Assessing Opportunities in Food and Fiber Processing and Distribution

Capps, Oral; Fuller, Stephen W.; Nichols, John P.

doi:10.2307/1242097

Cited by 19 publications

(15 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rural areas seeking manufacturing investment to achieve economic development objectives will be challenged to succeed in the future as plants seek locations associated with an urban work force, infrastructure and business service amenities (Bernat 1992;Testa 1992;McNamara, Kriesel and Rainey 1995). As communities explore development opportunities, food processing activity has been promoted as an area that would offer employment as well as increases in rural incomes through backward linkages to agricultural production (Capps, Fuller and Nichols 1988;Benirschka and Binkley 1994). This paper analyzes characteristics associated with growth in the food processing industry to assess rural communities' potential for maintaining and/or expanding local food processing activity.…”

Section: Introductionmentioning

confidence: 99%

“…This paper analyzes characteristics associated with growth in the food processing industry to assess rural communities' potential for maintaining and/or expanding local food processing activity. industry in the United States (Capps, Fuller and Nichols 1988;Connor 1987Connor , 1988Connor and Schiek 1997). The center of the industry moved west and southwest along with the population during the 19th and 20th centuries.…”

Section: Introductionmentioning

confidence: 99%

“…The center of the industry moved west and southwest along with the population during the 19th and 20th centuries. Capps, Fuller and Nichols (1988) used localization coefficients to examine the spatial distribution of food processing plants.…”

Section: Introductionmentioning

confidence: 99%

“…Connor and Schiek (1997) suggested that the type of food processor -demandoriented, supply-oriented or footlooseinfluences the plant location decision of firms. Historical analysis of the spacial distribution of food processors (Connor 1987;Capps, Fuller and Nichols 1988;Connor and Schiek 1997), however, has not examined the relationship between local and regional attributes and growth in the food processing industry. Once firms make a decision to expand or establish new plants, local and state governments attempt to influence firms' location decisions.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Community Attributes Influencing Local Food Processing Growth in the U.S. Corn Belt

Henderson

McNamara

1997

Canadian J Agri Economics

View full text Add to dashboard Cite

This paper examines local and regional attributes associated with growth in the food processing industry. The paper uses industrial location studies to develop a model of food processing plants’growth. Ordinary least squares (OLS) models are estimated to analyze which local, regional and state attributes are associated with county level growth, measured by a change in the number of establishments. The results suggest that food processing growth is associated with factors similar to those influencing the location of footloose manufacturing plants. However, growth in food processing sectors is associated with different local attributes depending on a firm's industry type (demand‐oriented, supply‐oriented, footloose).

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Community Attributes Influencing Local Food Processing Growth in the U.S. Corn Belt

Henderson

McNamara

1997

Canadian J Agri Economics

View full text Add to dashboard Cite

show abstract

“…They are able to create economies of scale with close proximity to highways, which helps ease the burden of production and operations. Firms seek a location that provides access to materials and decreases transportation costs associated with the procurement of heavy, perishable, watery or immovable resources (105,106). The quality of labor also affects manufacturing output (92).…”

Section: Manufacturing Location Decisionmentioning

confidence: 99%

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

The VEST model: An alternative approach to value added

1997

View full text Add to dashboard Cite

An analysis is provided of the general value added challenge faced by farmers, cooperatives, economic development boards, and others. The VEST model is developed by which publicly traded equities (stocks) can be used directly by farmers as an alternative to traditional value added investment strategies. Numeric VEST Coefficients are developed to serve as investment guidelines for farmers seeking the benefits of value added in the grains, red meat, and poultry sectors. © 1997 John Wiley & Sons, Inc.

show abstract

Assessing Opportunities in Food and Fiber Processing and Distribution

Cited by 19 publications

References 8 publications

Community Attributes Influencing Local Food Processing Growth in the U.S. Corn Belt

Community Attributes Influencing Local Food Processing Growth in the U.S. Corn Belt

Socioeconomic Forecasting

The VEST model: An alternative approach to value added

Contact Info

Product

Resources

About