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    Meta-Analyse angewandter Gleichgewichtsmodelle des internationalen Agrarhandels

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    Author(s)
    Hess, Sebastian
    Language
    German
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    Abstract
    Quantitative partielle- oder allgemeine Gleichgewichtsmodelle stellen in der angewandten Ökonomie ein wichtiges Instrument zur Politikfolgenabschätzung dar. Aus wissenschaftlicher Sicht wird an diesen Modellen ihre mangelnde Transparenz sowie ihre Abhängigkeit von empirisch wenig gesicherten Parametern und Annahmen kritisiert. Mittels einer Meta-Analyse werden daher Studien untersucht, welche Politikfolgen der laufenden WTO-Verhandlungen (Doha-Runde) simuliert haben. Als zentrales Ergebnis zeigt sich, dass die erhebliche Varianz innerhalb simulierter regionaler Einkommensveränderungen durch vergleichsweise wenige, ermittelbare Variablen zu einem hohen Anteil erklärt werden kann. Die Ergebnisse der Meta-Regression können daher als Orientierungshilfe bei Vergleich und Bewertung existierender sowie zukünftiger Simulationsstudien dienen.
    URI
    http://library.oapen.org/handle/20.500.12657/26714
    Keywords
    Agrarhandel; Agrarhandels; Analyse; angewandter; Gleichgewichtsmodell; Gleichgewichtsmodelle; Gleichsgew; Hess; internationalen; Meta; Response Surface; WTO Doha Runde
    DOI
    10.3726/b14163
    ISBN
    9783631756942
    OCN
    1083009266
    Publisher
    Peter Lang International Academic Publishers
    Publisher website
    https://www.peterlang.com/
    Publication date and place
    Bern, 2018
    Series
    cege-Schriften, 15
    Classification
    Economic theory and philosophy
    International economics
    Development economics and emerging economies
    Agriculture, agribusiness and food production industries
    Agricultural science
    Pages
    192
    Rights
    https://creativecommons.org/licenses/by/4.0/legalcode
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    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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