References of "Bertinelli, Luisito 50000747"
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See detailThe Evolution of the Distribution of Plant Size: Evidence from Luxemburg
Bertinelli, Luisito UL; Cardi, Olivier; Pamukçu, Mehmet Teoman et al

in Small Business Economics (2006), 27(4), 301-311

In a recent paper, [Cabral, L. M. B. and J. Mata, 2003, American Economic Review, 93, 1075–1090] using Portuguese manufacturing data have shown for the first time that the plant size distribution is ... [more ▼]

In a recent paper, [Cabral, L. M. B. and J. Mata, 2003, American Economic Review, 93, 1075–1090] using Portuguese manufacturing data have shown for the first time that the plant size distribution is significantly right-skewed at the early part of the life cycle and then changes to become more log-normal. Using a similar proxy for plant age we compare this stylised fact for both Luxembourg manufacturing and services. Use of plants’ true age, however, reveals that the size distribution reverses back towards right-skewness for very old plants. We confirm the finding that the right-skewness is likely driven by financial constraints. Copyright Springer 2006 [less ▲]

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See detailGeographic Concentration and establishment Scale: Can Panel Data tell us more ?
Barrios, Salvador; Bertinelli, Luisito UL; Strobl, Eric

in Journal of Regional Science (2006), 46(4), 733-746

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See detailClimatic Change and Rural-Urban Migration: The Case of Sub-Saharan Africa
Barrios, Salvador; Bertinelli, Luisito UL; Strobl, Eric

in Journal of Urban Economics (2006), 60(3), 357-371

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See detailCoagglomeration and Spillovers
Barrios, Salvador; Bertinelli, Luisito UL; Strobl, Eric

in Regional Science & Urban Economics (2006), 36(4), 467-481

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See detailGeographical agglomeration: the Case of Belgian manufacturing industry
Bertinelli, Luisito UL; Decrop, Jehan

in Regional Studies (2005), 39 (5)

The aim of this study is to provide a comprehensive discussion of the use of the Ellison and Glaeser index and subsequently to carry out a descriptive analysis of the geographical concentration of the ... [more ▼]

The aim of this study is to provide a comprehensive discussion of the use of the Ellison and Glaeser index and subsequently to carry out a descriptive analysis of the geographical concentration of the manufacturing sector in Belgium. To assess the degree of concentration, individual plant data on wage and salary earners are used, with a relatively fine geographical breakdown (districts and townships). It is shown that more than 30% of the industries are excessively agglomerated. [less ▲]

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See detailThe Environmental Kuznets Curve semi-parametrically revisited
Bertinelli, Luisito UL; Strobl, Eric

in Economics Letters (2005), 88(3), 350-357

This paper re-examines the existence of an Environmental Kuznets Curve (EKC) across countries using a semi-parametric regression estimator, which places no restrictions on the functional form. Our results ... [more ▼]

This paper re-examines the existence of an Environmental Kuznets Curve (EKC) across countries using a semi-parametric regression estimator, which places no restrictions on the functional form. Our results using cross-country panel data on Sulfur and Carbon Dioxide strongly suggest that the relationship between wealth and environmental degradation is not bell-shaped, as suggested by an EKC. Rather that there is a positive link for the very poorest countries and no clear relationshipfor richer countries.<P>(This abstract was borrowed from another version of this item.) [less ▲]

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See detailR&D activities at firm level in Belgium: when location matters
Bertinelli, Luisito UL; Nicolini, Rosella

in Review of Regional Studies (2005)

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See detailGeography, Multinationals and Local Development
Barrios, Salvador; Bertinelli, Luisito UL; Strobl, Eric

in Annals of Regional Science (2005), 39

Detailed reference viewed: 77 (7 UL)
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See detailThe Dynamics of Agglomeration: Evidence from Ireland and Portugal
Barrios, Salvador; Bertinelli, Luisito UL; Strobl, Eric et al

in Journal of Urban Economics (2005), 57(1), 170-188

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See detailInnovation et externalités spatiales: une approche par la fonction de production de connaissance
Bertinelli, Luisito UL

in Revue d'Economie Régionale et Urbaine (2004), avril(2), 283-310

The knowledge production function, which has initially been suggested as a mean to measure of technological externalities, is extended here to the spatial dimension. After accounting for spatial ... [more ▼]

The knowledge production function, which has initially been suggested as a mean to measure of technological externalities, is extended here to the spatial dimension. After accounting for spatial autocorrelation, two interesting results are worth noting : 1) distance matters when it comes to measure the diffusion of knowledge ; 2) as suggested by Adam JAFFE (1989), technological externalities flow through R&D as well as patents. Classification JEL : C21, R12, O31. [less ▲]

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See detailUrbanization and growth
Bertinelli, Luisito UL; Black, Duncan

in Journal of Urban Economics (2004), 56(1), 80-96

In a simple urban economics framework, we aim at highlighting how the trade-off between optimal and equilibrium city size behaves when introducing dynamic human capital externalities beside the classical ... [more ▼]

In a simple urban economics framework, we aim at highlighting how the trade-off between optimal and equilibrium city size behaves when introducing dynamic human capital externalities beside the classical congestion externalities. Our purpose is to show that there are dynamic gains from oversized cities. To this end, we assume that productivity depends on human capital, which is solely accumulated in cities, such that urbanization is the engine of growth. In an empirical illustration, we highlight the link between urbanization and human capital accumulation, by focusing on cross-country panel data.<P>(This abstract was borrowed from another version of this item.) [less ▲]

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See detailLa R\&D au niveau des entreprises belges: une approche spatiale
Bertinelli, Luisito UL; Nicolini, Rosella

in Brussels Economic Review (2002), 45(4), 187-216

The main aim of this study is to analyse the spatial distribution of R\&D activity, as well as to measure whether this distribution has any impact on the location decision of innovating firms. To that ... [more ▼]

The main aim of this study is to analyse the spatial distribution of R\&D activity, as well as to measure whether this distribution has any impact on the location decision of innovating firms. To that extent, we work on firm level data. The first approach allows us to give an instantaneous representation of the spatial distribution of R\&D activity, for each sector. Clusters of R\&D activity appear to provide strong incentives for further investments in R\&D, in the same sector as well as in the same area. Moreover, our analysis allows us to measure how geographic proximity helps firms benefiting from localization/urbanization economies. Some further policy implications conclude the paper. [less ▲]

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