Expected benefits and perceived risks of cloud computing: an investigation within an Italian setting

Over the past several years, cloud computing has increasingly been regarded as able to improve efficiency within organisations. The aim of this study is to address under-investigated issues related to the implementation of cloud computing, with a particular focus on expected benefits and the perception of risks. Towards this aim, on the basis of an adapted version of the technology acceptance model, we carried out a semi-structured survey among first-time cloud computing users to identify expected benefits and perceived risks. The survey of this study included a sample of 130 individuals in 65 enterprises located within Italy. We chose an Italian setting because it is characterised by an increasing number of programmes that emphasise the importance of cloud computing and support its wide dissemination. The findings of this study identify possible areas for improvement within the implementation phases of cloud computing.     

Economic Openness and Fiscal Multipliers*

Recent empirical findings attribute a central role to the degree of economic openness to determine the size of the fiscal multiplier. See, for instance, Ilzetzki et al. (2013) [How big (small?) are fiscal multipliers? Journal of Monetary Economics, 60(2), 239–254]. However, traditional macroeconomic models have difficulties to account for this evidence. By introducing ‘deep-habit’ formation into a New Keynesian small open economy model, this paper provides a theoretical framework which is able to attest for the new empirical evidence. Deep habits give rise to counter-cyclical firm markups, which are crucial to generate effects of openness on the fiscal multiplier as found in the data. We study three dimensions of economic openness: exchange rate flexibility, trade openness, and capital mobility. In line with the empirical findings, we report a negative relationship between measures of economic openness and the fiscal multiplier.     

Innovation and ICT use in the EU: an analysis of regional drivers

Innovation and the use of information and communication technologies (ICT) are key areas for the European Cohesion Policy. Studies available at the regional level explore innovation and ICT use incorporating different variables, while those investigating ICT use mainly focus on that of households. This paper investigates the existence of common factors for innovation and ICT at the regional level, considering not only ICT use by households but also that of firms. Using factorial and spatial regression analysis, we find that although ICT use and innovation are mainly explained by different variables, knowledge-intensive services and the percentage of population aged 15–64 are common to all of them. In addition, ICT use by households and ICT use by firms are basically driven by different factors. Government quality is the main factor explaining ICT use at home, while ICT use by firms is mostly driven by employment in knowledge-intensive services. R&D is the main variable explaining innovation. We also find positive spatial effects, which are particularly notable in ICT use by households. The results stress the importance of promoting specialization strategies based on the knowledge economy that may contribute to creating synergies between innovation and ICT use in different environments.     

The impact of peer ratings on cooperation: The role of information and cost of rating

In this study, we experimentally analyze the effectiveness of payoff‐irrelevant peer‐to‐peer ratings as a cooperation enforcement device in a finitely repeated public goods game setting. We run two treatments that differ in the amount of information on own and others' received rating points provided to the players, whereas, in a third treatment, we analyze peer approval when assigning ratings to others is costly. In particular, we wonder whether, even under anonymity and in the absence of reputational concerns, (a) players rate others' contribution decisions in the expected direction and (b) the peer rating mechanisms under study foster cooperation and welfare. Our findings reveal that, in the two costless rating treatments, peer rating concerns lead to higher contributions and efficiency, compared to our control. Introducing a small fixed cost for assigning rating points results in a very high percentage of subjects deciding not to rate others' behavior, so that cooperation cannot be enforced.     

Financial crises,debt overhang,and firm growth in transition economies

ABSTRACT

We examine the effects of the global financial crisis of 2008 and the European debt crisis of 2011 on the relationship between capital structure, investments, and performance for Eastern European companies. While the existing literature documents how firms’ investments are sensitive to the availability of internal funds and to debt holdings, we further investigate whether this investment sensitivity also translates in different levels of performance, and document that capital structure indeed has both a direct and an indirect effect, mediated by the capital expenditure channel. We show that firms with higher financial flexibility experience higher investments and returns on capital. Over-levered firms instead suffer from a debt overhang condition, forcing them to curb investments, and consequently experiencing lower performance. Overall, we provide evidence on the importance of capital structure and financial flexibility on investments and performance, showing the real consequences of the debt overhang condition on firm value creation. Firms should therefore aim at maintaining adequate financial flexibility in order to be able to pursue future profitable investment opportunities, and avoid the under-investment problem arising from a debt overhang situation.     

