The global economic consequences of the Uruguay Round

This paper examines the provisions of the recently completed Uruguay Round and evaluates the qualitative and quantitative effects of the Round on major countries and regions of the world. The implications of the Uruguay Round are measured using the G-cubed multicountry model. This model captures macroeconomic and sectoral linkages within the global economy. This study differs from other studies in that it considers the dynamic adjustment path, the impact of expectations formation, and the sectoral as well as macroeconomic consequences of the Round. The results are compared with other studies of the Uruguay Round. Ignoring major changes in productivity induced by the Round, it is found that the gains to the world economy are likely to be around $200 billion (1990) per year by the year 2000. The distribution of the gains across regions from the Round differ from other studies because of the adjustment of international capital flows. Private capital flows to regions that undertake the most extensive liberalization initially worsen their trade positions. In regions that liberalize less and experience a capital outflow, the production gains tends to be less than conventional studies find. The adjustment of private capital has important implications for exchange rates, and therefore for the adjustment of the international trading system over the decade of the implementation of the Round.     

The European monetary system: Crisis and future

This paper examines the immediate and the fundamental causes of the crsis that hit the European Monetary System in September 1992 and August 1993 and the obstacles that European countries face in trying to achieve their ultimate goal of full monetary union, including a single currency and a union-wide central bank by the end of this decade. The conclusion that follows from the paper is that achieving full monetary union in Europe by the end of this decade is certainly possible but not certain. A major recession or other shock affecting asymmetrically more than one large member nation could derail or at least delay the process of monetary union. Although major benefits are expected to flow from monetary union in Europe, even more important are the political benefits that such a union would provide to its members.     

Fiscal rule compliance,poverty and social exclusion in the Eurozone

This paper develops a simple model of the effects of fiscal adjustments on poverty. Our theory suggests that in richer countries the effects of fiscal adjustment are stronger the more complex is the poverty measure. By examining a panel of 16 EU countries in the period 2005–2015, the paper finds that structural public balance adjustments may harm the welfare of poorer individuals. The empirical estimation hinges on a comprehensive index of poverty and social exclusion, the AROPE index. The results suggest that rigid fiscal rules require specific alternative policies to sustain the welfare of poorer individuals during downturns.     

Selection of a Representative Value Function for Robust Ordinal Regression in Group Decision Making

In this paper, we introduce the concept of a representative value function in a group decision context. We extend recently proposed methods UTA^GMS-GROUP and UTADIS^GMS-GROUP with selection of a compromise and collective preference model which aggregates preferences of several decision makers (DMs) and represents all instances of preference models compatible with preference information elicited from DMs. The representative value function is built on results of robust ordinal regression, so its representativeness can be interpreted in terms of robustness concern. We propose a few procedures designed for multiple criteria ranking, choice, and sorting problems. The use of these procedures is conditioned by both satisfying different degrees of consistency of the preference information provided by all DMs, as well as by some properties of particular decision making situations. The representative value function is intended to help the DMs to understand the robust results, and to provide them with a compromise result in case of conflict between the DMs.     

The role of family ownership in international entrepreneurship: exploring nonlinear effects

Empirical research on international entrepreneurship is growing, but results on the role of family ownership in this phenomenon are inconsistent. We believe these inconsistencies owe to prior researchers having not yet investigated nonlinear relationships. Drawing on opposing perspectives of stewardship and stagnation, we explore potential benefits and drawbacks of family ownership for international entrepreneurship and explore nonlinear relationships among these two variables. Using a sample of 1,035 US family businesses and applying ordinal regression analysis, we find an inverted U-shaped relationship between family ownership and international entrepreneurship: International entrepreneurship is maximized when family ownership stands at moderate levels. We discuss the implications of our findings for theory and practice and indicate avenues for future research.     

An econometric model of internal migration and development: extensions and tests

The author extends a previous work on migration in Italy "from 1958-1976 to 1958-1981, tests for the stability of the model and its coefficients, and uses the model for policy simulations and forecasting. The model performs as well over the extended sample period as over the original period and, even more important..., the model is found to be quite stable. This is remarkable in view of the economic turmoil that characterized the years by which the original sample period was extended."     

Crop genetic diversity, farm productivity and the management of environmental risk in rainfed agriculture

This paper presents an assessment of the linkages between cropgenetic diversity, farm productivity and risk management. Aflexible moment-based approach is used to analyse the impactof crop genetic diversity on the mean, variance and skewnessof yield. Using farm-level data from Sicily (Italy), econometricevidence shows how crop genetic diversity can increase farmproductivity and reduce risk exposure. The empirical resultsindicate that crop genetic diversity can reduce variance, butonly if pesticide use is low. Furthermore, high diversity levelscan reduce downside risk exposure (e.g. the risk of crop failure).This provides useful insights on the linkages between resilienceand crop genetic diversity.     

Crop Insurance as a Strategy for Adapting to Climate Change

Financial insurance for extreme events can play an important role in hedging against the implications of climate change. This paper combines a comprehensive estimation strategy and a unique panel dataset to study the role of financial insurance in farmers' welfare under uncertainty. Data are drawn from a large Italian farm panel dataset. We find that (i) demand for insurance products is likely to increase in response to climatic conditions, and (ii) that the use of insurance reduces the extent of risk exposure. We also find that farms growing more crops are less likely to adopt the insurance scheme. This confirms what is found in the theoretical literature. Crop diversification can be a substitute for financial insurance in hedging against the impact of risk exposure on welfare.     

Risk-type density diagrams by crash type on two-lane rural roads

The research presented here aims to plot density diagrams per road crash risk type to identify all possible scenarios where driving is less than safe. The starting point was the prediction of injury crash rate on horizontal homogeneous segments of two-lane rural roads for three main injurious crash types (head-on/side collisions, rear-end crashes, and single-vehicle run-off-road crashes) as observed on the network. A careful analysis of the database shows that a wide variety of factors appear to be influenced or associated with the crash dynamic, as follows: the road scenario (combination of infrastructure and environmental conditions found at the site at the time of the crash), mean lane width, the horizontal curvature indicator (measurement of the curvature change rate), and mean speed. Crashes recorded from 2003 to 2010, of which 1597 were injurious, and 645 resulted only in damage to property, were analyzed on more than 3700?km of road network in Southern Italy. Generalized estimating equations with a negative binomial distribution were implemented. Risk-type density charts were plotted to thoroughly identify all possible combinations of existing explicative variables producing hazardous conditions on the road. The different shades in the diagrams represent different ranges of injurious crash rates: the white band shows low levels, while a black band shows high values. It is not possible to consider working on an explanatory variable to reduce hazardous conditions on the road network without also considering how this variation might affect the influence of the remaining explanatory variables on crash phenomena and, consequently, on the predictive model. The risk maps make it possible to keep under control in a simple and immediate approach the way each variable as a result of variations of a part or of all.     

Quantitative methods for the economic valuation of a cultural tourism destination: case study of the Pisa Charterhouse

Quality & Quantity - This paper aims to provide an economic valuation of the Pisa Charterhouse, a renowned monastic complex built in the fourteenth century, located in the Tuscany region of...