Illustrating the Power of fsQCA in Explaining Paradoxical Consumer Environmental Orientations

Prior research on proenvironmental and prosocial behavior focuses primarily on explaining consistent rather than paradoxical tendencies. Even though this field receives wide attention from different scientific disciplines, findings for many causal factors of such proenvironmental orientation are contradictory. Nevertheless, knowing who those individuals are who think and behave in a pro‐/antienvironmental way or show a paradoxical behavior in this regard becomes useful for many different parties in human societies including public policy makers, governmental and nongovernmental environmental protection organizations, and for‐profit firms. Therefore, this study identifies those individuals who show neither consistent proenvironmental nor consistent antienvironmental tendencies as the “walkers‐only” and “talkers‐only” (i.e., for short, “walkers” and “talkers”). The former are defined as persons who put much effort into the recycling of waste materials but do not support pollution standards, whereas the latter term describes individuals who have a strong opinion with regard to the support of pollution standards yet do not engage in recycling efforts. The present study reports evidence of the existence of walkers and talkers. Further, this research is the first study to employ “fuzzy‐set qualitative comparative analysis” to identify the complex antecedent conditions for some individuals’ paradoxical belief–behaviors in the field of socially and environmentally directed behaviors and orientations. The findings yield valuable insights both into the applicability and benefits of configural analysis and for public policy makers and managers in waste management and recycling industries.     

REGULATORY DEALING: TECHNOLOGY ADOPTION VERSUS ENFORCEMENT STRINGENCY OF EMISSION TAXES

We analyze the role of targeted enforcement of emissions taxes when the regulator wants to minimize aggregate emissions via the adoption of new more environmentally friendly technology. The regulator wants to speed up the path of technology adoption generated by a policy of uniform enforcement (that monitors adopters and nonadopters with the same probability) by engaging in a regulatory deal where a reduced monitoring probability is granted in “exchange” for adoption of the new technology. We set up a theoretical model, characterize the circumstances in which such dealing minimizes aggregate emissions, and test our hypothesis using economic laboratory experiments. Our analytical and experimental results suggest that even though such a deal might imply an increased level of violation by adopters, such tolerance is rather an integral part of an overall enforcement strategy that minimizes aggregate emissions when the rate of adoption is endogenous. (JEL L51, Q53, Q55, Q58)     

ASSESSING THE EFFECT OF PUBLIC SUBSIDIES ON FIRM R&D INVESTMENT: A SURVEY

This survey examines the empirical literature on the relationship between public R&D subsidies and private R&D investment over the past five decades. The survey reveals a considerable heterogeneity of empirical results that cannot be explained fully by methodological issues. We aim to provide further explanations of the possible causes of that heterogeneity. In particular, we emphasise a set of issues that, in our view, are critical to understanding the potential effect of public R&D subsidies on private R&D spending. Special attention is paid to the dynamic aspects and composition of firm R&D, the constraints faced by the firm (such as financial constraints), and the amount and source of public subsidies. None of these issues have been investigated in depth. We formulate a set of research assumptions to guide future empirical research in this field.     

Robust influence diagnostics for generalized linear models with continuous responses

This article introduces two parametric robust diagnostic methods for detecting influential observations in the setting of generalized linear models with continuous responses. The legitimacy of the two proposed methods requires no knowledge of the true underlying distributions so long as their second moments exist. The performance of the two proposed influence diagnostic tools is investigated through limited simulation studies and the analyses of an illustration.     

Relevance of the disposition effect on the options market: New evidence

A moneyness‐based propensity to sell (MPS) measure, at the aggregate level, determines the propensity of option holders to exercise their winning relative to losing positions. Using data on individual stock and S&P 500 Index options, we find that the MPS measure has significant predictive power over the cross section of delta‐hedged option returns. We test the disposition effect in the options market based on a long–short strategy that exploits price distortions induced by the disposition bias. More pronounced evidence of the disposition bias is found for individual at‐the‐money call options than put options where the significance of abnormal returns remains robust across different subsamples even after we control for the portfolio option greeks and market‐based risk factors. The profitability of the long–short strategy is related to limit‐to‐arbitrage proxies suggesting that behavioral explanations help explain the positive relation between the MPS measure and delta‐hedged option returns.     

The Effect of Explicit Communication on pricing: Evidence from the Collapse of a Gasoline Cartel

We study the collapse of collusion in Québec's retail gasoline market following a Competition Bureau investigation, and show that it involved two empirical regularities: high margins, and asymmetric price adjustments. Using weekly, station‐level prices we test whether collusion was successful, and whether asymmetric adjustments were part of the cartel's strategy. We do so in the markets targeted by the investigation, and in markets throughout the province with similar pre‐collapse pricing (cyclical markets). Our results suggest that stations in both target and cyclical markets adjusted pricing following the announcement: margins fell (by 30%/15% in target/cyclical markets), and adjustments became more symmetric.     

Timing the Start of Material Substitution Projects: Creating Switching Options under Volatile Material Prices

Firms developing new products often face the challenge of making investment decisions under uncertain input–cost conditions due to the price volatilities of the materials they use. These decisions need to be made long before the final products are launched on the market. Therefore, firms that invest in the opportunity to switch materials in a timely manner will have the flexibility to react to material price changes and realize competitive advantages. However, volatile material prices may also cause a firm to delay investment. Using real‐options reasoning, this paper studies the influence of input‐cost fluctuations on the timing decision to start new product development (NPD) and thus create the follow‐on opportunity to later replace an existing product. A model that combines waiting and switching options to derive influencing factors of the flexibility value that triggers the investment is developed and tested on a sample of material substitution projects from manufacturing firms. The results show how price uncertainty of the new and the old material, their joint price development, the expected project duration, and competitive preemption are related to the propensity to delay the start of NPD. The findings provide new insights on how timing in adopting materials can be used to hedge exposure to volatile material prices. The insights are relevant for adopters and producers of new materials, as well as for policy makers who strive for supporting the diffusion of new materials.     

Effects of Firm Size,Financial Leverage and R&D Expenditures on Firm Earnings: An Analysis Using Quantile Regression Approach

As documented in the literature, the effects of firm size, financial leverage, and R&D expenditures on firm earnings are inclusive. Our hypothesis is that the inconsistent empirical results of such effects may be driven by the regression models implemented in data analysis. Using the quantile regression (QR) approach developed by Koenker and Basset (1978), this study analyses S&P 500 firms from 1996 to 2005. We find that the effects of firm size, financial leverage and R&D expenditures on firm earnings differ considerably across earnings quantiles. Comparing the results from the QR approach with those from the ordinary least squares (OLS) and least absolute deviation (LAD) methods, this study further explains the puzzling relationship between firm size, financial leverage, R&D expenditures and firm earnings.