Location determinants of food manufacturers in the United States, 2000–2004: are nonmetropolitan counties competitive?

Lambert, Dayton M.; McNamara, Kevin T.

doi:10.1111/j.1574-0862.2009.00403.x

Cited by 32 publications

(48 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The manufacturing segment is a critical component of the state's economy. In recent years, many manufacturing jobs have relocated to lower-cost countries or been displaced due to advances in technology (80,(82)(83)(84). Evidence suggests this, as Indiana's manufacturing sector has decreased from 19% of total state employment in 2000 (697,610 manufacturing jobs) to 13% (453,196 Figure 4.2).…”

Section: Indiana Manufacturing Employmentmentioning

confidence: 96%

“…The migration of manufacturing from large urban areas to low-cost labor locations stimulated rural development in the early 1970s (84,96,97). The rural manufacturing sector expansion continued until the 1980s (84).…”

Section: Manufacturing Location Decisionmentioning

confidence: 99%

“…Rural areas have struggled to maintain export-led sectors over the last decade, as manufacturing has moved back to urban areas having access to skilled labor, business services, and product markets (84,96,98,99). The focus of manufacturing in urban areas increased because of the amplified importance of a skilled labor force, supply chain logistics, and scale economies (84,100,101).…”

Section: Manufacturing Location Decisionmentioning

confidence: 99%

“…The dynamics of globalization and the international marketplace have unknown impacts for rural areas to recruit export-led industries (84). The migration of manufacturing from large urban areas to low-cost labor locations stimulated rural development in the early 1970s (84,96,97).…”

Section: Manufacturing Location Decisionmentioning

confidence: 99%

“…Manufacturing plant decision is a two-stage process (82,84,(87)(88)(89)(90)(91)(92)(93)(94). In the first stage, companies choose a region based on the firm's overall goals, such as product markets, access to raw materials, or other objectives.…”

Section: Manufacturing Location Decisionmentioning

confidence: 99%

See 4 more Smart Citations

Socioeconomic Forecasting

Xiong¹,

Fricker²,

McNamara³

2012

View full text Add to dashboard Cite

JOINT TRANSPORTATION RESEARCH PROGRAMThe Joint Transportation Research Program serves as a vehicle for INDOT collaboration with higher education institutions and industry in Indiana to facilitate innovation that results in continuous improvement in the planning, design, construction, operation, management and economic efficiency of the Indiana transportation infrastructure. https://engineering.purdue.edu/JTRP/index_html Published reports of the Joint Transportation Research Program are available at: http://docs.lib.purdue.edu/jtrp/ NOTICEThe contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views and policies of the Indiana Department of Transportation or the Federal Highway Administration. The report does not constitute a standard, specification or regulation. AbstractThe role of the REMI Policy Insight+ model in socioeconomic forecasting and economic impact analysis of transportation projects was assessed. The REMI PI+ model is consistent with the state of the practice in forecasting and impact analysis. REMI PI+, like its competitors, is vulnerable to the trends contained in the historical data it uses, especially recent trends. After the most recent periodic update in data, the performance of the REMI PI+ model improved, that is, it produced long-term forecasts that were more credible. Zonal-level population and employment forecasts for direct input to the Indiana Statewide Travel Demand Model (ISTDM) can be achieved by applying disaggregation regression methods. Indiana University's Center for Econometric Model Research (CEMR) model is also a sound forecasting model. Because of the knowledge of in-state economists, the CEMR-IBRC model could provide forecasts of the Indiana economy that reflect characteristics not known to out-of-state forecasters. The researchers also examined economic impact analysis models that are possible alternatives to REMI PI+. Acquiring a new economic impact analysis package does not seem necessary for INDOT, if REMI forecasts can be adjusted to (a) accommodate recent and reasonable expected trends in the Indiana economy, and (b) meet the geographic (TAZ) needs of the ISTDM. MCIBAS-which is currently used by the Indiana Department of Transportation-is a good hybrid system to use in the economic impacts analysis of transportation projects. Indiana University's CEMR is capable of conducting economic impact analyses, with local knowledge of the Indiana economy, at a cost lower than REMI's. However, INDOT would have to decide whether these potential advantages justify changing the present relationship with REMI. In cases where the credibility of data, forecasts, and/or impact analyses needs to be verified, an Because the traffic forecasts produced by the Indiana Statewide Travel Demand Model (ISTDM) are driven by the demographic and socioeconomic inputs to the model, particular attention must be given to obtaining the most accurate demographic an...

show abstract

Section: Indiana Manufacturing Employmentmentioning

confidence: 96%

Section: Manufacturing Location Decisionmentioning

confidence: 99%

Section: Manufacturing Location Decisionmentioning

confidence: 99%

Section: Manufacturing Location Decisionmentioning

confidence: 99%

Section: Manufacturing Location Decisionmentioning

confidence: 99%

See 3 more Smart Citations

Socioeconomic Forecasting

Xiong¹,

Fricker²,

McNamara³

2012

View full text Add to dashboard Cite

show abstract

Local Foods Go Downstream: Exploring the Spatial Factors Driving U.S. Food Manufacturing

Low¹,

Bass²,

Thilmany³

et al. 2020

Applied Eco Perspectives Pol

View full text Add to dashboard Cite

Manufacturing, specifically food and beverage production, is a key employer in rural areas and has linkages to the agricultural sector. Using data drawn from the National Establishment Time‐Series for 2013–15, we explore what entrepreneurship, farm marketing channel innovations, and more traditional spatial factors influence the location decisions of food and beverage manufacturing establishment start‐ups in the U.S. We find that traditional spatial decision factors still matter but, in addition, proxies for farm adoption of downstream innovations are also related to start‐ups. We conclude by discussing implications of our findings for food market dynamics and rural economic development policy.

show abstract

Implications of Agglomeration Economies and Market Access for Firm Growth in Food Manufacturing

Schmit

Hall

2013

Agribusiness

View full text Add to dashboard Cite

With the persistent changes in technology and increased competition in food manufacturing, it is important to reassess the effects of agglomeration economies and market access on the performance of firms. Using survey data from New York food processors, an ordered logit analysis reveals that firm growth is related to important upstream and downstream market condiations. The clustering of similar manufacturers was found to have important effects on firm revenue growth, with the benefits of firm clustering increasing significantly with the level of local urbanization. For these reasons, policies that promote intra-industry or cross-industry collaboration would likely benefit food manufacturers, but these benefits would not be limited to firms in close geographic proximity to one another. Moreover, in rural areas especially, manufacturing firms and community planners need to be aware of possible negative effects of competition from growing concentrations of firms so that these issues can be addressed before local business growth is adversely affected. [JEL Classification: O13, Q13, R11] C 2013 Wiley Periodicals, Inc.

show abstract

Location determinants of food manufacturers in the United States, 2000–2004: are nonmetropolitan counties competitive?

Cited by 32 publications

References 66 publications

Socioeconomic Forecasting

Socioeconomic Forecasting

Local Foods Go Downstream: Exploring the Spatial Factors Driving U.S. Food Manufacturing

Implications of Agglomeration Economies and Market Access for Firm Growth in Food Manufacturing

Contact Info

Product

Resources

About