Industrial park development is commonly advocated by state and local economic developers to aid in business attraction efforts. However, there is limited evidence of its effectiveness in promoting economic growth, particularly in rural and lagging regions in comparison to other economic development tools. This paper examines the literature on the relationship between business site availability and economic development and the rationale for public sector industrial land development assistance. Results from a survey of local economic developers in Virginia are used to characterize industrial park absorption and occupant attributes. Using this information, ex-ante state economic and tax revenue impact analyses are performed for a state-funded industrial park development program serving a rural region of Virginia, the Tobacco Region Megasite Program. The paper examines conditions that affect the economic and tax revenue impact potential of industrial parks and highlights remaining information gaps.
{"title":"State Economic Impacts of Industrial Park Development: Evidence from Virginia’s Tobacco Region Megasite Program","authors":"T. Rephann","doi":"10.52324/001c.37971","DOIUrl":"https://doi.org/10.52324/001c.37971","url":null,"abstract":"Industrial park development is commonly advocated by state and local economic developers to aid in business attraction efforts. However, there is limited evidence of its effectiveness in promoting economic growth, particularly in rural and lagging regions in comparison to other economic development tools. This paper examines the literature on the relationship between business site availability and economic development and the rationale for public sector industrial land development assistance. Results from a survey of local economic developers in Virginia are used to characterize industrial park absorption and occupant attributes. Using this information, ex-ante state economic and tax revenue impact analyses are performed for a state-funded industrial park development program serving a rural region of Virginia, the Tobacco Region Megasite Program. The paper examines conditions that affect the economic and tax revenue impact potential of industrial parks and highlights remaining information gaps.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90194939","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}
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.
{"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}
{"title":"What Landmarks Do Visitors Remember about a Place?","authors":"Todd Gabe","doi":"10.52324/001c.35254","DOIUrl":"https://doi.org/10.52324/001c.35254","url":null,"abstract":"","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":"83725658","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}
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.
{"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}
{"title":"The Effects of Tornadoes on Housing Prices in Moore, Oklahoma","authors":"Whoi Cho, Brian E. Whitacre, Claudia A Rhoades","doi":"10.52324/001c.34682","DOIUrl":"https://doi.org/10.52324/001c.34682","url":null,"abstract":"","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89306327","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}
: Land uses within the neighborhood where poor youths reside have important effects on their development and therefore may predict their welfare as adults. Mean household incomes as adults and teenage birth rates of youth growing up in poor households are predicted based upon the land uses within the neighborhood they occupied as teenagers. Controlling for an extensive set of neighborhood socioeconomic and demographic variables, land uses are found to add to our understanding of the characteristics of places with upward mobility. Differences in land use between white and minority youth neighborhoods are also found to explain racial gaps in adult outcomes.
{"title":"Neighborhood Land Uses as Predictors of the Upward Mobility of Poor Youth","authors":"K. Ihlanfeldt","doi":"10.52324/001c.34681","DOIUrl":"https://doi.org/10.52324/001c.34681","url":null,"abstract":": Land uses within the neighborhood where poor youths reside have important effects on their development and therefore may predict their welfare as adults. Mean household incomes as adults and teenage birth rates of youth growing up in poor households are predicted based upon the land uses within the neighborhood they occupied as teenagers. Controlling for an extensive set of neighborhood socioeconomic and demographic variables, land uses are found to add to our understanding of the characteristics of places with upward mobility. Differences in land use between white and minority youth neighborhoods are also found to explain racial gaps in adult outcomes.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90992162","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}
{"title":"Economic Downturn, Change in Unemployment, and the Midwest: A Quantile Regression Approach","authors":"Kathryn G. Arano, Arundhati Srinivasan","doi":"10.52324/001c.34680","DOIUrl":"https://doi.org/10.52324/001c.34680","url":null,"abstract":"","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76853458","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}
Vicente German-Soto, Alma Leticia Rodríguez Hernández
: This work proposes a new technique for measuring knowledge capital that applies the concept of Euclidian distance to factors often considered pillars of knowledge. Importantly, this methodological proposal can suitably treat variables assessed using different measurement units and scales. The empirical exercise considers the 32 Mexican states between 2000 and 2016, with results classifying the economies into high and low knowledge levels and estimates of the link between knowledge and economic growth, confirming the hypothesis of decreasing returns and demonstrating a positive relationship with knowledge capital. The conclusions recommend strengthening knowledge capital in all regions to boost economic growth and transition to a knowledge economy.
