Jahrbuch fur Regionalwissenschaftt = Review of regional research最新文献

Aging and regional productivity growth in Germany. 德国的老龄化和地区生产力增长。

Jahrbuch fur Regionalwissenschaftt = Review of regional research Pub Date : 2023-05-26 DOI: 10.1007/s10037-023-00188-3

Eckhardt Bode, Dirk Dohse, Ulrich Stolzenburg

{"title":"Aging and regional productivity growth in Germany.","authors":"Eckhardt Bode, Dirk Dohse, Ulrich Stolzenburg","doi":"10.1007/s10037-023-00188-3","DOIUrl":"10.1007/s10037-023-00188-3","url":null,"abstract":"We investigate the effects of aging on regional productivity growth, the mechanisms and the strength of which are not well-understood. We focus on two different manifestations of population aging-workforce aging and an increasing share of retirees-and investigate channels through which aging may impact on regional productivity growth for a panel of German counties 2000-2019. We find that workforce aging is more negatively associated with productivity growth in urban than in nonurban regions. A likely reason is that aging is detrimental to innovative and knowledge-intensive activities, which are heavily concentrated in cities. We also find a negative association between the share of the retired population and productivity growth in regions with a small household services sector. A likely reason is that older people's disproportionate demand for local household services (including health care, recreation) requires a re-allocation of resources from more productive manufacturing or business services to less productive household services. Regions specialized more in highly productive industries have more to lose in this process.","PeriodicalId":73531,"journal":{"name":"Jahrbuch fur Regionalwissenschaftt = Review of regional research","volume":" ","pages":"1-24"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215058/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9718300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

COVID-19 and housing prices: evidence from U.S. county-level data. 新冠肺炎与房价：来自美国县级数据的证据。

Jahrbuch fur Regionalwissenschaftt = Review of regional research Pub Date : 2023-05-25 DOI: 10.1007/s10037-023-00187-4

Hakan Yilmazkuday

引用次数: 5

The regional variation of a housing boom. Disparities of land prices in Austria, 2000-2018. 房地产繁荣的地区差异。2000-2018年奥地利土地价格差异。

Jahrbuch fur Regionalwissenschaftt = Review of regional research Pub Date : 2023-01-01 Epub Date: 2023-01-23 DOI: 10.1007/s10037-022-00176-z

Christian Reiner, Robert Musil

{"title":"The regional variation of a housing boom. Disparities of land prices in Austria, 2000-2018.","authors":"Christian Reiner, Robert Musil","doi":"10.1007/s10037-022-00176-z","DOIUrl":"10.1007/s10037-022-00176-z","url":null,"abstract":"Debates accompanying the global housing boom have primarily focussed on the economic and social implications for urban housing markets. Against this background, this paper analyses the repercussions for regional land prices of a national housing boom in and beyond agglomerations. Convergence and divergence dynamics, regional price drivers, and spatial diffusion are investigated by examining average building-land prices of 95 Austrian regions between 2000 and 2018. The results indicate a clear increase in regional disparities in land prices, with the main rise taking place during a high price-growth period. Regions with high land prices are the main drivers of divergence, while a substantial number of peripheral regions with converging land prices were hardly affected by the national price boom. Land-price growth rates are positively affected by the number of households but negatively impacted by income growth, which points to a problematic decoupling of household income and land prices. Finally, the diffusion of the land-price boom occurs along the urban hierarchy as well as via neighbouring regions, confirming the ripple-effect hypothesis.","PeriodicalId":73531,"journal":{"name":"Jahrbuch fur Regionalwissenschaftt = Review of regional research","volume":"43 1","pages":"125-146"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9870203/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9900557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial networks and the spread of COVID-19: results and policy implications from Germany. 空间网络与新冠肺炎的传播：来自德国的结果和政策影响。

Jahrbuch fur Regionalwissenschaftt = Review of regional research Pub Date : 2023-01-01 Epub Date: 2023-05-15 DOI: 10.1007/s10037-023-00185-6

