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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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CAPITAL AND LABOR REALLOCATION INSIDE FIRMS
April 2013
Working Paper Number:
CES-13-22
We document how a plant-specific shock to investment opportunities at one plant of a firm ("treated plant") spills over to other plants of the same firm-but only if the firm is financially constrained. While the shock triggers an increase in investment and employment at the treated plant, this increase is offset by a decrease at other plants of the same magnitude, consistent with headquarters channeling scarce resources away from other plants and toward the treated plant. As a result of the resource reallocation, aggregate firm-wide productivity increases, suggesting that the reallocation is beneficial for the firm as a whole. We also show that-in order to provide the treated plant with scarce resources-headquarters does not uniformly "tax" all of the firm's other plants in the same way: It is more likely to take away resources from plants that are less productive, are not part of the firm's core industries, and are located far away from headquarters. We do not find any evidence of investment or employment spillovers at financially unconstrained firms.
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Soft Information and Investment: Evidence from Plant-Level Data
October 2010
Working Paper Number:
CES-10-38R
A reduction in travel time between headquarters and plants makes it easier for headquarters to monitor plants and gather 'soft' information--i.e., information that cannot be transmitted through non-personal means. Using a difference-in-differences methodology, I find that the introduction of new airline routes that reduce the travel time between headquarters and plants leads to an increase in plant-level investment of 8% to 9% and an increase in plants' total factor productivity of 1.3% to 1.4%. Consistent with the notion that a reduction in travel time makes it easier for headquarters to monitor plants and gather soft information, I find that my results are stronger: i) for plants whose headquarters are more time constrained; ii) for plants operating in soft-information industries; iii) during the earlier years of my sample period, when alternative, non-personal, means of monitoring and transmitting information were less developed; iv) for plants where information uncertainty is likely to be greater and soft information is likely to be more valuable, such as smaller plants and peripheral plants operating in industries that are not the firm's main industry.
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Local Environmental Regulation and Plant-Level Productivity
September 2010
Working Paper Number:
CES-10-30R
This paper examines the impact of environmental regulation on the productivity of manufacturing plants in the United States. Establishment-level data from three Censuses of Manufactures are used to estimate 3-factor Cobb-Douglas production functions that include a measure of the stringency of environmental regulation faced by manufacturing plants. In contrast to previous studies, this paper examines effects on plants in all manufacturing industries, not just those in 'dirty' industries. Further, this paper employs spatial-temporal variation in environmental compliance costs to identify effects, using a time-varying county-level index that is based on multiple years of establishment-level data from the Pollution Abatement Costs and Expenditures survey and the Annual Survey of Manufactures. Results suggest that, for the average manufacturing plant, the effect on productivity of being in a county with higher environmental compliance costs is relatively small and often not statistically significant. For the average plant, the main effect of environmental regulation may not be in the spatial and temporal dimensions.
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An Alternative Theory of the Plant Size Distribution with an Application to Trade
May 2010
Working Paper Number:
CES-10-10
There is wide variation in the sizes of manufacturing plants, even within the most narrowly defined industry classifications used by statistical agencies. Standard theories attribute all such size differences to productivity differences. This paper develops an alternative theory in which industries are made up of large plants producing standardized goods and small plants making custom or specialty goods. It uses confidential Census data to estimate the parameters of the model, including estimates of plant counts in the standardized and specialty segments by industry. The estimated model fits the data relatively well compared with estimates based on standard approaches. In particular, the predictions of the model for the impacts of a surge in imports from China are consistent with what happened to U.S. manufacturing industries that experienced such a surge over the period 1997'2007. Large-scale standardized plants were decimated, while small-scale specialty plants were relatively less impacted.
