International Regional Science Review最新文献_第10页

Public Research, Local Knowledge Transfer, and Regional Development: Insights from a Structural VAR Model 公共研究、地方知识转移与区域发展——基于结构VAR模型的启示

IF 2.3 3区经济学

International Regional Science Review Pub Date : 2020-11-01 DOI: 10.1177/0160017619863466

Jonathan Eberle, T. Brenner, T. Mitze

{"title":"Public Research, Local Knowledge Transfer, and Regional Development: Insights from a Structural VAR Model","authors":"Jonathan Eberle, T. Brenner, T. Mitze","doi":"10.1177/0160017619863466","DOIUrl":"https://doi.org/10.1177/0160017619863466","url":null,"abstract":"This article estimates the regional economic effects of public research activities. In order to identify the underlying transmission channels from knowledge creation to the regional environment, the empirical identification strategy goes beyond traditional partial effects analyses and studies the complex linkages between public research, innovativeness, and regional development on the basis of a structural vector autoregressive model. A particular focus is thereby set on assessing whether the effects of local public research activity differ by the type of research actors (universities, technical colleges, and public research institutes). The empirical results indicate that an increase in the volume of (public) third-party funding to technical colleges is associated with a rise in the regional investment and employment rate as well as the human capital stock. Increasing public third-party funding to both universities and technical colleges positively affects the regional patent activity, the employment rate, and per workforce output. In comparison, the empirical results provide limited evidence for regional economic effects stemming from an increase in local knowledge creation measured in terms of scientific publications. Here, only variations in the publication rate of public research institutes can be linked to positive private sector investment and employment effects.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0160017619863466","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49231667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Are Chinese Cities Oversized? 中国城市太大了吗?

IF 2.3 3区经济学

International Regional Science Review Pub Date : 2020-11-01 DOI: 10.1177/0160017619884108

Daidai Shen, J. Thill, Jiuwen Sun

引用次数: 5

The Local Labor Market Effects of Korean Automotive Investments in the United States 韩国汽车在美国投资的当地劳动力市场效应

IF 2.3 3区经济学

International Regional Science Review Pub Date : 2020-10-08 DOI: 10.1177/0160017620964849

Eunbi Kim

引用次数: 2

Crisis, Adjustment and Resilience in the Greek Labor Market: An Unemployment Decomposition Approach 希腊劳动力市场的危机、调整和弹性:一个失业分解方法

IF 2.3 3区经济学

International Regional Science Review Pub Date : 2020-10-06 DOI: 10.1177/0160017620964848

V. Monastiriotis, Angelo Martelli

引用次数: 22

A Solution for Absent Spatial Data: The Common Correlated Effects Estimator 空间数据缺失的一种解:公共相关效应估计量

IF 2.3 3区经济学

International Regional Science Review Pub Date : 2020-09-22 DOI: 10.1177/0160017620959132

M. Beenstock, D. Felsenstein

{"title":"A Solution for Absent Spatial Data: The Common Correlated Effects Estimator","authors":"M. Beenstock, D. Felsenstein","doi":"10.1177/0160017620959132","DOIUrl":"https://doi.org/10.1177/0160017620959132","url":null,"abstract":"Informed regional policy needs good regional data. As regional data series for key economic variables are generally absent whereas national-level time series data for the same variables are ubiquitous, we suggest an approach that leverages this advantage. We hypothesize the existence of a pervasive “common factor” represented by the national time series that affects regions differentially. We provide an empirical illustration in which national FDI is used in place of panel data for FDI, which are absent. The proposed methodology is tested empirically with respect to the determinants of regional demand for housing. We use a quasi-experimental approach to compare the results of a “common correlated effects” (CCE) estimator with a benchmark case when absent regional data are omitted. Using three common factors relating to national population, income and housing stock, we find mixed support for the common correlated effects hypothesis. We conclude by discussing how our experimental design may serve as a methodological prototype for further tests of CCE as a solution to the absent spatial data problem.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2020-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0160017620959132","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43828592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Characterizing the Regional Structure in the United States: A County-based Analysis of Labor Market Centrality 美国地区结构特征分析——基于县的劳动力市场中心性分析

IF 2.3 3区经济学

International Regional Science Review Pub Date : 2020-09-03 DOI: 10.1177/0160017620946082

N. Kaza, K. Nesse

引用次数: 0

Endogenous Growth in a Spatial Economy: The Impact of Globalization on Innovations and Convergence 空间经济的内生增长:全球化对创新和趋同的影响

IF 2.3 3区经济学

International Regional Science Review Pub Date : 2020-09-03 DOI: 10.1177/0160017620946095

