This work contributes to the field of spatial economics by embracing three distinct modelling approaches, belonging to different strands of the theoretical literature. In the first chapter I present a theoretical model in which the changes in urban system’s degree of functional specialisation are linked to (i) firms’ organisational choices and firms’ location decisions. The interplay between firms’ internal communication/managing costs (between headquarters and production plants) and the cost of communicating with distant business services providers leads the transition process from an “integrated” urban system where each city hosts every different functions to a “functionally specialised” urban system where each city is either a primary business center (hosting advanced business services providers, a secondary business center or a pure manufacturing city and all this city-types coexist in equilibrium.The second chapter investigates the impact of free trade on welfare in a two-country world modelled as an international Hotelling duopoly with quadratic transport costs and asymmetric countries, where a negative environmental externality is associated with the consumption of the good produced in the smaller country. Countries’ relative sizes as well as the intensity of negative environmental externality affect potential welfare gains of trade liberalisation. The third chapter focuses on the paradox, by which, contrary to theoretical predictions, empirical evidence shows that a decrease in international transport costs causes an increase in foreign direct investments (FDIs). Here we propose an explanation to this apparent puzzle by exploiting an approach which delivers a continuum of Bertrand- Nash equilibria ranging above marginal cost pricing. In our setting, two Bertrand firms, supplying a homogeneous good with a convex cost function, enter the market of a foreign country. We show that allowing for a softer price competition may indeed more than offset the standard effect generated by a decrease in trade costs, thereby restoring FDI incentives.

This doctoral thesis aims at contributing to the literature on transition economies focusing on the Russian Federations and in particular on regional income convergence and fertility patterns. The first two chapter deal with the issue of income convergence across regions. Chapter 1 provides an historical-institutional analysis of the period between the late years of the Soviet Union and the last decade of economic growth and a presentation of the sample with a description of gross regional product composition, agrarian or industrial vocation, labor. Chapter 2 contributes to the literature on exploratory spatial data analysis with a application to a panel of 77 regions in the period 1994-2008. It provides an analysis of spatial patterns and it extends the theoretical framework of growth regressions controlling for spatial correlation and heterogeneity. Chapter 3 analyses the national demographic patterns since 1960 and provides a review of the policies on maternity leave and family benefits. Data sources are the Statistical Yearbooks of USSR, the Statistical Yearbooks of the Russian Soviet Federative Socialist Republic and the Demographic Yearbooks of Russia. Chapter 4 analyses the demographic patterns in light of the theoretical framework of the Becker model, the Second Demographic Transition and an economic-crisis argument. With national data from 1960, the theoretically issue of the pro or countercyclical relation between income and fertility is graphically analyzed and discussed, together with female employment and education. With regional data after 1994 different panel data models are tested. Individual level data from the Russian Longitudinal Monitoring Survey are employed using the logit model. Chapter 5 employs data from the Generations and Gender Survey by UNECE to focus on postponement and second births intentions. Postponement is studied through cohort analysis of mean maternal age at first birth, while the methodology used for second birth intentions is the ordered logit model.

The thesis contemplates 4 papers and its main goal is to provide evidence on the prominent impact that behavioral analysis can play into the personnel economics domain.The research tool prevalently used in the thesis is the experimental analysis.The first paper provide laboratory evidence on how the standard screening model–based on the assumption that the pecuniary dimension represents the main workers’choice variable–fails when intrinsic motivation is introduced into the analysis.The second paper explores workers’ behavioral reactions when dealing with supervisors that may incur in errors in the assessment of their job performance.In particular,deserving agents that have exerted high effort may not be rewarded(Type-I errors)and undeserving agents that have exerted low effort may be rewarded(Type-II errors).Although a standard neoclassical model predicts both errors to be equally detrimental for effort provision,this prediction fails when tested through a laboratory experiment.Findings from this study suggest how failing to reward deserving agents is significantly more detrimental than rewarding undeserving agents.The third paper investigates the performance of two antithetic non-monetary incentive schemes on schooling achievement.The study is conducted through a field experiment.Students randomized to the main treatments have been incentivized to cooperate or to compete in order to earn additional exam points.Consistently with the theoretical model proposed in the paper,the level of effort in the competitive scheme proved to be higher than in the cooperative setting.Interestingly however,this result is characterized by a strong gender effect.The fourth paper exploits a natural experiment setting generated by the credit crunch occurred in the UK in the2007.The economic turmoil has negatively influenced the private sector,while public sector employees have not been directly hit by the crisis.This shock–through the rise of the unemployment rate and the increasing labor market uncertainty–has generated an exogenous variation in the opportunity cost of maternity leave in private sector labor force.This paper identifies the different responses.