Matthias Flückiger, Markus Ludwig

{"title":"Spatial networks and the spread of COVID-19: results and policy implications from Germany.","authors":"Matthias Flückiger, Markus Ludwig","doi":"10.1007/s10037-023-00185-6","DOIUrl":"10.1007/s10037-023-00185-6","url":null,"abstract":"Spatial networks are known to be informative about the spatiotemporal transmission dynamics of COVID-19. Using district-level panel data from Germany that cover the first 22 weeks of 2020, we show that mobility, commuter and social networks all predict the spatiotemporal propagation of the epidemic. The main innovation of our approach is that it incorporates the whole network and updated information on case numbers across districts over time. We find that when disease incidence increases in network neighbouring regions, case numbers in the home district surge one week later. The magnitude of these network transmission effects is comparable to within-district transmission, illustrating the importance of networks as drivers of local disease dynamics. After the introduction of containment policies in mid-March, network transmission intensity drops substantially. Our analysis suggests that this reduction is primarily due to a change in quality-not quantity-of interregional movements. This implies that blanket mobility restrictions are not a prerequisite for containing the interregional spread of COVID-19.","PeriodicalId":73531,"journal":{"name":"Jahrbuch fur Regionalwissenschaftt = Review of regional research","volume":"43 1","pages":"1-27"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10183698/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9910492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Where do knowledge-intensive firms locate in Germany?-An explanatory framework using exponential random graph modeling. 知识密集型企业在德国的位置-使用指数随机图建模的解释性框架。

Jahrbuch fur Regionalwissenschaftt = Review of regional research Pub Date : 2023-01-01 Epub Date: 2023-02-28 DOI: 10.1007/s10037-023-00183-8

Mathias Heidinger, Fabian Wenner, Sebastian Sager, Paul Sussmann, Alain Thierstein

{"title":"Where do knowledge-intensive firms locate in Germany?-An explanatory framework using exponential random graph modeling.","authors":"Mathias Heidinger, Fabian Wenner, Sebastian Sager, Paul Sussmann, Alain Thierstein","doi":"10.1007/s10037-023-00183-8","DOIUrl":"10.1007/s10037-023-00183-8","url":null,"abstract":"This paper analyzes how positional and relational data in 186 regions of Germany influence the location choices of knowledge-based firms. Where firms locate depends on specific local and interconnected resources, which are unevenly distributed in space. This paper presents an innovative way to study such firm location decisions through network analysis that relates exponential random graph modeling (ERGM) to the interlocking network model (INM). By combining attribute and relational data into a comprehensive dataset, we capture both the spatial point characteristics and the relationships between locations. Our approach departs from the general description of individual location decisions in cities and puts extensive networks of knowledge-intensive firms at the center of inquiry. This method can therefore be used to investigate the individual importance of accessibility and supra-local connectivity in firm networks. We use attributional data for transport (rail, air), universities, and population, each on a functional regional level; we use relational data for travel time (rail, road, air) and frequency of relations (rail, air) between two regions. The 186 functional regions are assigned to a three-level grade of urbanization, while knowledge-intensive economic activities are grouped into four knowledge bases. This research is vital to understand further the network structure under which firms choose locations. The results indicate that spatial features, such as the population of or universities in a region, seem to be favorable but also reveal distinct differences, i.e., the proximity to transport infrastructure and different valuations for accessibility for each knowledge base.","PeriodicalId":73531,"journal":{"name":"Jahrbuch fur Regionalwissenschaftt = Review of regional research","volume":"43 1","pages":"101-124"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228493/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9620806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The potential of small-scale spatial data in regional science. 小规模空间数据在区域科学中的潜力。

Jahrbuch fur Regionalwissenschaftt = Review of regional research Pub Date : 2022-01-01 Epub Date: 2022-10-17 DOI: 10.1007/s10037-022-00172-3

Rolf Bergs, Rüdiger Budde

引用次数: 0