Technology spillover and regional convergence process: a statistical analysis of the Italian case

Recent literature broadly highlight the importance of modelling technological innovation effects on economic growth. This paper develops a methodology that allows to measure technology contribution to economic convergence; the choice of a regional framework also allows to underline interregional knowledge transmission as a the major channel of technological progress. Moreover, the specification of a dynamic growth model enables to evaluate both the regional convergence and the effect of innovation on long-run labour productivity without resorting to any technology index measurement. We contribute to the methodological literature also by comparing different dynamic panel data estimation procedures and by detecting both the presence of small sample bias and the existence of a nearly unit root autoregressive process in labour productivity series. The results of an empirical analysis on Italian regions show how most of innovation resources derives from relevant spillover mechanisms. Furthermore, technology spillover intensity seems to be strongly affected by geography and productive structure of regions.Financial support by Fondazione Cassa di Risparmio di Rimini and Uniturim S.p.A. is gratefully acknowledged.     

ROBUST ESTIMATION OF SMALL‐AREA MEANS AND QUANTILES

Small‐area estimation techniques have typically relied on plug‐in estimation based on models containing random area effects. More recently, regression M‐quantiles have been suggested for this purpose, thus avoiding conventional Gaussian assumptions, as well as problems associated with the specification of random effects. However, the plug‐in M‐quantile estimator for the small‐area mean can be shown to be the expected value of this mean with respect to a generally biased estimator of the small‐area cumulative distribution function of the characteristic of interest. To correct this problem, we propose a general framework for robust small‐area estimation, based on representing a small‐area estimator as a functional of a predictor of this small‐area cumulative distribution function. Key advantages of this framework are that it naturally leads to integrated estimation of small‐area means and quantiles and is not restricted to M‐quantile models. We also discuss mean squared error estimation for the resulting estimators, and demonstrate the advantages of our approach through model‐based and design‐based simulations, with the latter using economic data collected in an Australian farm survey.     

The banking industry in Jordan

This paper examines the structure and performance of the banking industry in Jordan during the period 2000–2006. The Jordanian banking industry is free of extensive state ownership and government direction of the economy. These positive features are reflected by the absence of dominant state-owned banks and by the limited use of directed credit programs, interest rate controls, and credit ceilings. The banking industry is well developed, with bank assets representing 239.80 percent of the GDP at the end of 2006, which is a high percentage compared with other developing countries in the region.     

Ranking opportunity sets in the space of functionings

We develop a ranking of compact, convex and comprehensive opportunity sets defined in the evaluative space of individual functionings. We suppose the existence of a target, that is a multi-dimensional bliss point in terms of functionings. This leads us to define concepts such as essentiality and freedomin a novel way. As a main result, we give an axiomatic characterization of the ranking obtained by minimizing the Euclidean distance between each opportunity set and the target.     

Agricultural Exports and the Environment: A Cross‐National Study of Fertilizer and Pesticide Consumption*

Abstract The mass consumption of agrochemicals, including manufactured fertilizers and pesticides, by industrialized agricultural systems worldwide threatens human health and the health of ecosystems. The production of these agricultural inputs is a highly energy‐ and capital‐intensive process, and their application contributes to a variety of direct and indirect impacts on the environment. This study is an analysis of the relationships between international trade in agricultural products and the consumption of these synthetic compounds. Using OLS regression models and data from World Bank and UNFAO, we analyze cross‐national data to examine the relationship between structural factors, such as economic development and export intensity, and both fertilizer and pesticide consumption. The findings are considered from the opposing theoretical perspectives of international political economy (IPE) and neo‐liberal modernization (NLM). The results generally support the claims of IPE and contradict those of NLM, indicating that increases in exports of agricultural products contribute to increases in fertilizer and pesticide consumption within nations. These results call into question policies that promote increased trade liberalization in agricultural products.     

A multiattribute measure of human development

A measure of human development, which is not affected by some relevant drawbacks of the commonly utilized measures, is constructed. It is a function of several attributes associated with various factors — economic, social, environmental — and also includes non-homogeneous attributes. It is non-linear in its variables, so that it includes possible interactions among the attributes. Furthermore, it takes into account public opinion about human development through a well-defined procedure of assessment elicitation. The formulation of the human development function constituting the measure is described when considering just one attribute and then several attributes, and the difference between independence and dependence in assessment is shown. Such a procedure is applied to the measurement of human development in 9 countries of the EU, by using thirteen attributes related to the economic, social and environmental fields as well as to the quality of life.     

A Theory of Access*

Abstract The term “access” is frequently used by property and natural resource analysts without adequate definition. In this paper we develop a concept of access and examine a broad set of factors that differentiate access from property. We define access as “the ability to derive benefits from things,” broadening from property's classical definition as “the right to benefit from things.” Access, following this definition, is more akin to “a bundle of powers” than to property's notion of a “bundle of rights.” This formulation includes a wider range of social relationships that constrain or enable benefits from resource use than property relations alone. Using this framing, we suggest a method of access analysis for identifying the constellations of means, relations, and processes that enable various actors to derive benefits from resources. Our intent is to enable scholars, planners, and policy makers to empirically “map” dynamic processes and relationships of access.     

Marital disruption and economic well-being: a comparative analysis

Summary.  Though there is a considerable literature concerned with the economic consequences of marital breakdown, there is still substantial disagreement in terms of its magnitude. One of the major problems underlying this debate is how economic well-being is defined. We implement several measures of well-being of monetary and multidimensional nature by using data from the European Community Household Panel. Another issue in this literature concerns selection bias of divorcing couples. We tackle this issue by using a propensity score matching technique combined with a difference-in-differences estimator. Results confirm the importance of the definition of well-being. We find a strong gender bias when using monetary measures but a considerably lower bias, and for some countries non-existent, when using non-monetary indices.