eng
ERSA
REGION
2409-5370
2015-02-13
2
1
R1
R2
10.18335/region.v2i1.72
9
Database
Capital stock in Spain and its distribution by territories (1964-2012)
Matilde Mas
matilde.mas@ivie.es
0
Francisco Perez
francisco.perez@ivie.es
0
Ezequiel Uriel
ezequiel.uriel@ivie.es
0
University of Valencia and Ivie
Since 1995 the BBVA Foundation and the Ivie have been
conducting an extensive research program on Spanish
economic growth. The regularly-updated database
"Capital stock in Spain and its distribution by territories"
are the basis of this program, providing information
on the accumulation of capital in Spain over the last
four decades.
http://openjournals.wu.ac.at/ojs/index.php/region/article/view/72
electronic mapping
GIS
OpenStreetMap
OpenLayers
economic database
eng
ERSA
REGION
2409-5370
2015-05-21
2
1
Y1
Y16
10.18335/region.v2i1.66
19
Econometric Analysis; Conditional Demand Model
Regional determinants of residential energy expenditures and the principal-agent problem in Austria
Daniel R. Hill
drhill016@gmail.com
0
Vienna University of Economics and Business
The aim of this paper is two-fold: 1) to examine the
determinants of residential energy expenditures
and compare them on a regional level; and, 2) attempt
to identify and measure the effect of possible principal-agent
(PA) problems on residential energy efficiency
in Austria. The results of this paper are partially
based on findings from a masters thesis, which focused
more directly on the PA problem. This paper expands
on those results to include regional aspects in energy
expenditures. A conditional demand model is regressed
on a large number of variables representing housing
characteristics, socio-economic factors, occupancy
type, and regional characteristics sourced from
the EU Statistics on Income and Living Conditions
dataset. The analysis indicates that significant
regional differences exist in the determinants
of residential energy expenditures and that PA problems
appear to be unimportant to energy efficiency in
Austria, even at the regional level. It concludes
with some possible explanations as to why this is
the case.
http://openjournals.wu.ac.at/ojs/index.php/region/article/view/66
energy efficiency
principal-agent
split incentives
regional aspects
eng
ERSA
REGION
2409-5370
2015-06-22
2
1
E1
E2
10.18335/region.v2i1.84
22
Why you should publish open access
Gunther Maier
gunther.maier@wu-wien.ac.at
0
WU - Vienna University of Economics and Business
This editorial discusses the difference between
creative common and commercial licenses from the
point of view of the author of an article.
http://openjournals.wu.ac.at/ojs/index.php/region/article/view/84
Publishing
Open Access
Law
eng
ERSA
REGION
2409-5370
2015-03-27
2
1
1
31
10.18335/region.v2i1.34
12
Exploratory Data Analysis, Econometric Analysis
Uncovering Norways regional disparities with respect to natural riches
Sevil Acar
sevil.acar@kemerburgaz.edu.tr
0
Burhan Can Karahasan
bckarahasan@pirireis.edu.tr
1
Piri Reis University
This study aims at unveiling regional development
differences in Norway with respect to various natural
resource-based activities that take place in the
NUTS 3 regions. Norways natural riches range from
agricultural and forest resources to fisheries,
mines, petroleum and gas. Considering the possible
spatial links for various regional characteristics
of the Norwegian economy, this study does not only
reveal the wide-ranging distribution of resource-based
activities, but also sheds light on divergent income
and population patterns in the Norwegian regions.
Besides, these patterns are investigated through
a number of models that test the impact of employment,
investment and value added in natural resource sectors
on regional differences. The main findings suggest
that mining and quarrying as well as oil and gas extraction
activities generate significant advantages for
regional income generation whereas each resource
type affects the distribution of population in a
different way.
http://openjournals.wu.ac.at/ojs/index.php/region/article/view/34
natural resources
regional development
panel data analysis
eng
ERSA
REGION
2409-5370
2015-04-17
2
1
R3
R4
10.18335/region.v2i1.77
16
data
Human capital in Spain and its distribution by provinces (1964-2013)
Lorenzo Serrano
lorenzo.serrano@ivie.es
0
Ángel Soler
angel.soler@ivie.es
0
The regularly-updated database Human capital
in Spain and its distribution by provinces provides
information about the accumulation of human capital
in Spain over the last five decades. The human capital
estimates included in this database contain a wide
range of information on how education levels in Spain
have evolved, classified according to the level
of studies completed and other human capital indicators.
The database includes information that has been
updated until the second trimester of 2013. It can
be accessed at http://www.ivie.es/en/banco/caphum/series.php.
http://openjournals.wu.ac.at/ojs/index.php/region/article/view/77
human capital
education
eng
ERSA
REGION
2409-5370
2015-04-15
2
1
33
53
10.18335/region.v2i1.24
15
Econometric Analysis; IV
Agglomeration effects on labor productivity: An assessment with microdata
Stephan Brunow
stephan.brunow@iab.de
0
Uwe Blien
uwe.blien@iab.de
1
Institute for Employment Research (IAB)
Urbanization and localization effects are known
to boost the regional economy and its growth potential.
