This paper evaluates the role of regional cluster composition in the economic performance of industries, clusters and regions. On the one hand, diminishing returns to specialization in a location can result in a convergence effect: the growth rate of an industry within a region may be declining in the level of activity of that industry. At the same time, positive spillovers across complementary economic activities provide an impetus for agglomeration: the growth rate of an industry within a region may be increasing in the size and strength (i.e., relative presence) of related economic sectors. Building on Porter (1998, 2003), we develop a systematic empirical framework to identify the role of regional clusters ' groups of closely related and complementary industries operating within a particular region in regional economic performance. We exploit newly available data from the US Cluster Mapping Project to disentangle the impact of convergence at the region-industry level from agglomeration within clusters. We find that, after controlling for the impact of convergence at the narrowest unit of analysis, there is significant evidence for cluster-driven agglomeration. Industries participating in a strong cluster register higher employment growth as well as higher growth of wages, number of establishments, and patenting. Industry and cluster level growth also increases with the strength of related clusters in the region and with the strength of similar clusters in adjacent regions. Importantly, we find evidence that new industries emerge where there is a strong cluster environment. Our analysis also suggests that the presence of strong clusters in a region enhances growth opportunities in other industries and clusters. Overall, these findings highlight the important role of cluster-based agglomeration in regional economic performance.
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Clusters and Entrepreneurship
September 2010
Working Paper Number:
CES-10-31
This paper 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 U.S. Cluster Mapping Project (Porter, 2003). 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 multiestablishment firms. Finally, strong clusters contribute to start-up firm survival.
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Spatial Organization of Firms: Internal and External Agglomeration Economies and Location Choices Through the Value Chain
September 2012
Working Paper Number:
CES-12-33
We explore the impact of geographically bounded intra-firm spillovers (internal agglomeration economies) and geographically bounded inter-firm spillovers (external agglomeration economies) on firms' location strategies. Using data from the Census Bureau's Longitudinal Business Database and the U.S. Cluster Mapping Project, we analyze organic expansions of biopharmaceutical firms (by both new establishments and employment increase in existing establishments) in the U.S. in 1993-2005. We consider all activities in the value chain and allow location choices to vary by R&D, manufacturing, and sales. Our findings suggest that (1) internal and external agglomeration economies have separate, positive impacts on location, with relevant differences by activity; (2) internal economies of agglomeration arise within an activity (e.g., among plants) and across activities (e.g., between manufacturing and sales); (3) the effects of internal economies across and within activities vary by activity and type of organic expansion; and (4) across-activity internal economies are asymmetric.
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The Spatial Extent of Agglomeration Economies: Evidence from Three U.S. Manufacturing Industries
January 2012
Working Paper Number:
CES-12-01
The spatial extent of localized agglomeration economies constitutes one of the central current questions in regional science. It is crucial for understanding firm location decisions and for assessing the influence of proximity in shaping spatial patterns of economic activity, yet clear-cut answers are difficult to come by. Theoretical work often fails to define or specify the spatial dimension of agglomeration phenomena. Existing empirical evidence is far from consistent. Most sources of data on economic performance do not supply micro-level information containing usable geographic locations. This paper provides evidence of the distances across which distinct sources of agglomeration economies generate benefits for plants belonging to three manufacturing industries in the United States. Confidential data from the Longitudinal Research Database of the United States Census Bureau are used to estimate cross-sectional production function systems at the establishment level for three contrasting industries in three different years. Along with relevant establishment, industry, and regional characteristics, the production functions include variables that indicate the local availability of potential labor and supply pools and knowledge spillovers. Information on individual plant locations at the county scale permits spatial differentiation of the agglomeration variables within geographic regions. Multiple distance decay profiles are investigated in order to explore how modifying the operationalization of proximity affects indicated patterns of agglomeration externalities and interfirm interactions. The results imply that industry characteristics are at least as important as the type of externality mechanism in determining the spatial pattern of agglomeration benefits. The research methods borrow from earlier work by the author that examines the relationships between regional industrial structure and manufacturing production.
