Pub Date : 2024-09-14DOI: 10.1177/08912424241279561
Kelsey Carlston, Yehua Dennis Wei
Characteristics of sprawl, like decreased social cohesion and lower accessibility to jobs and services, could negatively affect economic opportunity and intergenerational mobility. City-level studies have found mixed results, but neighborhood effects have been largely ignored. This study uses census tract and city-level data in a multilevel model to develop a richer understanding of the scale-dependent relationship between sprawl and intergenerational mobility. The authors found that a 1 standard deviation (SD) increase in sprawl at the tract level is associated with a 0.07 SD decrease in upward economic mobility, while a 1 SD increase in city-level sprawl is associated with a 0.08 SD decrease. Sprawl negatively affects upward intergenerational mobility at the metropolitan level and the census tract level. The negative relationship of economic outcomes to sprawl does not hold for high-income children, indicating that there may be conflicting benefits for different income families. Policy makers should understand these conflicting pressures.
{"title":"Urban Sprawl and Intergenerational Mobility: City- and Neighborhood-Level Effects of Sprawl","authors":"Kelsey Carlston, Yehua Dennis Wei","doi":"10.1177/08912424241279561","DOIUrl":"https://doi.org/10.1177/08912424241279561","url":null,"abstract":"Characteristics of sprawl, like decreased social cohesion and lower accessibility to jobs and services, could negatively affect economic opportunity and intergenerational mobility. City-level studies have found mixed results, but neighborhood effects have been largely ignored. This study uses census tract and city-level data in a multilevel model to develop a richer understanding of the scale-dependent relationship between sprawl and intergenerational mobility. The authors found that a 1 standard deviation (SD) increase in sprawl at the tract level is associated with a 0.07 SD decrease in upward economic mobility, while a 1 SD increase in city-level sprawl is associated with a 0.08 SD decrease. Sprawl negatively affects upward intergenerational mobility at the metropolitan level and the census tract level. The negative relationship of economic outcomes to sprawl does not hold for high-income children, indicating that there may be conflicting benefits for different income families. Policy makers should understand these conflicting pressures.","PeriodicalId":47367,"journal":{"name":"Economic Development Quarterly","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-03DOI: 10.1177/08912424241271142
Jun Yeong Lee, John V. Winters
Immigrants in the United States have higher self-employment rates than native-born Americans. However, immigrant self-employment rates vary considerably across areas of the country. The authors examine the percentage of immigrant workers in local areas who are self-employed (i.e., the self-employment rate for the foreign born). Areas with colder winter temperatures have especially low self-employment rates among their immigrant populations compared to warmer areas. The relationship between winter temperature and immigrant self-employment persists after controlling for numerous individual and local area characteristics. The relationship holds for numerous subsamples of immigrants but is strongest for immigrants arriving to the United States as adults. Child immigrants and native-born Americans exhibit a weaker relationship, possibly because of previous exposure and attachment to particular locations chosen by their parents that constrain the migration responses of potential entrepreneurs. Entrepreneurial immigrants arriving to the country as adults appear especially footloose and particularly responsive to January temperatures in their location decisions.
{"title":"Too Cold to Venture There? January Temperature and Immigrant Self-Employment Across the United States","authors":"Jun Yeong Lee, John V. Winters","doi":"10.1177/08912424241271142","DOIUrl":"https://doi.org/10.1177/08912424241271142","url":null,"abstract":"Immigrants in the United States have higher self-employment rates than native-born Americans. However, immigrant self-employment rates vary considerably across areas of the country. The authors examine the percentage of immigrant workers in local areas who are self-employed (i.e., the self-employment rate for the foreign born). Areas with colder winter temperatures have especially low self-employment rates among their immigrant populations compared to warmer areas. The relationship between winter temperature and immigrant self-employment persists after controlling for numerous individual and local area characteristics. The relationship holds for numerous subsamples of immigrants but is strongest for immigrants arriving to the United States as adults. Child immigrants and native-born Americans exhibit a weaker relationship, possibly because of previous exposure and attachment to particular locations chosen by their parents that constrain the migration responses of potential entrepreneurs. Entrepreneurial immigrants arriving to the country as adults appear especially footloose and particularly responsive to January temperatures in their location decisions.","PeriodicalId":47367,"journal":{"name":"Economic Development Quarterly","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-29DOI: 10.1177/08912424241274318
Gigi Jones, Christiana McFarland, Michael Lee, Christa Reid, Emma Rose, Jacob Gottlieb, Ilan Falcon
Several regions throughout the country are at a crossroads in identifying and developing a sizeable workforce to support President Biden's 2030 zero-emission goals. This case study investigates the Youngstown–Warren–Boardman region's burgeoning viability in supplying the needed workers in its local electric vehicle battery manufacturing industry. This article presents findings from a mixed-methods approach that includes a supply–demand analysis of the region using Lightcast job-postings data; an analysis of the National Labor Exchange data to identify the most common and desirable skills by employers; a curriculum mapping analysis of local educational institutions training programs; and a cost–benefit analysis of program-educated employees that compares employees with only a high school education. Regional stakeholder interviews verified and clarified the findings. The authors conclude with a few partnership-driven recommendations that provide opportunities to strengthen and expand the electric vehicle battery manufacturing workforce for the Youngstown–Warren–Boardman and similar regions.