The Role of the Judiciary in the Public Decision‐Making Process

Empirical work on the relationship between political corruption and the design of public institutions suggests that the structure of judiciaries is an important determinant of corruption. This study develops a simple political economic model to investigate the role of judicial oversight in the policy‐making process for corruption deterrence, focusing on two dimensions of quality of the judiciary, namely efficiency and integrity. Our analysis explicitly accounts for the possibility that, while being independent of the political authority, the judiciary itself may be vulnerable to pressure from special interests. We study endogenous policy‐making under complete information and provide general conditions for the existence of deterrence (zero‐bribe) equilibria. In particular we show that preserving the independence of judiciaries in corrupt societies proves crucial to the existence of corruption‐deterrence effects.     

Firms' financial choices and thin capitalization rules under corporate tax competition

Thin capitalization rules have become an important element in the corporate tax systems of developed countries. This paper sets up a model where national and multinational firms choose tax-efficient financial structures and countries compete for multinational firms through statutory tax rates and thin capitalization rules that limit the tax-deductibility of internal debt flows. In a symmetric tax competition equilibrium, each country chooses inefficiently low tax rates and inefficiently lax thin capitalization rules. We show that a coordinated tightening of thin capitalization rules benefits both countries, even though it intensifies competition via tax rates. When countries differ in size, the smaller country not only chooses the lower tax rate but also the more lenient thin capitalization rule.     

The animal spirits hypothesis and the Benhabib–Farmer condition for indeterminacy

This paper provides a self-contained review of the introduction of the animal spirits hypothesis into the infinite horizon optimal‐growth model. The analysis begins with an economic discussion of Pontryagin's maximum principles. Thereafter, I develop a version of the increasing-returns Benhabib–Farmer model by showing the possible sub-optimality of the central planner solution and deriving the bifurcation condition for indeterminacy. Moreover, I give some insights on how to model intrinsic and extrinsic uncertainty. Finally, analyzing the equilibrium condition of the labor market, I provide an intuitive rationale for the mechanism that in this model might lead prophecies to be self-fulfilling.     

Business investment in euro area countries: the role of institutions and debt overhang

The recovery of business investment in the euro area has been sluggish, thereby hampering aggregate demand in the short term and potential growth in the long run. While we show that business investment can be associated to cost and supply of credit, cyclical demand conditions and economic uncertainty. But we also find evidence of additional factors. We suggest that there exists a link between excess leverage and weak economic institutions on the one hand and subdued investment growth on the other hand. Moreover, in euro area countries with both larger excess leverage and weaker economic institutions, the link with business investment is found to be stronger. The link between investment and weak institutions or excess leverage highlights the importance of structural reforms aimed at easing business regulations, reducing administrative burdens and increasing the efficiency of insolvency frameworks. These reforms are thus expected to reduce distortions in the allocation of resources and be supportive of a smoother deleveraging process, hence fostering business investment.     

Is there a role for uncertainty in forecasting output growth in OECD countries? Evidence from a time-varying parameter-panel vector autoregressive model

This paper uses a time-varying parameter-panel vector autoregressive (TVP-PVAR) model to analyze the role played by domestic and US news-based measures of uncertainty in forecasting the growth of industrial production of 12 Organisation for Economic Co-operation and Development (OECD) countries. Based on a monthly out-of-sample period of 2009:06 to 2017:05, given an in-sample of 2003:03 to 2009:05, there are only 46% of cases where domestic uncertainty can improve the forecast of output growth relative to a baseline monetary TVP-PVAR model, which includes inflation, interest rate and nominal exchange rate growth, besides output growth. Moreover, including US uncertainty does not necessarily improve the forecasting performance of output growth from the TVP-PVAR model which includes only the domestic uncertainty along with the baseline variables. So, in general, while uncertainty is important in predicting the future path of output growth in the 12 advanced economies considered, a forecaster can do better in majority of the instances by just considering the information from standard macroeconomic variables.