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Getting Patents and Economic Data to Speak to Each Other: An 'Algorithmic Links with Probabilities' Approach for Joint Analyses of Patenting and Economic Activity
September 2012
Working Paper Number:
CES-12-16
International technological diffusion is a key determinant of cross-country differences in economic performance. While patents can be a useful proxy for innovation and technological change and diffusion, fully exploiting patent data for such economic analyses requires patents to be tied to measures of economic activity. In this paper, we describe and explore a new algorithmic approach to constructing concordances between the International Patent Classification (IPC) system that organizes patents by technical features and industry classification systems that organize economic data, such as the Standard International Trade Classification (SITC), the International Standard Industrial Classification (ISIC) and the Harmonized System (HS). This 'Algorithmic Links with Probabilities' (ALP) approach incorporates text analysis software and keyword extraction programs and applies them to a comprehensive patent dataset. We compare the results of several ALP concordances to existing technology concordances. Based on these comparisons, we select a preferred ALP approach and discuss advantages of this approach relative to conventional approaches. We conclude with a discussion on some of the possible applications of the concordance and provide a sample analysis that uses our preferred ALP concordance to analyze international patent flows based on trade patterns.
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Agglomeration, Enterprise Size, and Productivity
August 2004
Working Paper Number:
CES-04-15
Much research on agglomeration economies, and particularly recent work that builds on Marshall's concept of the industrial district, postulates that benefits derived from proximity between businesses are strongest for small enterprises (Humphrey 1995, Sweeney and Feser 1998). With internal economies a function of the shape of the average cost curve and level of production, and external economies in shifts of that curve, a small firm enjoying external economies characteristic of industrial districts (or complexes or simply urbanized areas) may face the same average costs as the larger firm producing a higher volume of output (Oughton and Whittam 1997; Carlsson 1996; Humphrey 1995). Thus we observe the seeming paradox of large firms that enjoy internal economies of scale co-existing with smaller enterprises that should, by all accounts, be operating below minimum efficient scale. With the Birch-inspired debate on the relative job- and innovation-generating capacity of small and large firms abating (Ettlinger 1997), research on the small firm sector has shifted to an examination of the business strategies and sources of competitiveness of small enterprises (e.g., Pratten 1991, Nooteboom 1993). Technological external scale economies are a key feature of this research (Oughton and Whittam 1997).
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Human Capital of Spinouts
January 2015
Working Paper Number:
CES-15-06
This study examines how the human capital of spinout founders and the performance of parent
firms affect the success of spinouts by using a matched employer-employee dataset of new ventures covering 7 SIC 1-digit sectors in the United States. Our data cover 29,100 spinouts and 379,800 new ventures formed by lone entrepreneurs in 23 states between 1992 and 2005. We evaluate several components of human capital: outcomes of human capital investments vs. human capital investments, task-related human capital vs. non-task-related human capital, and individual human capital vs. group capital, and examine whether these types of human capital affect spinout performance differently. We find that spinout founder's earnings (an outcome of human capital investment) and industry experience (task-related human capital) prior to spinout formation have strong positive correlations with spinout performance, as measured by size, wage and growth rate. We also find that group experience of spinout founders prior to spinout formation has a positive correlation with spinout performance, though this effect is slightly weaker and smaller than those of spinout founder's earnings and industry experience. The effects of these three measures of human capital are mostly present after controlling for parent firm establishment fixed effects. We find some evidence that the size of parent firm establishments has a positive correlation with spinout performance, but this effect does not hold after controlling for parent firm fixed effects. Finally, we find that founder's earnings, industry experience, group experience and parent firm size are more important during the early stage of spinout formation.
