Power Generation and Structural Change: Quantifying
Economic Effects of the Coal Phase-out in Germany
Christoph Schult, Katja Heinisch, Oliver Holtemöller
IWH Discussion Papers,
Nr. 16,
2019
Abstract
In the fight against global warming, the reduction of greenhouse gas emissions is a major objective. In particular, a decrease in electricity generation by coal could contribute to reducing CO2 emissions. Using a multi-region dynamic general equilibrium model, this paper studies potential economic consequences of a coal phase-out in Germany. Different regional phase-out scenarios are simulated with varying timing structures. We find that a politically induced coal phase-out would lead to an increase in the national unemployment rate by about 0.10 percentage points from 2020 to 2040, depending on the specific scenario. The effect on regional unemployment rates varies between 0.18 to 1.07 percentage points in the lignite regions. However, a faster coal phase-out can lead to a faster recovery. The coal phase-out leads to migration from German lignite regions to German non-lignite regions and reduces the labour force in the lignite regions by 10,000 people by 2040.
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Zu den Effekten eines beschleunigten Braunkohleausstiegs auf Beschäftigung und regionale Arbeitnehmerentgelte
Oliver Holtemöller, Christoph Schult
Wirtschaft im Wandel,
Nr. 1,
2019
Abstract
Ohne weitere staatliche Maßnahmen können die Klimaschutzziele der Bundesregierung nicht erreicht werden. Eine Möglichkeit, Emissionen zu reduzieren, ist der Ausstieg aus der Braunkohleverbrennung. Die Braunkohlenwirtschaft zahlt allerdings doppelt so hohe Löhne im Vergleich zum durchschnittlichen Lohnniveau. Der Braunkohleausstieg wird voraussichtlich Einkommenseinbußen und Abwanderung aus den Braunkohleregionen mit sich bringen.
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What Type of Finance Matters for Growth? Bayesian Model Averaging Evidence
Iftekhar Hasan, Roman Horvath, Jan Mares
The World Bank Economic Review,
Nr. 2,
2018
Abstract
We examine the effect of finance on long-term economic growth using Bayesian model averaging to address model uncertainty in cross-country growth regressions. The literature largely focuses on financial indicators that assess the financial depth of banks and stock markets. We examine these indicators jointly with newly developed indicators that assess the stability and efficiency of financial markets. Once we subject the finance-growth regressions to model uncertainty, our results suggest that commonly used indicators of financial development are not robustly related to long-term growth. However, the findings from our global sample indicate that one newly developed indicator—the efficiency of financial intermediaries—is robustly related to long-term growth.
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Die wirtschaftliche Entwicklung Sachsen-Anhalts seit 1990
Oliver Holtemöller, Axel Lindner
IWH Discussion Papers,
Nr. 6,
2018
Abstract
In diesem Beitrag wird die wirtschaftliche Entwicklung Sachsen-Anhalts seit 1990 im Kontext des ostdeutschen Transformationsprozesses von einer Zentralverwaltungswirtschaft zu einer Marktwirtschaft beschrieben. Die wirtschaftliche Leistungsfähigkeit Sachsen-Anhalts hat in den frühen 1990er Jahren zunächst schnell gegenüber Westdeutschland aufgeholt, vor allem weil der Kapitalstock modernisiert und erweitert worden ist. Seit einiger Zeit stagniert der Aufholprozess jedoch, und das Bruttoinlandsprodukt je Erwerbstätigen liegt etwa 20% unter dem westdeutschen Niveau. Die wirtschaftspolitische Herausforderung besteht darin, den Aufholprozess durch die Förderung von Forschung und Innovation und durch bessere Qualifizierung der Erwerbstätigen weiter voranzubringen.
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On Mitra's Sufficient Condition for Topological Chaos: Seventeen Years Later
Liuchun Deng, M. Ali Khan
Economics Letters,
March
2018
Abstract
This letter reports an easy extension of Mitra’s “easily verifiable” sufficient condition for topological chaos in unimodal maps, and offers its application to reduced-form representations of two economic models that have figured prominently in the recent literature in economic dynamics: the check- and the M-map pertaining to the 2-sector Robinson–Solow–Srinivasan (RSS) and Matsuyama models respectively. A consideration of the iterates of these maps establishes the complementarity of the useful 2001 condition with the 1982 (LMPY) theorem of Li–Misiurewicz–Pianigiani–Yorke when supplemented by a geometric construction elaborated in Khan–Piazza (2011).
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FDI, Human Capital and Income Convergence — Evidence for European Regions
Dominik Völlmecke, Björn Jindra, Philipp Marek
Economic Systems,
Nr. 2,
2016
Abstract
This study examines income convergence in regional GDP per capita for a sample of 269 regions within the European Union (EU) between 2003 and 2010. We use an endogenous broad capital model based on foreign direct investment (FDI) induced agglomeration economies and human capital. By applying a Markov chain approach to a new dataset that exploits micro-aggregated sub-national FDI statistics, the analysis provides insights into regional income growth dynamics within the EU. Our results indicate a weak process of overall income convergence across EU regions. This does not apply to the dynamics within Central and East European countries (CEECs), where we find indications of a poverty trap. In contrast to FDI, regional human capital seems to be associated with higher income levels. However, we identify a positive interaction of FDI and human capital in their relation with income growth dynamics.
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