This thesis is a collection of essays about the instrumental use of commitment decisions to facilitate the completion of the European internal electricity market. European policy can shape markets in many ways, two most evident being regulation and competition enforcement. The interplay between these two instruments attracts a lot of scholarly attention. One of the major concerns in the competition vs. regulation debate is the instrumental use of competition rules. It has been observed that competition enforcement is triggered not only as a response to an anticompetitive harm occurring in the market, but that it sometimes becomes a powerful tool in the European Commission’s hands to pursue regulatory goals. This thesis looks for examples of such instrumentalisation in the context of electricity markets and finds that the Commission is very pragmatic in using all the possible instruments it has at hand to push forward its project of creating the internal electricity market. This includes regulation, competition enforcement and all sorts of political pressure. To the extent that commitment decisions accelerate sector-specific regulation and overcome political deadlocks, they contribute to the Commission’s energy policy goals. However, instrumentalisation of competition rules comes at a certain cost to competition policy, energy policy and, most importantly, to electricity markets themselves. Markets might be negatively affected either indirectly, by application of sector-specific regulation or competition policy building on previous commitment decisions, or directly, through the implementation of inadequate commitments in individual cases. Concluding, commitment decisions generally contributed to achieving the policy objectives of the internal electricity market, but their use for that purpose does not come without cost. Given that this cost is ultimately borne by the internal electricity market, the Commission should take a more balanced approach to the instrumental use of commitment decisions so that it does not do more harm than good.

The importance of the banks and financial markets relies on the fact that they promote economic efficiency by allocating savings efficiently to profitable investment opportunities.An efficient banking system is a key determinant for the financial stability.The theory of market failure forms the basis for understanding financial regulation.Following the detrimental economic and financial consequences in theaftermath of the crisis, academics and policymakers started to focus their attention on the construction of an appropriate regulatory and supervisory framework of the banking sector. This dissertation aims at understanding the impact of regulations and supervision on banks’ performance focusing on two emerging market economies, Turkey and Russia. It aims at examining the way in which regulations matter for financial stability and banking performance from a law & economics perspective. A review of the theory of banking regulation, particularly as applied to emerging economies, shows that the efficiency of certain solutions regarding banking regulation is open to debate. Therefore, in the context of emerging countries, whether a certain approach is efficient or not will be presented as an empirical question to which this dissertation will try to find an answer.

