Economists (Ollinger and Mueller, 2003; Golan et al., 2004) have considered some of the economic forces, such as demands from major customers, that encourage plants to maintain food safety process control. Other economists, such as Roberts (2005), have identified food safety technologies that enable better control harmful pathogens. However, economists have not put the two together. The purpose of this paper is to examine the impact of economic forces, including firm effects and plant technology, customer demands, and regulation, on food safety technology use. Preliminary results suggest that customer demand has the greatest impact.
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The Direct and Indirect Costs of Food Safety Regulation
September 2008
Working Paper Number:
CES-08-31
The cost of compliance with the Pathogen Reduction Hazard Analysis Critical Control Program (PR/HACCP) rule of 1996 has been controversial since it was first proposed. Surveys have provided some cost information but examined plant size and other indirect effects with limited data and did not make cost estimates of direct cost components, such as mandated tasks. This paper addresses those deficiencies with data from a national survey of meat and poultry plants on PR/HACCP costs. Results indicate that (1) mandated tasks are the most costly component of the PR/HACCP rule, (2) regulation favors large plants over small ones, and (3) private actions are nearly as costly as direct regulation.
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Technological Change and Economies of Scale in U.S. Poultry Slaughter
April 2000
Working Paper Number:
CES-00-05
This paper uses a unique data set provided by the Census Bureau to empirically examine technological change and economies of scale in the chicken and turkey slaughter industries. Results reveal substantial scale economies that show no evidence of diminishing with plant size and that are much greater than those realized in cattle and hog slaughter. Additionally, it is shown that controlling for plant product mix is critical to cost estimation and animal inputs are much more elastic to prices than in either cattle or hogs. Results suggest that consolidation is likely to continue, particularly if demand growth diminishes.
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The Effects of Productvity and Demand-Specific Factors on Plant Survival and Ownership Change in the U.S. Poultry Industry
July 2015
Working Paper Number:
CES-15-20
In this paper we study the productivity-survival link in the U.S. poultry processing industry using the longitudinal data constructed from five Censuses of Manufactures between 1987 and 2007. First, we study the effects of physical productivity and demand-specific factors on plant survival and ownership change. Second, we analyze the determinants of the firm-level expansion. The results show that higher demand-specific factors decrease the probability of exit and increase the probability of ownership change. The effect of physical productivity on the probability of exit or ownership change is generally insignificant. Also, firms with higher demand-specific factors have higher probability to expand whereas the average firm-level physical productivity turns out to be an insignificant determinant of firm expansion.
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Scale Economies and Consolidation in Hog Slaughter
March 2000
Working Paper Number:
CES-00-03
We use establishment based panel data to estimate a cost function which identifies the role of scale economies in hog slaughter consolidation. We find modest by extensive technological scale economies in the 1990s, and they became more important over time. But wages rose sharply with plant size through the 1970s and those wage premiums generated a pecuniary scale diseconomy that largely offset the effects of technological scale economies. The size-wage relation disappeared in the 1980; with growing technological scale economies and disappearing pecuniary diseconomies, large plants realized growing cost advantages over smaller plants, and production shifted to larger plants.
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Mergers and Acquisitions, Employment, Wages and Plant Closures in the U.S. Meat Product Industries: Evidence from Micro Data
March 2007
Working Paper Number:
CES-07-08
The purpose of this paper is to evaluate the impact of mergers and acquisitions (M&As) on wages and employment and plant closures in the meat packing, prepared meat products, and poultry slaughter and processing industries over 1977-87 and 1982-92. The analysis relies on a balanced panel dataset of all plants owned by meat and poultry firms that existed over 1977-87 or 1982-92. We find that (1) M&As are positively associated with wages in the meat packing and prepared meat products industries over 1977-87, but not over 1982-92; (2) changes in employment are positively related to M&As in all three meat and poultry industries over 1977-87, but only in the poultry industry over 1982-92; and (3) M&As are negatively associated with plant closures.
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How Businesses Use Information Technology: Insights for Measuring Technology and Productivity
June 2006
Working Paper Number:
CES-06-15
Business use of computers in the United States dates back fifty years. Simply investing in information technology is unlikely to offer a competitive advantage today. Differences in how businesses use that technology should drive differences in economic performance. Our previous research found that one business use ' computers linked into networks ' is associated with significantly higher labor productivity. In this paper, we extend our analysis with new information about the ways that businesses use their networks. Those data show that businesses conduct a variety of general processes over computer networks, such as order taking, inventory monitoring, and logistics tracking, with considerable heterogeneity among businesses. We find corresponding empirical diversity in the relationship between these on-line processes and productivity, supporting the heterogeneity hypothesis. On-line supply chain activities such as order tracking and logistics have positive and statistically significant productivity impacts, but not processes associated with production, sales, or human resources. The productivity impacts differ by plant age, with higher impacts in new plants. This new information about the ways businesses use information technology yields vital raw material for understanding how using information technology improves economic performance.
