RESPONSES OF ECONOMIC SYSTEMS TO ENVIRONMENTAL CHANGE: PAST EXPERIENCES

Current discussions of climate change are overly focused on the science underpinning environmental impact, with little attention to socioeconomic consequences. The economics of environmental change in particular is insufficiently informed by the lessons that past experiences can yield. Drawing on case studies from Europe and Asia, this special issue underlines the importance of historical context, as well as markets, institutions, technology, and the role of international trade in understanding how economic systems have responded to environmental changes. Past economies have responded dynamically to environmental change rather than simply constrained deterministically by the climatic and ecological events that have engulfed them.     

Tagging the triggers: an empirical analysis of information events prompting sell-side analyst reports

In order to fulfill their function as information intermediaries in capital markets, sell-side equity analysts regularly issue updated forecasts on the stocks they cover. Quite often, the publication of (revised) analysts’ reports is subject to certain trigger events such as the publication of annual figures or the announcement of an upcoming merger. In this exploratory study, we develop a two-step procedure to identify the core events that trigger the release of analysts’ reports on companies that constitute the Dow Jones EuroSTOXX50 index during the three-year period from 2004 to 2006. These can be grouped into Financial Disclosures, Corporate Management, Corporate Strategy, Business Activity, Operating Environment and Share. The results suggest that sell-side analysts attach great importance to non-financial information events when transforming their earnings estimates into valuation forecasts and stock recommendations. Additionally, we link the information events identified as reasons of issuance to the summary measures disclosed in the reports in order to investigate the relationship between the report trigger and associated analyst reaction. Our findings indicate that the forecasting activity of sell-side analysts is greatly influenced by forward-looking statements made by management, strategy-related news flow, and non-company-specific information relating to the covered firm’s operating environment.     

HR managers’ talent philosophies: prevalence and relationships with perceived talent management practices

Abstract

HR managers have different beliefs about the nature, value, and instrumentality of talent—referred to as ‘talent philosophies’. In line with cognitive psychology, we reason that talent philosophies are similar to mental models that influence how HR managers interpret and use talent management (TM) practices within their organizations. In this article, we explore the prevalence of four different talent philosophies (exclusive/stable; exclusive/developable; inclusive/stable; inclusive/developable) in a sample of 321?HR managers. We then explore how talent philosophies relate to organizational context (i.e. size, ownership form, multinational orientation) as well as to HR managers’ perceptions of their organization’s TM practices. Cluster analysis corroborated the presence of the four talent philosophies in our dataset. All four talent philosophies were represented almost equally often in the overall dataset. Organizational size was found to be related to talent philosophies, such that HR managers who worked in smaller organizations were more likely to hold an inclusive talent philosophy. We also found support for the relationship between talent philosophies and perceptions of the exclusiveness or inclusiveness of the organization’s definition of talent, and its degree of workforce differentiation. Contrary to expectations, results did not support a link between talent philosophies and perceived talent identification criteria.     

Relationships among healthy lifestyle beliefs and body mass index in urban China

Consumption is a major driving force in China's economy. The consumer society is particularly emerging in the more urbanized and affluent regions in China. Given the rise of consumerism on the one hand, and the rise of overweight and obesity on the other, this study explored whether the proliferating consumer culture is a threat to the traditional health culture in China. The lifestyle‐oriented approach used in this study does not confirm a straightforward relationship between an upward trend in Chinese with (economic) assets to join the consumer society and a downward trend in health interest among urban Chinese. The result that the rise of the consumer society is not directly accompanied by a devaluation of health issues does not imply that lifestyle research is of no use. On the contrary, this paper successfully identified four dimensions of health‐related lifestyle for urban China, namely Food‐health Belief, Perceived Knowledge, Health Careless and Group Conformity. This result is informative with respect to the complexity of sociocultural factors influencing the increasing prevalence of overweight and obesity.     

Extending the BG/NBD: A simple model of purchases and complaints

Extant customer-base models like the beta geometric/negative binomial distribution (BG/NBD) predict future purchasing based on customers' observed purchase history. We extend the BG/NBD by adding an important non-transactional element that also drives future purchases: complaint history. Our model retains several desirable properties of the BG/NBD: it can be implemented in readily available software, and estimation requires only customer-specific statistics, rather than detailed transaction-sequence data. The likelihood function is closed-form, and managerially relevant metrics are obtained by drawing from beta and gamma densities and transforming these draws to a sample average. Based on more than two years of individual-level data from a major U.S. internet and catalog retailer, our model with complaints outperforms both the original BG/NBD and a modified version. Even though complaints are rare and non-transactional events, they lead to different substantive insights about customer purchasing and drop-out: customers purchase faster but also drop out much faster. Furthermore, there is more heterogeneity in drop-out rates following a purchase than a complaint.     

The impact of the introduction and use of an informational website on offline customer buying behavior

Do customers increase or decrease their spending in response to the introduction of an informational website? To answer this question, this study considers the effects of the introduction and use of an informational website by a large national retailer on offline customer buying behavior. More specifically, we study a website's effects on the number of shopping trips and the amount spent per category per shopping trip. The model is calibrated through the estimation of a Poisson model (shopping trips) and a type-II tobit model (the amount spent per category per shopping trip), with effect parameters that vary across customers. For the focal retailer, an informational website creates more bad than good news; most website visitors engage in fewer shopping trips and spend less in all product categories. The authors also compare the characteristics of shoppers who exhibit negative website effects with those few shoppers who show positive effects and thus derive key implications for research and practice.     

Candidate gene studies and the quest for the entrepreneurial gene

Candidate gene studies of human behavior are gaining interest in economics and entrepreneurship research. Performing and interpreting these studies is not straightforward because the selection of candidates influences the interpretation of the results. As an example, Nicolaou et al. (Small Bus Econ 36:151?C155, 2011) report a significant association between a common genetic variant in the DRD3 gene and the tendency to be an entrepreneur. We fail to replicate this finding using a much larger, independent dataset. In addition, we discuss the candidate gene approach and give suggestions to avoid the publication of false positives.     

Methods and tools for integrated assessment of land use policies on sustainable development in developing countries

For stimulating sustainable development in developing countries, land use patterns and land use changes are considered critical, and therefore effective and efficient land use policies are needed. In this paper we present a methodological framework that has been developed in a joint European and developing countries project (LUPIS – Land Use Policies and Sustainable Development in Developing Countries), to assess the impact of land use policies on sustainable development in developing countries. An illustrative application is presented for a case study in China, where water pollution due to agriculture in Taihu Basin is a major problem.