La Tesi analizza le relazioni tra i processi di sviluppo agricolo e l’uso delle risorse naturali, in particolare di quelle energetiche, a livello internazionale (paesi in via di sviluppo e sviluppati), nazionale (Italia), regionale (Emilia Romagna) e aziendale, con lo scopo di valutare l’eco-efficienza dei processi di sviluppo agricolo, la sua evoluzione nel tempo e le principali dinamiche in relazione anche ai problemi di dipendenza dalle risorse fossili, della sicurezza alimentare, della sostituzione tra superfici agricole dedicate all’alimentazione umana ed animale. Per i due casi studio a livello macroeconomico è stata adottata la metodologia denominata “SUMMA” SUstainability Multi-method, multi-scale Assessment (Ulgiati et al., 2006), che integra una serie di categorie d’impatto dell’analisi del ciclo di vita, LCA, valutazioni costi-benefici e la prospettiva di analisi globale della contabilità emergetica. L’analisi su larga scala è stata ulteriormente arricchita da un caso studio sulla scala locale, di una fattoria produttrice di latte e di energia elettrica rinnovabile (fotovoltaico e biogas). Lo studio condotto mediante LCA e valutazione contingente ha valutato gli effetti ambientali, economici e sociali di scenari di riduzione della dipendenza dalle fonti fossili. I casi studio a livello macroeconomico dimostrano che, nonostante le politiche di supporto all’aumento di efficienza e a forme di produzione “verdi”, l’agricoltura a livello globale continua ad evolvere con un aumento della sua dipendenza dalle fonti energetiche fossili. I primi effetti delle politiche agricole comunitarie verso una maggiore sostenibilità sembrano tuttavia intravedersi per i Paesi Europei. Nel complesso la energy footprint si mantiene alta poiché la meccanizzazione continua dei processi agricoli deve necessariamente attingere da fonti energetiche sostitutive al lavoro umano. Le terre agricole diminuiscono nei paesi europei analizzati e in Italia aumentando i rischi d’insicurezza alimentare giacché la popolazione nazionale sta invece aumentando. / The thesis analyses the relationships between agricultural development processes and the use of natural resources, in particular energetic resources, at international (developing and developed countries), national (Italy), regional (Emilia Romagna) and farm scales with the aim of evaluating the Eco-efficiency of agricultural development processes, their evolution over time and the main dynamics also in relation to the problems of fossil fuel dependency, food security, substitution processes between agricultural lands devoted to human and animal food production. For the different case studies at macroeconomic level the methodology “SUMMA”, Sustainability Multi-method Multi-scale Assessment (Ulgiati et al., 2006) has been adopted. The SUMMA methodology integrates a selection of LCA impact categories, cost-benefit evaluation methods and the global footprint view provided by the Emergy Synthesis. The large scale analysis has been enriched by a case study at the local scale of a dairy farm which produces milk and energy services from renewable sources (solar photovoltaic and biogas). The study carried out with the Life Cycle Assessment Methodology, LCA and Contingent Evaluation assessed the environmental, economic and social effects of the reduction of fossil fuel dependency scenarios. The two case studies at macroeconomic level showed that agriculture at global level is highly dependent from fossil fuel sources even if the presence of policies promoting the increase of efficiency in the use of resources and greening production models. The first modest effects of agricultural European policies seems however visible for European countries. In general the energy footprint is high as the continuous mechanization of agricultural processes replaces energy with human labor. The agricultural lands of European countries (including Italy) reduced in the period investigated increasing the risks of food insecurity for the growing residential population.

A model is developed to represent the activity of a farm using the method of linear programming. Two are the main components of the model, the balance of soil fertility and the livestock nutrition. According to the first, the farm is supposed to have a total requirement of nitrogen, which is to be accomplished either through internal sources (manure) or through external sources (fertilisers). The second component describes the animal husbandry as having a nutritional requirement which must be satisfied through the internal production of arable crops or the acquisition of feed from the market. The farmer is supposed to maximise total net income from the agricultural and the zoo-technical activities by choosing one rotation among those available for climate and acclivity. The perspective of the analysis is one of a short period: the structure of the farm is supposed to be fixed without possibility to change the allocation of permanent crops and the amount of animal husbandry. The model is integrated with an environmental module that describes the role of the farm within the carbon-nitrogen cycle. On the one hand the farm allows storing carbon through the photosynthesis of the plants and the accumulation of carbon in the soil; on the other some activities of the farm emit greenhouse gases into the atmosphere. The model is tested for some representative farms of the Emilia-Romagna region, showing to be capable to give different results for conventional and organic farming and providing first results concerning the different atmospheric impact. Relevant data about the representative farms and the feasible rotations are extracted from the FADN database, with an integration of the coefficients from the literature.

