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This paper extends a methodology proposed by Nissanov and Silber (2009) who decomposed the coefficient β used in convergence analysis into three components checking respectively whether there was σ-convergence, whether ‘pure mobility’ (upward or downward income mobility) was lower among the poor and what the extent of ‘residual mobility’ (the third component) was.

The present paper extends this analysis by applying it to the analysis of regional per capita income levels but also to that of within regions inequality and regional welfare levels. The empirical illustration uses Portuguese data on average earnings at the level of NUTS3.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

In recent years, economics has turned its serious attention to the explaining of conflicts and a peaceful resolution of conflicts. Some interesting and powerful microeconomic models have been developed, yet it seems there are gaps that motivate the current research. As our discussion shows below, the existing models are robust in explaining an equilibrium defence spending of a nation in a general equilibrium setting. Yet, there is little that we know about the regional distribution of defence spending that is likely to give rise to serious rent-seeking activities, politicking and consequent economic consequences in terms of regional disparity and inequality. In this work, we posit that defence spending is like a local public good that impacts on a regional, or local, economy. To be more specific, our model suggests that defence spending offers public infrastructure to a regional economy that, in turn, impinges on the costs of production of local firms, which thereby influence the competitive positioning of the regional economy in the national, or global, market. The goal of the work is to explore how the politics of allocation of defence spending can create an equilibrium regional inequality within a nation, which may in turn drive internal conflicts. Since an allocation of defence spending impacts on regional inequality, regional inequality becomes endogenous in our model. We establish an equilibrium inequality in our model that depends on the optimal allocation of defence spending across regions, which is driven by the electoral motive of an incumbent government.

This paper aims to estimate the global income distribution during the nineties using limited information. In a first stage, we obtain national income distributions considering a model with two parameters. In particular, we propose to use the so-called Lamé distributions, which are curved versions of the Sigh-Maddala and Dagum distributions. The main feature of this family is that they represent parsimonious models which can fit income data adequately with just two parameters and whose Lorenz curves are characterized by only one parameter. In a second stage, global and regional distributions are derived from a finite mixture of these families using population shares. We test the validity of the model, comparing it with other two-parameter families. Our estimates of different inequality measures suggest that global inequality presents a decreasing pattern mainly driven by the fall of the differences across countries during the course of the study period that offsets the increase in disparities within countries.

Purpose: This chapter provides a meso-level scientific and economic study aimed at capturing the nature and extent of technological inequalities manifesting themselves in the regional economy. Regions shall mean economic systems within countries. The authors hypothesize that the regional economy of modern Russia is characterized by pronounced yet moderate technological inequalities at the level of the regional economy.

Design/methodology/approach: A factor analysis of the influence of different factors of state regulation of the regions on technological inequality in Russia is conducted. This makes it possible to develop and substantiate an economic and legal approach to managing conflicts in the sphere of digital development. A bifurcation analysis of wealth and resource dynamics is given.

Findings: In this chapter, the authors examine the basis for state regulation of technological inequalities in Russia’s regions.

Originality/value: The main focus of this chapter is the result of a regression-based factor analysis on the direction of state regulation of the regions on technological inequality in Russia.

Does the standard of living vary from region to region in Portugal and are spatial units in Portugal converging in income? We observe spatial error dependence between municipalities and estimate spatial econometric models to test convergence. For conditional convergence we conclude that primary sector employment, activity rate, and percentage of active population with higher education are important to distinguish the “steady state” of the regional economies, reflecting the labor market at regional level.

In this chapter, I estimate French regional gross value added per capita in constant terms between 1872 and 1911, to better understand regional inequalities within the country and to allow comparison with other European regions. To this end, I develop a novel regional income estimation model, where income is specified as a function of shifts in sectoral employment structure. Its conceptual basis is uncontroversial, its data requirements are low, and it withstands robustness checks.

This paper uses a method devised by Geary and Stark to estimate regional GDPs for 24 Swedish provinces 1855–2000. In empirical tests, we find that the Swedish estimations yield results of good precision, comparable to those reported in the international literature. From the literature, we generate six expectations concerning the development of regional GDPs in Sweden. Using the GDP estimations, we test these expectations empirically. We find that the historical regional GDPs show a high correlation over time, but that the early industrialization process coevolved with a dramatic redistribution of productive capacity. We show that the regional inequalities in GDP per capita were at their lowest point in modern history in the early 1980s. However, while efficiency in the regional system has never been as equal, absolute regional differences in scale of production has increased dramatically over our investigated period. This process has especially benefited the metropolitan provinces. We present detailed sources of our estimations and also sketch a research agenda from our results.