The Italian financial cycle: 1861–2011

In this paper, we investigate the main features of the Italian financial cycle, extracted by means of a structural trend-cycle decomposition of the credit-to-GDP ratio, using annual observations from 1861 to 2011. In order to draw conclusions based on solid historical data, we provide a thorough reconstruction of the key balance sheet time series of Italian banks, considering all the main assets and liabilities over the last 150 years. We come to three main conclusions. First, while there was close correlation between loans and deposits (relative to GDP) until the mid-1970s, over the last 30 years, this link became more tenuous and the volume of loans has increased in relation to deposits. The banks covered this “funding gap” mainly by issuing new debt securities. Second, the Italian financial cycle has a much longer duration than traditional business cycles. Third, taking into account the deviation of the credit-to-GDP ratio from its trend, an acceleration of credit preceded or accompanied a banking crisis in 8 out of the 12 episodes listed by Reinhart and Rogoff (This time is different: eight centuries of financial folly. Princeton University Press, Princeton, 2009). A Logit regression confirms a positive association between the probability of a banking crisis and a previous acceleration of the credit-to-GDP gap. However, there were also periods—such as the early 1970s—in which the growth of the credit-to-GDP ratio was not followed by a banking crisis.     

Panel data and descriptor for energy econometrics – an efficiency,resilience and innovation analysis

Quality & Quantity - The work at hand presents a new extensive panel dataset for energy economics, econometrics and policy. The referred dataset is made of 5000 observations circa, including 6...     

NEW ORGANIZATIONAL MODELS IN EUROPEAN LOCAL PUBLIC TRANSPORT: FROM MYTH TO REALITY*

ABSTRACT: The Europeanization of public services is frequently considered to have created pressure for Member States to progressively converge towards a new dominant organizational model, based on deregulation, de‐integration and privatization. However, while in some sectors European directives played a crucial role in boosting a common evolutionary path, in other cases, mainly related to local public services, this influence remained feeble and more uncertain. The empirical insight on EU Local Public Transport Services carried out in this paper aims at investigating if and to what extent this new dominant paradigm actually emerges, or if and to what extent more fragmented and heterogeneous outcomes prevail. The main outcome is that the public role in Local Public Transport is still widespread and that a major theoretical and analytical focus should be directed to the ability of the principal‐competent public administration to play its role in an effective and sound manner, while often too much attention is paid to the characteristics of the agent‐operator (public‐private, big or small, foreign or national, etc.).     

Measuring persistence in Croatian tourism: evidence from the Adriatic region

This study examines the degree of persistence in foreign tourist arrivals and overnight stays for seven Croatian coastal counties over the period January 1998 to December 2013 using fractional integration techniques. Our findings reveal that the respective regional tourism indicators exhibit seasonal unit roots which require seasonal first differences to render the respective time series stationary. With respect to the long-run evolution of the respective time series, both the parametric and semi-parametric fractional integration approaches show the degree of persistence is greater than zero, but significantly less than one for the majority of the coastal counties. Impulse response analysis reveals indeed shocks to the deseasonalized time series, either foreign tourist arrivals or foreign tourist overnight stays, appear short-lived with the exception of Istria and Primorje-Gorski kotar counties. Policy implications of the results are also discussed.     

Vacancy durations - a model for employer's search

This paper investigates a Dutch data set on vacancy durations and numbers of applicants to enquire employers' search strategies. A nonsequential search process assumes that most vacancies are filled from a pool of applicants, which is formed shortly after the posting of the vacancy. The time spent on recruiting applicants and the duration of the selection process are estimated with a proportional hazard model, via the arrival and attrition rates of applicants.     

A comprehensive conceptual and bibliometric study of person-centered methodologies

Person-centered approaches, such as latent profile analysis (LPA) and qualitative comparative analysis (QCA), have gained in popularity in organizational scholarship because of their ability to provide insight into how interrelations between a group of conditions can lead to a particular outcome. Despite the growing acceptance of person-centered approaches in social science research, traditional variable-centered approaches continue to prevail, although their dominance is increasingly questioned. This paper offers in-depth analysis of the current state of QCA and LPA from both a conceptual and a bibliometric perspective. This study thus aims to contextualize the role of person-centered methodologies in organizational scholarship. This aim is important, given the significance of exploring novel approaches to advance knowledge in organizational research. This paper provides scholars with quantifiable and readily comparable information on the use of these emerging but promising methods in organizational studies. Ultimately, this scientific contribution sheds light on the current and prospective applications of person-centered methods in research. Moreover, it offers scholars who are considering applying these methods objective analysis of the scientific production in this area thus far.

     

Credit allocation and the financial crisis: evidence from Spanish companies

The worldwide financial crisis of 2007–2008 raised serious concerns about the soundness of banks’ activities and about the extent to which banking regulation should supervise banks’ investment decisions. We contribute to this topic by examining the Spanish case, which has been emblematic of the bubble and burst dynamics in the credit market. In particular, we study the allocation of bank credit among Spanish companies from 1999 to 2014, showing that larger companies accumulated greater amounts of bank loans per unit of total assets, thus leading to a notable concentration. We also find that, during the Spanish boom period, bank loans shifted from the manufacturing to the construction industry, and in particular to the largest companies of the latter sector. This happened in spite of the high leverage of large construction firms, which was increasing also due to their growing debt. We argue that the higher operating benefits, reflecting the increase of the housing price during the boom period, overvalued construction firms as potential borrowers. The bankruptcy of several large construction companies during the Spanish crisis supports the need for monitoring and regulation, to avoid an excessive concentration of bank credit to a few large companies, especially if they belong to a specific sector.

     

Industry 4.0 technologies in the manufacturing sector: Are we sure they are all relevant for environmental performance?

This research contributes to the debate about the relevance of Industry 4.0 technologies in improving environmental performance in the manufacturing industry. We employed a qualitative–quantitative approach in which 19 Italian operations managers were interviewed and 260 managers responded to an online questionnaire. The effects of various technologies were ranked using ordinal regression. Comments and suggestions gave context to the quantitative results. Sensors, radio-frequency identification, artificial intelligence and analytics were found to be most relevant in improving environmental performance, whereas simulation software contributed moderately. Additive manufacturing, cobots, robots, automated mobile robots and automated guided vehicles had a negative effect, augmented reality had no effect and other technologies indirectly affected environmental performance. We also found a lack of knowledge and application as well as scepticism about technologies such as artificial intelligence and augmented reality. Finally, there was concern about the disposal of electrical and electronic waste produced by these technologies.     

From private label to co-branded credit card: an assessment of the impact of a change in value proposition over customer value perception and company value capture

Journal of Financial Services Marketing - Purpose: The aim of this paper is to evaluate the success of a value proposition over time, considering two aspects: customer’s perceived value and...