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How Does Size Matter? Investigating the Relationships Among Plant Size, Industrial Structure, and Manufacturing Productivity
March 2011
Working Paper Number:
CES-11-08
Industrial concentration and market power have been studied extensively at the national scale, in fields ranging from economics and industrial organization to regional science and economic development. At the regional scale, however, industrial structure and firm size relationships have received little attention outside of non-generalizable case studies, primarily because accurate measurements require difficult-to-obtain plant- or firm-level information. Readily available secondary data sources on establishment size distributions (such as County Business Patterns or the Census of Manufactures) cannot be linked to performance information for particular establishments or firms. Yet region-specific industrial structure may be a crucial determinant of firm performance and thus regional economic fortunes as well (Chinitz 1961; Christopherson and Clark 2007). This paper examines how industrial concentration and agglomeration economies impact plant performance, focusing on the influence of establishment size in mediating these effects. The Longitudinal Research Database of the U.S. Census Bureau is accessed to construct production functions for three manufacturing industries nationwide. These production functions, specified at the establishment level, incorporate characteristics of establishments, industries, and regions, including spatially-differentiated measures of agglomeration economies. Establishment size is evaluated both as an absolute metric and relative to other regional industry plants, as theory suggests that absolute size may be most pertinent to agglomeration benefits but relative size more relevant to industrial structure (Caves and Barton 1990; Bothner 2005). The research builds on earlier work by the author that establishes a direct link between regional industry concentration and the productivity of manufacturing establishments.
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Human Capital, Parent Size and the Destination Industry of Spinouts
October 2019
Working Paper Number:
CES-19-30
We study how spinout founders' human capital and parent size relate to founders' propensity to stay in the same industry as their parents or to go outside the industry. Individuals with high human capital face a higher performance penalty if they form spinouts outside the parent industry, but they also face greater deterrence from large parents if they stay in that industry. Using matched employer employee data on spinout founders and their coworkers, we find that individuals with higher human capital are less likely to form spinouts in distant industries than in the parent's industry. Further, we find that as parent size increases, such individuals are less likely to form spinouts in the parent's industry and more likely to form spinouts in distant industries.
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Incidence and Performance of Spinouts and Incumbent New Ventures: Role of Selection and
Redeployability within Parent Firms
September 2021
Working Paper Number:
CES-21-27
Using matched employer-employee data from 30 U.S. states, we compare spinouts with new ventures formed by incumbents (INCs). We propose a selection-based framework comprising idea selection by parents to internally implement ideas as INCs, entrepreneurial selection by founders to form spinouts, and managerial selection to close ventures. Consistent with parents choosing better ideas in the idea selection stage, we find that INCs perform relatively better than spinouts, and more so with larger parents. Regarding the entrepreneurial selection stage, we find evidence consistent with resource requirements being a greater entry barrier to spinouts and greater information asymmetry promoting spinout formation. Parents' resource redeployment opportunities are associated with lower relative survival of INCs, consistent with their being subject to greater selection pressures in the managerial selection stage.
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Regional Industrial Dominance, Agglomeration Economies, and Manufacturing Plant Productivity
December 2007
Working Paper Number:
CES-07-31
In a seminal article, Benjamin Chinitz (1961) focused attention on the effects that industry size, structure, and economic diversification have on firm performance and regional economies. He also raised a related but conceptually distinct question that has been overlooked since: how does the extent to which a regional industry is concentrated in a single or small number of firms impact the performance of other local firms within that industry? He suggested that such regional industrial dominance may impact input prices, limit capital accessibility, deter entrepreneurial activity, and reduce the regional availability of agglomeration economies such as specialized labor and supply pools In this paper, we use an establishment-level production function to quantify the links between industrial dominance, agglomeration economies, and firm performance. We consider two questions. First, do greater levels of regional industrial dominance lead to lower economic performance by small, dominated manufacturing plants? Second, are small plants in dominated regional industries more limited in capturing regional agglomeration benefits and therefore do they face rigidities in deploying production factors to maximum advantage? Our results suggest that regional industrial organization does influence productivity but that the effect tends to be a direct one, rather than an indirect effect via its influence on agglomeration economies.
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