{"title":"Identifying and Developing the Battery Manufacturing Workforce: A Regional Analysis of Supply–Demand of Skilled Workers","authors":"Gigi Jones, Christiana McFarland, Michael Lee, Christa Reid, Emma Rose, Jacob Gottlieb, Ilan Falcon","doi":"10.1177/08912424241274318","DOIUrl":"https://doi.org/10.1177/08912424241274318","url":null,"abstract":"Several regions throughout the country are at a crossroads in identifying and developing a sizeable workforce to support President Biden's 2030 zero-emission goals. This case study investigates the Youngstown–Warren–Boardman region's burgeoning viability in supplying the needed workers in its local electric vehicle battery manufacturing industry. This article presents findings from a mixed-methods approach that includes a supply–demand analysis of the region using Lightcast job-postings data; an analysis of the National Labor Exchange data to identify the most common and desirable skills by employers; a curriculum mapping analysis of local educational institutions training programs; and a cost–benefit analysis of program-educated employees that compares employees with only a high school education. Regional stakeholder interviews verified and clarified the findings. The authors conclude with a few partnership-driven recommendations that provide opportunities to strengthen and expand the electric vehicle battery manufacturing workforce for the Youngstown–Warren–Boardman and similar regions.","PeriodicalId":47367,"journal":{"name":"Economic Development Quarterly","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-28DOI: 10.1177/08912424241271163
Christopher J. O’Leary, Kevin Doyle, Ben Damerow, Kenneth J. Kline, Beth C. Truesdale, Salomon Orellana, Randall W. Eberts, Amy Meyers, Anna Wilcoxson, Scott Powell
Career Explorer provides customized career exploration tools for workforce development staff and job seekers in Michigan. There are two separate Career Explorer modules: a staff-mediated service and a self-service for job seekers. The system was developed by the Michigan Center for Data and Analytics in collaboration with the W.E. Upjohn Institute for Employment Research and Michigan Works! Southwest. It was funded by the U.S. Department of Labor's Office of Workforce Investment and the Schmidt Futures’ Data for the American Dream (D4AD) project. In this paper, the authors describe the machine learning models behind the predictive analytics of the frontline staff-mediated version of Career Explorer. These models were trained on program administrative data. Additionally, the authors describe the self-service version of Career Explorer, which provides clients with customized labor market information based on published U.S. Bureau of Labor Statistics data. Career Explorer became an active feature of Michigan's online reemployment services system in June 2021.
