In my thesis I apply the ethical model developed by John Rawls (1999) to three systems which have an economic dimension: European Union, tax compliance and environmental sustainability. With this task my purpose is to answer to the following overarching research question: is an impartial and non-binding agreement, conceived in a Rawlsian frame, sufficient to generate fair and stable redistributive institutions? This general research question is then addressed and inflected according to the specific economic domains mentioned above.

Though cotton only represents a very small share in world merchandise trade, it is an indispensable commodity in sub-Saharan Africa (SSA). Productivity and profitability of cotton production and processing are key determinants of growth in cotton producing countries. This study analyses the SSA cotton sector. The first section will use value chain analysis to trace the value creation process from the raw material stage to final retail products. The second section analyses the sector from an industrial organizational perspective, highlighting how the sector’s specific features have influenced reforms outcomes and comparing experiences to other reformed SSA crop sectors. The purpose of section three is to shed light on Research and Development in cotton in SSA, framed in a broader picture of agricultural research in SSA. The final section analyses the issue of quality in cotton and tests the assertion that fully implemented reforms have undermined quality performance of the cotton sector in SSA. Keywords sub-Saharan Africa Cotton Sector, Cotton Liberalization, Cotton R&D, Cotton Quality

The main purpose of this thesis is to identify the role of sustainable development in Laos, based on the integration of three factors, economic growth, social development, and the environmental dimension. Annual time series data are used for the period 1980-2010. In order to generate the most appropriate regression, relevant theoretical and empirical studies are reviewed. This thesis contributes to the on-going research issue about key determinants influencing sustainable development in developing countries. Firstly, this study uses the first different of logarithm form to identify the determinants of economic growth, the impacts of growth on poverty and environmental conditions in Laos. However, using the multiple regressions, serious problems of multicollinearity were encountered and those results became less reliable. Principal components analysis (PCA) is a technique to handle the problem of multicollinearity and produce stable and meaningful estimates for regression coefficients. This thesis concludes that there are several variables, both internal and external factors, which have influenced the current economic growth of Laos. Particularly the internal factors (domestic investment, government expenditure, and industry) show their strong correlation with economic growth, while the external factor (participation in ASEAN) also plays an important role in economic growth. On the other hand, the other external factors (FDI, AID and OPEN) show a weaker link to domestic growth of Laos. In the long run, to ensure the effectiveness of external factors on domestic growth, this research suggests exploiting more effectively the opportunities provided by foreign direct investment, through the openness of the system to globalization and international trade, together with better management of aid allocation. The impacts of economic growth on poverty and environmental conditions are then considered, questioning whether economic growth leads to the reduction of poverty and whether it produces a pressure on environmental conditions. This study found that those determinants not only have been dominant in economic growth, but they do indeed correlate with a reduction in the level of poverty. On the other hand, the increase in economic activities leads to increased environmental damage. This research supports continuing the adjustment of domestic activity investment, government expenditure, improving trade openness system, foreign direct investment, aid allocation, ASEAN, and so on. These factors can help the country to grow and poverty to diminish but we have also to pay attention to their impacts on the environment. Sustainable development would achieve its goal only if these internal and external factors contribute to economic growth, where this growth is distributed across the entire population, together with environmental protection conditions. In order to attain the goal of sustainable development, strong environmental and natural resource protection policies are suggested. To maintain a high rate of economic growth, this study suggests considering the natural resources and the areas with the greatest potential to be utilized for growth; such as tourism sustainability, human resource improvement and trade policy improvement. To improve social development, reduce the development gap and eradicate extreme poverty, it is suggested that community participation development, gender promotion, and investment in social services be increased especially in rural areas.

