MNEs and Regional R&D Co-operation: Evidence from Post-Transition Economies
Andrea Gauselmann
Grincoh Working Papers,
2013
Abstract
The aim of this paper is to contribute to the literature by investigating the determinants of R&D co-operation between MNEs’ foreign subsidiaries and enterprises in the region of location, thereby leading to a better understanding which firm- and region-specific factors influence this co-operation behavior. Applying a logit model, this paper investigates which firm- and region-specific determinants influence technological cooperation between foreign subsidiaries and suppliers, customers, and research institutions in the region of location. Results suggest that especially the foreign subsidiary’s mandate in terms of R&D, its internal technological embeddedness, its technological capability but also the regional knowledge stock are positively associated with these co-operations. The analysis focuses on post-transition economies, using the example of five selected CEE countries and East Germany. We exploit a unique dataset - the IWH FDI Micro database - which holds information on 1,245 foreign subsidiaries in this region.
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Financial Constraints of Private Firms and Bank Lending Behavior
Patrick Behr, L. Norden, Felix Noth
Journal of Banking and Finance,
Nr. 9,
2013
Abstract
We investigate whether and how financial constraints of private firms depend on bank lending behavior. Bank lending behavior, especially its scale, scope and timing, is largely driven by bank business models which differ between privately owned and state-owned banks. Using a unique dataset on private small and medium-sized enterprises (SMEs) we find that an increase in relative borrowings from local state-owned banks significantly reduces firms’ financial constraints, while there is no such effect for privately owned banks. Improved credit availability and private information production are the main channels that explain our result. We also show that the lending behavior of local state-owned banks can be sustainable because it is less cyclical and neither leads to more risk taking nor underperformance.
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Taxes, Banks and Financial Stability
Reint E. Gropp
SAFE White Paper Series 6,
August
2013
Abstract
In response to the financial crisis of 2008/2009, numerous new taxes on financial institutions have been discussed or implemented around the world. This paper discusses the connection between the incidence of the taxes, their incentive effects, and policy makers’ objectives. Combining basic insights from banking theory with standard models of tax incidence shows that the incidence of such taxes will disproportionately fall on small and medium size enterprises. The arguments presented suggest it is unlikely that the taxes will have a beneficial impact on financial stability or raise significant amounts of revenue without increasing the cost of capital to bank dependent firms significantly.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay. In a simulated out-of-sample experiment we evaluate the different modelling strategies conditional on the given state of information and depending on the model averaging technique. The proposed approach is computationally simple and can be easily implemented as a nowcasting tool. Finally, this method also allows retracing the driving forces of the forecast and hence enables the interpretability of the forecast outcome.
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Towards a Theory of Climate Innovation - A Model Framework for Analyzing Drivers and Determinants
Wilfried Ehrenfeld
Journal of Evolutionary Economics,
2013
Abstract
In this article, we describe the results of a multiple case study on the indirect corporate innovation impact of climate change in the Central German chemical industry. We investigate the demands imposed on enterprises in this context as well as the sources, outcomes and determining factors in the innovative process at the corporate level. We argue that climate change drives corporate innovations through various channels. A main finding is that rising energy prices were a key driver for incremental energy efficiency innovations in the enterprises’ production processes. For product innovation, customer requests were a main driver, though often these requests are not directly related to climate issues. The introduction or extension of environmental and energy management systems as well as the certification of these are the most common forms of organizational innovations. For marketing purposes, the topic of climate change was hardly utilized so far. As the most important determinants for corporate climate innovations, corporate structure and flexibility of the product portfolio, political asymmetry regarding environmental regulation and governmental funding were identified.
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The GVAR Handbook: Structure and Applications of a Macro Model of the Global Economy for Policy Analysis
Filippo di Mauro, M. Hashem Pesaran
Oxford University Press,
2013
Abstract
The recent crisis has shown yet again how the world economies are globally interlinked, via a complex net of transmission channels. When it comes, however, to build econometric frameworks aimed at analysing such linkages, modellers are faced with what is called the "curse of dimensionality": there far too many parameters to be estimated with respect to the available observations. The GVAR, a VAR based model of the global economy, offers a solution to this problem. The basic model is composed of a large number of country specific models, comprising domestic, foreign and purely global variables. The foreign variables, however, are treated as weakly exogenous. This assumption, which is typically held when empirically tested for virtually all economies - with the notable exception of the US which is treated differently - allows to estimate first the individual country models separately. Only in a second stage country-specific models are simultaneously solved, thus allowing global interactions.This volume presents - for a first time in a compact and rather easy to read format - principles and structure of the basic GVAR model and a number of its many applications and extensions developed in the last few years by a growing literature. Its main objective is to show how powerful the model can be as a tool for forecasting and scenario analysis. The clear modelling structure of the GVAR appeals to policy makers and practitioners as shown by its growing use among major institutions, as well as by econometricians, as shown by the main extensions and applications.
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FDI Micro Database – Methodological Note – Survey 2012 in East Germany
Jutta Günther, Andrea Gauselmann, Björn Jindra, Philipp Marek, Jan Engelhardt
Einzelveröffentlichungen,
2012
Abstract
With the integration of post-communist countries into the European and global economy
after 1990, there was strong research interest into the role of multinational enterprises
(MNEs) for economic restructuring and technological catching-up. Most of the existing
empirical studies on locational determinants of FDI and host country effects did not take
account of East Germany. This might be for different reasons: Firstly, theoretical and
empirical difficulties derive from the fact that East Germany followed a distinct transition
pattern as it became a region subsumed in a larger and more mature economy. Secondly,
East Germany received private investment from foreign as well as West German firms. Only
the first can be considered as a foreign direct investment (FDI). Finally, there had long been
a lack of micro data to adequately analyse the activities of corresponding firms from a
production as well as technological perspective.
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Monetary Policy in a World Where Money (Also) Matters
Makram El-Shagi, Sebastian Giesen
IWH Discussion Papers,
Nr. 6,
2012
Abstract
While the long-run relation between money and inflation as predicted by the quantity theory is well established, empirical studies of the short-run adjustment process have been inconclusive at best. The literature regarding the validity of the quantity theory within a given economy is mixed. Previous research has found support for quantity theory within a given economy by combining the P-Star, the structural VAR and the monetary aggregation literature. However, these models lack precise modelling of the short-run dynamics by ignoring interest rates as the main policy instrument. Contrarily, most New Keynesian approaches, while excellently modeling the short-run dynamics transmitted through interest rates, ignore the role of money and thus the potential mid-and long-run effects of monetary policy. We propose a parsimonious and fairly unrestrictive econometric model that allows a detailed look into the dynamics of a monetary policy shock by accounting for changes in economic equilibria, such as potential output and money demand, in a framework that allows for both monetarist and New Keynesian transmission mechanisms, while also considering the Barnett critique. While we confirm most New Keynesian findings concerning the short-run dynamics, we also find strong evidence for a substantial role of the quantity of money for price movements.
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