Home About us Contact
|
Home About us Contact | ||
|
|
||
Italian Regions (italian + regions)
Kinds of Italian Regions Selected AbstractsTheConvergence of the Italian Regions and Unemployment: Theory and EvidenceJOURNAL OF REGIONAL SCIENCE, Issue 3 2002Gaetano Carmeci We explore the links between the halt of the convergence process of Italian regions at the beginning of the 1970s and the increase in regional unemployment dispersion. We consider a neoclassical exogenous growth model with an imperfect labor market and show that during the transitional dynamics the imperfections of the labor market negatively influence the output growth rate. In particular, the model implies that centralized bargaining is likely to set a national minimum wage that is too high with respect to the labor productivity of the less developed regions, resulting in a negative impact on their per capita output growth. We test the implications of the model on a regional panel data set using the GMM framework. Both our market distortion measure and the unemployment rate are found to significantly lower the growth rate of per capita output. [source] Related Variety, Trade Linkages, and Regional Growth in ItalyECONOMIC GEOGRAPHY, Issue 3 2009Ron Boschma abstract This article presents estimates of the impact of regional variety and trade linkages on regional economic growth by means of export and import data by Italian province (NUTS 3) and sector (three-digit) for the period 1995,2003. Our results show strong evidence that related variety contributes to regional economic growth. Thus, Italian regions that are well endowed with sectors that are complementary in terms of competences (i.e., that show related variety) perform better. The article also assesses the effects of the breadth and relatedness of international trade linkages on regional growth, since they may bring new and related variety to a region. Our analysis demonstrates that regional growth is not affected by simply being well connected to the outside world or having a high variety of knowledge flowing into the region. Rather, we found evidence of related extraregional knowledge sparking intersectoral learning across regions. When the cognitive proximity between the extraregional knowledge and the knowledge base of a region is neither too small nor too large, real learning opportunities are present, and the external knowledge contributes to growth in regional employment. [source] Investigating Burkholderia cepacia complex populations recovered from Italian maize rhizosphere by multilocus sequence typingENVIRONMENTAL MICROBIOLOGY, Issue 7 2007Claudia Dalmastri Summary The Burkholderia cepacia complex (BCC) comprises at least nine closely related species of abundant environmental microorganisms. Some of these species are highly spread in the rhizosphere of several crop plants, particularly of maize; additionally, as opportunistic pathogens, strains of the BCC are capable of colonizing humans. We have developed and validated a multilocus sequence typing (MLST) scheme for the BCC. Although widely applied to understand the epidemiology of bacterial pathogens, MLST has seen limited application to the population analysis of species residing in the natural environment; we describe its novel application to BCC populations within maize rhizospheres. 115 BCC isolates were recovered from the roots of different maize cultivars from three different Italian regions over a 9-year period (1994,2002). A total of 44 sequence types (STs) were found of which 41 were novel when compared with existing MLST data which encompassed a global database of 1000 clinical and environmental strains representing nearly 400 STs. In this study of rhizosphere isolates approximately 2.5 isolates per ST was found, comparable to that found for the whole BCC population. Multilocus sequence typing also resolved inaccuracies associated with previous identification of the maize isolates based on recA gene restriction fragment length polymorphims and species-specific polymerase chain reaction. The 115 maize isolates comprised the following BCC species groups, B. ambifaria (39%), BCC6 (29%), BCC5 (10%), B. pyrrocinia (8%), B. cenocepacia IIIB (7%) and B. cepacia (6%), with BCC5 and BCC6 potentially constituting novel species groups within the complex. Closely related clonal complexes of strains were identified within B. cepacia, B. cenocepacia IIIB, BCC5 and BCC6, with one of the BCC5 clonal complexes being distributed across all three sampling sites. Overall, our analysis demonstrates that the maize rhizosphere harbours a massive diversity of novel BCC STs, so