Factors conditioning the formation of European regional convergence clubs

Recent findings have indicated the existence of European regional clubs. In the following paper, we examine factors conditioning the distribution of European regional GDPpc by estimating conditioned stochastic kernels, arguably the best method for whole distribution or partial conditionings. We also compute conditioned Markov chains for the conditioning factors detected and their sensitivity to changes in probability. Our results show that a country’s fiscal policies to reduce within country inequalities remain the key factor in escaping from backward clubs, together with the integration of women into the labour market. The average number of patents and low-tech manufacturing specialisation indexes are also considered key factors.     

Modeling regional endogenous growth: an application to the non-metropolitan regions of Australia

An exploratory modeling approach to investigate spatial variation in the levels of regional endogenous employment growth and decline over the decade 1991–2001 is developed and applied to an analysis of the non–metropolitan regions (Local Government Areas) in each of the five mainland States of Australia. For the dependent variable, the summation of the regional shift component for change in total employment in major industry sectors¹ over the decade 1991–2001, standardized by the size of the labor force at the beginning of the period, is used as a proxy measure of regional endogenous growth. A general OLS model incorporating a set of 27 independent variables (measuring aspects of industry structure, unemployment, occupational structure, population size and growth, human capital, income distribution, and proximity to the coast and the state metropolitan region) is run, followed by a backward iterative statistical procedure to reduce the complexity of the general model by eliminating statistically insignificant variables to arrive at a specific model for each State. ¹ 17 of the first digit industry sector classifications under ANZSIC93 were used.     

Spatial disparities in the European Union: an analysis of regional polarization

This paper examines the degree of polarization in the European Union regional per capita income distribution between 1977 and 1999 from several complementary perspectives. Specifically, we have combined a non-parametric analysis with the information provided by various polarization measures proposed by the literature on personal income distribution. The results reveal that the European regions tend to cluster into different per capita income classes during the study period. Nevertheless, the level of intra-distribution mobility is relatively low, especially in regions at the upper and lower ends of the distribution. In any event, regional polarization has decreased over time, as a consequence of various factors sometimes working in opposite directions. Additionally, the empirical evidence provided reveals that the geographical location of the various regions and the differences in their productivity levels, play a major role in explaining the polarization patterns observed in the European Union.     

The identification of functional regions: theory, methods, and applications

A functional region is characterised by a high frequency of intra-regional interaction. The text analyses how functional regions can be identified by using labour market data. Three approaches are applied in this task, named the local labour market, commuting zone, and accessibility approach, respectively. The text includes an application using the Fyrstad region. The situation is also studied at two points in time. The outcomes using the different approaches are compared, and the results combined have a richer flavour.

Examining the location factors of R&D labor in the regions of Greece

In this paper two models are developed in an attempt to elucidate the factors that influence the regional distribution of R&D labor across the regions of Greece. The first one is based on an adaptation of the [Guerrero and Seró (1997) Regional Studies 31:381–390] model to the Greek context treating the regional distribution of R&D labor as a function of the extent of agglomeration and the prevailing economic conditions. The second model extends the first one by taking into account two additional factors, viz. the production structure and infrastructure. The econometric results indicate the superior performance of the extended model in the context of Greece as well as attribute the location of R&D labor mainly on the diversification of industrial activity and the number of establishments in innovation-intensive sectors. It is therefore suggested that the stimulation of the regional production structure and infrastructure is essential for ‘knowledge-lagging’ regions.

The spatial distribution of inventor networks

Inventor networking has become both more feasible with improved telecommunication and more important as it usually produces research of higher quality. Despite overwhelming evidence on the benefits of collaboration, patent data from 1994 to 2001 in Sweden demonstrate that inventor networks are not very common. Moreover, the spatial distribution of inventor networks is not uniform. It appears that agglomeration measured both as employment density and as industry diversity, plays a role in explaining networking. Our results indicate that inventor networks are more likely to exist in densely populated areas with a diversified industry. Market size has a negative impact on networking in that we can observe that inventor networks are less common in large metropolitan areas, ceteris paribus. Hence, it supports the proposition that networking can act as a substitute to agglomeration. Our results also suggest that researchers in dense areas will not only collaborate more; they will also collaborate over longer distance.     

Technological activity and productivity in the Spanish regions

This paper analyses the importance of technological activities in explaining the differences in productivity among Spanish regions in the period 1986–1996. It quantifies the effect of the regions’ own technological innovation, and the externalities associated with technological capital, on regional development. The analysis is based on the estimation of production functions and an equation explaining total factor productivity. Although a positive significant effect is obtained at national level on a long-term horizon, the significance of the effect of technological activities on the productivity of the Spanish regions in the period 1987–1996 depends on the indicator used. However, the technological spillover effects between regions are always highly significant regardless of the indicator used.

