Allocation of public funds to R&;D: a portfolio choice-styled decision model and a biotechnology case study

A decision problem—allocating public research and development (R&D) funding—is faced by a planner who has ambiguous knowledge of welfare effects of the various research areas. We model this as a reverse portfolio choice problem faced by a Bayesian decision-maker. Two elements of the planner’s inferential system are developed: a conditional distribution of welfare ‘returns’ on an allocation, given stated preferences of citizens for the different areas, and a minimum risk criterion for re-allocating these funds, given the performance of a status quo level of funding. A case study of Canadian public research funds expended on various applications of agricultural biotechnology is provided. The decision-making methodology can accommodate a variety of collective expenditure and resource allocation problems.     

Deferred taxation under default risk

In this article, we have used a continuous EBIT-based model to study deferred tax liabilities under default risk. Quite surprisingly, default risk has been disregarded in research on deferred taxation. In order to underline its importance, we first calculated the probability of default, over a given time period, together with the contingent value of tax deferral. We then applied our theoretical model to a sample of 27,749 OECD companies. We showed that, when accounting for both firms with a negative EBIT and firms with a probability of default higher than 50% (over a 10-year period), a relevant percentage of firms were close enough to default. Hence, the expected present value of deferred taxes is much lower than that obtained in a deterministic context. From the Government’s point of view, deferred tax liabilities are a risk-free loan. Since only a portion are subsequently repaid, the Government should account for future losses due to companies’ default. So far, these estimates have been missing, although techniques do exist and are quite practical.     

Incorporating risk in a positive mathematical programming framework: a dual approach

In this study we develop a new methodological proposal to incorporate risk into a farm‐level positive mathematical programming (PMP) model. We estimate simultaneously the farm nonlinear cost function and a farmer‐specific coefficient of absolute risk aversion as well as the resource shadow prices. The model is applied to a sample of representative arable crop farms from the Emilia‐Romagna region in Italy. The estimation results confirm the calibration ability of the model and reveal the values of the individual risk aversion coefficients. We use the model to simulate different scenarios of crop price volatility, in order to explore the potential risk management role of an agri‐environmental scheme.     

XBRL for Financial Reporting: Evidence on Italian GAAP versus IFRS

The systematic adoption of the eXtensible Business Reporting Language (XBRL) for financial reporting represents a great challenge. Worldwide, a large number of regulators are making an effort to promote the adoption of this standard to simplify and enhance the communication of financial information. This requires the definition of well‐structured taxonomies that can standardize and accommodate the content of financial reports prepared by firms. This study aims to analyze the regulator‐led adoption of XBRL for financial reporting. It examines the XBRL taxonomies used by Italian firms to reflect their financial reporting under rule‐based Italian GAAP and principles‐based International Financial Reporting Standards (IFRS). We compare the alignment of the Italian GAAP taxonomy and the IFRS taxonomy with Italian companies' financial statements and find two different levels of fit. The results offer useful insights for regulators and policy makers in prescribing or establishing appropriate taxonomies. We illustrate the potential impacts of the different taxonomies on the quality of financial reporting in terms of comparability and potential loss of information.     

Using FTE and RVU performance measures to assess financial viability of academic nurse-managed centers

Financial performance measures are essential to improve the fiscal management of academic nurse-managed centers (ANMCs). Measures are compared among six ANMCs in a consortium and against an external, self-sustainable, profitable ANMC and national data for family practice physicians. Performance measures help identify a center's strengths and weaknesses facilitating the development of strategies aimed at a variety of targets (business practices related to revenue and costs) to improve financial viability. Using a variety of financial performance measures to inform decision making will aid ANMCs in keeping their doors open for business.     

Does the recent success of some OECD countries in lowering their unemployment rates lie in the clever design of their labor market reforms?

In recent years some OECD countries were successful in loweringthe unemployment rate substantially while other countries werenot. In this paper we investigate to what extent successfulcountries implemented a comprehensive set of institutional reforms.We present a theoretical framework to investigate the relationshipbetween unemployment and labor market institutions (LMI) suchas labor taxes, unemployment benefits, employment protection,union bargaining power and (de)centralization of bargaining.In our empirical analysis of data over the period 1960–99of 17 OECD countries we show that particular combinations ofLMI are responsible for low unemployment rates.     

Research returns redux: a meta-analysis of the returns to agricultural R&D

A total of 289 studies of returns to agricultural R&D were compiled and these provide 1821 estimates of rates of return. After removing statistical outliers and incomplete observations, across the remaining 1128 observations the estimated annual rates of return averaged 65 per cent overall — 80 per cent for research only, 80 per cent for extension only, and 47 per cent for research and extension combined. These averages reveal little meaningful information from a large body of literature, which provides rate-of-return estimates that are often not directly comparable. This study was aimed at trying to account for the differences. Several features of the methods used by research evaluators matter, in particular assumptions about lag lengths and the nature of the research-induced supply shift.