Governmental Learning as a Determinant of Economic Growth
Marina Grusevaja
IWH Discussion Papers,
No. 23,
2010
Abstract
Systemic economic transition is a process of determined radical institutional change, a process of building new institutions required by a market economy. Nowadays, the experience of transition countries with the implementation of new institutions could be reviewed as a method of economic development that despite similar singular steps has different effects on the domestic economic performance. The process of institutional change towards a market economy is determined by political will, thus the government plays an important role in carrying out the economic reforms. Among the variety of outcomes and effects the attention is drawn especially to economic growth that diverges significantly in different post-transition countries. The paper attempts to shed light upon the problem on the basis of institutional economics, of economics of innovation and partially of political economy of growth using an evolutionary, process-oriented perspective. In this context the issue central to the promotion of economic growth is the successful implementation of new institutions through governmental activities. The paper shows that under the conditions of bounded rationality and radical uncertainty economic growth is determined, inter alia, by the capacity for governmental learning.
Read article
Sind Innovatoren erfolgreicher als Nicht-Innovatoren? Eine empirische Analyse für das Verarbeitende Gewerbe in Deutschland
A. Crimmann, K. Evers, Jutta Günther, Katja Guhr, Marco Sunder
Wirtschaft im Wandel,
No. 10,
2010
Abstract
Innovationen gelten als Triebfeder der wirtschaftlichen Entwicklung und der betrieblichen Wettbewerbsfähigkeit. Von besonderem Interesse sind Produkte, die ein Unternehmen erstmals in den Markt einführt bzw. für die das Unternehmen einen neuen Markt erschließen muss. Diese Innovationen bezeichnet man als Marktneuheiten. Aus ökonomischer Sicht stellt sich die Frage, ob Unternehmen, die solche Marktneuheiten hervorbringen, erfolgreicher sind als nicht innovierende Unternehmen. Als Erfolgsindikatoren lassen sich die Entwicklung der Beschäftigung, des Umsatzes, des Gewinns und der Ertragslage heranziehen. Die zu vergleichenden innovierenden und nicht innovierenden Unternehmen sollten aber in ihren sonstigen betrieblichen Merkmalen (wie der Größe oder Branche) auch tatsächlich miteinander vergleichbar sein. Dies wird mit einem Matching-Verfahren erreicht. Die Ergebnisse der mit dem IAB-Betriebspanel für das Verarbeitende Gewerbe durchgeführten Analyse zeigen, dass sich im Durchschnitt die innovierenden Betriebe in den Neuen Ländern im Vergleich zu nicht innovierenden Betrieben durch einen Vorsprung bei der Entwicklung von Beschäftigung und Umsatz auszeichnen. Dieser Abstand ist bei Betrieben in Ostdeutschland etwas größer als bei Betrieben in den Alten Bundesländern. Mit Blick auf die Produktivitätsentwicklung und die Ertragslage finden sich keine statistisch belastbaren Unterschiede zwischen Innovatoren und Nicht-Innovatoren. Die Ergebnisse stellen die hohe Bedeutung von Innovationen für die wirtschaftliche Entwicklung und Wettbewerbsfähigkeit nicht infrage. Sie liefern aber einen Hinweis darauf, dass – bezogen auf Marktneuheiten – auch nicht innovierende Unternehmen (zumindest mittelfristig) Wege finden, sich in ihrer betrieblichen Performance zu behaupten.
Read article
Analyzing Innovation Drivers in the German Laser Industry: the Role of Positioning in the Social and Geographical Space
Muhamed Kudic, Peter Bönisch, Iciar Dominguez Lacasa
Abstract
Empirical and theoretical contributions provide strong evidence that firm-level performance outcomes in terms of innovativeness can either be determined by the firm’s position in the social space (network effects) or by the firm’s position in the geographical space (co-location effects). Even though we can observe quite recently first attempts in bringing together these traditionally distinct research streams (Whittington et al. 2009), research on interdependent network and geographical co-location effects is still rare. Consequently, we seek to answer the following research question: considering that the effects of social and geographic proximity on firm’s innovativeness can be interdependent, what are the distinct and combined effects of firm’s network and geographic position on firm-level innovation output? We analyze the innovative performance of German laser source manufacturers between 1995 and 2007. We use an official database on publicly funded R&D collaboration projects in order to construct yearly networks and analyze firm’s network positions. Based on information on population entries and exits we calculate various types of geographical proximity measures between private sector and public research organizations (PRO). We use patent grants as dependent variable in order to measure firm-level innovation output. Empirical results provide evidence for distinct effect of network degree centrality. Distinct effect of firm’s geographical co-location to laser-related public research organization promotes patenting activity. Results on combined network and co-location effects confirms partially the existence of in-terdependent proximity effects, even though a closer look at these effects reveals some ambiguous but quite interesting findings.
