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{{Project|Has project output=Content|Has sponsor=McNair ProjectsCenter
|Has title=Startup Density Literature Review
|Has owner=Yunnie Huang
}}
==About==Below is a list of citations I have gathered looking up papers related to the research on Urban Start-up Agglomeration. They are organized into the three categories (1) about startups (2) about agglomeration in economics in general (3) use GIS data .The academic papers can be found in E drive -> McNair -> Projects -> Agglomeration -> Literature Review.
==Startups==
 
Are All Startups Affected Similarly by Clusters by Aviad Pe'er and Thomas Keil.
Cited by 44. Fit in both category (1) and (2)
year = {2008},
pages = {119--149}
 
Accelerators and the Regional Supply of Venture Capital Investment by Daniel Fehder and Yael Hochberg. Fit in category (1) and (2)
@techreport{fehder_accelerators_2014,
address = {Rochester, NY},
title = {Accelerators and the {Regional} {Supply} of {Venture} {Capital} {Investment}},
url = {https://papers.ssrn.com/abstract=2518668},
abstract = {Recent years have seen the rapid emergence of a new type of program aimed at seeding startup companies. These programs, often referred to as accelerators, differ from previously known seed-stage institutions such as incubators and angel groups. While proliferation of such accelerators is evident, evidence on efficacy and role of these programs is scant. Nonetheless, local governments and founders of such programs often cite the motivation for their establishment and funding as the desire to transform their local economies through the establishment of a startup technology cluster in their region. In this paper, we attempt to assess the impact that such programs can have on the entrepreneurial ecosystem of the regions in which they are established, by exploring the effects of accelerators on the availability and provision of seed and early stage venture capital funding in the local region.},
number = {ID 2518668},
urldate = {2017-11-06},
institution = {Social Science Research Network},
author = {Fehder, Daniel C. and Hochberg, Yael V.},
month = sep,
year = {2014},
keywords = {Accelerators and the Regional Supply of Venture Capital Investment, Daniel C. Fehder, SSRN, Yael V. Hochberg}
Aspiring, nascent and fledgling entrepreneurs: an investigation of the business start-up process by Beate Rotefoss and Lars Kolvereid. Cited by 262.
year = {2005},
pages = {109--127}
 
Firm Births, Access to Transit, and Agglomeration in Portland, Oregon, and Dallas by Daniel G. Chatman. Fit in both category (1) and (2).
@article{chatman_firm_2016,
title = {Firm {Births}, {Access} to {Transit}, and {Agglomeration} in {Portland}, {Oregon}, and {Dallas}, {Texas}},
volume = {2598},
issn = {0361-1981},
url = {http://trrjournalonline.trb.org/doi/abs/10.3141/2598-01},
doi = {10.3141/2598-01},
abstract = {The formation of new firms is one process by which economies grow and innovate. Public transportation services may facilitate the birth of new firms by both providing better access and causing local densification that leads to agglomeration economies. In this study firm births are investigated to determine how they are related to newly provided light rail transit service in two metropolitan areas in the United States. A geocoded time-series database of firm establishments in Dallas, Texas, and Portland, Oregon, from 1991 through 2008 is used. The data set allows the study of spatial patterns by industry and the analysis of the relationship of firm births to rail station proximity, accessibility, and local agglomeration while controlling for a number of potentially confounding factors. Positive, large, and statistically significant relationships are found in Portland between rail station proximity and firm births. The rail proximity results in Dallas are also generally positive, though not as large; this finding is consistent with the smaller accessibility value of rail in Dallas, as well as policies encouraging commercial development near rail in Portland. Rail proximity increases firm births across almost all industrial sectors in both of these metropolitan areas when controlling for the negative effects on firm births of local own-industry employment. Local block-level agglomeration and generalized accessibility are also highly significant but appear to work independently of rail access. These results imply that passenger rail service increases firm births near rail stations by expanding access to the labor market but not by increasing information spillovers or increasing face-to-face interactions.},
urldate = {2017-10-31},
journal = {Transportation Research Record: Journal of the Transportation Research Board},
author = {Chatman, Daniel G. and Noland, Robert B. and Klein, Nicholas J.},
month = jan,
year = {2016},
pages = {1--10}
 
