Sectoral Agglomeration Economies in a Panel of European Regions

We estimate agglomeration economies, defined as the effect of density on labour productivity in European regions. The analysis of Ciccone (2002) is extended in two main ways. First, we use dynamic panel estimation techniques (system GMM), thus offering an alternative methodological treatment of the inherent endogeneity problem. Second, the sector dimension in the data allows for disaggregated estimation. Our results confirm the presence of significant agglomeration effects at the aggregate level, with an estimated long-run elasticity of 13 percent. Repeated crosssection regressions suggest that the strength of agglomeration effects has increased over time. At the sector level, the dominant pattern is of cross-sector "urbanisation" economies and own-sector congestion diseconomies. A notable exception is financial services, for which we find strong positive productivity effects from own-sector density.employment density; productivity; european regions; dynamic panel GMM

Local Industrial Structures and Female Entrepreneurship in India

We analyze the spatial determinants of female entrepreneurship in India in the manufacturing and services sectors. We focus on the presence of incumbent female-owned businesses and their role in promoting higher subsequent female entrepreneurship relative to male entrepreneurship. We find evidence of agglomeration economies in both sectors, where higher female ownership among incumbent businesses within a district-industry predicts a greater share of subsequent entrepreneurs will be female. Moreover, higher female ownership of local businesses in related industries (e.g., those sharing similar labor needs, industries related via input-output markets) predict greater relative female entry rates even after controlling for the focal district-industry’s conditions. The core patterns hold when using local industrial conditions in 1994 to instrument for incumbent conditions in 2000-2005. The results highlight that the traits of business owners in incumbent industrial structures influence the types of entrepreneurs supported.

Entry and Exit of Physicians in a two-tiered public/private Health Care System

Firm turnover has recently attracted increased interest in economic research. The entry of new firms increases competition and promises efficiency gains. Moreover, changes in the market structure influence productivity growth, because firm entry usually leads to increased innovation. The health care market exhibits important differences as compared to other markets, including various forms of market failure and, as a consequence, extensive market regulation. Thus, the economic effects of entries and exits in health care markets are less obvious. The following paper studies the determinants of entry and exit decisions of physicians in the private sector of the outpatient part of the Austrian health care system. We apply a Poisson panel estimation to a data set of 2,379 local communities and 121 districts in Austria in the time period 2002 - 2008. We are particularly interested in the question how public physicians (GPs/specialists) and their private counterparts influence the entrance and exit of private physicians. We find a significantly negative effect of existing capacities, measured by both private and public physician density of the same specialty, on the entry of new private physicians. On the contrary, we find a significantly positive effect of private GPs on the entry of private specialists. Interestingly, this cooperation/network effect also works in the other direction, as a higher density of private specialists increases the probability of the market entry of private GPs. Based on the results of previous literature, we thus conclude that private physicians establish networks to cooperate in terms of mutual referrals etc. Our estimations for market exits basically confirm the entry results, as higher competitive forces positively influence the market exit of private physicians.Entry, Exit, Health Care, Physician location

The Spatial Distribution of Economic Activities in the European Union

Abstract This paper considers the spatial distribution of economic activities in the European Union. It has three main aims. (i) To describe the data that is available in the EU and give some idea of the rich spatial data sets that are fast becoming available at the national level. (ii) To present descriptive evidence on the location of aggregate activity and particular industries and to consider how these location patterns are changing over time. (iii) To consider the nature of the agglomeration and dispersion forces that determine these patterns and to contrast them to forces acting elsewhere, in particular the US. Our survey suggests that much has been achieved in the wave of empirical work that has occurred in the past decade, but that much work remains to be done.Location, European Union, descriptive statistics, empirical studies

Highway Infrastructure Investment and Regional Employment Growth: Dynamic Panel Regression Analysis