Chapter II: No extant study addresses the persistent detrimental effect of in utero exposure to conflict in countries experiencing protracted conflict. I therefore estimate the impact of in utero conflict exposure on weight-for-age z-score (WAZ) by applying instrumental variable regression to information on Afghan children aged 0-59 months merged with data on district-level fatalities during the intrauterine period. Although like previous research, I find an overall negative effect of violence on WAZ, the effect is stronger for children born in districts where long-term conflict is on average comparatively lower. I attribute these heterogeneous effects to the fact that households living in environments of constant conflict have developed more effective coping strategies. I support this result by showing that physical insecurity in districts in which opium poppy is cultivated, a coping strategy for rural farmers, has a comparatively smaller negative effect on household wealth because of the lower risk of eradication. Chapter III: Although Afghanistan experienced a slight rise in female literacy and some decline in female and infant mortality between 2000 and 2015, these improvements were not great enough to explain the simultaneous dramatic drop in total fertility, from 7.5 to 4.6. In this study, therefore, I test the previously unverified hypothesis that long-term conflict has a negative causal impact on both fertility outcomes and fertility preferences. More specifically, by applying 2SRI GLM Poisson regressions to cross-sectional data for a subsample of ever-married women of reproductive age (15-49) combined with georeferenced information on district level conflict from 1979 to 2015, I estimate the causal impact on fertility of conflict experienced since the time of first union. I find that although long-term conflict does indeed reduce the number of pregnancies and living children, when a woman’s ideal number of children desired over the lifetime is used as the dependent variable, conflict is a relatively small (albeit still statistically significant) determinant of fertility preferences. This finding implies that, given the only modest improvements in women’s health and development, the drop in Afghanistan’s total fertility rate would slow down if the conflict were to cease. Chapter IV (a joint work with Peng Nie and Alfonso Sousa-Poza): This study uses biomarker information from the 2013 National Nutrition Survey Afghanistan and satellite precipitation driven modeling results from the Global Flood Monitoring System to analyze how floods affect the probability of anemia in Afghan women of reproductive age (15–49). In addition to establishing a causal relation between the two by exploiting the quasi-random variation of floods in different districts and periods, the analysis demonstrates that floods have a significant positive effect on the probability of anemia through two possible transmission mechanisms. The first is a significant effect on inflammation, probably related to water borne diseases carried by unsafe drinking water, and the second is a significant negative effect on retinol concentrations. Because the effect of floods on anemia remains significant even after we control for anemia’s most common causes, we argue that the condition may also be affected by elevated levels of psychological stress.

For more than 10 years, from the launch of the Single Currency to the global financial crisis, the process of deepening European integration stagnated, while emphasis was on widening the borders of the Union. In the wake of the Eurocrisis, however, two phenomena have captured the attention of political economists interested in European integration: the outstanding amount of new institutions, policies, and legislation which have been set in place to counter the crisis, and the rising popular rejection of the very concept of European unity. The old functionalist adage that “integration advances through crises” appears to be, prima facie, corroborated; nevertheless, the dynamics of (political) fragmentation seems to follow a similar pattern, as Postfunctionalists would expect. Two interrelated questions emerge: is the Eurocrisis a true functional crisis? Did the Eurocrisis trigger a new, “transformative” cycle of integration, embodied in its Postfunctional dynamics? In the attempt to address this research puzzle, this doctoral dissertation attempts to operationalize the research problem through six standalone papers clustered in two parts. In addition, Chapter 1 reconstructs the key elements of systemic functionalism, guiding the reader through the theoretical pillars of this work presenting its overall logic – questions, methodologies, and chapter connections. Part One of the dissertation (Chapters 1-4) deals with the fundamental question concerning the Neofunctional nature of the Eurocrisis, attempting to clarify to what extent the Eurocrisis can be really qualified as a “functional crisis”. Chapter 2 provides a comprehensive historical account of functional crises through the first 60 years of European Integration; Chapter 3 provides an econometric test of the endogenous nature of the Eurocrisis; Chapter 4 provides a qualitative assessment of the functional nature of the institutions introduced during the crisis. Part Two of the dissertation (Chapters 5-7) dives into the possible Postfunctional implications of the Eurocrisis, analyzing to what extent the crisis is contributing to create a mobilized European public sphere. In particular, Chapter 5 provides a theoretical analysis of how the crisis is changing the legitimacy of the EU; Chapter 6 provides an econometric assessment of the crisis’ impact on citizens’ preferences for further economic integration; finally, Chapter 7 provides an analysis of the crisis’ impact on the performance of extreme Eurosceptic parties.