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The Green Industry: An Examination of Environmental Products Manufacturing
September 2008
Working Paper Number:
CES-08-34
The "green industry" is often noted in discussions of the costs and benefits of environmental policy, and it has been characterized as a unique industry with substantial potential for employment growth, well-paying jobs, and export opportunities. In this paper, we examine the characteristics and recent economic performance of the green industry, using establishment-level data on environmental products manufacturers (EPMs) from the 1995 Survey of Environmental Products and Services, together with data from the Annual Survey of Manufactures and various Census of Manufactures. Results suggest that there are some differences between EPMs and their non-EPM counterparts in the same industry, in terms of employment, employee compensation, exports, and productivity. However, we do not find any evidence that EPMs performed any better than otherwise similar plants, in terms of survival, employment growth, wage growth, and export growth. Our findings offer a more complex and nuanced portrayal of the green industry than is typical, and we suggest that this industry may not be as exceptional as is sometimes maintained.
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Entry, Exit, and Plant-Level Dynamics over the Business Cycle
June 2008
Working Paper Number:
CES-08-17
This paper analyzes the implications of plant-level dynamics over the business cycle. We first document basic patterns of entry and exit of U.S. manufacturing plants, in terms of employment and productivity, between 1972 and 1997. We show how entry and exit patterns vary during the business cycle, and that the cyclical pattern of entry is very different from the cyclical pattern of exit. Second, we build a general equilibrium model of plant entry, exit, and employment and compare its predictions to the data. In our model, plants enter and exit endogenously, and the size and productivity of entering and exiting plants are also determined endogenously. Finally, we explore the policy implications of the model. Imposing a firing tax that is constant over time can destabilize the economy by causing fluctuations in the entry rate. Entry subsidies are found to be effective in stabilizing the entry rate and output.
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Plant Turnover and Demand Fluctuations in the Ready-Mix Concrete Industry
March 2006
Working Paper Number:
CES-06-08
Fluctuations in demand cause some plants to exit a market and other to enter. Would eliminating these 'uctuations reduce plant turnover? A structural model of entry and exit in concentrated markets is estimated for the ready-mix concrete industry, using plant level data from the U.S. Census. The Nested Pseudo-Likelihood algorithm is used to 'nd parameters which rationalize behavior of 'rms involved in repeated competition. Due to high sunk costs, turnover rates would only be reduced by 3% by eliminating demand 'uctuations at the county level, saving around 20 million dollars a year in scrapped capital. However, demand 'uctuations blunt 'rms'incentive to invest, reducing the number of large plants by more than 50%.
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Firm Structure, Multinationals, and Manufacturing Plant Deaths
October 2005
Working Paper Number:
CES-05-18
Plant shutdowns shape industry and aggregate productivity paths and play a major role in the dynamics of employment and industrial restructuring. Plant closures in the U.S. manufacturing sector account for more than half of gross job destruction. While multi-plant firms and multinationals dominate U.S. manufacturing, theoretical and empirical work has largely ignored the role of firms in the plant shutdown decision. This paper examines the effects of firm structure on manufacturing plant closures. Using U.S. data, we find that plants belonging to multi-plant firms are less likely to exit. Similarly, plants owned by U.S. multinationals are less likely to close. However, the superior survival chances are due to the characteristics of the plants themselves rather than the nature of the firms. Controlling for plant and industry attributes that reduce the probability of death, we find that plants owned by multi-unit firms and U.S. multinationals are much more likely to close. A recent change in ownership also increases the chances that a plant will be closed.
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Assessing Multi-Dimensional Performance: Environmental and Economic Outcomes
May 2005
Working Paper Number:
CES-05-03
This study examines the determinants of environmental and economic performance for plants in three traditional smoke-stack industries: pulp and paper, oil, and steel. We combine data from Census Bureau and EPA databases and Compustat on the economic performance, regulatory activity and environmental performance on air and water pollution emissions and toxic releases. We find that plants with higher labor productivity tend to have lower emissions. Regulatory enforcement actions (but not inspections) are associated with lower emissions, and state-level political support for environmental issues is associated with lower water pollution and toxic releases. There is little evidence that plants owned by larger firms perform better, nor do older plants perform worse.
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