Path-Dependent Startup Hubs - Comparing Metropolitan Performance: High-Tech and ICT Startup Density by Dane Stangler
@techreport{stangler_path-dependent_2013,
address = {Rochester, NY},
title = {Path-{Dependent} {Startup} {Hubs} - {Comparing} {Metropolitan} {Performance}: {High}-{Tech} and {ICT} {Startup} {Density}},
shorttitle = {Path-{Dependent} {Startup} {Hubs} - {Comparing} {Metropolitan} {Performance}},
url = {https://papers.ssrn.com/abstract=2321145},
abstract = {Kansas City and other areas viewed as "new" startup hubs actually have been fostering a culture of entrepreneurship for some time. Many of these cities have a history of strong technology sectors or experienced strong growth among technology startups over the past two decades. A strong regional or local culture of technology entrepreneurship is not a recent phenomenon, contrary to the opinions of many. The top 10 cities in 2010 also ranked among the top 20 cities two decades earlier.This analysis shows that many cities' recent adoption of new entrepreneurship programs is more an indication of the underlying strength of the region and its base of talent on which those programs can build than it is a cause of startup activity. Cities such as Kansas City, Seattle, Portland and Boise all owe their emerging entrepreneurial ecosystems to many years of spinoffs and entrepreneurial spawning.Research universities and other postsecondary institutions are important for metropolitan entrepreneurship, but are not the sole cause in spurring such activity. Instead, the most fertile source of entrepreneurial spawning is the population of existing companies, which has implications for economic policymaking and economic development strategies.Entrepreneurs come from somewhere - this seems obvious, but that observation runs against the prevailing stereotype that entrepreneurs are, or should be, recent college grads or college dropouts. That 'somewhere' usually is a previous job in a big company or at an institution, such as a university, which helps explain the age distribution of entrepreneurs.However, regions should be careful in turning these observations into policy. While spinoffs are important for tech startup growth, such a strategy could be wrongly interpreted as supporting traditional economic development strategies of tax incentives for big companies. More work must be done to understand the local and regional dynamics of entrepreneurship, barriers that may exist to catalyzing a self-fulfilling dynamic of entrepreneurial spinoffs and what the proper role of supporting institutions should be.},
number = {ID 2321145},
urldate = {2017-10-24},
institution = {Social Science Research Network},
author = {Stangler, Dane},
month = sep,
year = {2013},
keywords = {entrepreneur, local entrepreneurship, regional entrepreneurship, startup hub}
 
 
Clusters and entrepreneurship by Mercedes Delgado. Fit in category (1) and (2)
@article{delgado_clusters_2010,
title = {Clusters and entrepreneurship},
volume = {10},
issn = {1468-2702},
url = {https://academic.oup.com/joeg/article/10/4/495/913653},
doi = {10.1093/jeg/lbq010},
abstract = {This article examines the role of regional clusters in regional entrepreneurship. We focus on the distinct influences of convergence and agglomeration on growth in the number of start-up firms as well as in employment in these new firms in a given region-industry. While reversion to the mean and diminishing returns to entrepreneurship at the region-industry level can result in a convergence effect, the presence of complementary economic activity creates externalities that enhance incentives and reduce barriers for new business creation. Clusters are a particularly important way through which location-based complementarities are realized. The empirical analysis uses a novel panel dataset from the Longitudinal Business Database of the Census Bureau and the US Cluster Mapping Project. Using this dataset, there is significant evidence of the positive impact of clusters on entrepreneurship. After controlling for convergence in start-up activity at the region-industry level, industries located in regions with strong clusters (i.e. a large presence of other related industries) experience higher growth in new business formation and start-up employment. Strong clusters are also associated with the formation of new establishments of existing firms, thus influencing the location decision of multi-establishment firms. Finally, strong clusters contribute to start-up firm survival.},
number = {4},
urldate = {2017-11-06},
journal = {Journal of Economic Geography},
author = {Delgado, Mercedes and Porter, Michael E. and Stern, Scott},
month = jul,
year = {2010},
pages = {495--518}
==Agglomeration in Economics==
 
