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  1. Determinants of pre-pandemic demand for the IMF’s concessional financing
    Author: Hills, Timothy; Nguyen, Huy; Sab, Randa
    Published: January 2021
    Publisher:  International Monetary Fund, [Washington, DC]

    This study focuses on identifying the main factors that influenced country-specific and aggregate demand for IMF concessional financing between 1986 and 2018 and makes within-period and out-of-period forecasts. We find that the external debt level,... more

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    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Unter den Linden
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    This study focuses on identifying the main factors that influenced country-specific and aggregate demand for IMF concessional financing between 1986 and 2018 and makes within-period and out-of-period forecasts. We find that the external debt level, inflation, and real effective exchange rate are the main economic variables influencing concessional borrowing for most eligible countries. Finally, our approach is able to provide quite accurate country-level and aggregate forecasts for historical financing events prior to the COVID-19 pandemic

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781513567778
    Other identifier:
    Series: IMF working paper ; WP/21, 15
    Subjects: Concessional financing; dynamic factor model; probit regression
    Scope: 1 Online-Ressource (circa 30 Seiten), Illustrationen
  2. Climate change affectedness and innovation in German firms
    Author: Horbach, Jens; Rammer, Christian
    Published: [2022]
    Publisher:  ZEW - Leibniz Centre for European Economic Research, Mannheim, Germany

    Eco-innovations are crucial for the mitigation of climate change effects. It is therefore important to know if the existing climate change regulations and carbon pricing are appropriate and sufficient to trigger such innovations. Besides government... more

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    DS 15
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    Universitätsbibliothek Mannheim
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    Eco-innovations are crucial for the mitigation of climate change effects. It is therefore important to know if the existing climate change regulations and carbon pricing are appropriate and sufficient to trigger such innovations. Besides government measures, the demand for carbon neutral products or the impacts of climate change such as extreme weather conditions leading to higher costs for the affected firms may also promote eco-innovation activities. For the first time, the new wave of the Community Innovation Survey 2020 in Germany allows an analysis of the effects of climate change policy and costs, demand for climate friendly goods and extreme weather conditions on (eco-)innovation. The results of probit and treatment effect models show that innovative firms seem to be significantly more affected by climate change measures and consequences compared to other firms. All climate change indicators are positively correlated to eco-innovations. Interestingly, other innovation activities also profit from the extent to which a firm is affected by climate change albeit the marginal effects are lower compared to eco-innovations. Demand for climate neutral products is significantly important for all eco-product-innovations.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/251952
    Series: Discussion paper / ZEW ; no. 22, 008 (04/2022)
    Subjects: Climate change; eco-innovation; Community Innovation Survey; probit regression; treatment effect models
    Scope: 1 Online-Ressource (27 Seiten), Illustrationen
  3. Determinants of pre-pandemic demand for the IMF’s concessional financing
    Author: Hills, Timothy; Nguyen, Huy; Sab, Randa
    Published: January 2021
    Publisher:  International Monetary Fund, [Washington, DC]

    This study focuses on identifying the main factors that influenced country-specific and aggregate demand for IMF concessional financing between 1986 and 2018 and makes within-period and out-of-period forecasts. We find that the external debt level,... more

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    This study focuses on identifying the main factors that influenced country-specific and aggregate demand for IMF concessional financing between 1986 and 2018 and makes within-period and out-of-period forecasts. We find that the external debt level, inflation, and real effective exchange rate are the main economic variables influencing concessional borrowing for most eligible countries. Finally, our approach is able to provide quite accurate country-level and aggregate forecasts for historical financing events prior to the COVID-19 pandemic

     
    Export to reference management software   RIS file
      BibTeX file
    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781513567778
    Other identifier:
    Series: IMF working paper ; WP/21, 15
    Subjects: Concessional financing; dynamic factor model; probit regression
    Scope: 1 Online-Ressource (circa 30 Seiten), Illustrationen