that their addition to our global MLST database increased the ST diversity by 10%. [source] Which type of tourism matters to the regional economic growth?INTERNATIONAL JOURNAL OF TOURISM RESEARCH, Issue 2 2008Italy, The cases of Spain Abstract Recently, the attention given to the importance of tourism in economic growth has significantly increased. However, research in this area mainly refers to international tourism and to the national level. This paper focuses on the influence of tourism on the economic growth of Spanish and Italian regions. Both international and domestic tourism are analysed and geographical location criteria are considered. Dynamic panel data techniques are applied. The results reveal that both international and domestic tourism have a significant and positive role for regional economic growth in Spain and Italy, although the pattern of these effects differs among different types of region. Copyright © 2008 John Wiley & Sons, Ltd. [source] Regional Inequalities in Consumption Patterns: A Multilevel Approach to the Case of ItalyINTERNATIONAL STATISTICAL REVIEW, Issue 1 2007Filippa Bono Summary The main aim of this paper is to evaluate the disparities in the Italian regions on the demand side. In more detail, an attempt will be made to find if the consumption behaviour of Italian households is different in the regions. With this in mind, Istat's 2000 Italian Family Budget data set was analysed. The data in question, which were collected through a two-stage sample over Italy's 20 regions, contains information regarding the expenses of approximately 23,000 households. In this analysis, both households and regions are considered as units: households are nested in the regions so that the basic data structure is hierarchical. In order to take this hierarchical structure into account, a multilevel model was used, making it possible for parameters to vary randomly from region to region. The model in question also made it possible to consider heterogeneity across different groups (regions), such as stochastic variation. First, regional inequalities were tested using a simple model in which households constituted the first level of analysis and were grouped according to their region (the second level). As a second step, and in order to investigate the interaction between geographical context and income distribution, another model was used. This was cross-classified by income and regions. The most relevant results showed that there is wide fragmentation of consumption behaviour and, at the same time, various differentiated types of behaviour in the regions under analysis. These territorial differentials become clear from income class and items of consumption. Resumé L'objet du travail est l'analyse des différences, entre les régions italiennes, des comportements des consommateurs. Le traitement statistique des données individuelles est originale car il est conduit par un modèle ,multilevel'. Le modèle multilevel tient compte de la structure hiérarchique de données et permet au paramètres estimée de varier par hasard. En outre, ce modèle permet que l'hétérogénéité entre le différent groupes de familles (les unités statistiques) peut varier par hasard entre le régions. Pour l'analyse des différences régionales modèle ,multilevel nous avons estimée un premier modèle avec les familles au premier dégrée hiérarchique et les régions au second dégrée. Car le facteur géographique interagit avec la distribution du revenue dans chaque région nous avons estimée un autre modèle cross-classifiée par lequel le familles sont groupées par le revenue. [source] Vegetable and animal food sorts found in the gastric content of Sardinian Wild Boar (Sus scrofa meridionalis)JOURNAL OF ANIMAL PHYSIOLOGY AND NUTRITION, Issue 5-6 2007W. Pinna Summary Authors report results emerging from gastric content analysis from n. 96 wild boars hunted in Sardinia isle, during the hunting tide (2001,2005), from November to January. Mean pH of the gastric content was 3.77 ± 0.69. Mean total capacity (TC) of each stomach was 1702 ± 680 g. Mean Stuff ratio (CW/TC) between the content weight (CW) and stomachs TC was 0.45. Food categories found in animal stomachs were: 19 categories of vegetal species (Allium spp., Arbutus unedo, Arisarum vulgare, Avena fatua, Avena sativa, Castanea sativa, Ceratonia siliqua, Chamaerops umilis, Cichorium intybus, Hordeum sativum, Juniperus oxycedrus, Myrtus communis, Olea europea, Pirus amygdaliformis, Pistacia lentiscus, Quercus spp., Rhamnus alaternus, Triticum durum, Zea mais); 11 categories of animal species (Agriotes lineatus, Apodemus