Career Explorer 为密歇根州的劳动力开发人员和求职者提供定制的职业探索工具。Career Explorer 有两个独立的模块：以工作人员为媒介的服务和求职者自助服务。该系统由密歇根数据与分析中心（Michigan Center for Data and Analytics）与 W.E. Upjohn 就业研究所（W.E. Upjohn Institute for Employment Research）和密歇根工作（Michigan Works）合作开发！Southwest 合作开发的。该系统由美国劳工部劳动力投资办公室和 Schmidt Futures 的 "美国梦数据"（D4AD）项目资助。在本文中，作者介绍了以一线员工为媒介的 Career Explorer 预测分析模型背后的机器学习模型。这些模型是在项目管理数据的基础上进行训练的。此外，作者还介绍了 Career Explorer 的自助服务版本，该版本根据美国劳工统计局公布的数据为客户提供定制的劳动力市场信息。Career Explorer 于 2021 年 6 月成为密歇根州在线再就业服务系统的一个活跃功能。
{"title":"Predictive Analytics Supporting Labor Market Success: A Career Explorer for Job Seekers and Workforce Professionals in Michigan","authors":"Christopher J. O’Leary, Kevin Doyle, Ben Damerow, Kenneth J. Kline, Beth C. Truesdale, Salomon Orellana, Randall W. Eberts, Amy Meyers, Anna Wilcoxson, Scott Powell","doi":"10.1177/08912424241271163","DOIUrl":"https://doi.org/10.1177/08912424241271163","url":null,"abstract":"Career Explorer provides customized career exploration tools for workforce development staff and job seekers in Michigan. There are two separate Career Explorer modules: a staff-mediated service and a self-service for job seekers. The system was developed by the Michigan Center for Data and Analytics in collaboration with the W.E. Upjohn Institute for Employment Research and Michigan Works! Southwest. It was funded by the U.S. Department of Labor's Office of Workforce Investment and the Schmidt Futures’ Data for the American Dream (D4AD) project. In this paper, the authors describe the machine learning models behind the predictive analytics of the frontline staff-mediated version of Career Explorer. These models were trained on program administrative data. Additionally, the authors describe the self-service version of Career Explorer, which provides clients with customized labor market information based on published U.S. Bureau of Labor Statistics data. Career Explorer became an active feature of Michigan's online reemployment services system in June 2021.","PeriodicalId":47367,"journal":{"name":"Economic Development Quarterly","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-28DOI: 10.1177/08912424241276845
Kathleen Bolter, Nicholas Martens
The demand for workers with information technology skills is high, creating a challenge for today's workforce system to train enough people. In response, nonprofit organizations and workforce development agencies have developed place-based training programs for information technology jobs. The intricate nature of these jobs necessitates innovative training approaches that address both technical proficiency and cultural competence. Drawing from interviews and case studies, this analysis highlights the importance of rigorous prescreening processes, structured support for graduates transitioning to employment, and collaboration with employers in ensuring the success and sustainability of place-based information technology training programs. It is recommended that programs incorporate these elements into their design to effectively meet the demands of the labor market and foster diversity and inclusion within the technology sector.
{"title":"Can Anyone Learn to Code? A Qualitative Study of Place-Based Information Technology Training Programs","authors":"Kathleen Bolter, Nicholas Martens","doi":"10.1177/08912424241276845","DOIUrl":"https://doi.org/10.1177/08912424241276845","url":null,"abstract":"The demand for workers with information technology skills is high, creating a challenge for today's workforce system to train enough people. In response, nonprofit organizations and workforce development agencies have developed place-based training programs for information technology jobs. The intricate nature of these jobs necessitates innovative training approaches that address both technical proficiency and cultural competence. Drawing from interviews and case studies, this analysis highlights the importance of rigorous prescreening processes, structured support for graduates transitioning to employment, and collaboration with employers in ensuring the success and sustainability of place-based information technology training programs. It is recommended that programs incorporate these elements into their design to effectively meet the demands of the labor market and foster diversity and inclusion within the technology sector.","PeriodicalId":47367,"journal":{"name":"Economic Development Quarterly","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-26DOI: 10.1177/08912424241271259
Huixin Zheng, Nicholas Marantz, Jae Hong Kim, John R. Hipp
California pioneered the use of tax increment finance (TIF) to promote redevelopment, but in 2012 all redevelopment agencies in the state were simultaneously (and unexpectedly) dissolved, essentially eliminating TIF-supported redevelopment in California. This paper uses hedonic methods to analyze changes in residential property values associated with the dissolution of TIF districts in five cities in northern Orange County. If TIF is necessary for (re)development in the TIF districts, then the unexpected elimination of TIF-funded redevelopment should have reduced property values. The authors find that, within the study area, the elimination of TIF was not associated with decreases in residential values within TIF districts, and quality-adjusted home prices in and near former TIF districts continued to grow at a rate at least comparable to citywide rates in the aftermath of the dissolution. These findings raise the concern that TIF may function as a tool for revenue capture before the TIF districts reach the anticipated expiration dates. In the absence of significant regulatory safeguards, TIF may be used to capture revenue from overlapping governments, instead of serving as an engine of economic development.
