A proposed enterprise risk management model for health organizations

Health care organizations are environments with high management complexity and subject to a constant exposure to risks. Enterprise risk management (ERM) has been studied and applied in different economic environments with the aim of improving organizational performance. However, the health sector still suffers from a lack of attention in this context, in particular with regard to the need for a high degree of financial transparency and for the establishment of process-orientated management, and this provides the motivation for the study described in this paper. An ERM model for health organizations is proposed, based on a systematic literature review and on seven case studies in Brazilian hospitals. An approach to economic risk assessment using indicators such as the cash flow at risk and the variability of costs and receipts from the proposed model is suggested. The health organizations involved in the case studies all interpret ERM as a source of information contributing to corporate governance, and the indicators listed provide constructive data for improvement-driven decision-making. Given the interest expressed by the organizations involved, further application and validation of the proposed model in subsequent studies is suggested.     

Payoff-Improving Competition: Games with Negative Externalities

We demonstrate that more intense competition in games with production and negative externalities may be payoff-improving, and therefore welcomed by incumbents. In games that feature equilibria with strategic complements, increased competition may give rise to a new equilibrium where aggregate effort is lower, and the resulting reduced levels of externalities ultimately leaves all players better off. This setting applies to models of Cournot oligopoly, of common pool resources, and contests with endogenous prizes.

     

Politics and Insurgencies

The article provides an analytical approach to capturing the population‐centric view of insurgency and allows for the inclusion of politics in describing its earliest stages. The outcome of the politico‐military contest over population support now becomes not only a function of the proposed governing policies of the two contestants, the government and insurgents, but also a function of such factors as the sensitivity of the population to the proposed policies and efforts of the two parties, the effectiveness of their mobilization efforts, and the strategic value of the region to insurgents. We also look at two different scenarios in which the government can and cannot mobilize against the insurgency and establish conditions in which a government may actually choose not to mobilize against a possible domestic threat. We also determine conditions under which insurgents may engage in less rent extraction than the government in order to increase their chances of gaining population support.     

A longitudinal comparison of capital structure between young for-profit social and commercial enterprises

We develop a new perspective on capital structure differences between for-profit social and commercial enterprises by combining imprinting and social entrepreneurship theory. Using a longitudinal matched sample, we find that for-profit social enterprises have 40% to 13% lower leverage and up to four times greater leverage stability over time than commercial enterprises. Our results suggest that these differences in capital structure derive from the process of prosocial organizing, which goes beyond the primary focus on financial preferences. Thus, for-profit social enterprises—and similar hybrid organizations, such as B corporations—may require theories adjusted to their context.     

U.S. R&D internationalization in less‐developed countries: Determinants and insights from Brazil,China, and India

The growing U.S. R&D internationalization has historically been concentrated in developed countries. However, in the past few decades, the internationalization has moved toward less‐developed countries (LDCs), particularly Brazil, China, and India. What location factors are making some LDCs more “inviting” for U.S. R&D offshore? To answer this first question, we constructed a panel data using secondary data from the U.S. Bureau of Economic Analysis regarding the R&D investment made by the majority‐owned foreign affiliates of U.S. parent companies in 71 countries. We then applied a Heckman two‐step correction for selection bias test. The results highlight some important differences between developed countries’ and LDCs’ attractiveness. Based on these initial results, we conducted a detailed analysis of the determinants of U.S. R&D investments in Brazil, China, and India, which revealed that China’s determinants mostly match those found in more developed countries.     

Does SEC FRR No. 48 disclosure communicate risk management effectiveness?

We hypothesize that the quality of market risk disclosure mandated by the U.S. Securities and Exchange Commission Financial Reporting Release No. 48 (FRR No. 48) provides useful information for assessing risk management effectiveness. Measuring risk disclosure quality as the degree of modification, we find that higher-than-expected disclosure modification is associated with lower future cash flow volatility. On average, an increase in risk disclosure modification from the lowest to the highest decile is associated with a 5.34 percent decrease in cash flow volatility. Given the significant impact of cash flow volatility on firm value and capital investment, our results highlight the importance of market risk disclosures and should be of interest to investors and analysts.     

Transparency and inflation: What is the effect on the Brazilian economy?

This paper presents empirical evidence concerning the effect of central bank transparency on inflation considering the Brazilian case after the adoption of inflation targeting. Two indices for measuring transparency, based on forward-looking and backwardlooking views, are developed. Furthermore, empirical evidence is divided into three steps: (i) analysis of simple correlation through scatterplot diagrams; (ii) use of VAR models; and (iii) estimation of different specifications of the Phillips curve using OLS and GMM based on the structural model used by the Central Bank of Brazil (CBB). The findings allow one to conjecture that inflation expectations are well coordinated by the CBB. In short, the transparency of information by the CBB is a very important tool for guiding public expectations and thus contributes to maintain inflation under control.