sylvaticus dicrurus, Chalcides chalcides, Chalcides ocellatus tiligugu, Crematogaster scutellaris, Forficula auricularia, Helix aspersa, Lumbricus terrestris, Ovis aries, Podarcis tiliguerta tiliguerta, Scolopendra cingulata); three categories were identified in general terms (insects larvae, hairs of mammals, feathers of birds). Food categories found in the stomach contents of Sus scrofa meridionalis confirm observations by other researchers who report the prevalence of vegetables in spite of animal food sorts in the wild boar diet in Italian regions. [source] From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?JOURNAL OF APPLIED ECONOMETRICS, Issue 3 2008Andrea Ichino The diffusion of temporary work agency (TWA) jobs has led to a harsh policy debate and ambiguous empirical evidence. Results for the USA, based on quasi-experimental evidence, suggest that a TWA assignment decreases the probability of finding a stable job, while results for Europe, based on the conditional independence assumption (CIA), typically reach opposite conclusions. Using data for two Italian regions, we rely on a matching estimator to show that TWA assignments can be an effective springboard to permanent employment. We also propose a simulation-based sensitivity analysis, which highlights that only for one of these two regions are our results robust to specific failures of the CIA. We conclude that European studies based on the CIA should not be automatically discarded, but should be put under the scrutiny of a sensitivity analysis like the one we propose. Copyright © 2008 John Wiley & Sons, Ltd. [source] Evidence for Increased Clinical Severity of Familial and Sporadic Paget's Disease of Bone in Campania, Southern Italy,JOURNAL OF BONE AND MINERAL RESEARCH, Issue 12 2006Domenico Rendina Abstract The analysis of 236 Italian patients with Paget's bone disease showed higher clinical severity and greater frequency of neoplastic degeneration among patients who live or descend from individuals living in the Campania region (southern Italy). A prevalent involvement of the spine and the skull, the sites preferentially involved in giant cell tumors complicating Paget's disease, was also shown in familial cases from this geographical region. Introduction: The Campania region in southern Italy has been recently indicated as a high prevalence area for Paget's disease of bone (PDB), and most pagetic families with multiple occurrence of neoplasms in affected members were from this geographical region. Materials and Methods: We evaluated the PDB epidemiological characteristics in 125 patients from Campania in comparison with 111 patients from other Italian regions. Twenty-three patients from Campania and 26 patients from other Italian areas had at least one first-degree relative affected by PDB (familial cases). The remaining patients made up the sporadic cases. Results: Among subjects from Campania, the patients in the familial group tended to come from larger families and showed at diagnosis higher serum total alkaline phosphatase, larger extension of disease, and earlier mean age with respect to patients with PDB of the sporadic group. The skull, spine, and humerus were the sites preferentially involved in the familial cases. In contrast, no such differences were observed between familial and sporadic PDB cases among patients from the other geographical areas, except for a lower age at diagnosis. An increased PDB clinical severity was finally observed in the PDB cohort from Campania in comparison with patients from other Italian regions. Neoplastic degeneration of pagetic bones (osteosarcoma and giant cell tumor) was exclusively observed in patients with polyostotic PDB from Campania. Conclusions: We showed a higher clinical severity of PDB with occurrence of neoplastic degeneration in the high prevalence area of Campania, with its maximum expression in cases with familial disease. This peculiar pattern might be traced to genetic predisposition and/or to the abnormal impact of a still undefined environmental trigger. [source] PRELIMINARY EVALUATION OF THE APPLICATION OF THE FTIR SPECTROSCOPY TO CONTROL THE GEOGRAPHIC ORIGIN AND QUALITY OF VIRGIN OLIVE OILSJOURNAL OF FOOD QUALITY, Issue 4 2007ALESSANDRA BENDINI ABSTRACT A rapid Fourier transform infrared (FTIR) attenuated total reflectance spectroscopic method was applied to determine qualitative parameters such as free fatty acid (FFA) content and the peroxide value (POV) in virgin olive oils. Calibration models were constructed using partial least squares regression on a large number of virgin olive oil samples. The best