Results 151 to 160 of about 17,921 (317)

Patterns of Regional Firm Mobility in Germany: Urbanization, Suburbanization, or Counterurbanization?

open access: yesJournal of Regional Science, EarlyView.
ABSTRACT Firms are not necessarily geographically static, in fact, they sometimes move across space within an economy. We define three possible destination types for relocating firms: major cities (urbanization), urbanized districts (suburbanization), and rural districts (counterurbanization).
Benedikt Schröpf, Tim Kovalenko
wiley   +1 more source

Evaluating the Vitality of Introduced Woody Plant Species in the Donetsk-Makeyevka Urban Agglomeration. [PDF]

open access: yesPlants (Basel)
Kornienko V   +8 more
europepmc   +1 more source

Relocating to Peripheral Cities: Development and Diversity From Relocating Government Jobs

open access: yesJournal of Regional Science, EarlyView.
ABSTRACT The local labor market effects of relocating central government jobs to cities in rural municipalities is investigated by considering two small‐scale interventions by the Danish government in the mid‐2000s. We leverage the Synthetic Control Method to compare the two affected municipalities to a synthetic counterfactual.
Peter Sandholt Jensen   +2 more
wiley   +1 more source

Unveiling Spatial Dependencies — Investigating the Determinants of Firm Exit in Germany

open access: yesJournal of Regional Science, EarlyView.
ABSTRACT The determinants of firm exit in Germany, with a particular focus on the role of spatial dependence, are investigated. Using administrative microdata, a baseline probit model confirms the importance of internal firm characteristics, most notably firm size, growth dynamics, and legal form, in explaining exit probabilities.
Simon Knappe   +2 more
wiley   +1 more source

Targeting and Effectiveness of Location‐Based Policies

open access: yesJournal of Regional Science, EarlyView.
ABSTRACT This paper provides new insights into the design of effective location‐based policies. In the context of European regional policy, we apply machine learning algorithms to predict regions likely to underutilize EU funding and identify the main determinants of their low absorptive capacity.
Vincenzo Carrieri   +3 more
wiley   +1 more source

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