Regionale Entwicklung mit und ohne räumliche Spillover-Effekte

Abstract

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThe development state of regions depends not only on the own efficiency, but also on spatial spillovers. Positive (backward linkages, use of the infrastructure in neighbouring economic areas etc.) and negative (e. g. environmental effects) spillovers give reasons for a mutual economic influence between regions. The spatial econometric analysis makes a simulation of the labour efficiency with and without spillovers possible. The eigenvectors, which represent the spatial effects from neighbouring regions, explain a high proportion of the labour efficiency variation. Thus a cross-border network-based regional policy makes sense. Especially metropolitan areas are influencing the labour efficiency in surrounding regions. Some East-German regions in Brandenburg and Saxony would have above-average labour efficiency without the bad economic environment. Other sparsely populated regions, for example in the Harz or in Mecklenburg-Western Pomerania, are very unattractive with and without taking into consideration neighbouring effects.JEL C21, R11, R58

Measuring Regional Spillovers in Long- and Short-Run Models of Total Factor Productivity, Trade, and FDI

“…Moreover, we find strong evidence for the role of autoregressive adjustment processes measured by Dtfp i;tÀ1 as well as significant positive coefficient for the contemporaneous spatial lag of the endogenous variables. The latter result mirrors earlier findings for German regional growth, which shows a positive intranational growth nexus among spatial neighbors (see, e.g., Niebuhr 2000 as well as Eckey, Kosfeld, and Tuerck 2007). Testing for remaining crosssection correlation in the error term of the SpECM by means of the spatiotemporal extension of Moran's I (STMI, see Lopez et al 2011), Table 5 shows that the time-space-simultaneous specification is well equipped to capture all underlying spatial patterns in the data.…”

The Age Pattern of Human Capital and Regional Productivity

“…Since the new de…nition focuses on actually required skills, it is more p < :01, N = 172, robust s.e. in parentheses "sp" spatial; "Model 1" OLS without spatial dependence; "Model 3" OLS with spatially lagged human capital (spatial regressive); "Model 5"ML with spatial error dependence; ln k logarithm of capital intensity; East Dummy for East Germany; Div diversity index; Dloc location index, indicating specialisation; ln h logarithm of average human capital; ln W N h spatially lagged human capital; ln T the constant; coe¢ cient of the spatial error component; "sp error" spatial error; "LM"spatial LM tests; "rob LM"robust spatial LM test; "sp lag" spatial lag Eckey et al (2007) on Germany, but are on the bottom of estimates in the growth literature, where the upper limit is about 0.3. 9 However, since most authors do not control for agglomeration e¤ects, the elasticity is presumably overestimated in many studies.…”

“…This is present in the data base. On the other hand daily commuting is not a problem in our approach since we consider labour market regions which are de…ned in such a way that daily commuting occurs within the regions (see Eckey et al 2007). In addition, particularly in Germany mobility is a matter concerning the younger age cohorts but hardly the age cohorts 40-49 and 50-65.…”

“…The regional capital stock has been calculated by Eckey et al (2007). The data on human capital and the age pattern of human capital in 2000 are from the "IABS", i.e.…”

Global Warming Induced Water-Cycle Changes and Industrial Production – A Scenario Analysis for the Upper Danube River Basin

“…16 They use the estimation of the primary form of the production function in order to determine the shadow value of industrial water use, the price elasticities of the production factors and the region-specific dummies which characterize the local production technologies on the scale of the NUTS 3 regions (The NUTS 3 district classification of the European Union is in size equal to a German Stadtkreis or Landkreis). A comprehensive description of the estimation procedure can be found in Kim (1992) as well as in Eckey et al (2005) who also describe the calculation procedure for the elasticities of Translog production-functions in detail. Further works focus on assessing the value of water for industrial production include Reynaud (2003), Griffin (2006), Dachraoui and Harcharoui (2004) and Dupont and Renzetti (2003).…”