Drivers of participation in collective arrangements in the agri‐food supply chain. Evidence from Italy using a transaction costs economics perspective

The analysis of institutions in the agro‐food sector is gaining momentum since it represents a complex and relevant area of study as concerns intermediate‐product markets. Traditionally there has been a problem of organization among farmers mainly due to the reluctance to pool decisional and property rights on input and/or output. Following the Transaction Costs Economics framework, the paper aims to investigate which are the main drivers of the collective forms of organization in the Italian agro‐food system, paying particular attention to transaction costs’ attributes and to the increasing role played by the institutional environment as well. The choice to join a cooperative or producer organization is therefore conceptualized as a governance structure choice. In this regard, based on the Italian version of the Farm Accountancy Data Network, econometric models are estimated in order to account for the two organizational alternatives under investigation.     

Exporters and Importers of Services: Firm‐Level Evidence on Italy

This work contributes to the growing literature on international trade in services at firm level. Our data set provides information on exports and imports of services (excluding transportation and travel) in 2008–09 for almost 3,000 Italian industrial and services firms, divided by partner country and type of service. We report a set of stylised facts on services trade and analyse the choice between export and foreign direct investment in services at the firm level. We find that the export and import of services are highly concentrated in just a few firms. Firm‐level variation in trade is positively correlated with firm size and productivity. Country‐level variation is to a large extent explained by the standard gravity variables: distance strongly reduces trade in services in spite of their intangibility. Smaller and less productive firms choose to export rather than sell through foreign affiliates, although there is some heterogeneity among service types.     

Productivity growth,Smith effects and Ricardo effects in Euro Area's manufacturing industries

We analyse the determinants of labour productivity across (a sample of) EA member states. We focus on the divergent dynamics before and after the financial crisis, and of core countries relative to peripheral countries. We ground our empirical analysis in Paolo Sylos-Labini's productivity equations. We test different models, including a Panel 2S-LS model and a Panel vector autoregression model. Our preliminary findings confirm and strengthen Sylos-Labini's main insights. Labour productivity in manufacturing industries is strongly and positively correlated with the market size (Smith effect), the relative cost of labour (Ricardo effect), the absolute cost of labour (organization effect) and past investment, whereas it is negatively correlated with current investment. Furthermore, we find evidence that the crisis has affected the size of these effects. Focusing on the core periphery dichotomy, the signs of the effects are the same for both groups of countries, although the Smith, Ricardo and long-run investment effects are usually stronger for core countries compared to peripheral countries. The opposite holds for the organization effect, while investment effects are less clear.     

Network valuation in financial systems

We introduce a general model for the balance‐sheet consistent valuation of interbank claims within an interconnected financial system. Our model represents an extension of clearing models of interdependent liabilities to account for the presence of uncertainty on banks' external assets. At the same time, it also provides a natural extension of classic structural credit risk models to the case of an interconnected system. We characterize the existence and uniqueness of a valuation that maximizes individual and total equity values for all banks. We apply our model to the assessment of systemic risk and in particular for the case of stress testing. Further, we provide a fixed‐point algorithm to carry out the network valuation and the conditions for its convergence.     

Government policies to enhance access to credit for infrastructure-based PPPs: an approach to classification and appraisal

Governments across the world have introduced a variety of instruments to enhance private investors’ appetites for public–private partnership (PPP) projects. The use of such instruments has become a core component of development and growth policies, for example by the EU as part of the Junker Plan. This paper provides a comprehensive categorization of these instruments, the risks they target and their effects, at both the project and system level, to support policy-makers to design the most appropriate instruments to attract private capital into infrastructure development.     

Missing in Asynchronicity: A Kalman‐em Approach for Multivariate Realized Covariance Estimation

Motivated by the need for a positive‐semidefinite estimator of multivariate realized covariance matrices, we model noisy and asynchronous ultra‐high‐frequency asset prices in a state‐space framework with missing data. We then estimate the covariance matrix of the latent states through a Kalman smoother and expectation maximization (KEM) algorithm. Iterating between the two EM steps, we obtain a covariance matrix estimate which is robust to both asynchronicity and microstructure noise, and positive‐semidefinite by construction. We show the performance of the KEM estimator using extensive Monte Carlo simulations that mimic the liquidity and market microstructure characteristics of the S&P 500 universe as well as in a high‐dimensional application on US stocks. KEM provides very accurate covariance matrix estimates and significantly outperforms alternative approaches recently introduced in the literature. Copyright © 2014 John Wiley & Sons, Ltd.     

Delivering training strategies: the balanced scorecard at work

Aligning the value of training to organizational goals is an emerging need in human resource management. This study, aiming at expanding the research on training evaluation from a strategic management perspective, examines whether the use of the Balanced Scorecard approach can enable an effective delivery of training strategies, thus strengthening the link between training and organizational goals. The research was based on action research methodology. Researchers worked for about 12 months with three healthcare organizations. The research findings indicate that the balanced scorecard: (1) allows visualization of a clearly focused and internally consistent map of cause‐and‐effect relationships, turning the functional training efforts into strategic results; (2) effectively supports the training function both in managing training processes and in delivering targeted organizational outcomes; (3) offers a specific set of critical measures for evaluating the training function's performance; and (4) permits the fostering of a sound alignment between training programme objectives and functional goals. Various theoretical and practical implications are discussed.     

Modelling Deposit Insurance Scheme Losses in a Basel 2 Framework

This paper extends the existing literature on deposit insurance by proposing a new approach for the estimation of the loss distribution of a Deposit Insurance Scheme (DIS) that is based on the Basel 2 regulatory framework. In particular, we generate the distribution of banks’ losses following the Basel 2 theoretical approach and focus on the part of this distribution that is not covered by capital (tail risk). We also refine our approach by considering two major sources of systemic risks: the correlation between banks’ assets and interbank lending contagion. The application of our model to 2007 data for a sample of Italian banks shows that the target size of the Italian deposit insurance system covers up to 98.96% of its potential losses. Furthermore, it emerges that the introduction of bank contagion via the interbank lending market could lead to the collapse of the entire Italian banking system. Our analysis points out that the existing Italian deposit insurance system can be assessed as adequate only in normal times and not in bad market conditions with substantial contagion between banks. Overall, we argue that policy makers should explicitly consider the following when estimating DIS loss distributions: first, the regulatory framework within which banks operate such as (Basel 2) capital requirements; and, second, potential sources of systemic risk such as the correlation between banks’ assets and the risk of interbank contagion.     

Are small family firms financially sophisticated?

We study the drivers of financial sophistication in small family firms. Sophistication is defined as the use of non-basic financial products such as options, swaps, debt restructuring, and mergers and acquisitions (M&A) advisory services. Our analysis is based on a unique dataset with detailed information on 187 Italian family firms. We find that the main drivers of financial sophistication are: (1) the generation that currently owns the firm; (2) the presence of a non-family CFO; and (3) the existence of a non-family shareholder. We analyze the impact of these factors on the following four classes of non-basic financial products: corporate finance, cash management, corporate lending and risk management. Our results can be used to determine the characteristics of financially sophisticated family firms and whether their corporate governance and ownership structure increase the use of non-basic financial products.