How to improve the quality of life in peripheral and lagging regions by policy measures? Examining the effects of two different policies in Germany

Peripheral regions commonly appear to be less attractive to live in and policymakers all over the world are applying various measures to make them more attractive. This paper analyzes the effects of two very different measures: The German municipal fiscal equalization scheme and the German structural funds for economically weak areas (GRW). It focusses on the impact on perceived quality of life, measured through interregional migration between German labor market regions. Using a spatial vector autoregressive panel model, we find evidence that equalization transfers have a significant positive impact on regional net migration and contribute to the aim of regional equity. These effects are especially found for regions with low endogenous fiscal capacities. GRW funding reveals no significant effects on net migration rates in total, but short-term effects in rural regions.     

The History of Knowledge and the Future of Knowledge Societies

The new field of the history of knowledge is often presented as a mere expansion of the history of science. We argue that it has a greater ambition. The re‐definition of the historiographical domain of the history of knowledge urges us to ask new questions about the boundaries, hierarchies, and mutual constitution of different types of knowledge as well as the role and assessment of failure and ignorance in making knowledge. These issues have pertinence in the current climate where expertise is increasingly questioned and authority seems to lose its ground. Illustrated with examples from recent historiography of the sixteenth to twentieth centuries, we indicate some fruitful new avenues for research in the history of knowledge. Taken together, we hope that they will show that the history of knowledge could build the expertise required by the challenges of twenty‐first century knowledge societies, just like the history of science, throughout its development as a discipline in the twentieth century, responded to the demands posed by science and society.     

Reviews

Gro Mandt Larsen: Bergbilder i Hordaland. En unders?kelse av bildenes sam‐mensetning, deres naturmilj? og kulturmilj? (Rock pictures in Hordaland. An analysis of the composition of the pictures and of their ecological and cultural background). Årbok for Universitetet i Bergen. Hum. Serie 1970, No. 2. Bergen 1972. 158 pp. 73 Pl. 6 Maps. English summary     

The oldest evidence of painted furniture from Sweden – The 12th century chair from Suntak

The 12th century Suntak chair is one of the earliest pieces of furniture known from Sweden. A close examination revealed minute remnants of possible colour pigments on several parts of the chair. Chemical analyses of the pigments revealed the presence of several colours such as black, white and red. This paper attempts to shed light upon the identification and origin of the pigments as well as the time of painting. The original use and the setting of the chair will also be discussed.     

High‐Resolution 3D Marine Seismic Investigation of Hedeby Harbour,Germany

Offshore 3D‐seismic acquisition has been a standard for high‐precision structural imaging in the oil and gas industry for many years. Recently this technique has been adapted by only a few teams to the resolution required for archaeological marine investigation. In contrast to sonar techniques, the 3D‐seismic method produces images below the sea‐floor. We investigate the harbour of the Viking age proto‐town of Hedeby in Northern Germany with the SEAMAP‐3D system. SEAMAP‐3D allows for rapid acquisition and employs an automated data processing sequence. We observe a wealth of archaeologically relevant detail and compare our results with previous work.     

Exposing Unobserved Spatial Similarity: Evidence from German School Choice Data

In a spatial context, flexible substitution patterns play an important role when modeling individual choice behavior. Issues of correlation may arise if two or more alternatives of a selected choice set share characteristics that cannot be observed by a modeler. Multivariate extreme value (MEV) models provide the possibility to relax the property of constant substitution imposed by the multinomial logit (MNL) model through its independence of irrelevant alternatives (IIA) property. Existing approaches in school network planning often do not account for substitution patterns, nor do they take free school choice into consideration. In this article, we briefly operationalize a closed‐form discrete choice model (generalized nested logit [GNL] model) from utility maximization to account for spatial correlation. Moreover, we show that very simple and restrictive models are usually not adequate in a spatial choice context. In contrast, the GNL is still computationally convenient and obtains a very flexible structure of substitution patterns among choice alternatives. Roughly speaking, this flexibility is achieved by allocating alternatives that are located close to each other into nests. A given alternative may belong to several nests. Therefore, we specify a more general discrete choice model. Furthermore, the data and the model specification for the school choice problem are presented. The analysis of free school choice in the city of Dresden, Germany, confirms the influence of most of the exogenous variables reported in the literature. The estimation results generally indicate the applicability of MEV models in a spatial context and the importance of spatial correlation in school choice modeling. Therefore, we suggest the use of more flexible and complex models than standard logit models in particular. En un contexto espacial, los patrones sustitución flexible juegan un papel importante en el modelamiento del comportamiento de las decisiones individuales. Varios problemas de correlación pueden presentarse si dos o más alternativas de elección comparten características no observables por el modelador. Los modelos de valor extremo (multivariate extreme value‐MEV) ofrecen la posibilidad de relajar la propiedad de sustitución constante (constant substitution) presente en los modelos logit multinomiales (multinomial logit‐MNL), a través de su propiedad de independencia de alternativas irrelevantes (Independence of irrelevant alternatives property ‐IIA). A menudo, los enfoques existentes en la planificación de redes escolares no toman en consideración los patrones de sustitución y de libre elección de escuela. En este artículo, los autores presentan brevemente el funcionamiento de un modelo de elección discreta (discrete choice model) para la maximización de utilidad o modelo logit anidado generalizado (generalized nested logit model‐GNL) para dar cuenta de la autocorrelación espacial. Los autores sostienen que modelos demasiado simples y restrictivos no suelen ser adecuados en un contexto de elección espacial. En contraste el modelo GNL es conveniente en términos de su computación y obtiene una estructura muy flexible de los patrones de sustitución entre las alternativas de elección. En términos generales, esta flexibilidad se logra mediante la asignación (o anidación) de las alternativas cercanas en el espacio (una alternativa puede pertenecer a varios nidos). Por lo tanto, los autores presentan un modelo de elección discreta más general. El estudio presenta además datos y la especificación del modelo para un caso de elección de escuela concreto: el análisis de libre elección de escuela en la ciudad de Dresden, Alemania. El análisis confirma la influencia de la mayoría de las variables exógenas presentes en la literatura. Los resultados de la estimación demuestran en términos generales la aplicabilidad de los modelos MEV en un contexto espacial y la importancia de la autocorrelación espacial en el modelado de elección de escuela. Los autores concluyen sugiriendo el uso de modelos más flexibles y complejos que los modelos utilizados habitualmente, en particular los modelos logit estándar. 从空间视角看,灵活的替代模式在个人行为选择建模中发挥着重要作用。当存在两个或两个以上备选方案集具有共性且无法被建模者观察到时,就可能出现相关性问题。多元极值模型（MEV）通过不相关的替代属性（IIA）实现了对多元logit模型（MNL）中常数限制的松弛替代。现有校园网络规划方法通常无法解释替代模式,而且没有考虑到自由择校因素。本文简要地建立一个封闭离散选择模型（广义嵌套（GNL）模型）,从效用最大化角度来解释空间相关性。此外分析还表明,非常简单的约束模型通常不具有足够的空间选择情境。相比之下,GNL模型计算便捷,且可以在各选择方案中获得非常灵活的替代模式。大致而言,这种灵活性大体是通过与住处位置距离上彼此靠近的替代选择分配而获得,一个给定的选择可能属于不同的住处。因此,我们给出了一个更一般的离散选择模型。此外,还给出了针对择校问题的数据和模型设定。基于德国德累斯顿市自由择校分析,证实了已有研究中多数外生变量的影响。估计结果证实了MEV模型在空间分析中的适用性以及择校模型中空间相关的重要性,并建议使用更加灵活和复杂的模型而不是标准的logit模型。