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Power Generation and Structural Change: Quantifying Economic Effects of the Coal Phase-out in Germany
Katja Heinisch, Oliver Holtemöller, Christoph Schult
Energy Economics,
2021
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. We study potential economic consequences of a coal phase-out in Germany, using a multi-region dynamic general equilibrium model. Four regional phase-out scenarios before the end of 2040 are simulated. We find that the worst case phase-out scenario would lead to an increase in the aggregate unemployment rate by about 0.13 [0.09 minimum; 0.18 maximum] percentage points from 2020 to 2040. The effect on regional unemployment rates varies between 0.18 [0.13; 0.22] and 1.07 [1.00; 1.13] percentage points in the lignite regions. 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 10,100 [6300; 12,300] people by 2040. A coal phase-out until 2035 is not worse in terms of welfare, consumption and employment compared to a coal-exit until 2040.
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What Drives the Commodity-Sovereign Risk Dependence in Emerging Market Economies?
Hannes Böhm, Stefan Eichler, Stefan Gießler
Journal of International Money and Finance,
March
2021
Abstract
Using daily data for 34 emerging markets in the period 1994–2016, we find robust evidence that higher export commodity prices are associated with lower sovereign default risk, as measured by lower EMBI spreads. The economic effect is especially pronounced for heavy commodity exporters. Examining the drivers, we find that, first, commodity dependence is higher for countries that export large volumes of commodities, whereas other portfolio characteristics like volatility or concentration are less important. Second, commodity-sovereign risk dependence increases in times of recessions and expansionary U.S. monetary policy. Third, the importance of raw material prices for sovereign financing can likely be mitigated if a country improves institutions and tax systems, attracts FDI inflows, invests in manufacturing, machinery and infrastructure, builds up reserve assets and opens capital and trade accounts. Fourth, the country’s government indebtedness or amount of received development assistance appear to be only of secondary importance for commodity dependence.
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Private Debt, Public Debt, and Capital Misallocation
Behzod Alimov
IWH-CompNet Discussion Papers,
Nr. 7,
2019
Abstract
Does finance facilitate efficient allocation of resources? Our aim in this paper is to find out whether increases in private and public indebtedness affect capital misallocation, which is measured as the dispersion in the return to capital across firms in different industries. For this, we use a novel dataset containing industrylevel data for 18 European countries and control for different macroeconomic indicators as potential determinants of capital misallocation. We exploit the within-country variation across industries in such indicators as external finance dependence, technological intensity, credit constraints and competitive structure, and find that private debt accumulation disproportionately increases capital misallocation in industries with higher financial dependence, higher R&D intensity, a larger share of credit-constrained firms and a lower level of competition. On the other hand, we fail to find any significant and robust effect of public debt on capital misallocation within our country-sector pairs. We believe the distortionary effects of private debt found in our analysis needs a deeper theoretical investigation.
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What Drives the Commodity-Sovereign-Risk-Dependence in Emerging Market Economies?
Hannes Böhm, Stefan Eichler, Stefan Gießler
Abstract
Using daily data for 34 emerging markets in the period 1994-2016, we find robust evidence that higher export commodity prices are associated with higher sovereign bond returns (indicating lower sovereign risk). The economic effect is especially pronounced for heavy commodity exporters. Examining the drivers, we find, first, that commodity-dependence is higher for countries that export large volumes of volatile commodities and that the effect increases in times of recessions, high inflation, and expansionary U.S. monetary policy. Second, the importance of raw material prices for sovereign financing can likely be mitigated if a country improves institutions and tax systems, attracts FDI inflows, invests in manufacturing, machinery and infrastructure, builds up reserve assets and opens capital and trade accounts. Third, the concentration of commodities within a country’s portfolio, its government indebtedness or amount of received development assistance appear to be only of secondary importance for commodity-dependence.
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The Impact of Innovation and Innovation Subsidies on Economic Development in German Regions
Uwe Cantner, Eva Dettmann, Alexander Giebler, Jutta Günther, Maria Kristalova
Regional Studies,
Nr. 9,
2019
Abstract
Public innovation subsidies in a regional environment are expected to unfold a positive economic impact over time. The focus of this paper is on an assessment of the long-run impact of innovation and innovation subsidies in German regions. This is scrutinized by an estimation approach combining panel model and time-series characteristics and using regional data for the years 1980–2014. The results show that innovation and innovation subsidies in the long run have a positive impact on the economic development of regions in Germany. This supports a long-term strategy for regional and innovation policy.
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Power Generation and Structural Change: Quantifying
Economic Effects of the Coal Phase-out in Germany
Christoph Schult, Katja Heinisch, Oliver Holtemöller
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. We study potential economic consequences of a coal phase-out in Germany, using a multi-region dynamic general equilibrium model. Four regional phase-out scenarios before the end of 2040 are simulated. We find that the worst case phase-out scenario would lead to an increase in the aggregate unemployment rate by about 0.13 [0.09 minimum; 0.18 maximum] percentage points from 2020 to 2040. The effect on regional unemployment rates varies between 0.18 [0.13; 0.22] and 1.07 [1.00; 1.13] percentage points in the lignite regions. 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 10,100 [6,300; 12,300] people by 2040. A coal phase-out until 2035 is not worse in terms of welfare, consumption and employment compared to a coal-exit until 2040
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28.09.2017 • 36/2017
Aufschwung im Osten so stark wie in Deutschland insgesamt – Implikationen der Gemeinschaftsdiagnose Herbst 2017 für Ostdeutschland
Für das Jahr 2017 prognostiziert das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) einen Anstieg des ostdeutschen Bruttoinlandsprodukts mit Berlin um 1,9% (Gemeinschaftsdiagnose für Deutschland insgesamt ebenfalls 1,9%). Der gegenüber dem Jahr 2016 (2,1%) etwas schwächere Zuwachs der Produktion resultiert lediglich aus der geringeren Anzahl von Arbeitstagen. Auch im Jahr 2018 dürfte die ostdeutsche Wirtschaft mit 2,0% so kräftig wie in Deutschland insgesamt zulegen.
Oliver Holtemöller
Pressemitteilung lesen
Does Proximity Matter in the Choice of Partners in Collaborative R&D Projects? – An Empirical Analysis of Granted Projects in Germany
Mirko Titze, Philipp Marek, Ulrich Blum, Clemens Fuhrmeister
IWH-Diskussionspapiere,
Nr. 12,
2014
Abstract
This paper contributes to the discussion on the importance of physical distance in the emergence of cross-region collaborative Research and Development (R&D) interactions. The proximity theory, and its extensions, is used as a theoretical framework. A spatial interaction model for count data was implemented for the empirical analysis of German data from the period from 2005 to 2010. The results show that all tested proximity measurements (geographical, cognitive, social and institutional proximity) have a significant positive influence on collaboration intensity. The proximity paradox, however, cannot be confirmed for geographical, social and institutional proximity, but for cognitive proximity.
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