Chapter 49 - Evidence on the Nature and Sources of Agglomeration Economies by Stuart S. Rosenthal and William C. Strange. Cited by 2427.
@incollection{rosenthal_chapter_2004,
series = {Cities and {Geography}},
title = {Chapter 49 - {Evidence} on the {Nature} and {Sources} of {Agglomeration} {Economies}},
volume = {4},
url = {http://www.sciencedirect.com/science/article/pii/S1574008004800063},
abstract = {This paper considers the empirical literature on the nature and sources of urban increasing returns, also known as agglomeration economies. An important aspect of these externalities that has not been previously emphasized is that the effects of agglomeration extend over at least three different dimensions. These are the industrial, geographic, and temporal scope of economic agglomeration economies. In each case, the literature suggests that agglomeration economies attenuate with distance. Recently, the literature has also begun to provide evidence on the microfoundations of external economies of scale. The best known of these sources are those attributed to Marshall (1920): labor market pooling, input sharing, and knowledge spillovers. Evidence to date supports the presence of all three of these forces. In addition, there is also evidence that natural advantage, home market effects, consumption opportunities, and rent-seeking all contribute to agglomeration.},
urldate = {2017-10-28},
booktitle = {Handbook of {Regional} and {Urban} {Economics}},
publisher = {Elsevier},
author = {Rosenthal, Stuart S. and Strange, William C.},
editor = {Henderson, J. Vernon and Thisse, Jacques-François},
month = jan,
year = {2004},
note = {DOI: 10.1016/S1574-0080(04)80006-3},
keywords = {agglomeration economies, external economies, microfoundations, productivity, urban growth},
pages = {2119--2171}
 
Chapter 38 Agglomeration economies and urban public infrastructure by Eberts and McMillen. Cited by 252
@incollection{eberts_chapter_1999,
series = {Applied {Urban} {Economics}},
title = {Chapter 38 {Agglomeration} economies and urban public infrastructure},
volume = {3},
url = {http://www.sciencedirect.com/science/article/pii/S1574008099800078},
abstract = {This chapter reviews the theoretical and empirical literature on agglomeration economies and urban public infrastructure. Theory links the two concepts by positing that agglomeration economies exist when firms in an urban area share a public good as an input to production. One type of shareable input is the close proximity of businesses and labor, that generates positive externalities which in turn lower the production cost of one business as the output of other businesses increases. The externalities result from businesses sharing nonexcludable inputs, such as a common labor pool, technical expertise, general knowledge and personal contacts. Another perhaps more tangible type of shareable input is urban public infrastructure. Public capital stock, such as highways, water treatment facilities, and communication systems, directly affect the efficient operation of cities by facilitating business activities and improving worker productivity. The literature has devoted considerable attention to both topics, but not together. Studies of agglomeration economies in several countries find that manufacturing firms are more productive in large cities than in smaller ones. Studies of the effect of infrastructure on productivity show positive, but in some cases statistically insignificant, effects of public capital stock on productivity. Most of these studies are at the national and state levels. Only a handful of studies have focused on the metropolitan level, and even fewer have estimated agglomeration economies and infrastructure effects simultaneously. Results from studies that include both types of shared inputs suggest that both spatial proximity and physical infrastructure contribute positively to the productivity of firms in urban areas. More research is needed to explore the interrelationships between urban size and urban public infrastructure and to open the “black box” of agglomeration economies and estimate how the various other factors associated with urban size affect productivity.},
urldate = {2017-11-07},
booktitle = {Handbook of {Regional} and {Urban} {Economics}},
publisher = {Elsevier},
author = {Eberts, Randall W. and McMillen, Daniel P.},
month = jan,
year = {1999},
note = {DOI: 10.1016/S1574-0080(99)80007-8},
keywords = {Agglomeration economies, optimal city size, productivity, urban public infrastructure},
pages = {1455--1495}
 
