Soil and water conservation technologies: a buffer against production risk in the face of climate change? Insights from the Nile basin in Ethiopia

This study investigates the impact of different soil and water conservation (SWC) technologies on the variance of crop production in Ethiopia to determine the risk implications of the different technologies in different regions and rainfall zones. Given the production risks posed by climate change, such information can be used by decision makers to identify appropriate agricultural practices that act as a buffer against climate change. Results show that SWC investments perform differently in different rainfall areas and regions of Ethiopia and that the effectiveness of technologies such as irrigation, fertilizer, and improved seeds often depends on whether these investments are coupled with SWC measures. These results underscore the importance of the selection of appropriate combinations of technologies and careful geographical targeting when promoting and scaling up SWC technologies for adaptation to climate change.     

Marshall’s disciples: knowledge and innovation driving regional economic development and growth

Studies of knowledge and innovation as driving forces of regional development and growth offer a myriad of approaches. Here, questions asked, methods used and answers given are manifold. In our overview, we cover recent developments in this research area. Moreover, we explore the question as to the extent to which approaches in this research area compete with or complement one another. It turns out that the various studies are much more complementary than competitive. However, there is still much ground to be covered before we fully understand the processes underlying the creation and dissemination of knowledge and innovation leading to regional development and growth.JEL Classification: R11, O32, O33, O18 Correspondence to: Claudia WerkerThis Special Issue is the outcome of the workshop on Knowledge and Innovation in Creating and Sustaining Regional Growth in a Global Environment held at Eindhoven University of Technology, The Netherlands, July 10 ^th until 12 ^th , 2003. Financial support by the Dutch research council (NWO), the Centre for Economic Research (CfER) of the Open University Milton Keynes (UK) as well as by Eindhoven Center for Innovation Studies (ECIS, The Netherlands) is gratefully acknowledged; as is the organizational support by ECIS. We are grateful for helpful comments by Ron Boschma and Joachim Schwerin. Moreover, we would like to thank Uwe Cantner for his kind support in making this Special Issue happen. Naturally, the usual disclaimer applies.     

Hausnotruf: Mehr Freiheit im Alter

Neue Kundenpotenziale in der ambulanten Pflege - Die 2010 ver?ffentlichte Studie „Wirkungs- und Potenzialanalyse zum Hausnotruf in Deutschland“ best?tigt, dass der Hausnotruf den Umzug in ein Pflegeheim verz?gern oder sogar vermeiden kann. Das wünscht sich nahezu jeder ?ltere Mensch: so lange wie m?glich selbstbestimmt in den eigenen vier W?nden zu leben. Hausnotruf ist für Pflegedienste gleichzeitig sowohl ein guter Einstieg als auch eine perfekte Erg?nzung zur ambulanten Pflege.     

Exchange Rates and FDI: Goods versus Capital Market Frictions

Changes in exchange rates affect countries through their impact on cross‐border activities such as trade and foreign direct investment (FDI). With increasing activities of multinational firms, the FDI channel is likely to gain in importance. Economic theory provides two main explanations why changes in exchange rates can affect FDI. According to the first explanation, FDI reacts to exchange rate changes if there are information frictions on capital markets and if investment depends on firms’ net worth (capital market friction hypothesis). According to the second explanation, FDI reacts to exchange rate changes if output and factor markets are segmented, and if firm‐specific assets are important (goods market friction hypothesis). We provide a unified theoretical framework of these two explanations. We analyse the implications of the model empirically using a dataset based on detailed German firm‐level data. We find greater support for the goods market than for the capital market friction hypothesis.     

Does Export Openness Increase Firm‐level Output Volatility?

There is a widespread concern that increased trade may lead to increased instability and thus risk at the firm level. Greater export openness can indeed affect firm‐level volatility by changing the exposure and the reaction of firms to macroeconomic developments. The net effect is ambiguous from a theoretical point of view. This paper provides firm‐level evidence on the link between openness and volatility. Using comprehensive data on more than 21,000 German manufacturing firms for the period 1980–2001, we analyse the evolution of firm‐level output volatility and the link between volatility and export openness. Our paper has three main findings. First, firm‐level output volatility is significantly higher than the level of aggregate volatility, but it displays similar patterns. Second, increased export openness lowers firm‐level output volatility. This effect is primarily driven by variations along the extensive margin, i.e. by the distinction between exporters and non‐exporters. Variations along the intensive margin, i.e. the volume of exports, tend to have a dampening impact on volatility as well. Third, small firms are more volatile than large firms.     

Bootstrapping sequential change-point tests for linear regression

Bootstrap methods for sequential change-point detection procedures in linear regression models are proposed. The corresponding monitoring procedures are designed to control the overall significance level. The bootstrap critical values are updated constantly by including new observations obtained from the monitoring. The theoretical properties of these sequential bootstrap procedures are investigated, showing their asymptotic validity. Bootstrap and asymptotic methods are compared in a simulation study, showing that the studentized bootstrap tests hold the overall level better especially for small historic sample sizes while having a comparable power and run length.