We use confidential Census microdata to compare outcomes for plants in counties that 'win' a new plant to plants in similar counties that did not to receive the new plant, providing empirical evidence on the economic theories used to justify local industrial policies. We find little evidence that the average highly incentivized large plant generates significant productivity spillovers. Our semiparametric estimates of the overall local agglomeration function indicate that residual TFP is linear for the range of 'agglomeration' densities most frequently observed, suggesting local economic shocks do not push local economies to a new higher equilibrium. Examining changes twenty years after the new plant entrant, we find some evidence of persistent, positive increases in winning county-manufacturing shares that are not driven by establishment births.
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Propagation and Amplification of Local Productivity Spillovers
August 2022
Working Paper Number:
CES-22-32
This paper shows that local productivity spillovers can propagate throughout the economy through the plant-level networks of multi-region firms. Using confidential Census plant-level data, we find that large manufacturing plant openings not only raise the productivity of local plants but also of distant plants hundreds of miles away, which belong to multi-region firms that are exposed to the local productivity spillover through one of their plants. To quantify the significance of plant-level networks for the propagation and amplification of local productivity shocks, we develop and estimate a quantitative spatial model in which plants of multi-region firms are linked through shared knowledge. Counterfactual exercises show that while knowledge sharing through plant-level networks amplifies the aggregate effects of local productivity shocks, it can widen economic disparities between workers and regions in the economy.
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Tracing the Sources of Local External Economies
August 2004
Working Paper Number:
CES-04-13
In a cross-sectional establishment-level analysis using confidential secondary data, I evaluate the influence of commonly postulated sources of localized external economies'supplier access, labor pools, and knowledge spillovers'on the productivity of two U.S. manufacturing sectors (farm and garden machinery and measuring and controlling devices). Measures incorporating different distance decay specifications provide evidence of the spatial extent of the various externality sources. Chinitz's (1961) hypothesis of the link between local industrial organization and agglomeration economies is also investigated. The results show evidence of labor pooling economies and university-linked knowledge spillovers in the case of the higher technology measuring and controlling devices sector, while access to input supplies and location near centers of applied innovation positively influence efficiency in the farm and garden machinery industry. Both sectors benefit from proximity to producer services, though primarily at a regional rather than highly localized scale.
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Marshall's Scale Economies
December 2001
Working Paper Number:
CES-01-17
In this paper, using panel data, I estimate plant level production functions that include variables that allow for two types of scale externalities which plants experie nce in their local industrial environments. First are externalities from other plants in the same industry locally, usually called localization economies or, in a dynamic context, Marshall, Arrow, Romer [MAR] economies. Second are externalities from the scale or diversity of local economic activity outside the own industry involving some type of cross- fertilization, usually called urbanization economies or, in a dynamic context, Jacobs economies. Estimating production functions for plants in high tech industries and in capital goods, or machinery industries, I find that local own industry scale externalities, as measured specifically by the count of other own industry plants locally, have strong productivity effects in high tech but not machinery industries. I find evidence that single plant firms both benefit more from and generate greater external benefits than corporate plants. On timing, I find evidence that high tech single plant firms benefit from the scale of past own industry activity, as well as current activity. I find no evidence of urbanization economies from the diversity of local economic activity outside the own industry and limited evidence of urbanization economies from the overall scale of local economic activity.
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ENVIRONMENTAL REGULATION AND INDUSTRY EMPLOYMENT: A REASSESSMENT
July 2013
Working Paper Number:
CES-13-36
This paper examines the impact of environmental regulation on industry employment, using a structural model based on data from the Census Bureau's Pollution Abatement Costs and Expenditures Survey. This model was developed in an earlier paper (Morgenstern, Pizer, and Shih (2002) - MPS). We extend MPS by examining additional industries and additional years. We find widely varying estimates across industries, including many implausibly large positive employment effects. We explore several possible explanations for these results, without reaching a satisfactory conclusion. Our results call into question the frequent use of the average impacts estimated by MPS as a basis for calculating the quantitative impacts of new environmental regulations on employment.
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Clusters, Convergence, and Economic Performance
October 2010
Working Paper Number:
CES-10-34
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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THE IMPACT OF STATE URBAN ENTERPRISE ZONES ON BUSINESS OUTCOMES*
December 1998
Working Paper Number:
CES-98-20
Since the early 1980s, a vast majority of states have implemented enterprise zones. This paper examines the impact of zone programs in the urban areas of six states on business outcomes, the main target of zone incentives. The primary source of outcome data is the U.S. Bureau of Census' Longitudinal Research Database (LRD), which tracks manufacturing establishments over time. Matched sample and geographic comparison groups are created to measure of the impact of zone policy on employment, establishment, shipment, payroll, and capital spending outcomes. Consistent with previous research findings, the difference in difference estimates indicate that zones appears to have little impact on average. However, by exploiting the establishment-level data, the paper finds that zones have a positive impact on the outcomes of new establishments and a negative impact on the outcomes of previously existing establishments.
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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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Access to Workers or Employers? An Intra-Urban Analysis of Plant Location Decisions
September 2010
Working Paper Number:
CES-10-21R
This analysis attributes economies of agglomeration to either labor market pooling or employer-based productivity spillovers by distinguishing the effect of access to workers, measured by place-of-residence, from the effect of access to employers. New establishment location choices serve as a measure of productivity advantages, while census tract level data on access to same-industry employment, other-industry employment, and specialized workers, as well as metropolitan area fixed effects, measure sources of agglomeration and other locational characteristics. The four industries included are selected so that each relies on a workforce with a specialized occupation that is identifiable by place-of-residence, and that productivity and cost advantages are the primary drivers of location choice. The results show that both access to specialized workers and access to same-industry employers contribute to economies of agglomeration at an intra-urban spatial scale, and that the magnitude of the worker effect is large relative to employer-based productivity spillovers.
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Intra-Firm Spillovers? The Stock and Flow Effects of Collocation
January 2015
Working Paper Number:
CES-15-01
We examine the impact of collocation on local within-firm performance, or intra-firm spillovers, by decomposing spillovers into one-time stock and recurring flow effects. Stock effects include one-time learning effects. Flow effects include ongoing resource sharing as well as cannibalization. Using data on the population of U.S. hotels and restaurants from 1977-2007, we exploit changes in the number of collocated establishments owned by the same firm to estimate the relative importance of stock and flow benefits. We find that collocation improves the productivity of new and existing establishments by 1-2%, even when correcting for endogenous sorting into collocation. The results, in conjunction with our field work, suggest that collocation generally facilitates the transfer of knowledge within the firm, but that flow effects of collocation are more sensitive to the broader economic environment.
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Technology Lock-In and Costs of Delayed Climate Policy
July 2023
Working Paper Number:
CES-23-33
This paper studies the implications of current energy prices for future energy efficiency and climate policy. Using U.S. Census microdata and quasi-experimental variation in energy prices, we first show that manufacturing plants that open when electricity prices are low consume more energy throughout their lifetime, regardless of current electricity prices. We then estimate that a persistent bias of technological change toward energy can explain the long-term effects of entry-year electricity prices on energy intensity. Overall, this 'technology lock-in' implies that increasing entry-year electricity prices by 10% would decrease a plant's energy intensity of production by 3% throughout its lifetime.
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