نتایج جستجو برای: o18

تعداد نتایج: 370  

2009
Ceren Ozgen Peter Nijkamp Jacques Poot

The Effect of Migration on Income Growth and Convergence: Meta-Analytic Evidence We compare a set of econometric studies that measure the effect of net internal migration in neoclassical models of long-run real income convergence and derive 67 comparable effect sizes. The precision-weighted estimate of beta convergence is about 2.7%. An increase in the net migration rate of a region by one perc...

2011
Michael Fritsch

This paper reviews the current state of knowledge about the effect of new business formation on regional development. After a brief sketch of the origins of research on this issue, the main results of different lines of inquiry are discussed. Main issues are the development of start-up cohorts, the relative magnitude of direct and indirect effects, and results by type of entry and by industry, ...

2011
Nick Clifton

Research on the knowledge economy has in recent years focused upon the interplay between place, individuals and creativity. National differences of how capitalism is organised can be drawn into this discussion, but are seldom tested systematically. By investigating data from the UK as a Liberal Market Economy and Sweden as a Coordinated M arket Economy, we develop and test 8 hypotheses to analy...

2009
Ceren Ozgen Peter Nijkamp Jacques Poot

The Effect of Migration on Income Growth and Convergence: Meta-Analytic Evidence We compare a set of econometric studies that measure the effect of net internal migration in neoclassical models of long-run real income convergence and derive 67 comparable effect sizes. The precision-weighted estimate of beta convergence is about 2.7%. An increase in the net migration rate of a region by one perc...

Journal: :BRQ Business Research Quarterly 2022

Sustainable Development Goals (SDGs) seek to achieve economic, social, and environmental progress globally. However, trade-offs among these three pillars might occur, particularly in the context of cities. We argue that exist because traditional factors production for economic welfare are not always relevant other dimensions city sustainability. Consequently, additional needed facilitate 2030 a...

2009
Michael Beenstock Daniel Felsenstein

Most models of regional agglomeration are based on the NEG (New Economic Geography) model in which returns to scale are pecuniary. We investigate the implications for regional agglomeration of a "Marshallian" model in which returns to scale derive from technological externalities. Workers are assumed to have heterogeneous "home region" preferences. The model is designed to explain how "second n...

2017
Danielle Cireno Fernandes Jorge Alexandre Neves

The main goal of this study is to investigate the role of the urban bias in the Brazilian development on the educational attainment process. Theories of educational inequality and socioeconomic development and modernization are considered to construct the hypotheses. The study is based on a nation-wide probability sample survey (the 1988 PNAD). OLS regression models are estimated to assess the ...

2008
Matthew A. Cole Robert J.R. Elliott Jing Zhang

In this paper we investigate the relationship between economic growth and industrial pollution emissions in China using data for 112 major cities between 2001 and 2004. Using disaggregated data we separate FDI inflows from Hong Kong, Macao and Taiwan from those of other foreign economies. We examine four industrial water pollution indicators (wastewater, chemical oxygen demand, hexavalent chrom...

2008
MICHAELA FUCHS ANTJE WEYH Michaela Fuchs Antje Weyh

We examine job creation and destruction in Eastern and Western Germany for the period of 1999 to 2004, using a large dataset, which enables us to capture clearly entries and exits. There are pronounced differences between the two parts of Germany in terms of magnitude and composition of gross job flows. Considering interaction effects between all variables, weighted regressions show that job cr...

2008
Ulrike Schneider Martin Wagner

This paper uses the adaptive Lasso estimator to determine variables important for economic growth. The adaptive Lasso estimator is a computationally very efficient procedure that simultaneously performs model selection and parameter estimation. The computational cost of this method is negligibly small compared with standard approaches in the growth regressions literature. We apply this method f...

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