28.02.2023 • 5/2023
Presseeinladung zur Konferenz: „Steigende Energiepreise – Wie kann der Umbau der deutschen Wirtschaft gelingen?“ am 9. März 2023 am IWH
Die Folgen von Krieg und Klimakrise fordern Deutschlands Unternehmen heraus. Wie der Wandel inmitten einer Energiekrise erfolgreich gestaltet werden kann, diskutiert eine Konferenz am Leibniz-Institut für Wirtschaftsforschung Halle (IWH) mit Gästen aus Wissenschaft, Politik und Industrie. Es sprechen unter anderem die Wirtschaftsweise Veronika Grimm und Sachsen-Anhalts Vize-Ministerpräsident Armin Willingmann.
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14.09.2021 • 23/2021
Production bottlenecks delay recovery
The German recovery made good progress over the summer 2021. However, bottlenecks in sea transport and the production of intermediate goods are weighing on world trade. The rise in raw material prices has prompted inflation rates to spike, and an increase in new infections is clouding the outlook again. A weak final quarter is therefore to be expected. The Halle Institute for Economic Research (IWH) forecasts that German gross domestic product (GDP) will increase by 2.2% in 2021 and 3.6% in 2022 (East Germany: 1.8% and 2.8%).
Oliver Holtemöller
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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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11.03.2021 • 8/2021
New wave of infections suspends economic recovery
The lockdown is being eased only slightly in Germany in March 2021, and gross domestic product (GDP) declines significantly in the first quarter of 2021. As vaccination campaigns progress and restrictions are gradually eased, a normalisation of household consumption patterns will likely boost the economy later during the year. The Halle Institute for Economic Research (IWH) forecasts that GDP will increase by 3.7% in 2021, following a decline of 4.9% in 2020. In East Germany, both the contraction and the rebound are much less pronounced.
Oliver Holtemöller
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01.02.2021 • 4/2021
During Corona, households are saving more – not for fear of unemployment but for lack of spending opportunities
During the Corona crisis, European households increased their savings dramatically. According to an analysis carried out by the Halle Institute for Economic Research (IWH), the increase in savings is largely due to the inability of households to consume in the face of government lockdown measures, rather than other factors such as economic uncertainty. IWH President Reint Gropp therefore sees potential for a significant catch-up effect in consumption as soon as the lockdown is lifted.
Reint E. Gropp
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Kommentar: Ohne Konsumverzicht keine CO2-Reduktion – auch, wenn man auf Innovation setzt
Oliver Holtemöller
Wirtschaft im Wandel,
No. 2,
2020
Abstract
In der Diskussion über die deutsche Klimapolitik steht häufig die Frage im Mittelpunkt, mit welchen Instrumenten sich eine Reduktion der CO2-Emissionen am wirksamsten erreichen lässt. So werden etwa die Vorund Nachteile von CO2-Steuern im Vergleich zur Versteigerung von CO2-Zertifikaten und die Reihenfolge der Abschaltung von Braunkohlekraftwerken diskutiert. Neben diesen eher mikroökonomischen Aspekten hat die Klimapolitik weitreichende makroökonomische Konsequenzen.
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30.01.2020 • 1/2020
Alterung, Braunkohleausstieg und Klimapaket: Finanzpolitische Konsequenzen in Deutschland bis 2024
Nach der Mittelfristprojektion des Leibniz-Instituts für Wirtschaftsforschung Halle (IWH) wird das Wachstum in Deutschland in den Jahren bis 2024 aufgrund der bald sinkenden Erwerbsbevölkerung spürbar zurückgehen. Dies wird sich auch bei den Staatseinnahmen niederschlagen, und strukturschwache Regionen dürften davon besonders stark betroffen sein. Diese regionalen Effekte werden zwar durch Umverteilungsmechanismen abgefedert, aber nicht völlig ausgeglichen. Regionen mit schrumpfender Erwerbsbevölkerung müssen sich auf einen sinkenden finanziellen Spielraum einstellen. Oliver Holtemöller, Leiter der Abteilung Makroökonomik und Vizepräsident des IWH, ergänzt: „Der beschleunigte Braunkohleausstieg wird diesen Prozess verstärken, das Klimapaket der Bundesregierung hat hingegen vergleichsweise geringe Auswirkungen auf die öffentlichen Finanzen.“
Oliver Holtemöller
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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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27.06.2019 • 15/2019
Presseeinladung zum Workshop: Gemeinsame Pressekonferenz von Creditreform und dem Leibniz-Institut für Wirtschaftsforschung Halle am 2. Juli 2019 in Halle (Saale)
Die konjunkturelle Entwicklung hat sich in den letzten Monaten deutlich abgekühlt. Bislang sind vor allem Industrie und Exportwirtschaft betroffen. Bleibt der Mittelstand der Stabilitätsanker der Konjunktur in Sachsen-Anhalt? Wie schätzen die Unternehmen die Geschäftslage ein? Haben sich die Rahmenbedingungen in puncto Fachkräfteangebot und Breitbandinternet zuletzt verbessert?
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Network Positioning, Co-Location or Both?
Muhamed Kudic
Innovation Networks in the German Laser Industry. Springer Cham,
2015
Abstract
Previous research indicates that firm innovativeness can either be determined by a firm’s position within the network dimension or by its position within the geographical dimension. Integrative studies addressing both distinct and combined proximity effects remains rare (cf. Whittington et al. 2009). Thus, we address in this Chapter the following research question: Are firm-level innovation outcomes positively or negatively related to network positioning effects, geographical co-location effects or combined proximity effects; and if the latter case is true, are the combined effects substitutional or complementary in nature? Panel data count models with fixed and random effects were used to analyze a firm’s innovative performance as measured by patent application counts. This last empirical analysis is organized as follows: We start with a short introduction in Sect. 12.1. Next, we provide a brief discussion of theoretical background in Sect. 12.2. In Sect. 12.3 we introduce our conceptual framework and derive our hypotheses. In Sect. 12.4 we introduce the data and methods used. Next, we outline the estimation strategy and report our empirical results in Sect. 12.5. Finally, we discuss our findings and conclude with a number of critical remarks in Sect. 12.6.
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