Obiettivo del lavoro è migliorare la lettura della ruralità europea. A fronte delle profonde trasformazioni avvenute, oggi non è più possibile analizzare i territori rurali adottando un mero approccio dicotomico che semplicemente li distingua dalle città. Al contrario, il lavoro integra l’analisi degli aspetti socio-economici con quella degli elementi territoriali, esaltando le principali dimensioni che caratterizzano le tante tipologie di ruralità oggi presenti in Europa. Muovendo dal dibattito sulla classificazione delle aree rurali, si propone dapprima un indicatore sintetico di ruralità che, adottando la logica fuzzy, considera congiuntamente aspetti demografici (densità), settoriali (rilevanza dell’attività agricola), territoriali e geografici (accessibilità e uso del suolo). Tale tecnica permette di ricostruire un continuum di gradi di ruralità, distinguendo così, all’interno dell’Unione Europea (circa 1.300 osservazioni), le aree più centrali da quelle progressivamente più rurali e periferiche. Successivamente, attraverso un’analisi cluster vengono individuate tipologie di aree omogenee in termini di struttura economica, paesaggio, diversificazione dell’attività agricola. Tali cluster risentono anche della distribuzione geografica delle aree stesse: vengono infatti distinti gruppi di regioni centrali da gruppi di regioni più periferiche. Tale analisi evidenzia soprattutto come il binomio ruralità-arretratezza risulti ormai superato: alcune aree rurali, infatti, hanno tratto vantaggio dalle trasformazioni che hanno interessato l’Unione Europea negli ultimi decenni (diffusione dell’ICT o sviluppo della manifattura). L’ultima parte del lavoro offre strumenti di analisi a supporto dell’azione politica comunitaria, analizzando la diversa capacità delle regioni europee di rispondere alle sfide lanciate dalla Strategia Europa 2020. Un’analisi in componenti principali sintetizza le principali dimensioni di tale performance regionale: i risultati sono poi riletti alla luce delle caratteristiche strutturali dei territori europei. Infine, una più diretta analisi spaziale dei dati permette di evidenziare come la geografia influenzi ancora profondamente la capacità dei territori di rispondere alle nuove sfide del decennio. / This work is aimed at providing a better analysis about EU rural areas. Lately, those regions have widely changed: thus, a dichotomous approach, simply distinguishing rural areas from cities, cannot take into account the increasing complexity affecting EU regions. Actually, the research is based on a multidimensional approach, by including within the analysis both socio-economic and geographical characteristics. Moving from the wide debate on the classification of rural areas, a comprehensive rurality index is computed by applying fuzzy logic to the whole set of EU regions (about 1,300 observations). This continuous index highlights the different extents of rurality, according to demographic aspects (e.g., density), economic features (e.g., relevance of the agricultural sector) and geographical characteristics (e.g., accessibility and remoteness). Then, a cluster analysis is applied. According to the regional economic structure, the diversification of the agricultural activities and the land use characteristics, homogeneous clusters are identified. They are also geographically defined. Actually, some groups of more central rural regions have taken advantage from the major transformations having affected the EU (e.g., the improvement in the ICT, the diffusion of manufacturing activities across rural areas,…). Thus, the link between rurality and underdevelopment can be considered almost outdated. Lastly, some tools for the analysis of the EU political actions are provided. The regional performance in achieving Europe 2020 Strategy targets is analysed. First, this performance at the regional level is summed up by adopting a principal component analysis. Then, the main results are linked with the comprehensive rurality index and the main evidences from the cluster analysis. Moreover, this performance is also analysed according to an exploratory spatial data analysis approach. Actually, geography still affects the way each region faces the new challenges for the next decade.

In Sub-Saharan Africa, non-democratic events, like civil wars and coup d'etat, destroy economic development. This study investigates both domestic and spatial effects on the likelihood of civil wars and coup d'etat. To civil wars, an increase of income growth is one of common research conclusions to stop wars. This study adds a concern on ethnic fractionalization. IV-2SLS is applied to overcome causality problem. The findings document that income growth is significant to reduce number and degree of violence in high ethnic fractionalized countries, otherwise they are trade-off. Income growth reduces amount of wars, but increases its violent level, in the countries with few large ethnic groups. Promoting growth should consider ethnic composition. This study also investigates the clustering and contagion of civil wars using spatial panel data models. Onset, incidence and end of civil conflicts spread across the network of neighboring countries while peace, the end of conflicts, diffuse only with the nearest neighbor. There is an evidence of indirect links from neighboring income growth, without too much inequality, to reduce the likelihood of civil wars. To coup d'etat, this study revisits its diffusion for both all types of coups and only successful ones. The results find an existence of both domestic and spatial determinants in different periods. Domestic income growth plays major role to reduce the likelihood of coup before cold war ends, while spatial effects do negative afterward. Results on probability to succeed coup are similar. After cold war ends, international organisations seriously promote democracy with pressure against coup d'etat, and it seems to be effective. In sum, this study indicates the role of domestic ethnic fractionalization and the spread of neighboring effects to the likelihood of non-democratic events in a country. Policy implementation should concern these factors.