Agricultural cooperatives emerge as tools through which individual farmers meet their economic and social needs and they do so in a manner that allows them both to economize on costs and to disperse the risks associated with pursuing these needs individually. They are particularly useful for enhancing economic development of transition countries in which basic market economy infrastructure is either underdeveloped or is altogether missing. However, agricultural cooperatives do not always deliver the desired level of rural development. Although the literature sometimes takes this to mean that the model itself is defective, I argue to the contrary. In this thesis, I propose that it is the evolutionary path of cooperative idea, its implementation in reality and the way in which it interacts with its institutional surroundings that condition the ability of the model to perform. In other words, cooperative idea is not immune to its political and economic context but rather it is molded by it, and sometimes to the point that it no longer resembles its original substance. In line with that, the main objective of this thesis is to look into factors that either stimulate or discourage development and functioning of agricultural cooperatives in a context of post-socialist and post-conflict Bosnia and Herzegovina (BiH). In doing so, the thesis adopts a new institutionalist frame of analysis combining it with the insights from the economics of the third sector and the cooperative theory to highlight both the evolutionary nature of cooperative idea as well as its embeddedness in the socio-economic context. The research relied on quantitative and qualitative approaches and gathered data from field work and secondary sources. The main findings can be summarized in the following several points: both formal and informal institutions have shaped the way in which cooperatives are understood and utilized by farmers in BiH; cooperatives in post-socialist and post-conflict settings require legal clarity that not only sets them apart from other types of firms in the market but also from degenerated forms of cooperatives that exist to serve interests of few individuals rather than cooperative members and their communities; when judged by the standards that apply to cooperatives in economically advanced societies, it is safe to state that there are very few true cooperatives in BiH; given the structure of agricultural market and number of farmers, there is a lot of potential in utilizing the cooperative model for purposes of rural development. However, using cooperatives for development purposes requires a basic alignment between the features of institutional environment and cooperative organizational characteristics. If stimulated properly through positive policy changes, cooperatives can exhibit transformative potential that is best reflected in how they empower their patrons as well as contribute to the development of their communities.

Labor standards have been introduced in both developed and developing countries with the presumption that there is synergy at work in the relationship of labor standards and workers’ rights. Standards translate into workers’ rights, and enhance workers’ economic security. The question I address in this dissertation is whether the inherent link in the nexus makes the transformation towards workers’ economic security possible, and what factors do shape standards to transform into rights, and in turn, influence economic security. Focusing on the forms of labor standards, I argue that the choice of instruments and the transformation process determine whether the link automatically creates synergy, or produces tensions /conflicts. The dissertation shows that synergistic or conflicting relationship depends upon the internal dynamics of the institutional mechanisms, and myriad of interest groups through which workers’ interests are (mis)represented. Taking labor standards installation in Bangladesh and the concomitant transformation mechanisms for the increasingly globalized garment sector workers as a case in point, I claim that the issue of workers’ economic security has been lost in the whirlpool of standards, rights, and representation. This study shows that labor standards in Bangladesh installed through three routes— rights legislation, rights conditionality, and corporate codes—have hardly translated into workers’ rights, and these provisions largely have failed to promote the workers’ economic security. The failure to transform labor standards into workers’ rights and workers’ economic security is best explained by the lack of adequate and effective representation of the working poor by the various interest groups. I argue that the inability of the institutional mechanisms to address the needs of the working poor is due to acts of omission and/or commission by both the state and non-state actors. The ‘standards-rights-economic security’ nexus can only work for an equitable outcome for workers if there are adequate and effective forms of workers’ representation in the institutional mechanisms. The politics of representation drives the outcome of the nexus.

Although the last thirty years Regional Innovation Systems (RIS) received great attention by policy makers, only during the last decade social networks were applied in the fields of innovation and regional economics. The majority of the existing empirical studies on networks adopt a static point of view, representing a regional knowledge network at a certain point in time, while there are few recent attempts exploring the evolution of knowledge networks and the dynamics that drive it. The present work aims at covering some of the gaps in the literature, using the dataset on collaborative projects from the ICT activity in Trentino. It introduces an original multidimensional framework to analyze the knowledge flows inside, from within and towards the regional network. It also identifies the key actors inside the region and describes their role in knowledge creation and diffusion. Concerning the spatial and temporal evolution of the knowledge networks, this thesis investigates the preferences of the economic actors operating inside regional networks, in terms of shared characteristics, while it explores the dynamics developed through time by the behavior of economic agents during high and low certainty periods, contributing to the inertia and the resilience of the regional knowledge network. The present research is the first that introduces Social Network Analysis (SNA) using data on knowledge transfer from Trentino, considering the entire universe of actors involved in the regional ICT knowledge network for the last fifteen years, and allocating it to an original multidimensional framework, in order to reveal the value of the knowledge network per se, and the impact of the regional policies on the network and not on the output of the innovation process. On the spatial evolution of networks, it explores in depth the preferences of the actors of a regional knowledge network, in order to make it more solid through strong collaborations. It proves that the effect of every kind of proximity or distance is different, while it introduces the measure of relational proximity, exploring the effect of the position of an actor inside the knowledge network in relation with the rest of the actors. However, the major finding of this thesis is the introduction of the temporal aspect in the evolution of the regional knowledge network, and the exploration of the agent behavior during periods of uncertainty. The introduction in the network evolution of an external negative event, like economic crisis, allows the deduction of useful conclusions on how the actors behave in terms of trust and collaboration creation.