A number of macro-level studies attempting to establish the statistical link between public investment in highway infrastructure and employment have applied econometric techniques to estimate the effect of highways while controlling for the effects associated with other factors. Unfortunately, direct use of empirical findings from these historic and recent studies, in shaping transport policy and supporting particular investment decisions, has been rather limited by mixed and inconclusive evidence in the literature. Apart from the common differences among these studies in scope and methodology, another possible reason for the contradictory evidence is that much of the previous work has generally suffered from several methodology drawbacks. In many studies, for instance, several important determinants of employment growth are omitted, and the choices of control variables included in the estimated equations generally are not based on theory. Those studies based solely on cross-sectional data also typically do not account for unobserved regional heterogeneity that may explain spatial differences in employment changes. Moreover, the possibility that the causal relationship between transportation investment and economic growth could work in both directions is generally ignored. This paper attempts to shed some light on this controversy by analysing the effect of highway investment on county-level employment in the State of North Carolina, United States. We derive a reduced from model of equilibrium employment that considers the effects of highways and other potential factors on the supply and demand for labour. Given the potential for lagged responses of the labour market to any exogenous shock, we assume a partial adjustment process for actual employment in our empirical model. A panel data set for 100 North Carolina counties from 1985 to 1997 is used in order to control for unobserved county and time specific effects using panel regression techniques. We also address the causality issue by the use of a two-stage least squares procedure with an instrumental variable. Our main results are that the employment effect of highway infrastructure depends critically on model specifications considered, and failure to account for the dynamics of employment adjustment could lead to an upward bias in the estimated effect of highways.

The determinants of internal migration in Turkey

Internal migration has had a great impact on Turkey’s population dynamics for decades. According to the 2000 population census, nearly 28% percent of the population was born in a different province that they now reside in. This ratio goes up to 62% for Istanbul, a major province that has drawn migrants for years. Although, it is claimed in numerous studies that rural-urban migration that centers on a few urban areas seems to be the predominant pattern of internal migration, we aim to investigate further to see if new patterns of internal migration have emerged. The immense socioeconomic differences between regions shape inter-regional migration. The dynamics of migration differ across regions as each region has its unique geographical and socioeconomic structure. However, previous studies suggest that despite these differences, there are common economic and social factors that affect internal migration. Gender differences also have an important role in determining internal migration patterns, which is apparent when we consider the differences in reasons for migration between different genders. Although education levels have increased significantly for females over the last decade, marriage and dependent mi¬gration still overwhelm other relevant factors such as job seeking. This shows that one needs to distinguish between different genders when analyzing internal-migration. Thus, this paper presents an empirical study on the determinants of internal migration in Turkey. Using data from the 1990 and 2000 population censuses, we present a descriptive analysis and estimate an extended gravity model of migration. We show that both economic factors such as income differentials and unemployment rates, and social factors such as presence of social networks have a significant impact on migration. Moreover, following in part the approach of family migration models, we examine the effect of uncertainty on migration in our model

Swedish regional GDP 1855-2000 : estimations and general trends in the Swedish regional system

This paper uses a method devised by Geary and Stark to estimate regional GDPs for 24 Swedish provinces 1855-2007. 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 co-evolved 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 also sketch a research agenda from our results.Industrialization, Regional inequality, Regional income, Economic growth

Determinants of foreign direct investment in services

This study uses industry level foreign direct investment (FDI) data from 57 countries 1989-2000, to examine the host country determinants of FDI flows in services as a whole, and in the major service industries. Consistent with the observation that many services are non-tradable, we find that service FDI is market-seeking, and unaffected by trade openness. Producer services are important in binding together vertically disintegrated chains of production, accordingly we find a strong correlation between FDI in manufacturing and FDI in finance and transport. While composite political risk does not affect FDI in services, disaggregate socio-political indices prove significant in certain service industries.Foreign direct investment Services

Immigration and innovation in European regions

The pooling of people with diverse backgrounds in particular areas may boost the creation of new ideas, knowledge spillovers, entrepreneurship and economic growth. In this paper we measure the impact of the size, skills and diversity of immigration on innovativeness of host regions. For this purpose we construct a panel of data on 170 regions in Europe (NUTS 2 level) for the period 1991-2001. Innovation outcomes are measured by means of the number and types of patent applications. Given the geographical concentration and subsequent diffusion of innovation activity, and the spatial selectivity of immigrant settlement patterns, we take account of spatial dependence and of endogeneity of immigrant settlement in the econometric modelling. We find that an increase in patent applications in a region is associated with (i) net immigration; (ii) the share of foreigners in the population of the region; (iii) the average skill level of the immigrants; and (iv) the cultural diversity of the immigrants. The magnitude of these effects varies between types of patents