Nell'ambito delle teorie dello sviluppo, un filone di studi, originato dai lavori di North (1973) e consolidatosi negli ultimi anni, individua nelle istituzioni, definite come le regole del gioco o i vincoli disegnati dagli uomini per disciplinare i loro rapporti, i fattori fondamentali dello sviluppo economico. Le istituzioni, nel modello elaborato da Acemoglu, Johnson e Robinson (2004), sono il frutto di interazioni dinamiche tra potere politico de jure, determinato dalle istituzioni politiche, e potere politico de facto, determinato dalla distribuzione delle risorse economiche. Sulla base di questa prospettiva teorica, questa tesi propone uno studio di carattere quantitativo sulla qualità istituzionale, la traduzione operativa del concetto di istituzioni, composta dalle tre fondamentali dimensioni di democrazia, efficienza ed efficacia del governo e assenza di corruzione. La prima parte, che analizza sistematicamente pro e contro di ciascuna tipologia di indicatori, è dedicata alla revisione delle misure quantitative di qualità istituzionale, e individua nei Worldwide Governance Indicators la misura più solida e consistente. Questi indici sono quindi utilizzati nella seconda parte, dove si propone un'analisi empirica sulle determinanti della qualità istituzionale. Le stime del modello di regressione cross-country evidenziano che la qualità istituzionale è influenzata da alcuni fattori prevalentemente esogeni come la geografia, la disponibilità di risorse naturali e altre caratteristiche storiche e culturali, insieme ad altri fattori di carattere più endogeno. In quest'ultima categoria, i risultati evidenziano un effetto positivo del livello di sviluppo economico, mentre la disuguaglianza economica mostra un impatto negativo su ciascuna delle tre dimensioni di qualità istituzionale, in particolare sulla corruzione. Questi risultati supportano la prospettiva teorica e suggeriscono che azioni di policy orientate alla riduzione delle disparità sono capaci di generare sviluppo rafforzando la democrazia, migliorando l'efficienza complessiva del sistema economico e riducendo i livelli di corruzione. / Amongst development theories, following the work of D. North (1973), a branch of studies has recently developed which sees institutions, defined as the rules of the game or humanly devised constraints that shape human interaction, as the fundamental cause of long-run growth. The model constructed by Acemoglu, Johnson and Robinson (2004) emphasizes the interaction between de jure political power, influenced by political institutions, and de facto political power, shaped by distribution of resources, in the evolution of institutional paths. Based on this theoretical framework, this thesis adopts a quantitative perspective to investigate institutional quality, which is composed by three main dimensions: democracy, government efficiency and effectiveness and corruption. A survey of available measures of institutional quality is conducted in order to evaluate pro and cons of each kind of indicators. The analysis finds the World Bank's Worldwide Governance Indicators as the most reliable measures of institutional quality, both in terms of internal and external consistency. These indexes are then used for an empirical analysis over the determinants of institutional quality. The estimates of the cross-country regression model show that institutional quality is affected by some exogenous factors, like geography, natural resources endowments and other historic and cultural traits, and more endogenous factors. Amongst the latter, economic development exerts a positive effect on institutional quality, while a negative association, particularly on the corruption side, is shown by economic inequality. Results confirm our hypothesis and suggest that policies aiming at reducing inequality can foster development by strengthening democracy, by improving the overall efficiency of the economic system and by reducing corruption levels.