{"title":"Dissolving Districts: Did Property Values Fall When California Terminated Its Redevelopment Agencies?","authors":"Huixin Zheng, Nicholas Marantz, Jae Hong Kim, John R. Hipp","doi":"10.1177/08912424241271259","DOIUrl":"https://doi.org/10.1177/08912424241271259","url":null,"abstract":"California pioneered the use of tax increment finance (TIF) to promote redevelopment, but in 2012 all redevelopment agencies in the state were simultaneously (and unexpectedly) dissolved, essentially eliminating TIF-supported redevelopment in California. This paper uses hedonic methods to analyze changes in residential property values associated with the dissolution of TIF districts in five cities in northern Orange County. If TIF is necessary for (re)development in the TIF districts, then the unexpected elimination of TIF-funded redevelopment should have reduced property values. The authors find that, within the study area, the elimination of TIF was not associated with decreases in residential values within TIF districts, and quality-adjusted home prices in and near former TIF districts continued to grow at a rate at least comparable to citywide rates in the aftermath of the dissolution. These findings raise the concern that TIF may function as a tool for revenue capture before the TIF districts reach the anticipated expiration dates. In the absence of significant regulatory safeguards, TIF may be used to capture revenue from overlapping governments, instead of serving as an engine of economic development.","PeriodicalId":47367,"journal":{"name":"Economic Development Quarterly","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-06DOI: 10.1177/08912424241268284
Adam Scavette
South Carolina offered Boeing nearly $1 billion to locate a 787 Dreamliner assembly plant in North Charleston, which opened in 2011. Using difference-in-differences and synthetic difference-in-differences estimators, the author finds a substantial impact of the plant on South Carolina's aerospace employment (311% or 6,000 jobs), wages (10%), and establishments (44%) in the subsequent decade. The estimated number of aerospace jobs generated by the plant exceeds Boeing's 3,800 promised jobs. However, much of the state's aerospace establishment growth does not appear to be directly related to the Boeing plant, with most of it occurring in the upstate region (Greenville, Spartanburg) late in the treatment period. An analysis of the Charleston metropolitan area's economy reveals a 5-year local employment multiplier of 2.6 per promised job.
{"title":"Aerospace Place-Based Policy: The Impact of Boeing on South Carolina's Aerospace Industry","authors":"Adam Scavette","doi":"10.1177/08912424241268284","DOIUrl":"https://doi.org/10.1177/08912424241268284","url":null,"abstract":"South Carolina offered Boeing nearly $1 billion to locate a 787 Dreamliner assembly plant in North Charleston, which opened in 2011. Using difference-in-differences and synthetic difference-in-differences estimators, the author finds a substantial impact of the plant on South Carolina's aerospace employment (311% or 6,000 jobs), wages (10%), and establishments (44%) in the subsequent decade. The estimated number of aerospace jobs generated by the plant exceeds Boeing's 3,800 promised jobs. However, much of the state's aerospace establishment growth does not appear to be directly related to the Boeing plant, with most of it occurring in the upstate region (Greenville, Spartanburg) late in the treatment period. An analysis of the Charleston metropolitan area's economy reveals a 5-year local employment multiplier of 2.6 per promised job.","PeriodicalId":47367,"journal":{"name":"Economic Development Quarterly","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.1177/08912424241265331
Jenna E. Myers
While workforce development can create skilled workers and better jobs, employer engagement is often limited. This article analyzes the case of Tennessee Pathways and draws on interviews with highly engaged employers, including those that hosted youth worker interns. The author investigates how employers accounted for their involvement and how program design shaped the benefits they perceived. Despite a traditional focus on skills gaps, the author finds that most employers sustained their engagement due to workforce challenges rooted in a mismatch between new hires’ expectations and the realities of the job, which resulted in high turnover of incumbent adult workers. Employers perceived that youth programs addressed this issue by fostering “career embeddedness” and deepening youth workers’ commitment to a nascent career interest or by redirecting them to other viable options. The author argues that practitioners should promote the potential of workforce development to yield long-term workforce reproduction and next-generation career development.
