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Davide Fiaschi
University of Pisa
60Publications
10H-index
431Citations
Publications 60
Newest
Published on Mar 1, 2019in Structural Change and Economic Dynamics 1.56
Davide Fiaschi10
Estimated H-index: 10
(UniPi: University of Pisa),
Tamara Fioroni3
Estimated H-index: 3
(University of Verona)
Abstract This paper proposes a framework inspired by the Unified Growth Theory and by the literature on structural change to assess the contribution of technology, adult mortality, workforce, and physical and human capital accumulation to the transition from Malthusian stagnation to modern growth. A calibrated version of the model is capable of reproducing the dynamics of Great Britain's (i.e. England, Wales and Scotland) economy during the period 1541–1914, matching both the timing of transitio...
Published on Mar 1, 2018in Journal of Regional Science 1.94
Davide Fiaschi10
Estimated H-index: 10
(UniPi: University of Pisa),
Andrea Mario Lavezzi9
Estimated H-index: 9
(University of Palermo),
Angela Parenti4
Estimated H-index: 4
This paper evaluates the effectiveness of European Cohesion Policy in the regions of 12 EU countries in the period 1991–2008, on the basis of a spatial growth model, which allows for the identification of both direct and indirect effects of EU funds on GDP per worker growth. We find that “Objective 1†funds are characterized by strong spatial externalities and a positive and concave effect on the growth of GDP per worker, which reaches a peak at the ratio funds/GDP of approximately 3 percen...
Published on Jan 1, 2018
Davide Fiaschi10
Estimated H-index: 10
(UniPi: University of Pisa),
Davide Fiaschi1
Estimated H-index: 1
(UniPi: University of Pisa),
Cristina Tealdi1
Estimated H-index: 1
In this chapter we provide a descriptive analysis of inter-regional mobility in Italy for the period between 1992 and 2005. We use ISTAT data on the change of residence for groups of individuals according to age and education. We find evidence of two different types of migration. The first is the migration of working age individuals who respond to changes in economic conditions. The second is the return migration, which involves older cohorts of individuals, it is mainly driven by factors non-ec...
Published on Jul 3, 2017in Spatial Economic Analysis 1.90
Davide Fiaschi10
Estimated H-index: 10
(UniPi: University of Pisa),
Lisa Gianmoena2
Estimated H-index: 2
(Marche Polytechnic University),
Angela Parenti4
Estimated H-index: 4
(International Council for the Exploration of the Sea)
ABSTRACTAsymmetric macroeconomic volatility in European regions. Spatial Economic Analysis. This paper investigates, on the basis of a theoretical spatial model, the determinants of macroeconomic volatility of per capita gross domestic product (GDP) in a panel of 257 NUTS-2 European regions in 1992–2008, considering positive and negative fluctuations separately. Evidence is found of strong positive spatial dependence, and of considerable asymmetric effects on macroeconomic volatility of sectoral...
Published on Jun 1, 2017in Journal of World Business 5.79
Davide Fiaschi10
Estimated H-index: 10
(UniPi: University of Pisa),
Elisa Giuliani22
Estimated H-index: 22
(UniPi: University of Pisa),
Federica Nieri2
Estimated H-index: 2
(UniPi: University of Pisa)
Abstract As emerging (and developing) country firms internationalize, they often need to build legitimacy to overcome home-country liabilities. We argue that international legitimacy is at risk if these firms do harm in the conduct of their business, and we investigate the extent to which host countries’ speech and press freedoms influence corporate social irresponsibility (CSIR) for a sample of Multilatinas, observed during the period 2003–2012. We do find evidence of lower CSIR among Multilati...
Published on Apr 1, 2017in Regional Science and Urban Economics 2.09
Davide Fiaschi10
Estimated H-index: 10
(UniPi: University of Pisa),
Lisa Gianmoena2
Estimated H-index: 2
(Marche Polytechnic University),
Angela Parenti4
Estimated H-index: 4
This paper studies the spatial agglomeration dynamics of a sample of 224 European regions in the period 1991–2012 by a dynamic extension of the Moran scatterplot, consisting in a nonparametric estimate of the joint dynamics of GDP per worker and its spatial lag. We find evidence that the twin-peaked distribution of GDP per worker in 2012 is the result of the existence of three spatial clubs: the first mainly populated by regions belonging to the former Eastern Bloc countries, the second by regio...
Published in arXiv: Economics
Davide Fiaschi10
Estimated H-index: 10
,
Imre Kondor18
Estimated H-index: 18
+ -3 AuthorsValerio Volpati1
Estimated H-index: 1
In a recent paper, using data from Forbes Global 2000, we have observed that the upper tail of the firm size distribution (by assets) falls off much faster than a Pareto distribution. The missing mass was suggested as an indicator of the size of the Shadow Banking (SB) sector. This short note provides the latest figures of the missing assets for 2013, 2014 and 2015. In 2013 and 2014 the dynamics of the missing assets continued being strongly correlated with estimates of the size of the SB sector...
Published on Jan 1, 2016
Irene Brunetti2
Estimated H-index: 2
(UniPi: University of Pisa),
Davide Fiaschi10
Estimated H-index: 10
(UniPi: University of Pisa)
+ 1 AuthorsAngela Parenti4
Estimated H-index: 4
is paper examines the growth rate volatility of per capita GDP of European regions in 1992-2008. We measure the regional volatility using a new methodology based onMarkov matrices and we investigate its main determinants. Volatility displays a geographical pattern and a significant spatial dependence. Output composition appears one of the main driver of volatility; among the other determinants we find a negative impact of the size of regional economies and of the flexibility of labour market, an...
Published on Jan 1, 2016
Davide Fiaschi10
Estimated H-index: 10
,
Elisa Giuliani22
Estimated H-index: 22
,
Nicola Salvati
In this paper, we develop a family of indexes to measure the social irresponsibility of firms. We define corporate social irresponsibility (CSIR) on the basis of firms' alleged involvement in human rights abuses. After a critical appraisal of the existing CSIR raw data and measures/indexes, we take a M-quantile regression approach to develop a family of CSIR indexes that overcome the limitations of existing measures. We apply our methodology to a sample of 380 large publicly-listed firms, observ...
Published on Jan 1, 2016
Elisa Giuliani22
Estimated H-index: 22
,
Davide Fiaschi10
Estimated H-index: 10
,
Federica Nieri2
Estimated H-index: 2
Emerging country firms are often considered to suffer from lack of legitimacy due to poor reputation and institutional weaknesses in their home countries. Adoption of Corporate Social Responsibilit...
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