Punishing Vices or Rewarding Virtues? The Motivations for and Benefits of Ethical Ratings for Private Italian Companies

Journal of Business Ethics - In A Treatise on Virtues and Rewards, Dragonetti (1769) advances a theory of action based on rewards for virtues. The idea of rewards, especially of awards, relies on...     

From Fiduciary Duty to Impact Fidelity: Managerial Compensation in Impact Investing

Journal of Business Ethics - Investors with standard monetary preferences will give a fund manager incentives to increase firm profits, which can be achieved through a share in profits via carried...     

Policy uncertainty and aggregate fluctuations

This paper estimates the impact on the US economy of four types of uncertainty about (i) government spending, (ii) tax changes, (iii) public debt, and (iv) monetary policy. Uncertainty about government debt has a large and persistent effect on output, consumption, investment, consumer confidence, and business confidence. Uncertainty about tax changes also has detrimental consequences for real activity but the effect of spending and monetary policy uncertainty appears to be small. About 25% of output fluctuations are accounted for by policy uncertainty, with government debt making the largest contribution at longer horizons.     

Factors driving embodied carbon in international trade: a multiregional input–output gravity model

ABSTRACT

Concerns about the effects and consequences of climate change have notably increased in recent decades. Despite large advances in the understanding of this phenomenon, further research into the determinants of gas emissions is necessary, to shed light on the responsibilities of producers and consumers, and their potential contribution to mitigation strategies. This paper studies the trajectories and determinants of carbon embodied in world trade during a period of 15 years. Our methodology relies on a multiregional input–output model, environmentally extended. Drawing on data from the World Input–Output Database, we estimate embodied emissions in bilateral flows. Then, we assess the determinants of CO₂ emissions embodied in trade, combining input–output modelling with trade gravity panel data analysis. This paper offers a methodological approach that explains and quantifies the underlying factors of carbon trade, integrating the production and consumption perspectives and considering the geographical, structural and institutional context of countries.     

Co‐integration Rank Determination in Partial Systems Using Information Criteria

We investigate the asymptotic and finite sample properties of the most widely used information criteria for co‐integration rank determination in ‘partial’ systems, i.e. in co‐integrated vector autoregressive (VAR) models where a sub‐set of variables of interest is modelled conditional on another sub‐set of variables. The asymptotic properties of the Akaike information criterion (AIC), the Bayesian information criterion (BIC) and the Hannan–Quinn information criterion (HQC) are established, and consistency of BIC and HQC is proved. Notably, the consistency of BIC and HQC is robust to violations of weak exogeneity of the conditioning variables with respect to the co‐integration parameters. More precisely, BIC and HQC recover the true co‐integration rank from the partial system analysis also when the conditional model does not convey all information about the co‐integration parameters. This result opens up interesting possibilities for practitioners who can now determine the co‐integration rank in partial systems without being concerned about the weak exogeneity of the conditioning variables. A Monte Carlo experiment based on a large dimensional data generating process shows that BIC and HQC applied in partial systems perform reasonably well in small samples and comparatively better than ‘traditional’ methods for co‐integration rank determination. We further show the usefulness of our approach and the benefits of the conditional system analysis in two empirical illustrations, both based on the estimation of VAR systems on US quarterly data. Overall, our analysis shows the gains of combining information criteria with partial system analysis.     

Three decades of research on corporate governance and R&D investments: a systematic review and research agenda

This paper reviews and systematizes the empirical research on the nexus between corporate governance (CG) and investments in research and development (R&D) published in leading business, management, economics and finance journals over the past 30 years. We find that CG is key in shaping R&D investments. Moreover, the effects of both firm- and country-level CG are important for both internal and external R&D investments. Drawing on our review, we welcome future studies to examine the effect of the interplay between various CG mechanisms and different types of R&D investments, and possibly identify mediating variables besides the moderating ones. Moreover, we highlight the need for future interdisciplinary studies, as well as investigations of private companies and across developing countries. Whenever causal interpretations are attempted, both sample selection and endogeneity problems should be addressed, along with testing the CG-R&D investment nexus for nonlinear dynamics. The implications of the study for both theory and practice are also discussed.     

Gender Differences in Sorting

In this paper, we investigate gender differences in workers’ career development within and outside the firm to explain the existence of gender wage gaps. Using Danish employer–employee matched data, we find that good female workers are more likely to move to better firms than men but are less likely to be promoted. Furthermore, these differences in career advancement widen after the first child is born. Our findings suggest that career impediments in certain firms cause the most productive female workers to seek better jobs in firms in which there is less gender bias.     

The role of leadership in salespeople’s price negotiation behavior

Salespeople assume a key role in defending firms’ price levels in price negotiations with customers. The degree to which salespeople defend prices should critically depend upon their leaders’ influence. However, the influence of leadership on salespeople’s price defense behavior is barely understood, conceptually or empirically. Therefore, building on social learning theory, the authors propose that salespeople might adopt their leaders’ price defense behavior given a transformational leadership style. Furthermore, drawing on the contingency leadership perspective, the authors argue that this adoption fundamentally depends on three variables deduced from the motivation–ability–opportunity (MAO) framework, that is, salespeople’s learning motivation, negotiation efficacy, and perceived customer lenience. Results of a multi-level model using data from 92 salespeople and 264 salesperson–customer interactions confirm these predictions. The first to explore contingencies of salespeople’s adoption of their transformational leaders’ price negotiation behaviors, this study extends marketing theory and provides actionable guidance to practitioners.     

Sensitive Survey Questions: Measuring Attitudes Regarding Female Genital Cutting Through a List Experiment

Potential bias in survey responses is higher if sensitive outcomes are measured. This study analyses attitudes towards female genital cutting (FGC) in Ethiopia. A list experiment is designed to elicit truthful answers about FGC support and compares these outcomes with the answers given to a direct question. Our results confirm that the average bias is substantial as answers to direct questions underestimate the FGC support by about 10 percentage points. Moreover, our results provide suggestive but not statistically significant evidence that this bias is more pronounced among uneducated women and women targeted by an NGO intervention (not randomly assigned).