Agglomeration,job flows and unemployment

This paper examines how job flows and unemployment vary across regions in the context of a New Economic Geography (NEG) model with equilibrium employment. The in-migration that results from agglomeration economies leads to higher rates of both job creation and job destruction. In-migration also leads to lower rates of unemployment suggesting that the regional effects of job creation on unemployment dominate those of job destruction, a result consistent with empirical evidence. Since higher rates of job destruction correspond to higher productivity the results demonstrate that a NEG model can provide a microfoundation for labor market pooling.     

Quality of life in the regions: results for German Counties

In order to assess differences in living conditions across German regions we apply the hedonic approach of Rosen (Current issues in urban economics, 1979) and Roback (J Polit Econ 90(6):1257–1278, 1982) to land-price and wage differences across Germany’s counties. Employing a recent survey of more than half a million Germans on a wide range of social and political issues we confirm that differences in amenities give rise to substantial differences in land prices. With regard to wages, however, we find only little effects of amenities. Relying on the land-price effects we assess the quality of life in each of the German counties and provide a comprehensive ranking.     

Influence of highway construction projects on economic development: an empirical assessment

The evaluation of transportation projects has traditionally been made by assessing changes in travel time, vehicle operating cost, and safety. The broader, long-term effects on economic development (job, income and business growth) are a concern of transportation planners and decision makers, but have often been overlooked due to the lack of a reliable impact-estimation methodology and/or data. This paper presents a quantitative tool that can be used at the project-development phase to estimate the economic-development impacts of different types of highway construction projects. Using data from Indiana, we develop models that can be used to estimate the effects of geographic location, accessibility, and other factors on the economic-development impacts of highway construction projects. Our models can also be used as a basis for programming and ranking a wide variety of highway construction projects.     

Location quotient and trade

Economic base analysis suggests that export expansion should be the primary engine of regional economic growth and the most commonly employed approach to identifying specialization is the location quotient (LQ). Similarly, the law of comparative advantage represents a conceptual framework for determining the type of trade. However, several assumptions of the LQ limit both its general applicability and usefulness. This study recommends that comparative advantage can provide another channel to re-examine the LQ from the viewpoints of both interregional and international trade, where the former can correct the LQ from dependence problems of the location theory and the latter inserts international trade into the LQ to show another vital source of exports, especially for a small open economy and increasing globalization today. Furthermore, the optimal LQ is obtained by integration of the above two new revisions to respond to all types of trade. Finally, the evidence finds that differences in base employment between traditional and these new LQ indices are substantial and hence revised LQ should be considered profoundly.     

Regional economics in its 1950s: recent theoretical directions and future challenges

Regional economics has just entered in its 1950s. It is a young discipline compared to other branches of the economy, yet much work has been done in this field. A vast and rich number of theoretical and methodological approaches exists nowadays to incorporate space into logical schemes, laws and models which regulate and interpret the formation of prices, demand, productive capacity, levels of output and development, growth rates, and the distribution of income in conditions of unequal regional endowments of resources. This contribution provides the state of the art in Regional Economics with the aim to highlight the scientific achievements obtained so far and the theoretical and methodological gaps which still need to be filled out. Aspects that run counter to general beliefs emerge by reading the original contributions of wellknown theoreticians, and will be presented. Future challenges will emerge from a critical approach to the milestones achieved so far. This paper is at the basis of a keynote lecture given at the 46° ERSA Conference, held in Volos, 30 August–3 September 2006.     

Interstate spillovers of private capital and public spending

The analysis estimates the economic returns on public spending by transportation and non-transportation functions vs. private capital, using a panel data set for 48 contiguous states from 1989 through 2002. These actual spending dollars are used as a more precise measure compared to apportioned state public capitals used in the existing literature. For each type of capital/spending, the interstate spillovers were constructed in such a way that different states are weighted by commodity flows across the states to reflect different degree of inter-state dependence. We find that when spending data rather than capital stock is used, all of the interstate spillover effects are negative and statistically significant, suggesting that infrastructure investment does not contribute to economic growth (at least not directly). Therefore, crowding out effects exist among states competing for both private and government funds, in particular if states are highly dependent on allocation of federal funds. These results confirm the finding that previously estimated positive coefficients reflect spurious correlation based on capital stocks and output.     

International convergence and local divergence

This paper presents an East–West endogenous-growth model that reproduces recent stylized facts applicable to the trade liberalization process of many developing countries: convergence with the rest of the world, higher internal divergence, increasing spatial concentration of economic activity and higher growth rates. We claim that the ongoing reduction of manufacturing trade costs may generate a net inflow of global demand towards the industrialized cores of developing countries. This will induce a reallocation of labor from traditional to modern sectors. In turn, such a sectoral shift may enlarge the catch-up (imitation) potential of developing countries and raise global growth rates, due to Grossman and Helpman’s complementarity between imitative and innovative activities. Although advanced economies may become relatively worse off, the effect on growth rates may allow them to gain in absolute terms.     