Read article
Has the Euro Increased International Price Elasticities?
Oliver Holtemöller, Götz Zeddies
IWH Discussion Papers,
No. 18,
2010
published in: Empirica
Abstract
This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown, Durbin, and Evans (1975) and Zeileis (2004), Nyblom (1989) and Hansen (1992), and Andrews, Lee, and Ploberger (1996). Power and size properties are derived using Monte Carlo simulations. Results emphasize that mostly the CUSUM type tests are affected by the presence of heteroscedasticity, whereas the individual parameter Nyblom test and AvgLM test are proved to be highly robust. However, each test is significantly affected by leptokurtosis. Contrarily to other tests, where skewness is far more problematic than kurtosis, it has no additional effect for any of the endogenous break tests we analyze. Concerning overall robustness the Nyblom test performs best, while being almost on par to more recently developed tests in terms of power.
Read article
Testing for Structural Breaks at Unknown Time: A Steeplechase
Makram El-Shagi, Sebastian Giesen
Abstract
This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown, Durbin, and Evans (1975) and Zeileis (2004), Nyblom (1989) and Hansen (1992), and Andrews, Lee, and Ploberger (1996). Power and size properties are derived using Monte Carlo simulations. Results emphasize that mostly the CUSUM type tests are affected by the presence of heteroscedasticity, whereas the individual parameter Nyblom test and AvgLM test are proved to be highly robust. However, each test is significantly affected by leptokurtosis. Contrarily to other tests, where skewness is far more problematic than kurtosis, it has no additional effect for any of the endogenous break tests we analyze. Concerning overall robustness the Nyblom test performs best, while being almost on par to more recently developed tests in terms of power.
Read article
The Dilemma of Delegating Search: Budgeting in Public Employment Services
Martin Altemeyer-Bartscher, J. T. Addison, T. Kuhn
IZA Discussion Papers, No. 5170,
No. 5170,
2010
Abstract
The poor performance often attributed to many public employment services may be explained in part by a delegation problem between the central office and local job centers. In markets characterized by frictions, job centers function as match-makers, linking job seekers with relevant vacancies. Because their search intensity in contacting employers and collecting data is not verifiable by the central authority, a typical moral hazard problem can arise. To overcome the delegation problem and provide high-powered incentives for high levels of search effort on the part of job centers, we propose output-related schemes that assign greater staff capacity to agencies achieving high strike rates.
Read article
FDI and the National Innovation System - Evidence from Central and Eastern Europe
Jutta Günther, Björn Jindra, Johannes Stephan
D. Dyker (ed.), Network Dynamics in Emerging Regions of Europe, Imperial College Press,
2010
Abstract
The paper investigates strategic motives, technological activities and determinants of foreign investment enterprises’ embeddedness in post-transition economies (Eastern Germany and selected Central East European countries). The empirical study makes use of the IWH FDI micro database. Results of the descriptive analysis of investment motives show that market access dominates over efficiency seeking and other motives. The majority of investors are technologically active in the region as a whole, but countries differ in terms of performance. The probit model estimations show that firm specific characteristics, among them innovativeness and autonomy from parent company, are important determinants of foreign investment enterprises’ embeddedness.
Read article
Still Divided by Transformation? Characteristic Features of the German Innovation System and the Barriers to Extending it to East Germany
Peter Franz
D. Dyker (ed.), Network Dynamics in Emerging Regions of Europe, Imperial College Press,
2010
Abstract
This paper concentrates on various factors preventing the establishment of an efficient regional innovation system in East Germany. For this purpose in the third section the strengths and weaknesses of the all German innovation system are elaborated by means of patent statistics. The fourth section describes the evolution of the East German innovation system after 1990, lists the most important supportive political measures, and discusses several reasons for deficits in innovative performance. The fifth section concludes and presents suggestions for political intervention.
Read article
Should We Trust in Leading Indicators? Evidence from the Recent Recession
Katja Drechsel, Rolf Scheufele
Abstract
The paper analyzes leading indicators for GDP and industrial production in Germany. We focus on the performance of single and pooled leading indicators during the pre-crisis and crisis period using various weighting schemes. Pairwise and joint significant tests are used to evaluate single indicator as well as forecast combination methods. In addition, we use an end-of-sample instability test to investigate the stability of forecasting models during the recent financial crisis. We find in general that only a small number of single indicator models were performing well before the crisis. Pooling can substantially increase the reliability of leading indicator forecasts. During the crisis the relative performance of many leading indicator models increased. At short horizons, survey indicators perform best, while at longer horizons financial indicators, such as term spreads and risk spreads, improve relative to the benchmark.
Read article