Economics of Agglomeration by Masahisa Fujita and acques-François Thisse. Cited by 1055
@article{fujita_economics_1996,
title = {Economics of {Agglomeration}},
volume = {10},
issn = {0889-1583},
url = {http://www.sciencedirect.com/science/article/pii/S0889158396900210},
doi = {10.1006/jjie.1996.0021},
abstract = {We address the fundamental question arising in geographical economics: why do economic activities agglomerate in a small number of places? The main reasons for the formation of economic clusters involving firms and/or households are analyzed: (i) externalities under perfect competition; (ii) increasing returns under monopolistic competition; and (iii) spatial competition under strategic interaction. We review what has been accomplished in these three domains and identify a few general principles governing the organization of economic space. A few alternative, new approaches are also proposed.J. Japan. Int. Econ.,December 1996,10(4), pp. 339–378. Kyoto University and University of Pennsylvania; and CORE, Université Catholique de Louvain and CERAS–ENPC (URA 2036, CNRS).},
number = {4},
urldate = {2017-11-06},
journal = {Journal of the Japanese and International Economies},
author = {Fujita, Masahisa and Thisse, Jacques-François},
month = dec,
year = {1996},
pages = {339--378}
 
The New Economics Off Innovation, Spillovers And Agglomeration: A review Of Empirical Studies by Maryann P. Feldman. Cited by 932.
@article{feldman_new_1999,
pages = {5--25}
Chapter 49 - Evidence on the Nature and Sources of Agglomeration Economies by Stuart S. Rosenthal benefits and William C. Strange. Cited location choice by 2427Keith Head. @incollectionarticle{rosenthal_chapter_2004head_agglomeration_1995, series title = {Cities Agglomeration benefits and location choice: {GeographyEvidence}}, title = from {Chapter 49 - {EvidenceJapanese} on manufacturing investments in the {NatureUnited} and {SourcesStates} of }, volume = {Agglomeration38} , issn = {Economies}0022-1996}, volume shorttitle = {4Agglomeration benefits and location choice}, url = {http://www.sciencedirect.com/science/article/pii/S1574008004800063002219969401351R}, doi = {10.1016/0022-1996(94)01351-R}, abstract = {This paper considers Recent theories of economic geography suggest that firms in the empirical literature on same industry may be drawn to the nature and sources of urban increasing returns, also known as agglomeration economies. An important aspect of these same locations because proximity generates positive externalities that has not been previously emphasized is that the effects of agglomeration extend over at least three different dimensionsor ‘agglomeration effects’. These are the industrial, geographicUnder this view, chance events and temporal scope government inducements can have a lasting influence on the geographical pattern of economic agglomeration economies. In each case, the literature suggests that agglomeration economies attenuate with distancemanufacturing. RecentlyHowever, the literature has also begun to provide most evidence on the microfoundations causes and magnitude of external economies of scale. The best known of these sources are those attributed to Marshall (1920): labor market poolingindustry localization has been based on stories, input sharing, and knowledge spilloversrather than statistics. Evidence to date supports This paper examines the presence location choices of all three of these forces751 Japanese manufacturing plants built in the United States since 1980. In addition, there is also evidence Conditional logit estimates support the hypothesis that natural advantage, home market effects, consumption opportunities, and rentindustry-seeking all contribute to level agglomerationbenefits play an important role in location decisions.}, number = {3}, urldate = {2017-1011-2806}, booktitle journal = {Handbook Journal of International Economics}, author = {Head, Keith and Ries, John and Swenson, Deborah}, month = may, year = {1995}, keywords = {RegionalAgglomeration, Foreign direct investment} and , pages = {Urban223--247}  The knowledge spillover theory of entrepreneurship by Zoltan Acs. Cited by 1037 @article{acs_knowledge_2009, title = {EconomicsThe knowledge spillover theory of entrepreneurship}, volume = {32}, publisher issn = {Elsevier0921-898X, 1573-0913}, author url = {Rosenthalhttps://link.springer.com/article/10.1007/s11187-008-9157-3}, Stuart S doi = {10. 1007/s11187-008-9157-3}, abstract = {Contemporary theories of entrepreneurship generally focus on the recognition of opportunities and Strangethe decision to exploit them. Although the entrepreneurship literature treats opportunities as exogenous, William Cthe prevailing theory of economic growth suggests they are endogenous.This paper advances the microeconomic foundations of endogenous growth theory by developing a knowledge spillover theory of entrepreneurship. Knowledge created endogenously results in knowledge spillovers, which allow entrepreneurs to identify and exploit opportunities.}, language = {en}, number = {1}, urldate = {2017-11-10}, editor journal = {HendersonSmall Business Economics}, author = {Acs, Zoltan J. Vernon and ThisseBraunerhjelm, Jacques-FrançoisPontus and Audretsch, David B. and Carlsson, Bo},
month = jan,
year = {2009},
pages = {15--30}
 
