Съдържанието не е налично на български език.
Arne J. Nagengast
- 6 June 2016
- WORKING PAPER SERIES - No. 1914Details
- Abstract
- We show that credit supply shocks have a strong impact on firm-level as well as aggregate investment by applying the methodology developed by Amiti and Weinstein (2013) to a rich dataset of matched bank-firm loans in the Portuguese economy for the period 2005 to 2013. We argue that their decomposition framework can also be used in the presence of small firms with only one banking relationship as long as they account for only a small share of the total loan volume of their banks. The growth rate of individual loans in our dataset is decomposed into bank, firm, industry and common shocks. Adverse bank shocks are found to impair firm-level investment in all firms in our sample, but in particular for small firms and those with no access to alternative financing sources. For the economy as a whole, granular shocks in the banking system account for around 20-40% of aggregate investment dynamics.
- JEL Code
- E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G32 : Financial Economics→Corporate Finance and Governance→Financing Policy, Financial Risk and Risk Management, Capital and Ownership Structure, Value of Firms, Goodwill - Network
- Competitiveness Research Network
- 28 January 2016
- OCCASIONAL PAPER SERIES - No. 167Details
- Abstract
- Although monetary union created the conditions for improving economic and financial integration in the euro area, in the context of the financial and sovereign crises, it has also been accompanied by the emergence of severe imbalances in savings and investment, credit and housing booms in some countries and the allocation of resources towards less productive sectors. The global financial crisis and the euro area sovereign debt crisis then led to major and abrupt adjustments as the risks posed by the large imbalances materialised. Although the institutional shortcomings in the EU that permitted the emergence of imbalances have been largely addressed since 2008, the adjustment process is not yet complete. From a macroeconomic perspective, the imbalances in the external accounts have led to the accumulation of high levels of external liabilities that need to be reduced, which, in turn, is weakening investment and therefore weighing on growth prospects and growth potential. From a macroprudential perspective, the lingering imbalances have added to systemic risk and rendered the euro area more vulnerable to risks. This Occasional Paper analyses the dynamic patterns in macroeconomic imbalances primarily from the former perspective, addressing in particular the connections between macroeconomic and sectoral adjustments of imbalances and the challenges for economic growth and performance over a longer horizon.
- JEL Code
- E21 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Consumption, Saving, Wealth
E22 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Capital, Investment, Capacity
F32 : International Economics→International Finance→Current Account Adjustment, Short-Term Capital Movements
F41 : International Economics→Macroeconomic Aspects of International Trade and Finance→Open Economy Macroeconomics
- 15 July 2015
- WORKING PAPER SERIES - No. 1833Details
- Abstract
- This paper studies the great collapse in value added trade using a structural decomposition analysis. We show that changes in vertical specialisation accounted for almost half of the great trade collapse, while the previous literature on gross trade has mainly focused on final expenditure, inventory adjustment and adverse credit supply conditions. The decline in international production sharing during the crisis may partially account for the observed decrease in global trade elasticities in recent years. Second, we find that the drop in the overall level of demand accounted for roughly a quarter of the decline in value added exports while just under one third was due to compositional changes in final demand. Finally, we demonstrate that the dichotomy between services and manufacturing sectors observed in gross exports during the great trade collapse is not apparent in value added trade data.
- JEL Code
- F1 : International Economics→Trade
F2 : International Economics→International Factor Movements and International Business
C67 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→Input?Output Models
R15 : Urban, Rural, Regional, Real Estate, and Transportation Economics→General Regional Economics→Econometric and Input?Output Models, Other Models
- 22 July 2014
- WORKING PAPER SERIES - No. 1695Details
- Abstract
- One of the main stylised facts that has emerged from the recent literature on global value chains is that bilateral trade imbalances in gross terms can differ substantially from those measured in value added terms. However, the factors underlying the extent and sign of the differences between the two measures have so far not been investigated. Here, we propose a novel decomposition of bilateral gross trade balances that accounts for the differences between gross and value added concepts. The bilateral analysis contributes conceptually to the literature on double counting in trade by identifying the trade flow in which value added is actually recorded for the first time in international trade statistics. We apply our decomposition framework to the development of intra-EU27 trade balances from 1995-2011 and show that a growing share of intra-EU bilateral trade balances is due to demand in countries other than the two direct trading partners.
- JEL Code
- F1 : International Economics→Trade
F2 : International Economics→International Factor Movements and International Business
C67 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→Input?Output Models
R15 : Urban, Rural, Regional, Real Estate, and Transportation Economics→General Regional Economics→Econometric and Input?Output Models, Other Models - Network
- Competitiveness Research Network