Organizational structure and earnings quality of private and public firms

Review of Accounting Studies - We examine how heterogeneity in organizational structure affects private firm earnings quality in the European Union. Organizational structure refers to whether the...     

Inter‐firm R&D collaborations and green innovation value: The role of family firms' involvement and the moderating effects of proximity dimensions

The present paper investigates the relationship between the involvement of family firms in R&D collaborations aimed at developing green solutions and the value of resulting innovations. To dig into this relationship, the moderating effects of two proximity dimensions (i.e., geographical distance and technological relatedness) are also assessed. Analyses are based on a sample of 156 joint patents classified into the “Alternative energy production” field, as defined by the International Patent Classification Green Inventory and successfully filed at the United States Patent and Trademark Office in the period 1997–2010 by publicly listed companies. According to our conjectures, results reveal a positive relationship between the involvement of family firms and green innovation value. Moreover, our findings show that this relationship is hindered when partners are geographically distant or technologically proximate. Eventually, we contribute to the literature on green innovation by unveiling under which conditions inter‐firm R&D collaborations lead to more valuable innovations.     

An application of two-stage quantile regression to insurance ratemaking

Two-part models based on generalized linear models are widely used in insurance rate-making for predicting the expected loss. This paper explores an alternative method based on quantile regression which provides more information about the loss distribution and can be also used for insurance underwriting. Quantile regression allows estimating the aggregate claim cost quantiles of a policy given a number of covariates. To do so, a first stage is required, which involves fitting a logistic regression to estimate, for every policy, the probability of submitting at least one claim. The proposed methodology is illustrated using a portfolio of car insurance policies. This application shows that the results of the quantile regression are highly dependent on the claim probability estimates. The paper also examines an application of quantile regression to premium safety loading calculation, the so-called Quantile Premium Principle (QPP). We propose a premium calculation based on quantile regression which inherits the good properties of the quantiles. Using the same insurance portfolio data-set, we find that the QPP captures the riskiness of the policies better than the expected value premium principle.     

Easing the assessment of emerging technologies in technology observatories. Findings about patterns of dissemination of emerging technologies on the internet

This paper considers the Web as a big data container that can be used by Technology Observatories and administrations to track emerging issues and more specifically emerging technologies. It considers information that is available on the Internet for free from different sources, and proposes a framework that can be useful to characterise them and to detect patterns of dissemination. This framework is made up of 30 metrics obtained from different kinds of sources (general web, patents, scholars?…). Some of them are obtained directly as the number of hits retrieved by queries on a search engine, and other ones calculated by means of ratios. This paper contains the development of a complete case that utilises this framework to characterise emerging technologies included in the well-known Hype Cycle for Emerging Technologies, in this case the 2015 release¹ and to analyze patterns of dissemination of these technologies on the Internet.     

It is not a flat world after all: Tax repatriation costs and cash value

US corporations have accumulated record‐high amounts of cash, and most of it is trapped in foreign accounts. This study tests the hypothesis that the marginal value of cash decreases in the presence of tax repatriation costs, as these costs are a strong indication that part of the cash is trapped abroad. Cash abroad is not readily available to the company because it is subject to an additional layer of tax before it can be used or distributed. Moreover, uncertainty surrounds the potential use of foreign cash, and research documents that firms holding high amounts of cash abroad are likely to invest in negative net present value activities. Finally, possible changes in tax regulation are an additional source of uncertainty. Consequently, foreign cash should be worth less than domestic cash. Using a large sample of US firms drawn from COMPUSTAT during the 1991–2012 period, the analysis suggests that shareholders value an extra dollar of cash at $1.086. However, this result changes dramatically when the change in cash is interacted with the tax cost of repatriating the earnings. That is, the marginal value of cash decreases significantly in the presence of tax repatriation costs, and shareholders discount cash when it is likely to be held abroad. This study contributes to the literature on cash holding by investigating whether tax repatriation costs affect the value of corporate cash. Moreover, the findings show that there are important economic consequences linked to the phenomenon of cash accumulation in foreign countries and therefore provide regulators with a sound foundation on which to take additional actions to require more disclosure of and transparency in the actual location of firms’ cash holdings.     