This thesis contains four closely related essays which address the empirical issues pertaining to the causes, consequences, and households’ responses to food price shocks in Uganda. The first essay investigates the nature of volatilities in agricultural commodity prices in Uganda between 2000 and 2012 by focusing on six key food staples, namely matooke, cassava, maize, sweet potatoes, beans, and millet flour. It studies the behavior of monthly price volatilities of these commodities, examines the extent of their volatility spillovers, identifies their macroeconomic and environmental drivers, and uncover their differential impacts using respectively the General Autoregressive Conditional Heteroscedastic (GARCH), the Vector Autoregressive (VAR) and the Seemingly Unrelated Regression (SUR) models. I find evidence that both unconditional and conditional price volatilities have significantly increased since January 2008 for most commodities, period of turmoil in the global food markets. The GARCH (1, 1) estimates indicate a strong persistence in volatility for most commodities while results from the Exponential GARCH (1, 1) models suggest the presence of asymmetric and leverage effects of unexpected price shocks for half of the commodities. In addition, the VAR estimation results detect limited and mostly unidirectional spillover effects across food commodities. Finally, historical price volatilities of most commodities are found to be primarily affected by volatilities in consumer price indices, fuel prices, and rainfall, with less evidence of strong seasonality effects as previously reported. The second essay presents an empirical analysis of the welfare impacts of food price changes in Uganda using three waves of the Uganda National Panel Surveys (UNPS) spanning over the years 2005-2011. It theoretically investigates the implications of labor market imperfections and households’ heterogeneity in terms of their net positions in both food and labor markets and compares welfare estimates between separable and non-separable models. Through the estimations a panel stochastic production frontier function and a censored-Quadratic Almost Ideal Demand Systems (QUAIDS) with expenditure and shadow wage endogeneities, the results suggest that the welfare effects of price changes (measured in terms of compensating variations) were globally lower in the non-separable agricultural model, implying a high degree of labor market frictions. Furthermore, I find that the welfare effects were unevenly distributed both within and between household groups. Particularly, although agricultural households benefited from price increases as a group between 2005/6 and 2009/10, both significant and insignificant net buyers did suffer from price changes. Moreover, results from non-parametric estimations show that households at the extremes of the welfare distribution were more severely hit by food price instabilities than others. Finally, the essay suggests that the important dynamics in the net market positions observed during the sample period might be attributed to a cost-benefit analysis related to the potential welfare effects of food prices. The third essay explores the question of crop choices and land allocations in environments where farmers face uncertainties about end-of-season output prices and yield levels, weather variability, and formulate expectations about their future levels. Indeed, in the absence of credit and/or insurance markets, farmers are widely expected to adjust their land allocation decisions as a management tool against agricultural and market-related risks. However, little is actually known about the likely differential effects of each of these risk components on farmers’ decisions, particularly when current decisions are allowed to depend on previous choices. Using a nationally representative panel data set for agricultural households in Uganda spanning over the years 2005 – 2012, the paper proposes to investigate the role played by both price and yield risks on farmers’ crop choices and area allocations using a multivariate generalization of the Heckman-type two-step procedure: a multivariate crop selection and a conditional acreage share models. The crop selection problem is modeled as a dynamic multivariate probit regression and estimated through Simulated Maximum Likelihood and the Geweke Hajivassiliou Keane simulator, whereas the conditional acreage share model is estimated using a dynamic multivariate fractional logit model. In both the multivariate crop selection and acreage share models, the results reveal that, while own expected prices and yields are among the main drivers of farmers' crop choices and land share allocations, farmers are found to be more sensitive to changes in expected yield levels than in expected end-of-season output prices. In addition, yield risks, temperature and rainfall volatility appear to have more impact on acreage share decisions than market price risks. Finally, household characteristics are found to play a marginal role in explaining farmers’ crop selection and acreage allocation decisions. The fourth and last essay develops a modified standard Ramsey model to analyze households’ welfare growth and test the assumption that differential exposure to food price shocks leads to different welfare trajectories and to potentially increased risks of poverty traps. The essay focuses on two welfare indicators, namely consumption levels and asset indices, and employs a battery of econometric methods, ranging from parametric GMM fixed effects models to locally weighted scatterplot smoother (LOWESS), local polynomial regressions, and Ruppert et al’s (2003) semi-parametric penalized splines to address nonlinearities in welfare dynamics, identify and locate critical welfare thresholds, and test for the presence of single against multiple welfare equilibria. Using the full sample, I find nonlinearities in welfare dynamic paths and reduction in the growth rates of both consumption levels and assets holdings as a consequence of exposure to food price and asset shocks. However, there is no evidence of poverty traps caused by households’ exposure or vulnerability to food price shocks, but instead I identify only a single dynamic stable equilibrium, located slightly above the official poverty, towards which Ugandan households are converging in the long run. Finally, when disaggregating households into different sub-groups sharing similar characteristics, the empirical results reveal that Ugandan households are converging towards specific welfare equilibria, depending on their initial conditions, demographic characteristics, the extent of their vulnerability and differential exposure to food price shocks. Particularly, I found that, households exposed to food price shocks or above the vulnerability threshold index are expected to move in the long run to welfare equilibria located at lower levels than their unexposed or less vulnerable counterparts.

