Feeling capable and valued: A prosocial perspective on the link between empathy and social entrepreneurial intentions

Empathy is a key trait distinguishing social entrepreneurs from traditional entrepreneurs, and an important antecedent of social entrepreneurial (SE) intentions. Yet, little research explains the mechanisms through which empathy motivates SE intentions. We argue that studying the link between the prosocial trait of empathy and the prosocial outcome of SE intentions requires a prosocial lens that traditional entrepreneurial intent theories cannot offer. Building on prosocial motives research, we propose that empathy explains SE intentions through two complementary mechanisms: self-efficacy (an agentic mechanism), and social worth (a communal mechanism). We find support for our hypotheses in a study of 281 university students.     

Sources, uses, and forms of data in the new product development process

This paper presents qualitative and exploratory research investigating the role that managing knowledge and information plays in new product development (NPD). A set of 20 in-depth interviews uncovered eight basic types of information used throughout the NPD process and three general approaches to managing information needed in the NPD process. Although some exemplary companies seem to do an outstanding job of collecting and disseminating information, the majority of firms struggle. NPD process automation solutions tackle part of the problem, ignoring nonquantitative data forms and the full picture of information use throughout the entire development process.     

Light fuel demand and public policies in Brazil, 2003–2013

The main objective of this article is to evaluate determinants of demand for light fuels in Brazil between 2003 and 2013. Through a vector autoregression analysis, an effort was made to identify and quantify the impact of different economic variables and public policy measures adopted during this period on the surprising increase in energy consumption by Brazil’s light-vehicle fleet. The results suggest that demand for energy by the light-vehicle fleet was influenced by an increase in income, by a decrease in fuel prices associated with a policy designed to prevent increases in the price of gasoline from pushing the inflation rate up, by a higher availability of credit for buying vehicles, and by a drop in the real price of those goods, with emphasis on countercyclical measures to waive the tax on industrialized products levied on new vehicles during economic downturns in the automotive industry.     

Loss and damage: a critical discourse analysis of Parties’ positions in climate change negotiations

The years-long negotiations on loss and damage (L&D) associated with climate change impacts reached a milestone with the adoption of the Paris Agreement, sanctioning the permanence of the Warsaw International Mechanism (WIM) created in 2013. The WIM aims at advancing knowledge gathering, coordination and support to address L&D associated with extreme and slow onset events in vulnerable developing countries (Decision 2/CP.19). Despite being among the most controversial issues to be recently treated in climate change negotiation, L&D has attracted little attention in the field of international relations. This paper aims at addressing this gap by reconstructing the emergence and evolution of the negotiating positions on L&D of developing and developed countries. It employs a critical discourse analytical approach and builds on Fairclough’s three-dimensional framework for critical discourse analysis, taking decision 2/CP.19 as the core communicative event. Consistently, the decision is analysed at three different levels: as a text (micro-scale); as a discursive practice (meso-scale); and as a social practice (macro-scale). The analysis makes use of a wide range of materials including previous decisions, High Level Segment statements and Parties submissions. It reconstructs Parties’ conflicting views on the positioning of L&D vis-à-vis the adaptation space (L&D as a part of, or as beyond adaptation) and the scientific, ethical and legal arguments employed to support these standpoints. It highlights, in particular, the strategic importance which the ‘compensation argument’ had in determining developing countries’ capacity to influence the UNFCCC process up to the inclusion of a specific article on L&D in the Paris Agreement. While calls for compensation might have lost momentum as a result of the Warsaw and Paris talks, the paper argues that their potential is far from exhausted. They in fact imply a more general request for climate justice which the UNFCCC has not yet addressed.     

Growth maximizing government size,social capital,and corruption

Our paper intersects two topics in growth theory: the growth maximizing government size and the role of Social Capital in development. We modify a simple overlapping generations framework by introducing two key features: a production function à la Barro together with the possibility that public officials steal a fraction of public resources under their own control. As underlined by the literature on corruption, Social Capital affects public officials' accountability through many channels which also affect the probability of being caught for embezzlement and misappropriation of public resources. Therefore, in our endogenous growth model such probability is taken as a proxy of Social Capital. We find that maximum growth rates are compatible with Big Government size, measured both in terms of expenditures and public officials, when associated with high levels of Social Capital.     

Using reputation for corporate sustainability to tackle banks digitalization challenges

The new landscape in the financial sector, characterized by fierce competition and the entrance of new technological players, has forced banks to speed up their digital transformation. However, for banks, digitalization entails challenges that can hinder the potential benefits and compromise their survival. In this context, we argue that the reputation generated by corporate sustainability (RCS) may offset these digitalization drawbacks. In particular, we find that the combination of RCS and digitalization facilitates in transforming the organizational nature of banks by simultaneously narrowing their boundaries and expanding their scope. We empirically confirm our hypotheses by analyzing a panel of 110 multinational banks from developed countries.     

Institutions and Firms' Productivity: Evidence from Electricity Distribution in the EU

Firms' productivity is influenced by internal and external institutions. Ownership is the core internal institutional feature of the firm, while the most important external institutional feature is the quality of government, which shapes the environment in which firms operate. We explore the relative role of these factors and their interaction in determining total factor productivity of electricity distribution firms in 16 EU countries. Using data from the Amadeus database of balance‐sheet information and from the Quality of Governance database, we find that when the quality of government is poor, public ownership is associated with lower productivity levels; however, public ownership is associated with higher productivity in countries characterized by higher quality of the institutional environment.     

VALUATION OF BARRIER OPTIONS VIA A GENERAL SELF‐DUALITY

Classical put–call symmetry relates the price of puts and calls under a suitable dual market transform. One well‐known application is the semistatic hedging of path‐dependent barrier options with European options. This, however, in its classical form requires the price process to observe rather stringent and unrealistic symmetry properties. In this paper, we develop a general self‐duality theorem to develop valuation schemes for barrier options in stochastic volatility models with correlation.     

A STRUCTURAL RISK‐NEUTRAL MODEL FOR PRICING AND HEDGING POWER DERIVATIVES

We develop a structural risk‐neutral model for energy market modifying along several directions the approach introduced in Aïd et al. In particular, a scarcity function is introduced to allow important deviations of the spot price from the marginal fuel price, producing price spikes. We focus on pricing and hedging electricity derivatives. The hedging instruments are forward contracts on fuels and electricity. The presence of production capacities and electricity demand makes such a market incomplete. We follow a local risk minimization approach to price and hedge energy derivatives. Despite the richness of information included in the spot model, we obtain closed‐form formulae for futures prices and semiexplicit formulae for spread options and European options on electricity forward contracts. An analysis of the electricity price risk premium is provided showing the contribution of demand and capacity to the futures prices. We show that when far from delivery, electricity futures behave like a basket of futures on fuels.