results (R2 = 0.955, root mean square error in cross validation [RMSECV] = 0.15) to evaluate FFA content expressed in oleic acid % (w/w) were obtained considering a calibration range from 0.2 to 9.2% of FFA relative to 190 samples. For POV determination, the result obtained, built on 80 olive oil samples with a calibration range from 11.1 to 49.7 meq O2/kg of oil, was not satisfactory (R2 = 0.855, RMSECV = 3.96). We also investigated the capability of FTIR spectroscopy, in combination with multivariate analysis, to distinguish virgin olive oils based on geographic origin. The spectra of 84 monovarietal virgin olive oil samples from eight Italian regions were collected and elaborated by principal component analysis (PCA), considering the fingerprint region. The results were satisfactory and could successfully discriminate the majority of samples coming from the Emilia Romagna, Sardinian and Sicilian regions. Moreover, the explained variance from this PCA was higher than 96%. PRACTICAL APPLICATIONS The verification of the declared origin or the determination of the origin of an unidentified virgin olive oil is a challenging problem. In this work, we have studied the applicability of Fourier transform infrared coupled with multivariate statistical analysis to discriminate the geographic origin of virgin olive oil samples from different Italian regions. [source] TheConvergence of the Italian Regions and Unemployment: Theory and EvidenceJOURNAL OF REGIONAL SCIENCE, Issue 3 2002Gaetano Carmeci We explore the links between the halt of the convergence process of Italian regions at the beginning of the 1970s and the increase in regional unemployment dispersion. We consider a neoclassical exogenous growth model with an imperfect labor market and show that during the transitional dynamics the imperfections of the labor market negatively influence the output growth rate. In particular, the model implies that centralized bargaining is likely to set a national minimum wage that is too high with respect to the labor productivity of the less developed regions, resulting in a negative impact on their per capita output growth. We test the implications of the model on a regional panel data set using the GMM framework. Both our market distortion measure and the unemployment rate are found to significantly lower the growth rate of per capita output. [source] Distribution conventionality in the movie sector: an econometric analysis of cinema supplyMANAGERIAL AND DECISION ECONOMICS, Issue 8 2009Alan Collins This paper empirically analyzes the impact of several factors on a ,conventionality index (CI)' in the specific context of the cinema exhibition sector. To our knowledge, it is the first time that a standard CI has been constructed for this purpose. Econometric analysis of the determinants of variation in this index provides decision-makers with an empirical focus for analyzing distributional aspects of the movie exhibition market, with particular emphasis on product differentiation. Specifically, (i) do cinemas based in a city area have a different or ,specialized' focus in contrast to cinemas in small towns? or (ii) do multiplexes have a different or more specialized focus in comparison with cinemas? To this end, cross-sectional econometric models are estimated to help analyze these effects in three Italian regions for a sample of cinemas covering the 2006 season. Copyright © 2009 John Wiley & Sons, Ltd. [source] Multielement (H, C, N, O, S) stable isotope characteristics of lamb meat from different Italian regions,RAPID COMMUNICATIONS IN MASS SPECTROMETRY, Issue 16 2009Matteo Perini The study focuses on the 2H/H, 13C/12C, 15N/14N, 18O/16O and 34S/32S values of defatted dry matter (DFDM) and on the 2H/H, 13C/12C and 18O/16O values of the fat fraction of meat samples from various lamb types reared in seven Italian regions, following different feeding regimes (forage, concentrate, milk). The 13C/12C (r,=,0.922), 2H/H (r,=,0.577) and 18O/16O (r,=,0.449) values of fat and DFDM are significantly correlated, the fat values being significantly lower for C and H and higher for O than for DFDM values and the differences between the two fractions not being constant for different lamb types. The feeding regime significantly affected the 13C/12C, 15N/14N, 18O/16O and 2H/H of fat. The DFDM 2H/H, and 18O/16O values, excluding an outlier, are significantly correlated with the corresponding values in meteoric waters, thus allowing us to trace the variability of geoclimatic factors. 