利润池和潜在县级制造业增长的决定因素

IF 1.8 3区 经济学 Q3 ENVIRONMENTAL STUDIES International Regional Science Review Pub Date : 2021-07-08 DOI:10.1177/01600176211028761
C. Carpenter, Anders Van Sandt, R. Dudensing, S. Loveridge
{"title":"利润池和潜在县级制造业增长的决定因素","authors":"C. Carpenter, Anders Van Sandt, R. Dudensing, S. Loveridge","doi":"10.1177/01600176211028761","DOIUrl":null,"url":null,"abstract":"Business location research often focuses on evaluating specific policies or explaining outcomes for a particular region. Further, the micro-foundations of random profit maximization supporting manufacturing location analysis often lack the intuitive nature of demand thresholds. While this article maintains these micro-foundations, it introduces a unifying concept of profit pools and examines how proximate supply/cost factors determine potential local manufacturing size. The approach avoids a number of limitations associated with other locational choice models. Restricted-access establishment-level data from the Longitudinal Business Database along with secondary data sources produce a model to estimate county-level contributors to outcomes of manufacturing establishment growth and consolidation. The analysis offers improved methods and accuracy for modeling establishment location outcomes, including accuracy in measuring industry size and methods for choosing among various count data distributions. The locational factors associated with county-level potential for manufacturing vary in magnitude and significance depending on the type of manufacturing, while affirming the importance of agglomeration across manufacturing types.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"188 - 224"},"PeriodicalIF":1.8000,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/01600176211028761","citationCount":"3","resultStr":"{\"title\":\"Profit Pools and Determinants of Potential County-Level Manufacturing Growth\",\"authors\":\"C. Carpenter, Anders Van Sandt, R. Dudensing, S. Loveridge\",\"doi\":\"10.1177/01600176211028761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Business location research often focuses on evaluating specific policies or explaining outcomes for a particular region. Further, the micro-foundations of random profit maximization supporting manufacturing location analysis often lack the intuitive nature of demand thresholds. While this article maintains these micro-foundations, it introduces a unifying concept of profit pools and examines how proximate supply/cost factors determine potential local manufacturing size. The approach avoids a number of limitations associated with other locational choice models. Restricted-access establishment-level data from the Longitudinal Business Database along with secondary data sources produce a model to estimate county-level contributors to outcomes of manufacturing establishment growth and consolidation. The analysis offers improved methods and accuracy for modeling establishment location outcomes, including accuracy in measuring industry size and methods for choosing among various count data distributions. The locational factors associated with county-level potential for manufacturing vary in magnitude and significance depending on the type of manufacturing, while affirming the importance of agglomeration across manufacturing types.\",\"PeriodicalId\":51507,\"journal\":{\"name\":\"International Regional Science Review\",\"volume\":\"45 1\",\"pages\":\"188 - 224\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/01600176211028761\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Regional Science Review\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1177/01600176211028761\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Regional Science Review","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1177/01600176211028761","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 3

摘要

商业区位研究通常侧重于评估特定政策或解释特定地区的结果。此外,支持制造区位分析的随机利润最大化的微观基础往往缺乏需求阈值的直观性质。虽然本文保留了这些微观基础,但它引入了一个统一的利润池概念,并研究了近似供应/成本因素如何决定潜在的本地制造规模。该方法避免了与其他位置选择模型相关的许多限制。来自纵向业务数据库的受限访问的企业级数据以及辅助数据源产生了一个模型,用于估计制造业企业增长和整合结果的县级贡献者。该分析为企业选址结果建模提供了改进的方法和准确性,包括测量行业规模的准确性和在各种计数数据分布中进行选择的方法。与县域制造业潜力相关的区位因素在大小和重要性上因制造业类型而异,同时肯定了制造业集聚的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Profit Pools and Determinants of Potential County-Level Manufacturing Growth
Business location research often focuses on evaluating specific policies or explaining outcomes for a particular region. Further, the micro-foundations of random profit maximization supporting manufacturing location analysis often lack the intuitive nature of demand thresholds. While this article maintains these micro-foundations, it introduces a unifying concept of profit pools and examines how proximate supply/cost factors determine potential local manufacturing size. The approach avoids a number of limitations associated with other locational choice models. Restricted-access establishment-level data from the Longitudinal Business Database along with secondary data sources produce a model to estimate county-level contributors to outcomes of manufacturing establishment growth and consolidation. The analysis offers improved methods and accuracy for modeling establishment location outcomes, including accuracy in measuring industry size and methods for choosing among various count data distributions. The locational factors associated with county-level potential for manufacturing vary in magnitude and significance depending on the type of manufacturing, while affirming the importance of agglomeration across manufacturing types.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.50
自引率
13.00%
发文量
26
期刊介绍: International Regional Science Review serves as an international forum for economists, geographers, planners, and other social scientists to share important research findings and methodological breakthroughs. The journal serves as a catalyst for improving spatial and regional analysis within the social sciences and stimulating communication among the disciplines. IRSR deliberately helps define regional science by publishing key interdisciplinary survey articles that summarize and evaluate previous research and identify fruitful research directions. Focusing on issues of theory, method, and public policy where the spatial or regional dimension is central, IRSR strives to promote useful scholarly research that is securely tied to the real world.
期刊最新文献
A Spatial Econometric Analysis of Productivity Variations Across US Cities Neighborhood Food Accessibility and Health Disparity: Examining the Impact of COVID-19 Using Spatial Models The Long Shadow of a Major Disaster: Modeled Dynamic Impacts of the Hypothetical HayWired Earthquake on California’s Economy A Review of the Literature About Broadband Internet Connections and Rural Development (1995-2022) Regional Implications of COVID-19
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1