Surplus distribution and characteristics of social enterprises: Evidence from microfinance

The issue of surplus distribution has hardly been analyzed in the context of the social economy. This paper highlights the main drivers of distribution between various stakeholders of microfinance institutions (MFIs), which are an example of social enterprises. We focus on three major variables: size, governance structure and subsidies. Our results show that the size of the institution is the main indicator of the surplus that the organization keeps as a self-financial margin. Moreover, MFIs with a cooperative ownership structure allocate a larger part of their surplus to their employees, whereas non-profit organizations and shareholder-firm MFIs do not allocate their surplus in a significantly different way among their main stakeholders. Finally, we do not find any clear-cut effect of subsidies on the surplus allocation process.     

Economic modelling of costs associated with outcomes reported for type 2 diabetes mellitus (T2DM) patients in the CANVAS and EMPA-REG cardiovascular outcomes trials

Aims: To model direct medical costs associated with reductions in cardiovascular disease (CVD) events in T2DM patients reported in the CANVAS and EMPA-REG trials, which assessed the cardiovascular safety of canagliflozin and empagliflozin, respectively.

Materials and methods: Costs were modeled from a US managed care organization (MCO) perspective for the CVD outcomes included in both trials: three-point major adverse cardiovascular event (MACE) and its components (cardiovascular-related death, nonfatal myocardial infarction, nonfatal stroke), as well as heart failure requiring hospitalization. The rate of CVD events averted (difference between study drug and placebo) was projected to the portion of an MCO T2DM population matching the respective trial’s inclusion criteria. A targeted literature search for paid amounts directly associated with each CVD event provided the unit costs, which were applied to the projected number of events averted, to calculate costs avoided per member per year (PMPY). One-way sensitivity analyses were performed on events averted, unit costs, and percentages of trial-applicable patients.

Results: Based on three-point MACE events averted, costs avoided PMPY of $6.17 (range: $1.27–$10.94) for CANVAS and $2.75 ($0.19–$4.83) for EMPA-REG were estimated. Costs avoided for individual components of MACE ranged from $0.77 to $3.84 PMPY for CANVAS and from -$0.97 (additional costs) to $1.54 for EMPA-REG. PMPY costs avoided for heart failure were $2.72 for CANVAS and $1.32 for EMPA-REG.

Limitations and conclusions: Models assumed independent, non-recurrent outcomes and were restricted to medical costs directly associated with the trial-reported events. The reductions in CVD events in T2DM patients reported for both CANVAS and EMPA-REG project to a positive cost avoidance for these events in an MCO population. The analysis did not include an assessment of the impact on total cost, as the costs associated with adverse events, drug utilization or other clinical outcomes were not examined.     

Factors Influencing Organic and Fair Trade Coffee Growers Level of Engagement with Cooperatives: The Case of Coffee Farmers in Mexico

We study the factors influencing the percentage of organic and fair trade certified coffee sold through a cooperative by growers of five cooperatives in Mexico. The percentage of coffee sold through the cooperative was used as a proxy of growers’ engagement with a cooperative. Using factor analysis and a fractional probit regression, we evaluated the proposition that the level of engagement can be explained by transaction cost economics, social norms and connections, and farmer and farm business characteristics. We found that farm size, uncertainty regarding cooperative time of payment to the members and cooperative commitment on price to be paid negatively influence the level of engagement. In contrast, asset specificity, relational commitment, and price have a positive impact on engagement. Our results may help cooperatives and policy makers to build strategies aiming to increase this level of engagement. This is relevant because lower grower engagement has been found to be positively correlated with weak performing cooperatives.     

Researching taste: an interview of Antoine Hennion

ABSTRACT

Antoine Hennion is a Professor of Sociology at the Centre de Sociologie de l’Innovation (Mines-Paris Tech, PSL/CNRS). He has been researching taste and cultural practices through a pragmatic lens for three decades. He has developed an original and impactful theoretical framework bridging the Actor-Network Theory to Cultural Studies. More precisely, he reconceptualized the notions of mediation and attachment. Antoine Hennion has explored various empirical settings, including music, wine, and sports. More recently, he has contributed to a large research project on migration. His books and academic articles have had an impact on Sociology, and are getting greater attention in consumer research.     

Can Bitcoin become money? The monetary rule problem

The growing literature on Bitcoin can be divided into two groups. One performs an economic analysis of Bitcoin focusing on its monetary characteristics. The other one takes a financial look at the price of Bitcoin. Interestingly, both of these groups have not given much more than passing comments to the problem of whether or not Bitcoin has the right monetary rule in order to become a well‐established currency. This paper argues that Bitcoin in particular, and cryptocurrencies in general, do not have a good monetary rule and that this shortcoming seriously limits its prospect of becoming widely used money.     

Bank market power and the intensity of borrower discouragement: analysis of SMEs across developed and developing European countries

Small Business Economics - This paper analyzes the effect of bank market power on the financial constraints of small and medium-sized enterprises (SMEs) through the study of borrower...     

Income Taxation and the Diversity of Consumer Goods: A Political Economy Approach*

After‐tax income inequality has risen since the mid‐1990s, as increases in market income inequality have not been offset by greater fiscal redistribution. We argue that the substantial increase in the diversity of consumer goods has mitigated mounting political pressures for redistribution. Within a probabilistic voting framework, we demonstrate that if the share of diversified goods in the consumption bundle increases sufficiently with income, then an increase in goods diversity can reduce the political equilibrium tax rate. Focusing on OECD countries, we find empirical support for both the model's micro‐political foundations and the implied relation between goods diversity and fiscal policy outcomes.     

The Euro — A Tale of 20 Years: What Are the Priorities Going Forward?

Intereconomics - First, we need to recall the initial objectives set for the euro and how these have changed over time, notably due to the weaknesses that came to the fore throughout the recent...     

FINANCIAL SAFETY NETS

We study the optimal design of financial safety nets under limited private credit, asking whether and when it is optimal to restrict ex ante the set of investors that can receive public liquidity support. When the government lacks commitment, we show that the optimally designed safety net covers only a subset of investors. Compared to an economy where all investors are protected, this results in more liquid portfolios, better social insurance, and higher welfare. Our results can rationalize the prevalence of limited safety nets as well as the coexistence of traditional and shadow banks.     

Extreme value statistics for censored data with heavy tails under competing risks

This paper addresses the problem of estimating, from randomly censored data subject to competing risks, the extreme value index of the (sub)-distribution function associated to one particular cause, in a heavy-tail framework. Asymptotic normality of the proposed estimator is established. This estimator has the form of an Aalen-Johansen integral and is the first estimator proposed in this context. Estimation of extreme quantiles of the cumulative incidence function is then addressed as a consequence. A small simulation study exhibits the performances for finite samples.