Cilt:20 Sayı:01 (2021)

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https://dspace.ankara.edu.tr/handle/20.500.12575/84030

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Browsing Cilt:20 Sayı:01 (2021) by Author "Siyasal Bilgiler Fakültesi"

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    DIGITAL RESPONSE TO COVID-19 INFECTED ECONOMY: A EUROPEAN UNION PERSPECTIVE
    (Ankara Üniversitesi, 2021) Olcay, Ceran Arslan; Genç, Özlem; İktisat; Siyasal Bilgiler Fakültesi
    Since January 2020, the world has been experiencing an unexpected pandemic which has affected people around the world both economically and socially. Mostly the demands of people, for goods and services were provided through online shopping; besides, working from home, public & private transactions were made possible by digital opportunities. Now, we are experiencing the time for testing digital instruments for economic recovery. In this study, response and potential of digitization for economic recovery will be assessed by taking the European Union (EU) case. As a response to the crisis, the EU has prioritized digitization as a tool for recovering from economic effects of COVID 19. In this study, the approach of the EU for the mitigation of “COVID infected” economy will be evaluated.
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    INTERACTION BETWEEN CREDIT LENDING AND HOUSE PRICES IN THE EUROPEAN UNION: AN ASSESSMENT OF SOVEREIGN DEBT CRISIS COUNTRIES
    (Ankara Üniversitesi, 2021) Akçay, Belgin; Beale, Tina; İktisat; Siyasal Bilgiler Fakültesi
    The existing literature indicates developments in either the housing markets or the credit markets can influence the whole financial sector or even the economy due to the close relationship between both markets. With an increasing dependency on the domestic financial markets to international financial markets caused by an increasing financial liberalisation degree, this relationship has strengthened significantly in many countries. This study aims at examining the interaction between credit lending and house prices for the Eurozone and the sovereign debt crisis countries of the EU (the GIIPS) at the cross-country and country levels, respectively. To do this, the vector autoregressibe (VAR) approach is followed. The findings show credit lending, not house prices are decisive in the interaction between credit and house prices for all samples.