The importance of consumer multihoming (joint purchases) for market performance: Mergers and entry in media markets

Consumer “multihoming” (watching two TV channels, or buying two news magazines) has surprisingly important effects on market equilibrium and performance in (two‐sided) media markets. We show this by introducing consumer multihoming and advertising finance into the classic circle model of product differentiation. When consumers multihome (attend more than one platform), media platforms can charge only incremental value prices to advertisers. Entry or merger leaves consumer prices unchanged under consumer multihoming, but leaves advertiser prices unchanged under single‐homing: Multihoming flips the side of the market on which platforms compete. In contrast to standard circle results, equilibrium product variety can be insufficient under multihoming.     

From overt to covert: Exploring discrimination against homosexual consumers in retail stores

This research examines discrimination against homosexual consumers in several stores located in a Colombian shopping mall. Further, this research assesses retail conditions in Colombia, which is dealing with conflicts arising from issues related to its legalization of same-sex marriage. In the past, homosexual consumers experienced overt discrimination from retail employees typically in the form of finger pointing, negative stares, laughing, and refusal of service. This research reveals that overt discrimination against homosexual consumers seems to have abated across several indices, primarily in terms of waiting time for assistance from employees. The data reveal that gay male and lesbian couples remain susceptible to covert discrimination by retail employees, compared with their heterosexual counterparts, typically in the form of negative glances, refusal of service, and laughter. This research reveals that homosexual consumers may not realize the full value potential of marketplace exchanges, despite the waning of overt discriminatory practices by retail employees.     

Fashion consumers and fashion problem recognition style

Consumer spending over the life span of today's 18‐ to 25‐year‐old emerging adults will reach into the $10 trillion range. Emerging adults are a powerful force in shaping demand for consumer products. The problem recognition styles associated with emerging adults can help marketers understand this group of consumers and provide insight into what kinds of products, services, and messages will appeal to them as lifelong consumers. The purpose of this study was to examine differences between men and women and among fashion consumer groups in fashion problem recognition style. Participants were a convenience sample of emerging adult consumers from one Midwestern university in the US, 136 men and 158 women who completed the Measure of Fashion Innovativeness and Opinion Leadership, Fashion Problem Recognition Style Scale, and provided demographic information. Both fashion followers and men reflected a need‐based approach to problem recognition. Both fashion change agents and women reflected a want‐based approach to problem recognition. Male fashion followers differed from all other groups in indicating a need‐based approach to problem recognition. This study built on previous work by examining differences in problem recognition style owing to fashion consumer group and gender. The basic premise behind problem recognition style was validated; that is, actual state (need‐based) vs. ideal state (want‐based) approaches to fashion problem recognition did relate to fashion consumer group membership and gender.     

The Random Walk Hypothesis in the Emerging Indian Stock Market

This paper examines the random walk hypothesis in the emerging Indian stock market using daily data on individual stocks. The statistical evidence in this paper rejects the random walk hypothesis. The results suggest that daily returns earned by individual stocks and by an equally weighted portfolio show significant non–linear dependence and persistent volatility effects. The non–linear dependence takes the form of ARCH–type conditional heteroskedasticity and does not appear to be caused by nonstationarity of underlying economic variables. Though conditional volatility is time varying, it does not explain expected returns.     

Consumer value conflicts surrounding ethical food purchase decisions: a focus on animal welfare

Ethical attitudes in relation to meat purchases were studied among urban and rural consumers in Scotland. All subjects perceived at least some ethical issues in relation to animal production systems, in particular, systems keeping animals in close confinement. Welfare‐friendly production systems were viewed as adding value to a food, but this value was not necessarily realizable to producers if purchases occurred only when foods were on special offer. Statements made by individuals were often contradictory, revealing ambivalence, unresolved value conflicts and a general lack of involvement in the nature of meat production. A number of barriers to the establishment of stable attitudes and behaviours in relation to the ethical treatment of food animals were also identified. A key finding of the study is that individuals can hold two views on animal welfare. On the one hand, they may think as citizens influencing societal standards, and on the other, as consumers at the point of purchase. As citizens, they support the notion of animals being entitled to a good life; as meat consumers, they avoid the cognitive connection with the live animal. This paper explores both the citizen–consumer relationship and purchase strategies used by consumers to resolve value conflicts. Lessons for public and commercial policy are highlighted in the context of the Curry Report (2002) which advocates more effective market segmentation where markets are finely attuned to their customers, with the development of a number of assurance schemes discussed in the article.     

品牌层次化构建对消费者购买行为的影响分析

市场经济发展和进化到了品牌经济阶段,品牌成为影响消费的重要因素。文章基于品牌将消费者群体进行划分,以动态视角分析品牌层次化构建对不同消费群体的消费特征和购买行为的影响,为进一步发展品牌经济提供参考。     

Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model

The study of climatic variables that govern the Indian summer monsoon has been widely explored. In this work, we use a non-linear deep learning-based feature reduction scheme for the discovery of skilful predictors for monsoon rainfall with climatic variables from various regions of the globe. We use a stacked autoencoder network along with two advanced machine learning techniques to forecast the Indian summer monsoon. We show that the predictors such as the sea surface temperature and zonal wind can predict the Indian summer monsoon one month ahead, whereas the sea level pressure can predict ten months before the season. Further, we also show that the predictors derived from a combination of climatic variables can outperform the predictors derived from an individual variable. The stacked autoencoder model with combined predictors of sea surface temperature and sea level pressure can predict the monsoon (June-September) two months ahead with a 2.8% error. The accuracy of the identified predictors is found to be superior to the state-of-the-art predictions of the Indian monsoon.     

Environmental Product Differentiation and Environmental Awareness

In this paper, we have considered a duopolistic model of environmental product differentiation with two types of consumers (green and brown) to analyze how environmental awareness affects the environment. “Green” consumers value the physical and environmental attributes of the good they purchase while “brown” consumers only value the physical attributes. We find that more environmental awareness may not be good news for the environment as the firm that produces the good without environmental attributes may increase its sales. The result depends on the degree of product differentiation and the cost to achieve it. Social welfare can also be inversely related to environmental awareness if the negative environmental effect dominates the positive market effect.      

Natural resource accounting for Indian states — Illustrating the case of forest resources

Our main objective is to set out and apply a SEEA-based methodology to reflect the true value of forest resources in India's national and state accounts. We establish that a “top-down” approach using available national databases is both feasible and desirable from a policy perspective. In this paper, we address four components of value creation in forests: timber production, carbon storage, fuelwood usage, and the harvesting of non-timber forest products. The results of our analysis suggest that prevailing measures of national income in India underestimate the contribution of forests to income. The income accounts of the Northeastern states in particular are significantly understated by these traditional (GDP/GSDP) measures. We are also able to identify some states which performed poorly in the context of our sustainability framework, reflecting natural capital losses due to degradation and deforestation. Our results highlight the need to integrate natural resource accounting into the national accounting framework in order to generate appropriate signals for sustainable forest management and for the conservation of forest resources which are widely used by the poor in India, as well as being significant stores of national wealth.     

肉类食品安全认知和选择行为

目前，消费者对肉类食品安全状况表示担忧，消费者对兽药残留、饲料添加剂、食品添加剂的不舍理使用，以及病畜肉问题关注程度较高。对风险程度较高的微生物污染关注程度较低。在购买肉类食品过程中。颜色、气昧等易于直接识别的特征是消费者用于判断肉类食品质量常用的质量信号，对价格、食品标簦所提供的质量信息的信任程度不高。政府应加强食品安全信息披露体系建设，为肉类食品生产者的安全生产行为提供激励。