Bayesian selection of technology assumptions for the transformation from supply-use to input–output tables

ABSTRACT

In the construction of input–output models from supply-use tables, technology assumptions disambiguate how an industry uses inputs in the production recipe of multiple outputs. This paper uses Bayes' theorem to select technology assumptions, taking into account empirical observations. The paper presents a formulation to explore hybrids between product and industry technology assumptions in product-by-product tables. We then present Markov chain Monte-Carlo techniques to implement the Bayesian method for selecting technology assumptions. We apply the method in a case study using Eurostat supply-use tables of 2004 and 2005, exhibiting a volume of secondary products of less than 13%, and 59 products and industries per country. The results show that the choice of technology is not important, given that there is no strong evidence in favour of any of them.     

PFIs involving multiple public partners: a case study from the Italian healthcare sector

The financial crisis experienced by many countries since 2008 has given new importance to private finance initiatives (PFIs) for providing public services. This paper analyses the relationships between multiple public and private sector actors participating in a PFI in the healthcare sector in order to better understand the motives and behaviour of public and private sector partners. High levels of trust and the active participation of a regulatory body were found to be significant factors in terms of creating a partnership that benefits all sides.     

Sin sectors and negative screening

In this research, I analyse how exposure to sin sectors impacts the financial performance of socially responsible (SR) funds. I also analyse the question of whether or not these funds keep their word and are less exposed to the controversial sectors that they claim to exclude in their prospectuses. Additionally, I analyse how local political and religious factors exert an influence on the exposure of SR funds to sin sectors. Consequently, I analyse a sample comprising 136 SR mutual funds that were domiciled in the U.S. market in the period March 2017–April 2020 and who invest in domestic and global equity, of which 92 implement negative screens on at least 1 of 12 controversial activities. My results show that for seven (three) of the controversial sectors that were analysed, the exposure of SR funds to these sectors jeopardises (improves) their financial performance. Furthermore, SR mutual funds who perform negative screens tend to live up to their name and are less exposed to the sector/s that they claim to exclude. In addition, SR mutual funds managed by companies located in Democrat-leaning states are less exposed to sin sectors, and that the effect of local religiosity depends on the specific sector analysed.     

Behaviour‐Based and Outcome‐Based Control Systems: A Meta‐Analytic Study

Sales control systems are instruments used by firms to improve performance and other organizational outcomes. To understand their antecedents and consequences, this paper conducts a meta‐analysis based on 104 studies. The results showed significant relationships between behaviour‐ and outcome‐based control systems and the complexity of the products, bonuses, financial performance, sales innovation, organizational support and satisfaction with supervisors. The outcomes revealed that behaviour‐based control systems were the most effective mechanism in turbulent markets and for determining financial performance. However, outcome‐based control systems were the most efficient instrument for complex products.     

The role of venture capitalist to enhance the growth of Spanish and Italian university spin-offs

The establishment of spin-offs to commercialise university knowledge/technology is a potential mechanism to promote economic and innovative development. Nevertheless, University Spin-Offs (USOs) are usually resource-constrained, especially in obtaining funding, limiting their growth. Venture Capital (VC) investors play an important role in the financing and the improvement of their managerial skills, which are critical for firm growth. This paper aims to explore both the effect of VC partners on the USOs’ growth and the cross-national differences in the role played by them. To study both issues, we empirically analysed 516 Spanish and 904 Italian USOs created by 50 Spanish and 57 Italian universities, respectively, and observed them between 2005 and 2013. The results showed different effects in the Spanish and Italian cases. While in Spain the presence of VC partners positively affects the USOs’ growth, in Italy there is not a significant effect. This evidence calls for systematic policies by public administrations and universities to foster USO growth.