Local labor markets in U.S.–Mexican border cities and the impact of maquiladora production

Shift-share decompositions of employment positions created over 1990–2002 at U.S.–Mexico border cities show that El Paso employment change has been overwhelmingly attributed to national forces, while local and national forces roughly match employment creation at Brownsville. With such fast growing U.S.–Mexico border area as background, we implement time series labor demand models to these cities (El Paso and Brownsville) and compare movements in Mexican maquiladora production against U.S. employment and wages. Cointegration methods confirm that local shocks are more important in Brownsville than in El Paso. Specifically, 10% increases in Juárez maquiladora production lead to increases of 1.21% in El Paso’s government employment and of 0.88% in overall employment. Similar increases in Matamoros lead to gains of 1.59% in Brownsville’s trade, transportation and utilities employment and of 1.41% in overall employment. These results support shift-share findings and are generally consistent with a more diversified industry-mix promoting higher employment creation.

A time series analysis of U.S. metropolitan and non-metropolitan income divergence

This paper employs time series methods to analyze convergence across metropolitan and non-metropolitan regions during the 1969–2001 period. The results suggest that non-metropolitan regions are diverging from below the U.S. average income level, while metropolitan regions show mixed evidence of convergence. These summary results vary by geographic location and the size of the region, with medium-sized metropolitan regions showing the strongest tendencies to converge, while non-metropolitan areas with larger urban centers and small towns showed the strongest tendencies to diverge. Differences in human capital (as well as employment concentrations in farming and mining) appear to have influenced the relative performance of metropolitan and non-metropolitan regions during the last 30 years, suggesting a role for agglomeration economies in the observed trend toward divergence.

Testing the credit view with pooled data: dynamic links among state bank health, investment-oriented bank loans, and economic performance

This paper focuses on the “credit view” theory at the state level, which suggests that state-level banking sector health influences state-level real economic performance. Specifically, we extend typical analysis of the credit view theory, applying relevant state-level economic variables to consider whether the health of a state’s banking system affects capital investment loans and, in turn, whether growth of these loans affects a state’s economic performance. We develop a two-equation state-level model, use more refined measures of capital investment loans, and apply advanced dynamic pooled estimators to our panel of state data for the 1984–1993 period. Regression results support dynamic links among state bank health, state investment-oriented bank loans, and state economic performance, thus supporting existence of a state-level credit channel effect.

Factors influencing the temporal diffusion of broadband adoption: evidence from Oklahoma

This paper examines the shifting influence of household characteristics and telecommunications infrastructure on the residential broadband adoption decision for Oklahoma residents between 2003 and 2006. In particular, the spread of wired telecommunications infrastructure (namely cable Internet and Digital Subscriber Lines (DSL)) is examined, along with the effect that this diffusion has had on broadband access rates. The data indicates that the gap in broadband access rates between rural and urban areas has remained relatively constant over this period despite increased levels of cable and DSL throughout the state. In addition, an inter-temporal decomposition shows that the increasing levels of infrastructure are not the dominant cause of higher broadband rates over time. Instead, shifting returns to specific characteristics (namely income) are found to be the primary contributors.     

Applying social network analysis in economic geography: framing some key analytic issues

Social network analysis attracts increasing attention in economic geography. We claim social network analysis is a promising tool for empirically investigating the structure and evolution of inter-organizational interaction and knowledge flows within and across regions. However, the potential of the application of network methodology to regional issues is far from exhausted. The aim of our paper is twofold. The first objective is to shed light on the untapped potential of social network analysis techniques in economic geography: we set out some theoretical challenges concerning the static and dynamic analysis of networks in geography. Basically, we claim that network analysis has a huge potential to enrich the literature on clusters, regional innovation systems and knowledge spillovers. The second objective is to describe how these challenges can be met through the application of network analysis techniques, using primary (survey) and secondary (patent) data. We argue that the choice between these two types of data has strong implications for the type of research questions that can be dealt with in economic geography, such as the feasibility of dynamic network analysis.     

Sequencing and scheduling highway network expansion using a discrete network design model

The motive behind this paper is to produce an NDP model that prescribes the final shape of a transportation network and the sequence and schedule of facility construction during the planning span as well. The proposed bi-level NDP model fills the gap between existing NDP models and practitioners’ needs because, in practice, planners have to select investment projects on a year-by-year basis. Conversely, existing models suggest only the optimal network configuration for a planning horizon. A genetic algorithm and a simulated annealing algorithm are proposed along with an exhaustive search algorithm as solution algorithms. Testing these algorithms with an example problem revealed that the simulated annealing worked superiorly to the genetic algorithm. The paper also demonstrates that the model is applicable to a real world problem by showing that the computational time needed to solve the example problem is not prohibitively large.