3 resultados para Economic Value

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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Il paesaggio, e così anche il paesaggio agrario, può essere considerato come segno del rapporto uomo/natura, come costrutto storico che testimonia il succedersi delle diverse civilizzazioni che l'hanno generato, ma anche come spazio per l'immaginazione territoriale, come progetto per il futuro del territorio. In questo lavoro si trattano le relazioni tra questa visione del paesaggio e le forme di produzione e consumo dei prodotti agricoli, nell'ambito delle trasformazioni che l'ambito rurale sta subendo a partire dagli ultimi decenni, tra pressione dell'urbano, da un lato, e abbandono e crisi dell'agricoltura, dall'altro. Particolare attenzione è riservata a quelle esperienze che, attraverso la produzione biologica e lo scambio locale, esprimono un nuovo progetto di territorio, che prende avvio dal contesto rurale ma che pervade anche le città, proponendo anche nuove relazioni tra città e campagna. Nelle reti della filiera corta e dell'economia solidale che si concretizzano soprattutto come esperienze “dal basso”, di autogestione e partecipazione, si diffondono insieme prodotti e valori. In quest'ottica la sostenibilità ambientale non appare più come una fonte di limitazioni e esternalità negative, per dirla con il linguaggio dell'economia, ma diventa un valore aggiunto di appartenenza collettiva (equilibri ecologici, paesaggio) e un'occasione per nuove relazioni sociali e territoriali.

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As a large and long-lived species with high economic value, restricted spawning areas and short spawning periods, the Atlantic bluefin tuna (BFT; Thunnus thynnus) is particularly susceptible to over-exploitation. Although BFT have been targeted by fisheries in the Mediterranean Sea for thousands of years, it has only been in these last decades that the exploitation rate has reached far beyond sustainable levels. An understanding of the population structure, spatial dynamics, exploitation rates and the environmental variables that affect BFT is crucial for the conservation of the species. The aims of this PhD project were 1) to assess the accuracy of larval identification methods, 2) determine the genetic structure of modern BFT populations, 3) assess the self-recruitment rate in the Gulf of Mexico and Mediterranean spawning areas, 4) estimate the immigration rate of BFT to feeding aggregations from the various spawning areas, and 5) develop tools capable of investigating the temporal stability of population structuring in the Mediterranean Sea. Several weaknesses in modern morphology-based taxonomy including demographic decline of expert taxonomists, flawed identification keys, reluctance of the taxonomic community to embrace advances in digital communications and a general scarcity of modern user-friendly materials are reviewed. Barcoding of scombrid larvae revealed important differences in the accuracy of the taxonomic identifications carried out by different ichthyoplanktologists following morphology-based methods. Using a Genotyping-by-Sequencing a panel of 95 SNPs was developed and used to characterize the population structuring of BFT and composition of adult feeding aggregations. Using novel molecular techniques, DNA was extracted from bluefin tuna vertebrae excavated from late iron age, ancient roman settlements Byzantine-era Constantinople and a 20th century collection. A second panel of 96 SNPs was developed to genotype historical and modern samples in order to elucidate changes in population structuring and allele frequencies of loci associated with selective traits.

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The advances that have been characterizing spatial econometrics in recent years are mostly theoretical and have not found an extensive empirical application yet. In this work we aim at supplying a review of the main tools of spatial econometrics and to show an empirical application for one of the most recently introduced estimators. Despite the numerous alternatives that the econometric theory provides for the treatment of spatial (and spatiotemporal) data, empirical analyses are still limited by the lack of availability of the correspondent routines in statistical and econometric software. Spatiotemporal modeling represents one of the most recent developments in spatial econometric theory and the finite sample properties of the estimators that have been proposed are currently being tested in the literature. We provide a comparison between some estimators (a quasi-maximum likelihood, QML, estimator and some GMM-type estimators) for a fixed effects dynamic panel data model under certain conditions, by means of a Monte Carlo simulation analysis. We focus on different settings, which are characterized either by fully stable or quasi-unit root series. We also investigate the extent of the bias that is caused by a non-spatial estimation of a model when the data are characterized by different degrees of spatial dependence. Finally, we provide an empirical application of a QML estimator for a time-space dynamic model which includes a temporal, a spatial and a spatiotemporal lag of the dependent variable. This is done by choosing a relevant and prolific field of analysis, in which spatial econometrics has only found limited space so far, in order to explore the value-added of considering the spatial dimension of the data. In particular, we study the determinants of cropland value in Midwestern U.S.A. in the years 1971-2009, by taking the present value model (PVM) as the theoretical framework of analysis.