{"title":"What Motivates Employer Engagement? Promoting Youth Career Embeddedness in Two Tennessee Regions","authors":"Jenna E. Myers","doi":"10.1177/08912424241265331","DOIUrl":"https://doi.org/10.1177/08912424241265331","url":null,"abstract":"While workforce development can create skilled workers and better jobs, employer engagement is often limited. This article analyzes the case of Tennessee Pathways and draws on interviews with highly engaged employers, including those that hosted youth worker interns. The author investigates how employers accounted for their involvement and how program design shaped the benefits they perceived. Despite a traditional focus on skills gaps, the author finds that most employers sustained their engagement due to workforce challenges rooted in a mismatch between new hires’ expectations and the realities of the job, which resulted in high turnover of incumbent adult workers. Employers perceived that youth programs addressed this issue by fostering “career embeddedness” and deepening youth workers’ commitment to a nascent career interest or by redirecting them to other viable options. The author argues that practitioners should promote the potential of workforce development to yield long-term workforce reproduction and next-generation career development.","PeriodicalId":47367,"journal":{"name":"Economic Development Quarterly","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141776091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.1177/08912424241264546
Teresa M. Lynch, Robert Manduca
Geographers, economists, and urban planners have long distinguished between “local” industries that serve geographically proximate customers and “traded” industries that serve customers around the country or across the globe. This study uses newly developed, high-quality data to provide evidence of a third major industry market area type, which the authors term “regional” industries. Regional industries serve market areas larger than a U.S. county and smaller than a state, with employment found in most metropolitan areas, but spatially concentrated within each metro area. Paradigmatic regional industries include business-to-business services, like facilities maintenance and logistics, and some types of manufacturing, like craft brewing. Regional industries have a distinct economic profile: their customers are often other businesses rather than consumers, they pay higher average wages than local industries, and they offer more entrepreneurship opportunities than traded industries. In total, regional industries accounted for an estimated 31% of U.S. employment and 33% of gross domestic product in 2021.
{"title":"Beyond Local and Traded: Evidence for a Third Industry Market Area Type and Implications for Regional Economic Development","authors":"Teresa M. Lynch, Robert Manduca","doi":"10.1177/08912424241264546","DOIUrl":"https://doi.org/10.1177/08912424241264546","url":null,"abstract":"Geographers, economists, and urban planners have long distinguished between “local” industries that serve geographically proximate customers and “traded” industries that serve customers around the country or across the globe. This study uses newly developed, high-quality data to provide evidence of a third major industry market area type, which the authors term “regional” industries. Regional industries serve market areas larger than a U.S. county and smaller than a state, with employment found in most metropolitan areas, but spatially concentrated within each metro area. Paradigmatic regional industries include business-to-business services, like facilities maintenance and logistics, and some types of manufacturing, like craft brewing. Regional industries have a distinct economic profile: their customers are often other businesses rather than consumers, they pay higher average wages than local industries, and they offer more entrepreneurship opportunities than traded industries. In total, regional industries accounted for an estimated 31% of U.S. employment and 33% of gross domestic product in 2021.","PeriodicalId":47367,"journal":{"name":"Economic Development Quarterly","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141785480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-22DOI: 10.1177/08912424241254797
David Neumark, Emma Wohl
Are state job creation policies evidence-based? The authors present a case study of California's extensive set of job creation policies. The authors identify tax credits, grants, loans, entrepreneur training and assistance, and worker training and assistance policies, and estimate their costs. They synthesize what evidence there is on policy effectiveness. There is good evidence for a small number of state job creation policies, sometimes pointing to success in creating or retaining jobs. But for many state policies there is no evidence on effectiveness, or the evidence does not establish that the policy works.
{"title":"Flying Blind on Job Creation Policies? A Case Study of California","authors":"David Neumark, Emma Wohl","doi":"10.1177/08912424241254797","DOIUrl":"https://doi.org/10.1177/08912424241254797","url":null,"abstract":"Are state job creation policies evidence-based? The authors present a case study of California's extensive set of job creation policies. The authors identify tax credits, grants, loans, entrepreneur training and assistance, and worker training and assistance policies, and estimate their costs. They synthesize what evidence there is on policy effectiveness. There is good evidence for a small number of state job creation policies, sometimes pointing to success in creating or retaining jobs. But for many state policies there is no evidence on effectiveness, or the evidence does not establish that the policy works.","PeriodicalId":47367,"journal":{"name":"Economic Development Quarterly","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141744190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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