Corporate Growth Convergence in Europe by Paul Geroski and Klaus Gugler. Cited by 179
@article{geroski_corporate_2004,
title = {Corporate {Growth} {Convergence} in {Europe}},
volume = {56},
issn = {0030-7653},
url = {http://www.jstor.org/stable/3488800},
abstract = {It is widely believed that the implementation of the Single Market Programme in 1992 has induced a transformation in industrial structures across Europe. Some people believe that it has driven Europe towards a common industrial structure. However, using a newly available database covering nearly every firm above 100 employees in 14 European countries over the time period 1994 to 1998, the hypothesis of convergence in corporate sizes within industries is unambiguously rejected by the data. A Gibrat process best describes the growth of very large and mature firms, but smaller and younger firms depart from this prediction. Pre-post 1992 comparisons using another database for larger listed firms reveal that the speed of convergence actually decreased post-1992.},
number = {4},
urldate = {2017-11-10},
journal = {Oxford Economic Papers},
author = {Geroski, Paul and Gugler, Klaus},
year = {2004},
note pages = {597--620} Regional Advantage by AnnaLee Saxenian. Cited by 11567 @misc{noauthor_regional_nodate, title = {Regional {Advantage} — {AnnaLee} {Saxenian} {\textbar} {Harvard} {University} {Press}}, url = {DOIhttp: 10//www.hup.harvard.1016edu/S1574-0080(04)80006-3catalog.php?isbn=9780674753402}, keywords abstract = {agglomeration economiesWhy is it that business in California's Silicon Valley flourished while along Route 128 in Massachusetts declined in the 90s? The answer, Saxenian suggests, external economieshas to do with the fact that despite similar histories and technologies, microfoundationsSilicon Valley developed a decentralized but cooperative industrial system while Route 128 came to be dominated by independent, productivityself-sufficient corporations. The result of more than one hundred interviews, urban growththis compelling analysis highlights the importance of local sources of competitive advantage in a volatile world economy.}, pages urldate = {21192017-11-217110}
==GIS mapping==
Geography, Industrial Organization, and Agglomeration by Stuart S. Rosenthal and William C. Strange. Cited by 1238. Fit in category (2) and (3)
pages = {377--393}
Firm Births, Access to Transit, and Agglomeration Where is Creativity in Portland, Oregon, the City? Integrating Qualitative and Dallas GIS Methods by Daniel G. ChatmanChris Brennan-Horley and Chris Gibson @article{chatman_firm_2016brennan-horley_where_2009, title = {Firm Where is {BirthsCreativity}, in the {Access} to {TransitCity}, and ? {AgglomerationIntegrating} in {PortlandQualitative}, {Oregon}, and {DallasGIS}, {TexasMethods}}, volume = {259841}, issn = {03610308-1981518X}, shorttitle = {Where is {Creativity} in the {City}?}, url = {httphttps://trrjournalonline.trbdoi.org/doi/abs/10.31411068/2598-01a41406}, doi = {10.31411068/2598-01a41406}, abstract = {The formation of This paper discusses a new firms is one process by which economies grow and innovate. Public transportation services may facilitate the birth blend of new firms by both providing better access and causing local densification that leads to agglomeration economies. In this study firm births are investigated to determine how they are related methods developed to newly provided light rail transit service in two metropolitan areas in answer the United States. A geocoded time-series database question of firm establishments where creativity is in Dallas, Texas, and Portland, Oregon, from 1991 through 2008 is usedthe city. The data set allows the study Experimentation with new methods was required because of spatial patterns by industry and the analysis empirical shortcomings with existing creative city research techniques; but also to respond to increasingly important questions of where nascent economic activities occur outside the relationship of firm births to rail station proximity, accessibilityformal sector, and local agglomeration while controlling for a number governmental spheres of potentially confounding factors. Positive, large, planning and statistically significant relationships are found in Portland between rail station proximity and firm birthseconomic development policy. The rail proximity results in Dallas are also generally positiveIn response we discuss here how qualitative methods can be used to address such concerns, though not as large; this finding is consistent based on experiences from an empirical project charged with the smaller accessibility value task of rail documenting creative activity in Dallas, as well