Review of Regional Studies最新文献_第3页

State Economic Impacts of Industrial Park Development: Evidence from Virginia’s Tobacco Region Megasite Program 工业园区发展对国家经济的影响:来自弗吉尼亚州烟草地区大型项目的证据

IF 0.9

Review of Regional Studies Pub Date : 2022-08-27 DOI: 10.52324/001c.37971

T. Rephann

引用次数: 1

Regional Resilience in China: The Response of the Provinces to the Growth Slowdown 中国的区域弹性:各省对经济增长放缓的反应

IF 0.9

Review of Regional Studies Pub Date : 2022-04-22 DOI: 10.52324/001c.35253

Anping Chen, N. Groenewold

{"title":"Regional Resilience in China: The Response of the Provinces to the Growth Slowdown","authors":"Anping Chen, N. Groenewold","doi":"10.52324/001c.35253","DOIUrl":"https://doi.org/10.52324/001c.35253","url":null,"abstract":"Since 2007 China’s real GDP growth rate has slowed from a level of over 10% per annum to below 7%. Given China’s regional diversity, an important aspect of the slowdown is the possible spatial variation in its experience. This is the issue we consider in this paper and we analyse this question in the context of the regional economic resilience framework. We proceed in two stages. In the first we analyse a measure of provincial slowdown (a sensitivity index) based just on growth rates and use cross-section regressions to investigate the determinants of this index, using a range of provincial characteristics common in the resilience literature. We find that economic structure, demographic factors and education all play a role, although with signs that are often at odds with the existing literature. In the second stage we decompose regional growth rates into national and province-specific components using a VAR model and argue that since resilience concerns the response of provinces to a national shock, it is properly analysed using just the national component of the growth rate rather than the growth rate as such. We therefore analyse a sensitivity index based just on the national component of growth and find many differences between the two sets of results. Using the second index matters for the determinants which are significant as well as for the magnitude of their coefficients. It appears that some of the influences found to be significant in the first stage are there only because of their influence on growth via the province-specific component of the growth rate and in this sense are spurious.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76965354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

What Landmarks Do Visitors Remember about a Place? 游客会记住一个地方的哪些地标?

IF 0.9

Review of Regional Studies Pub Date : 2022-04-22 DOI: 10.52324/001c.35254

Todd Gabe

引用次数: 0

The Social and Economic Factors Underlying the Incidence of COVID-19 Cases and Deaths in US Counties During the Initial Outbreak Phase 在疫情爆发初期，美国县COVID-19病例和死亡发生率背后的社会和经济因素

IF 0.9

Review of Regional Studies Pub Date : 2022-04-22 DOI: 10.52324/001c.35255

Nivedita Mukherji

{"title":"The Social and Economic Factors Underlying the Incidence of COVID-19 Cases and Deaths in US Counties During the Initial Outbreak Phase","authors":"Nivedita Mukherji","doi":"10.52324/001c.35255","DOIUrl":"https://doi.org/10.52324/001c.35255","url":null,"abstract":"This paper uncovers the socioeconomic and health/lifestyle factors that can explain the differential impact of the coronavirus pandemic on different parts of the United States during the initial outbreak phase of the pandemic. Using a dynamic panel representation of an epidemiological model of disease spread, the paper develops a Vulnerability Index for US counties from the daily reported number of cases over a 20-day period of rapid disease growth. County-level economic, demographic, and health factors are used to explain the differences in the values of this index and thereby the transmission and concentration of the disease across the country. These factors are also used to examine the number of reported deaths. The paper finds that counties with high median income have a high incidence of cases but reported lower deaths. Income inequality, as measured by the Gini coefficient, is found to be associated with more deaths and more cases. The remarkable similarity in the distribution of cases across the country and the distribution of distance-weighted international passengers served by the top international airports is evidence of the spread of the virus by way of international travel. The distributions of age, race and health risk factors such as obesity and diabetes are found to be particularly significant factors in explaining the differences in mortality across counties. Counties with better access to health care, as measured by the number of primary care physicians per capita, have lower deaths, and so do places with more health awareness as measured by flu vaccination prevalence. Environmental health conditions such as the amount of air pollution are found to be associated with counties with higher deaths from the virus. It is hoped that research such as these will help policymakers to develop risk factors for each region of the country to better contain the spread of infectious diseases in the future.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83613676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

The Effects of Tornadoes on Housing Prices in Moore, Oklahoma 龙卷风对俄克拉荷马州摩尔市房价的影响

IF 0.9

Review of Regional Studies Pub Date : 2022-04-17 DOI: 10.52324/001c.34682

Whoi Cho, Brian E. Whitacre, Claudia A Rhoades

引用次数: 0

Neighborhood Land Uses as Predictors of the Upward Mobility of Poor Youth 社区土地利用作为贫困青年向上流动的预测因素

IF 0.9

Review of Regional Studies Pub Date : 2022-04-17 DOI: 10.52324/001c.34681

K. Ihlanfeldt

引用次数: 0

Economic Downturn, Change in Unemployment, and the Midwest: A Quantile Regression Approach 经济衰退、失业变化与中西部:分位数回归方法