenhouse gas emissions, several countries worldwide are implementing policies to promote electric vehicles (EVs). However, contrary to expectations, the diffusion speed of EVs has been rather slow in South Korea. This study analyzes consumer preferences for the technological and environmental attributes of EVs and derives policy and environmental implications to promote market diffusion of EVs in South Korea. We conduct a choice‐based conjoint survey of 1,008 consumers in South Korea and estimate the consumer utility function using a mixed logit model considering consumer heterogeneity. Based on the consumer utility function, we analyze consumers' willingness‐to‐pay (WTP) for EV attributes such as driving range, charging method, charging time, autonomous driving function, carbon dioxide (CO₂) reduction rate, and purchase price. The results indicate that the current low acceptance of EVs is due to their relatively high price and lack of a battery charging technology that satisfies consumers' expectations of the charging method and time. One interesting finding is that Korean consumers have a relatively higher WTP for the CO₂ reduction rate of EVs than consumers in other countries; however, they do not consider CO₂ reduction over other technological attributes when choosing EVs. This implies that the rate of CO₂ reduction of EVs is not an important factor for South Korean consumers when buying EVs. We also calculate the effect of CO₂ reduction with the market penetration of EVs and find that CO₂ reduction through the diffusion of EVs depends on the country's electricity generation mix.     

Food values and heterogeneous consumer responses to nanotechnology

Agricultural applications of nanotechnology are at a relatively early stage and little is known about consumer responses to the technology. Canadian consumer responses to food nanotechnology are examined through the lens of the Food Value Scale. Data from a survey of Canadian consumers are used to evaluate the relative importance of eleven food values to food purchase decisions. We find that taste, safety, nutrition, and price are among the most important food values to Canadians, however, consumers exhibit considerable heterogeneity with respect to the priority placed on these values. A discrete choice experiment (DCE) explores the effect of food values on choice behavior. The DCE is positioned as a sliced apple product with non-browning and antioxidant-enhanced features introduced through the use of nanocoating or a conventional coating method. Random parameters logit (RPL) and latent class models (LCM) confirm the existence of significant preference heterogeneity. The LCM identifies three classes of consumers: “supporters,” “doubters,” and “opponents” who differ in their reaction to nanotechnology and in the relative importance placed on food values such as naturalness, novelty, and convenience. The analysis shows that food values provide additional insights into consumers’ food choices and their attitudes toward novel food technologies.     

Modeling farmers’ decisions on tea varieties in Vietnam: a multinomial logit analysis

This article analyzes households’ choice on tea varieties in Vietnam by using a multinomial logit model. The modeling takes into account the issue of unobserved individual heterogeneity and the endogeneity of some explanatory variables (use of chemical and organic fertilizers). The results show that important factors influencing the decision to adopt one type of tea varieties include income, age, household size, farming contract, and use of organic fertilizers, but also membership of professional associations such as the Tea Association and the Farmers Union.     

A Conjoint/Logit Analysis of Consumers’ Responses to Genetically Modified Tofu in Taiwan

We use data collected from a consumer survey of face‐to‐face interviews to determine consumer demand for genetically modified (GM) tofu attributes in Taiwan. Conjoint analysis using logit models reveals that, on average, brand is the most important attribute in terms of influence on consumers’ preferences, followed by price, with GM content having the least influence. However, the analysis also reveals three distinct market segments for tofu. Apart from the largest segment (which reflects the average lack of concern about GM food), the remaining two segments are split according to their preference or antipathy towards GM tofu. This result suggests that GM labelling is helpful to Taiwanese tofu consumers.     

Effects of income and social awareness on consumer WTP for social product attributes

Recent developments in environmental and animal welfare issues, and the introduction of new production practices may have affected consumer attitudes and preferences toward differentiated product choice. Factors such as animal well-being, environmentally friendly production, and the use of antibiotics appear to be increasingly core consumer concerns. We link the aforementioned with Maslow's hierarchy of needs suggesting that the higher income consumers should be more altruistic in their consumptive behavior and test this by evaluating consumer preferences for these attributes in pork chops. We also test whether social consciousness of the consumers translates into choice behavior. Data was obtained by choice experiment surveys and mixed logit estimation was used to estimate consumers' willingness-to-pay for the credence attributes. Results reveal that both, higher income and socially aware consumers are on average willing to pay higher premiums for the antibiotic-free attribute, but not for other two social attributes. Also, the group of higher income consumers is highly heterogeneous in their preferences, whereas socially aware consumers tend to be more homogeneous in their preferences.     

Determinants of Length of Stay for Domestic Tourists: Case Study of Yixing

The length of stay of a tourist is one of the most important factors indicating consumption levels and revenue generation for certain tourist destinations. This study employs data from a tourist survey in Yixing, China, to investigate potential factors influencing a tourist's length of stay. Applying an ordered logit model, it is found that distance, age, organized tour, transportation, motivation, past visits and assessment of accommodation are some of the major determinants of a tourist's length of stay. The results indicate that traveling distance and the assessment of accommodation are positively associated with the length of stay. In addition, tourists with different modes of transportation, motivations and past visits have different durations of stay. Based on the estimation results from subsamples, it is also found that there are differences in determinants of length of stay between organized tourists and individual tourists, and among different age groups.     

Job preferences of students and new graduates in nursing

This article investigates the preferences of student and newly graduated nurses for pecuniary and nonpecuniary aspects of nursing jobs. It is the first study applying methods based on discrete choice experiments to a developed country nursing workforce. It is also the first to focus on the transition through university training and into work. This is particularly important as junior nurses have the lowest retention levels in the profession. We sample 526 individuals from nursing programmes in two Australian universities. Flexible and newly developed models combining heteroscedasticity with unobserved heterogeneity in scale and preference weights are estimated. Overall, salary remains the most important feature in increasing the probability that a job will be selected. ‘Supportive management/staff’ and ‘quality of care’ follow as the most important attributes from a list of 11 nonpecuniary characteristics. However, the subset of new graduates rank ‘supportive management/staff’ above salary increases, emphasizing the importance of a supportive workplace in the transition from university to the workplace. We find substantial preference heterogeneity and some attributes, such as the opportunity for clinical rotations, are found to be attractive to some nurses while seen as negative by others. Nursing retention could be improved by designing different employment packages to appeal to these different tastes.     

The Stability and Instability of Organic Expenditures in Denmark,Great Britain,and Italy

This article concerns demand for organic foods in 3 European countries: Denmark, Great Britain, and Italy. Based on extensive sets of household panel data we categorize households into 4 groups according to their levels of organic consumption. Importance of sociodemographics is estimated by applying multinomial logit models. In all 3 countries a high organic consumption is mainly found among the more well-situated households in urban areas. Although the relative size of the user groups is fairly stable over time, we find variation in the organic consumption of individual households.