Green Alliances: Are They Beneficial when Regulated Firms are Asymmetric?

Journal of Industry, Competition and Trade - In this paper, we analyze the collaboration between an environmental group (EG) and polluting firms when they are asymmetric in their abatement costs....     

Best practices for implementing experimental research methods

Experimental research methods have a long history across a number of different disciplines—including consumer research. Although experiments are just one of many alternative research methods, experiments are notable because they are the best way to establish causation. This makes experiments a powerful tool when researchers need to show cause and effect relationships. In this article, we provide best practices for implementing experimental research methods in consumer studies. Specifically, we discuss several important topics researchers need to consider when designing experiments, including developing hypotheses, operationalizing the variables (manipulated or measured), deciding on the research design (between-subjects, within-subjects, or mixed), selecting the research setting (laboratory, field, or online), understanding the main effect (via moderation, mediation, or moderated mediation), including manipulation and attention checks, determining the sample size, and choosing participants. We provide recommendations that researchers can use to conduct high-quality experiments in a consumer context.     

The price of reputation: Executive compensation of sin companies

This study examines how and why managers receive pay premiums when vulnerable to social reputation loss. We define sin companies as those operating in the alcohol, gambling and tobacco industries. We show that company managers receive a higher asymmetric pay-for-performance sensitivity in their pay in addition to receiving higher total compensation. In other words, their pay increases with firm performance at a faster rate than that of their non-sin company peers. This finding is consistent with our prediction that sin companies provide greater rewards to their managers upon satisfactory performance, generating a pay premium. We propose two explanations for the reputation pay premium associated with sin-industry managers: the limited future career opportunities and the difficulty of reconciling managers’ self-identity with the employer's social identity. We find stronger support for the latter explanation. The sin-industry pay premium is larger when managers have pro-social and religious tendencies. However, we do not find a smaller pay premium when managers are close to their retirement. Since the career concern should be reduced for managers who are near retirement, this finding is inconsistent with the career opportunity explanation. Overall, our findings are consistent with the notion that managers associate their self-image with employers’ social identities.     

Interpretable machine learning for real estate market analysis

Machine Learning (ML) excels at most predictive tasks but its complex nonparametric structure renders it less useful for inference and out-of sample predictions. This article aims to elucidate and enhance the analytical capabilities of ML in real estate through Interpretable ML (IML). Specifically, we compare a hedonic ML approach to a set of model-agnostic interpretation methods. Our results suggest that IML methods permit a peek into the black box of algorithmic decision making by showing the web of associative relationships between variables in greater resolution. In our empirical applications, we confirm that size and age are the most important rent drivers. Further analysis reveals that certain bundles of hedonic characteristics, such as large apartments in historic buildings with balconies located in affluent neighborhoods, attract higher rents than adding up the contributions of each hedonic characteristic. Building age is shown to exhibit a U-shaped pattern in that both the youngest and oldest buildings attract the highest rents. Besides revealing valuable distance decay functions for spatial variables, IML methods are also able to visualise how the strength and interactions of hedonic characteristics change over time, which investors could use to determine the types of assets that perform best at any given stage of the real estate investment cycle.     

New perspectives on the contribution of sanitary investments to mortality decline in English cities, 1845–1909

Health improved in English cities in the last third of the nineteenth century, in tandem with substantial increases in public spending on water supplies and sanitation. However, previous efforts to measure the contribution of public expenditures to mortality improvements have been hampered by difficulties in quantifying public health investments and the lack of mortality data for specifically urban populations. We improve upon the existing evidence base by (1) creating measures of the stock of urban district sanitary capital, by type, on the basis of capital expenditure flows, rather than loan stocks; (2) using mortality and capital stock data that relate to the same administrative units (urban districts), and (3) studying the period 1880–1909 as well as the earlier period from 1845. The stock of sewerage capital was robustly related to improvements in all-cause mortality after 1880. The size of this effect varied with the extent of public investment in water supplies, suggesting complementarity between the two assets. For the period 1845–84, investments in water were associated with declines in infant and child mortality but the effect was much smaller and less precisely estimated in later decades. Our results suggest that improvements in water and sewerage targeted different transmission pathways for faecal–oral diseases.     

Drivers of autonomous vehicles—analyzing consumer preferences for self-driving car brand extensions

Autonomous cars are considered to be the next disruptive innovation that will affect consumers. It can be expected that not only traditional automakers will enter this market (e.g., Ford) but also technology companies (e.g., Google) and newer companies dedicated to self-driving cars (e.g., Tesla). We take a brand extension perspective and analyze to what extent consumers prefer autonomous cars from these brand categories. Our empirical study is based on discrete choice experiments about adopting autonomous vehicles in a purchase scenario and in a renting context. Our findings show that brands play a central role when making autonomous driving decisions. Brand preferences differ systematically when buying versus renting a self-driving car. While technology brands are most preferred overall, consumers favor automaker brands over new brands only when purchasing, not when renting. We further disentangle the brand strength into the marginal effects of image associations. For example, Google’s strong brand positioning can be explained by experiences with the parent brand, but it could still improve brand strength by highlighting the relevance of the associated brand portfolio for self-driving cars. The effect of these brand extension success factors differs between parent-brand categories and also between the renting and purchasing scenarios, which requires a dedicated brand management.

     

RESILIENCE AND ADAPTATION IN GENTRIFYING URBAN INDUSTRIAL DISTRICTS: The Experience of Cultural Manufacturers in San Francisco and Melbourne

Recent urban scholarship shows how zoning and real estate dynamics shape ongoing processes of gentrification and deindustrialization. While studies demonstrate the impact of planning and property market pressures on the arts, less research has examined their effect on urban manufacturers in gentrifying industrial districts. Given the differential impact of zoning and real estate pressures, our research focuses specifically on how ‘cultural manufacturers’ negotiate changing land use patterns in gentrifying urban industrial areas in San Francisco and Melbourne. Our findings show how cultural manufacturers develop flexible workspace arrangements, business models and professional networks to negotiate urban restructuring and avoid displacement. Though innovative, these survival strategies provide limited ability to navigate structural barriers. Here, the presence of intermediary organizations can help coordinate a strategic response to industrial gentrification and indifferent planning policy. In our research we highlight the everyday practices of adaptation and collective action in an under-researched cultural sector to provide a counterweight to macro-scale transitional narratives. While cities have deindustrialized owing to technological and competitive pressures, to focus exclusively on this misses a range of resilience practices that have sustained manufacturers in restructuring cities.