Dani Broitman, D. Czamanski

{"title":"Endogenous Growth in a Spatial Economy: The Impact of Globalization on Innovations and Convergence","authors":"Dani Broitman, D. Czamanski","doi":"10.1177/0160017620946095","DOIUrl":"https://doi.org/10.1177/0160017620946095","url":null,"abstract":"In this article we explore the claim that spatial interactions among cities are significant drivers of their growth. We assert that reallocation of ideas among cities is a source of improved allocation of resources. We propose a closed economy, agent-based model that is in constant flux. It is populated by autonomous agents that compete and adjust constantly their behavior in reaction to the conditions they perceive. The economy is a dynamic, self-organizing system. We focus on the intensity of globalization as the critical economic process that explains differences in convergence and divergence in the system. The means by which the extent of globalization affects the long-run performance of economies is the geographic reach of new ideas and their conversion into innovations. The question that plays out in our model is the relative influence of globalization and the localized entrepreneurial ecology on innovation. When the globalization is weak, new firms are limited by the market value of their own city. As the globalization strengthens, more and more new firms belong to the global playground. We demonstrate that in line with empirical literature, the gross domestic product of our urban system increases greatly with the increase in globalization level.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2020-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0160017620946095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47728492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

A Scenario-based Approach for Understanding Changes in Consumer Spending Behavior in Response to Rising Water Bills 一种基于情景的方法来理解消费者支出行为对水费上涨的反应

IF 2.3 3区经济学

International Regional Science Review Pub Date : 2020-09-03 DOI: 10.1177/0160017620942812

Laura J. Medwid, Elizabeth A. Mack

{"title":"A Scenario-based Approach for Understanding Changes in Consumer Spending Behavior in Response to Rising Water Bills","authors":"Laura J. Medwid, Elizabeth A. Mack","doi":"10.1177/0160017620942812","DOIUrl":"https://doi.org/10.1177/0160017620942812","url":null,"abstract":"Rising infrastructure costs for water providers and the rising cost of water for households pose several challenges for water providers, policy makers, and the research community. Consumers may utilize several strategies for coping with rising water costs including reduced water use or spending reductions on other household goods and services. To provide a first glance at the link between rising water bills and consumer spending, this study analyzes data from a household survey in the United States to understand how consumers may change spending behavior given various water bill increase scenarios. Results of this analysis provide insights into the demographics of households likely to be affected, the industries that could be affected, and at what bill increase levels these trends are most pronounced. While additional research on this topic is needed, these results suggest a stronger emphasis on long-term water management planning and allocation of resources to building and maintaining water infrastructure may be required. For utilities, this means a consideration of nonrevenue sources of funds to pay for rising water costs and strategies for making water more affordable for customers without deferring infrastructure improvements.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2020-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0160017620942812","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48700709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Personal Income Tax Compliance at the Regional Level: The Role of Persistence, Neighborhood, and Decentralization 地区层面的个人所得税合规：持久性、邻里关系和权力下放的作用

IF 2.3 3区经济学

International Regional Science Review Pub Date : 2020-09-03 DOI: 10.1177/0160017620942815

Julio López‐Laborda, Jaime Vallés-Giménez, Anabel Zárate-Marco

引用次数: 1

Geographically Weighted Regression Analysis for Spatial Economics Data: A Bayesian Recourse 空间经济学数据的地理加权回归分析：贝叶斯方法

IF 2.3 3区经济学

International Regional Science Review Pub Date : 2020-07-05 DOI: 10.1177/0160017620959823

Zhihua Ma, Yishu Xue, Guanyu Hu

{"title":"Geographically Weighted Regression Analysis for Spatial Economics Data: A Bayesian Recourse","authors":"Zhihua Ma, Yishu Xue, Guanyu Hu","doi":"10.1177/0160017620959823","DOIUrl":"https://doi.org/10.1177/0160017620959823","url":null,"abstract":"The geographically weighted regression (GWR) is a well-known statistical approach to explore spatial non-stationarity of the regression relationship in spatial data analysis. In this paper, we discuss a Bayesian recourse of GWR. Bayesian variable selection based on spike-and-slab prior, bandwidth selection based on range prior, and model assessment using a modified deviance information criterion and a modified logarithm of pseudo-marginal likelihood are fully discussed in this paper. Usage of the graph distance in modeling areal data is also introduced. Extensive simulation studies are carried out to examine the empirical performance of the proposed methods with both small and large number of location scenarios, and comparison with the classical frequentist GWR is made. The performance of variable selection and estimation of the proposed methodology under different circumstances are satisfactory. We further apply the proposed methodology in analysis of a province-level macroeconomic data of thirty selected provinces in China. The estimation and variable selection results reveal insights about China’s economy that are convincing and agree with previous studies and facts.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0160017620959823","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42309051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17