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Do EPA Regulations Affect Labor Demand? Evidence From the Pulp and Paper Industry
August 2013
Working Paper Number:
CES-13-39
The popular belief is that environmental regulation must reduce employment, since suchregulations are expected to increase production costs, which would raise prices and thus reducedemand for output, at least in a competitive market. Although this effect might seem obvious, a careful microeconomic analysis shows that it is not guaranteed. Even if environmental regulation reduces output in the regulated industry, abating pollution could require additional labor (e.g. to monitor the abatement capital and meet EPA reporting requirements). It is also possible for pollution abatement technologies to be labor enhancing. In this paper we analyze how a particular EPA regulation, the so-called 'Cluster Rule' (CR) imposed on the pulp and paper industry in 2001, affected employment in that sector. Using establishment level data from the Census of Manufacturers and Annual Survey of Manufacturers at the U.S. Census Bureau from 1992-2007 we find evidence of small employment declines (on the order of 3%-7%), which are sometimes statistically significant, at a subset of the plants covered by the CR.
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Predictive Analytics and Organizational Architecture:
Plant-Level Evidence from Census Data
January 2019
Working Paper Number:
CES-19-02
We examine trends in the use of predictive analytics for a sample of more than 25,000 manufacturing plants using proprietary data from the US Census Bureau. Comparing 2010 and 2015, we find that use of predictive analytics has increased markedly, with the greatest use in younger plants, professionally-managed firms, more educated workforces, and stable industries. Decisions on data to be gathered originate from headquarters and are associated with less delegation of decision-making and more widespread awareness of quantitative targets among plant employees. Performance targets become more accurate, long-term oriented, and linked to company-wide performance, and management incentives strengthen, both in terms of monetary bonuses and career outcomes. Plants increasing predictive analytics become more efficient, with lower inventory, increased volume of shipments, narrower product mix, reduced management payroll and increased use of flexible and temporary employees. Results are robust to a specification based on increased government demand for data.
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Data in Action: Data-Driven Decision Making in U.S. Manufacturing
January 2016
Working Paper Number:
CES-16-06
Manufacturing in America has become significantly more data-intensive. We investigate the adoption, performance effects and organizational complementarities of data-driven decision making (DDD) in the U.S. Using data collected by the Census Bureau for 2005 and 2010, we observe the extent to which manufacturing firms track and use data to guide decision making, as well as their investments in information technology (IT) and the use of other structured management practices. Examining a representative sample of over 18,000 plans, we find that adoption of DDD is earlier and more prevalent among larger, older plants belonging to multi-unit firms. Smaller single-establishment firms adopt later but have a higher correlation with performance than similar non-adopters. Using a fixed-effects estimator, we find the average value-added for later DDD adopters to be 3% greater than non-adopters, controlling for other inputs to production. This effect is distinct from that associated with IT and other structured management practices and is concentrated among single-unit firms. Performance improves after plants adopt DDD, but not before ' consistent with a causal relationship. However, DDD-related performance differentials decrease over time for early and late adopters, consistent with firm learning and development of organizational complementarities. Formal complementarity tests suggest that DDD and high levels of IT capital reinforce each other, as do DDD and skilled workers. For some industries, the benefits of DDD adoption appear to be greater for plants that delegate some decision making to frontline workers.
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The Management and Organizational Practices Survey (MOPS): Collection and Processing
December 2018
Working Paper Number:
CES-18-51
The U.S. Census Bureau partnered with a team of external researchers to conduct the first-ever large-scale survey of management practices in the United States, the Management and Organizational Practices Survey (MOPS), for reference year 2010. With the help of the research team, the Census Bureau expanded and improved the survey for a second wave for reference year 2015. The MOPS is a supplement to the Annual Survey of Manufacturing (ASM), and so the collection and processing strategy for the MOPS built on the methodology for the ASM, while differing on key dimensions to address the unique nature of management relative to other business data. This paper provides detail on the mail strategy pursued for the MOPS, the collection methods for paper and electronic responses, the processing and estimation procedures, and the official Census Bureau data releases. This detail is useful for all those who have interest in using the MOPS for research purposes, those wishing to understand the MOPS data more deeply, and those with an interest in survey methodology.
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