Modeling society with statistical mechanics: an application to cultural contact and immigration

We introduce a general modeling framework to predict the outcomes, at the population level, of individual psychology and behavior. The framework prescribes that researchers build a cost function that embodies knowledge of what trait values (opinions, behaviors, etc.) are favored by individual interactions under given social conditions. Predictions at the population level are then drawn using methods from statistical mechanics, a branch of theoretical physics born to link the microscopic and macroscopic behavior of physical systems. We demonstrate our approach building a model of cultural contact between two cultures (e.g., immigration), showing that it is possible to make predictions about how contact changes the two cultures.     

The Coordinated Effect of a Merger with Balanced Sharing of Collusive Profits

It is hard to assess the coordinated effect of mergers in solid and convincing fashion, in part because economic theory deals mainly with the sustainability of tacit collusion and generally does not explore the conditions that foster collusion in the first place. Also the most popular schemes of collusion (Joint profit maximization and Nash Bargaining) proposed by the economic literature seem at odds with the evidence recorded on cartels and with the practical attitude of entrepreneurs. In this scenario the recent version of the Horizontal Merger Guidelines contained the interesting suggestion to pay attention to the process - parallel behaviour – which leads to collusive equilibria. Working on the same intuition we propose an approach based on the idea that firms can always find a feasible collusive agreement, for every possible value of the factor which discounts future profits. Assuming that in order to collude, firms demand the fair sharing of collusive gains, we exploit the egalitarian property of grim trigger strategies when all incentive compatibility constraints are binding. This approach suggests using three indicators to determine whether and how a merger affects the probability of collusion. An application of this approach to a real-world case (the AT&T/T-Mobile merger) is provided.     

The Trade Competitiveness of Southern Emerging Economies: A Multidimensional Approach Through Cluster Analysis

This paper investigates the trade competitiveness of the new emerging Southern economies – China, India, Brazil and South Africa (CIBS) – with respect to their main global partners. Starting from the commonly held view that countries with trade patterns similar to those of emerging countries are likely to suffer losses, we propose a multidimensional approach based on cluster analysis, both crisp and fuzzy, as an alternative strategy for assessing similarity in global trade patterns. On the basis of key trade characteristics drawn from the diverse strands of trade theory, we assess the relative position of CIBS within global trade patterns and their evolution over time. Unlike previous studies, our results do not support the hypothesis of the presence of a competitiveness threat from Southern emerging countries towards the main industrialised economies.     

The impact of direct environmental,social, and governance reporting: Empirical evidence in European-listed companies in the agri-food sector

Companies are continuously pressured for the dissemination of environmental, social, and governance (ESG) information, because of the constant debate on the issue of corporate sustainability, considered a critical and very important topic for society; despite this pressure, ESG's disclosure practices vary considerably from company to company, both in quantity and quality. The study aims to address the issue and verify the effectiveness of ESG reporting through the influence that the ESG disclosure has on profitability and value of listed European agri-food companies. The results obtained, studying a sample of 57 European-listed companies (EU28) in the agri-food sector observed in the period 2010–2018, show that the ESG disclosure practices of the companies impact corporate profitability; specifically, evidence is provided for the existence of a positive relationship between profitability and disclosure practices of strictly environmental and social information and a negative effect between company market value and disclosure practices relating to governance. These results suggest that greater transparency and accountability help to improve business profitability.     

Opening and linking up: firms,GVCs, and productivity in Latin America

This work explores the relationship between exports, global value chains (GVCs)’ participation and position, and firms’ productivity. To this aim, we combine the most recent World Bank Enterprise Survey in Latin American and Caribbean (LAC) countries with the Organisation for Economic Co-operation and Development and World Trade Organization trade in value-added data. To explore the above relationship, we adopt an extended version of the standard Cobb-Douglas output function including indicators of export performance and GVCs. We control for heterogeneity among firms (by country, region, and industry), sample selection, firms’ characteristics, and reverse causality. Our empirical outcomes confirm the presence of a positive relationship between participation in international activities and firm performance. They also show that both participation in GVCs and position within GVCs matter. These findings have strong policy implications and may help policymakers in choosing the best policy options to enhance the link between GVCs’ integration and firms’ productivity.     

SME financing and the choice of lending technology in Italy: Complementarity or substitutability?

This paper investigates SME financing in Italy. The literature distinguishes between two main different lending technologies (LTs) for SMEs: transactional and relationship LTs. We find that banks lend to SMEs by using both LTs together, independently of the size and proximity of borrowers. Moreover, we show that the use of soft information decreases the probability of firms being credit rationed. Finally, we find that more soft information is produced when the bank uses relationship LT as primary technology individually or coupled with transactional LT. Our results support the view that LTs can be complementary, but reject the hypothesis that substitutability among LTs is somehow possible for outsiders by means of hardening of soft information.     

The relationships between CEO characteristics and strategic risk-taking in family firms

Abstract

We examine the influences of chief executive officer (CEO) personal characteristics on family firms’ strategic risk-taking. Building on upper echelons theory, we investigate the influences of CEO family relationships, the CEO professional education, other career experiences, tenure, and career horizon have on the risk level a company takes. By analyzing a sample of 107 Italian family firms listed on the Milan Stock Exchange, we find that company’s risk-taking significantly and negatively relates to CEO family relationship and professional education, but positively to CEO career horizon. This provides support to the argument that such CEO personal characteristics are key factors in explaining differences in risk-taking among family firms. Further, our analysis of control variables shows that family firms’ risk-taking relates positively to board size and negatively to company size. These results suggest that company and board characteristics also significantly influence the risk levels taken by a company.     

The impact of Clean Spark Spread expectations on storage hydropower generation

Decisions in Economics and Finance - Storage hydropower generation plays a crucial role in the electric power system and energy transition because it is the most widespread power generation with...     

Supporting capacity sharing in the cloud manufacturing environment based on game theory and fuzzy logic

This paper proposes a Framework for Capacity Sharing in Cloud Manufacturing (FCSCM) able to support the capacity sharing issue among independent firms. The success of geographical distributed plants depends strongly on the use of opportune tools to integrate their resources and demand forecast in order to gather a specific production objective. The framework proposed is based on two different tools: a cooperative game algorithm, based on the Gale–Shapley model, and a fuzzy engine. The capacity allocation policy takes into account the utility functions of the involved firms. It is shown how the capacity allocation policy proposed induces all firms to report truthfully their information about their requirements. A discrete event simulation environment has been developed to test the proposed FCSCM. The numerical results show the drastic reduction of unsatisfied capacity obtained by the model of cooperation implemented in this work.