{"title":"Measuring Knowledge-capital Stock and Its Relationship with Economic Growth in the Mexican States","authors":"Vicente German-Soto, Alma Leticia Rodríguez Hernández","doi":"10.52324/001c.31062","DOIUrl":"https://doi.org/10.52324/001c.31062","url":null,"abstract":": This work proposes a new technique for measuring knowledge capital that applies the concept of Euclidian distance to factors often considered pillars of knowledge. Importantly, this methodological proposal can suitably treat variables assessed using different measurement units and scales. The empirical exercise considers the 32 Mexican states between 2000 and 2016, with results classifying the economies into high and low knowledge levels and estimates of the link between knowledge and economic growth, confirming the hypothesis of decreasing returns and demonstrating a positive relationship with knowledge capital. The conclusions recommend strengthening knowledge capital in all regions to boost economic growth and transition to a knowledge economy.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87620950","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}
: How states, as well as communities, have approached economic growth and development policy has varied over time, going through various stages or waves. The idea that we have gone through three such stages or waves has been widely discussed and studied by both academics and practitioners. In this address, I lay out a series of arguments that we have entered a fourth stage or wave in how communities approach economic growth and development. Specifically, communities are refocusing their attention less so on promoting business development and more on making their community attractive to people. Sometimes referred to as “place-making,” the idea is that if we make the community as attractive to people as possible, people will want to live in the community and create business opportunities. This shift from focusing on people rather than businesses is fundamental to how communities think about economic growth and development.
{"title":"Are We in the 4th Wave of Economic Development?","authors":"S. Deller","doi":"10.52324/001c.30813","DOIUrl":"https://doi.org/10.52324/001c.30813","url":null,"abstract":": How states, as well as communities, have approached economic growth and development policy has varied over time, going through various stages or waves. The idea that we have gone through three such stages or waves has been widely discussed and studied by both academics and practitioners. In this address, I lay out a series of arguments that we have entered a fourth stage or wave in how communities approach economic growth and development. Specifically, communities are refocusing their attention less so on promoting business development and more on making their community attractive to people. Sometimes referred to as “place-making,” the idea is that if we make the community as attractive to people as possible, people will want to live in the community and create business opportunities. This shift from focusing on people rather than businesses is fundamental to how communities think about economic growth and development.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89802885","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}
: Over 30,000 people die annually in automobile accidents in the United States, which equates to about 10 in every 100,000 deaths. Empirical evidence on the effectiveness of speed cameras is mixed primarily due to the endogeneity of the timing and placement of the cameras. I am able to circumvent these issues by leveraging multiple court cases and political infighting that turn the cameras off, on, and off again on two separate data sets. Using a before-after and a difference-in-differences estimator over a twenty-year period, I find all three exogenous shocks suggest roughly the same effect. Speed cameras are weakly effective at preventing the total number of monthly accidents (0.3), certain types of “Angle” accidents (0.15), and most importantly, the severity of those accidents (0.14), which equate to about an 18.5%, 20%, and 41% decrease respectively.
{"title":"Effects of Speed Cameras on Intersection Accidents: Evidence from Dayton","authors":"Kevin Willardsen","doi":"10.52324/001c.30972","DOIUrl":"https://doi.org/10.52324/001c.30972","url":null,"abstract":": Over 30,000 people die annually in automobile accidents in the United States, which equates to about 10 in every 100,000 deaths. Empirical evidence on the effectiveness of speed cameras is mixed primarily due to the endogeneity of the timing and placement of the cameras. I am able to circumvent these issues by leveraging multiple court cases and political infighting that turn the cameras off, on, and off again on two separate data sets. Using a before-after and a difference-in-differences estimator over a twenty-year period, I find all three exogenous shocks suggest roughly the same effect. Speed cameras are weakly effective at preventing the total number of monthly accidents (0.3), certain types of “Angle” accidents (0.15), and most importantly, the severity of those accidents (0.14), which equate to about an 18.5%, 20%, and 41% decrease respectively.","PeriodicalId":44865,"journal":{"name":"Review of Regional Studies","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82753370","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}
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