The emergence of these effects is due to localized
knowledge flows, the closeness to markets, but also
due to the diversity of services and industries.
All these effects have the potential to increase
the productivity (and profitability) of firms.
Whereas many studies have been conducted at the industry
or the regional level, this paper adds to the existing
literature by starting at the level of establishments
and taking the interaction with the surrounding
regions into account. This is possible by exploiting
an exceptionally large establishment panel study
and the employment statistics for Germany. The empirical
analyses are carried out in two steps regressions
in order to separate the characteristics of establishments
from regional influences.
http://openjournals.wu.ac.at/ojs/index.php/region/article/view/24
agglomeration externalities
Knowledge Spillover
Labor Productivity
Firm Level
eng
ERSA
REGION
2409-5370
2015-05-22
2
1
Y17
Y25
10.18335/region.v2i1.79
20
Econometric Analysis
Concentration of Resources and Economic Growth
David Castells-Quintana
dcastells@ub.edu
0
Universidad de Barcelona
In this letter I summarise the main results and contributions
from my Ph.D. thesis on concentration of resources
and economic development. The empirical analysis
performed in the thesis, and summarised here, focuses
on two mayor world trends in modern economic development,
namely increasing agglomeration and rising inequalities
within countries. In particular, the impact of both
trends on long-run economic growth is studied, and
results are discussed in light of relevant policy
debate.
http://openjournals.wu.ac.at/ojs/index.php/region/article/view/79
concentration
inequality
agglomeration
growth
development
eng
ERSA
REGION
2409-5370
2015-04-24
2
1
R5
R6
10.18335/region.v2i1.76
17
data
Personal Income and its Distribution in Spanish municipalities
Miriam Hortas-Rico
miriamhortas@ccee.ucm.es
0
Jorge Onrubia
jorge.onrubia@ccee.ucm.es
0
This resource describes a data source for local personal
income and its distribution in Spanish municipalities.
http://openjournals.wu.ac.at/ojs/index.php/region/article/view/76
local income distribution
Personal Income Tax returns
income inequality
top incomes
Spanish municipalities.
eng
ERSA
REGION
2409-5370
2015-05-01
2
1
55
66
10.18335/region.v2i1.32
18
A multilevel path analysis of social networks and social interaction in the neighbourhood
Pauline van den Berg
p.e.w.v.d.berg@tue.nl
0
Harry Timmermans
h.j.p.timmermans@tue.nl
1
Eindhoven University of Technology
The topic of neighbourhood-based social interactions
has gained attention in the last decades in the light
of urban policies that aim to deal with problems regarding
social segregation and exclusion, quality of life
and liveability in urban areas. Social interactions
are expected to play an important role in dealing
with these problems. However, empirical studies
investigating to which extent neighbourhood characteristics
can improve social contacts among residents are
scarce and inconclusive. Therefore, this paper
studies the role of socio-demographics and neighbourhood
characteristics in the formation of social network
ties and social interactions with neighbours. Based
on data collected in 2011 in 70 different neighbourhoods
of Eindhoven in the Netherlands in a survey among
751 respondents these relationships are analysed
using a multi-level path analysis approach. The
results indicate that neighbourhood-based contacts
are influenced by personal and household characteristics,
such as education, income, work status, ethnicity,
household composition, and years at the current
address. Neighbourhood characteristics are not
found to affect social network size, the share of
neighbours in the network or the frequency of interaction
with neighbours.
http://openjournals.wu.ac.at/ojs/index.php/region/article/view/32
local income distribution
Personal Income Tax returns
income inequality
top incomes
Spanish municipalities.
eng
ERSA
REGION
2409-5370
2015-06-15
2
1
67
93
10.18335/region.v2i1.63
21
Case Study; Econometric Analysis
Forecasting jobs location choices by Discrete Choice Models: A sensitivity analysis to scale and implications for LUTI models
Jonathan Jones
jonathan.jones@uclouvain.be
0
Isabelle Thomas
isabelle.thomas@uclouvain.be
1
Dominique Peeters
dominique.peeters@uclouvain.be
0
Université Catholique de Louvain
This paper proposes an empirical analysis of the
sensitivity of Discrete Choice Model (DCM) to the
size of the spatial units used as choice set (which
relates to the well-known Modifiable Areal Unit
Problem). Job's location choices in Brussels (Belgium)
are used as the case study. DCMs are implemented within
different Land Use and Transport Interactions (LUTI)
models (UrbanSim, ILUTE) to forecast jobs or household
location choices. Nevertheless, no studies have
assessed their sensitivity to the size of the Basic
Spatial Units (BSU) in an urban context. The results
show significant differences in parameter estimates
between BSUs. Assuming that new jobs are distributed
among the study area proportionally to the utility
level predicted by the DCM for each BSU (as in a LUTI
model), it is also demonstrated that the spatial
distribution of these new jobs varies with the size
of the BSUs. These findings mean that the scale of
the BSU used in the model can influence the output
of a LUTI model relying on DCM to forecast location
choices of agents and, therefore, have important
operational implications for land-use planning.
http://openjournals.wu.ac.at/ojs/index.php/region/article/view/63
Discrete Choice Models
Scale
Brussels