as policies encouraging commercial development near rail Darwin—a small city in PortlandAustralia's tropical north. Rail proximity increases firm births across almost all industrial sectors in both of these metropolitan areas when controlling for Diverse creative practitioners were interviewed about their interactions with the negative effects on firm births of local owncity—and hard-industry employmentcopy maps were used as anchoring devices around spatially orientated interview questions. Local blockResults from this interview-level agglomeration mapping process were accumulated and generalized accessibility are also highly significant but appear to work independently of rail accessanalysed in a geographical information system (GIS). These results imply that passenger rail service increases firm births near rail stations Digital maps produced by expanding access to the labor market but not by increasing information spillovers or increasing face-to-face interactions.}, urldate = {2017-10-31}, journal = {Transportation Research Record: Journal this method revealed patterns of the Transportation Research Board}, author = {Chatman, Daniel G. concentration and Nolandimagined ‘epicentres’ of creativity in Darwin, Robert B. and Klein, Nicholas J.}, month = jan, year = {2016}, pages = {1--10} Path-Dependent Startup Hubs - Comparing Metropolitan Performance: High-Tech showed how types of sites and ICT Startup Density by Dane Stangler @techreport{stangler_path-dependent_2013, address = {Rochester, NY}, title = {Path-{Dependent} {Startup} {Hubs} - {Comparing} {Metropolitan} {Performance}: {High}-{Tech} and {ICT} {Startup} {Density}}, shorttitle = {Path-{Dependent} {Startup} {Hubs} - {Comparing} {Metropolitan} {Performance}}, url = {https://papers.ssrn.com/abstract=2321145}, abstract = {Kansas City and other areas viewed spaces of the city are imagined as "new" startup hubs actually have been fostering a culture of entrepreneurship for some time‘creative’ in different ways. Many Qualitative mapping of these cities have a history creativity enabled the teasing out of strong technology sectors or experienced strong growth among technology startups over the past two decades. A strong regional or local culture contradictory and divergent stories of technology entrepreneurship is not a recent phenomenon, contrary to the opinions location of many. The top 10 cities creativity in 2010 also ranked among the top 20 cities two decades earlierurban landscape.This analysis shows that many cities' recent adoption of new entrepreneurship programs is more an indication of the underlying strength of the region and its base of talent on The opportunities which those programs can build than it is a cause of startup activity. Cities such as Kansas City, Seattle, Portland and Boise all owe their emerging entrepreneurial ecosystems to many years of spinoffs and entrepreneurial spawning.Research universities and other postsecondary institutions are important methods present for metropolitan entrepreneurship, but are not the sole cause researchers interested in spurring such activity. Instead, the most fertile source of entrepreneurial spawning is the population of existing companies, which has implications for economic policymaking and how economic development strategies.Entrepreneurs come from somewhere - this seems obvious, but that observation runs against the prevailing stereotype that entrepreneurs activities are‘lived’ by workers, or should besituated in social networks, recent college grads or college dropouts. That 'somewhere' usually is a previous job and reproduced in a big company or at an institutioneveryday, such as a universitymaterial, which helps explain spaces of the age distribution of entrepreneurs.However, regions should be careful in turning these observations into policy. While spinoffs city are important for tech startup growth, such a strategy could be wrongly interpreted as supporting traditional economic development strategies of tax incentives for big companiesdescribed. More work must be done to understand the local and regional dynamics of entrepreneurship}, barriers that may exist to catalyzing a self-fulfilling dynamic of entrepreneurial spinoffs and what the proper role of supporting institutions should be. language = {en}, number = {ID 232114511}, urldate = {2017-1011-2407}, institution journal = {Social Science Research NetworkEnvironment and Planning A}, author = {StanglerBrennan-Horley, DaneChris and Gibson, Chris}, month = sepnov, year = {20132009}, keywords pages = {entrepreneur, local entrepreneurship, regional entrepreneurship, startup hub2595--2614}

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