The analysis of the complex and fast changing technological processes which today are summarized in the term ‘Industry 4.0’ reveals that the industrial system is shifting towards a new technological paradigm (Perez, 2009; 2010), implying systemic transformations at micro, meso and macro levels of analysis (Geels, 2005). These radical transformations are deeply changing the way products, production processes and business models are conceived, questioning the traditional separation between manufacturing and services, and making it more and more important for firms to adopt a collaborative approach to innovation (Hagedoorn et al., 2000). This rapid technological advance implies the need for the socio-economic players to adopt new strategic and operational measures in order to prevent the loss of competitive advantage of national and regional innovation systems. The recent debate on industrial policies shows that a mission-oriented industrial policy approach (Mazzucato, 2014; European Commission, 2018) may provide interesting inspirational principles able to guide these transformations, since it places at the centre of its reasoning the key role of the public actor able to stimulate the strategic coordination between multiple socio-economic players at different levels (Mazzucato and Perez, 2014; Rodrik, 2004). According to this approach, Public-Private research Partnerships, are assumed to be effective vehicles of governance able to improve technological development, stimulating strong links between the relevant socio-economic players and thus increasing the national and regional systems’ overall innovative potential (Mazzucato, 2014; Rodrik, 2004; 2014; Robin and Schubert, 2013; Kristensen and Scherrer, 2016). The aim of the present work is to understand how the strategic coordination between public and private players may be an opportunity for the definition of effective innovation policies in the context of the current socio-technical transition. In order to reach this purpose, a multilevel approach (Geels, 2005) is adopted, taking into account both the national and the regional levels of analysis. A quantitative analysis is provided at national level in order to understand the relationship between a specific approach to innovation and technology policy, the overall innovation performance and the level of diffusion of cooperative innovation activities in a National Innovation System (Lundvall, 1988); moreover, it contributes to the existing literature on Public-Private research Partnerships (Hagedoorn et al., 2000) by testing the effectiveness of some main variables at industry and company level explaining the propensity of companies to get involved in formal cooperative innovation activities. This analysis is made taking into account data stemming from the 8th wave of the Community Innovation Survey, 2010-2012. Moreover, the results of a field research conducted at regional level are presented, aiming at understanding the elements of an institutional/organizational framework which are able to positively influence technological local development. In this case, the analysis takes into account a Regional Innovation System (Cooke et al., 1997): the Autonomous Province of Trento. Data have been gathered through both primary sources, based on 57 semi-structured interviews to local institutions and firms, and secondary sources, based on relevant documents and reports. The major conclusion of the present work is that, given the systemic nature of this socio-technical transition, only a mission-oriented policy approach to innovation policy based on strategic Public-Private research Partnerships may be able to trigger the necessary cross-level synergies between the different socio-economic players involved, managing the important challenges lying behind these transformations.