15N/14N is influenced by pedoclimatic conditions, whereas 34S/32S is influenced by the sea spray effect and the surface geology of the provenance area. By applying stepwise linear discriminant analysis only the 2H/H of fat was found not to be significant and 97.7% of the samples were correctly assigned to the lamb type and more than 90% cross-validated. With the feeding regime, 97.7% of the samples were both correctly assigned and cross-validated using a predictive model including 13C/12C, 15N/14N, 18O/16O, 34S/32S of DFDM and 18O/16O of fat. Copyright © 2009 John Wiley & Sons, Ltd. [source] Climatic factors influencing the isotope composition of Italian olive oils and geographic characterisationRAPID COMMUNICATIONS IN MASS SPECTROMETRY, Issue 3 2009Paola Iacumin The purpose of this study was to investigate the possibility of identifying oil source areas by means of simple measurements on the natural samples avoiding time-consuming sample treatments. The oxygen and carbon isotopic values of 150 samples of extra-virgin olive oil from eight different Italian regions and from three different years of production were measured according to well-established techniques. Statistical treatments of the results obtained show a very good correlation of the ,18O of oil with latitude, mean annual temperature, and mean relative humidity at the collection site. No correlation is found with elevation and mean annual precipitation. The shift of the oil ,18O per degree centigrade of the mean annual temperature is quantitatively close to that calculated for atmospheric precipitation in continental areas. Accordingly, in our measurements, the year of oil production can be identified on the basis of the ,18O value (mean 2004 temperatures were higher than 2005 temperatures). On the contrary, the oil ,13C values show no correlation with the above variables but only with latitude and, consequently, are less suitable for discriminating the geographic origin of oil. However, the ,13C values are suitable to indicate biological differentiation while the ,18O values are not. Copyright © 2009 John Wiley & Sons, Ltd. [source] Concentrations of dioxins and other organochlorines (PCBs, DDTs, HCHs) in human milk from Seveso, Milan and a Lombardian rural area in Italy: a study performed 25 years after the heavy dioxin exposure in SevesoACTA PAEDIATRICA, Issue 4 2003J Weiss Aim: To investigate whether those who were exposed to high levels of the dioxin TCDD 25 years ago in Seveso, northern Italy still have higher than the expected levels of dioxins in their fat stores, and to investigate the concentrations of dioxins in the breast milk of mothers in Seveso and in two other regions in Italy. The load of vertically transmitted dioxins to the next generation, if being breastfed, was also investigated. Methods: As there may be a synergistic effect of mixtures of organic chlorines, the concentrations of pesticides such as DDTs and PCBs have also been studied in the same human milk samples. Breast milk from 12 mothers from Seveso, Central Milan and a Lombardian village was collected for analysis during the first week and 1 and 3 mo after delivery. Individual samples were used for the analysis of pesticides and PCBs, whereas dioxins were analysed in pooled samples from all 12 mothers on each occasion. Results: In human milk from Seveso, the TCDD concentration in fat calculated on a fresh weight basis was more than twice as high as the level in the other two regions, whereas the concentrations of investigated other toxins were lower in Seveso possible due to induction of the enzyme cytochrome P4501A, which means that the total level of dioxins was the same in all three locations. The congener profile, measured as mean toxic equivalency (TEQ) values, was the same in the Italian samples as previously reported from Stockholm. The calculations are based on the most recent WHO TCDD equivalency factors (TEF). The DDE concentration was higher in the samples from Milan than in the samples from the other two Italian regions, which may be due to the fact that, to a greater extent than in the other regions, Milanese food is imported from countries where DDT is still used as a pesticide. Conclusion: Twenty-five years after the dioxin catastrophe, human milk from mothers in Seveso has concentrations of the highly toxic dioxin congener TCDD that are more than twice as high as those in central Milan and a Lombardian village. This means that breastfed infants in Seveso still store an appreciable amount of TCDD in their body fat. The health consequences of this fact remain to be elucidated. The effect of the high load of DDTs in central Milan also has to be considered [source] | ||||||||||||||||||||||