[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/ags/saea15/196691.html
   My bibliography  Save this paper

Skilled Labor Preference, Cellulosic Biofuel Facility Location, and Economic Impacts in the Southeastern US

Author

Listed:
  • Lambert, D. M.
  • English, B. C.
  • Menard, R. Jamey
  • Wilson, B.
  • He, L.
  • Yu, T. E.
  • Jensen, K.
Abstract
This research applies recent developments in the analysis of firm location determinants, applying local geographic concentration indices to determine and the extent to which clustering influences the location decisions of cellulosic biofuel facilities. We focus on ethanol production from switchgrass and drop-in fuels made through pyrolysis. The economic sectors analyzed would be involved in the extraction, production, and distribution of intermediate and final fuel products, and the financing of businesses supporting these activities. We augment a cost-minimizing site location model with information about local employment patterns that would be engaged with a switchgrass-based cellulosic fuel sector. Employment concentration is determined using recent developments in the derivation of the traditional location quotient as a maximum likelihood estimator. The null hypotheses are that differences arising from advantages associated with each county are not different. Rejection of this hypothesis suggests that some sites have comparative advantage with respect to location advantage. The null hypothesis also suggests that the inclusion of labor concentration information in the overall cost structure will not impact the distribution of facilities. Region-wide economic impacts that follow the addition of multiple facilities are not expected to be different after inclusion of the employment location quotients as site suitability criteria.

Suggested Citation

  • Lambert, D. M. & English, B. C. & Menard, R. Jamey & Wilson, B. & He, L. & Yu, T. E. & Jensen, K., 2015. "Skilled Labor Preference, Cellulosic Biofuel Facility Location, and Economic Impacts in the Southeastern US," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196691, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea15:196691
    DOI: 10.22004/ag.econ.196691
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/196691/files/Lambert%20et%20al.%202105.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.196691?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. AM Alvarez & EG Fidalgo & RJ Sexton & M Zhang, 2000. "Oligopsony power with uniform spatial pricing: theory and application to milk processing in Spain," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(3), pages 347-364, September.
    2. Paulo Guimarães & Octávio Figueiredo & Douglas Woodward, 2007. "Measuring The Localization Of Economic Activity: A Parametric Approach," Journal of Regional Science, Wiley Blackwell, vol. 47(4), pages 753-774, October.
    3. Geoff Riddington & Hervey Gibson & John Anderson, 2006. "Comparison of Gravity Model, Survey and Location Quotient-based Local Area Tables and Multipliers," Regional Studies, Taylor & Francis Journals, vol. 40(9), pages 1069-1081.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Olga Alonso-Villar & Coral Del RÍo, 2012. "Concentration of Economic Activity: Inequality-Based Measures," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(2), pages 223-246, June.
    2. Hueth, Brent & Taylor, Christopher W., 2013. "Spatial Competition in Agricultural Markets: A Discrete-Choice Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150506, Agricultural and Applied Economics Association.
    3. Xia, Tian & Sancewich, Brian, 2012. "Retail Markets and Buyer Power in Agricultural Procurements," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124929, Agricultural and Applied Economics Association.
    4. Tranos, Emmanouil & Incera, Andre Carrascal & Willis, George, 2022. "Using the web to predict regional trade flows: data extraction, modelling, and validation," OSF Preprints 9bu5z, Center for Open Science.
    5. José Jorge & Joana Rocha, 2018. "Agglomeration and Industry Spillover Effects in the Aftermath of a Credit Shock," CEF.UP Working Papers 1801, Universidade do Porto, Faculdade de Economia do Porto.
    6. Sanwar A. Sunny & Cheng Shu, 2019. "Investments, incentives, and innovation: geographical clustering dynamics as drivers of sustainable entrepreneurship," Small Business Economics, Springer, vol. 52(4), pages 905-927, April.
    7. Di Giacinto, Valter & Pagnini, Marcello, 2011. "Local and global agglomeration patterns: Two econometrics-based indicators," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 266-280, May.
    8. Graubner, Marten & Balmann, Alfons, 2012. "Spatial Pricing on Land Rental Markets," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125349, Agricultural and Applied Economics Association.
    9. Octávio Figueiredo & Paulo Guimarães & Douglas Woodward, 2007. "Localization Economies and Establishment Scale: A Dartboard Approach," FEP Working Papers 247, Universidade do Porto, Faculdade de Economia do Porto.
    10. Satoshi Nakano & Kazuhiko Nishimura, 2013. "A nonsurvey multiregional input–output estimation allowing cross-hauling: partitioning two regions into three or more parts," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(3), pages 935-951, June.
    11. Laura Calvet & Rocio de la Torre & Anita Goyal & Mage Marmol & Angel A. Juan, 2020. "Modern Optimization and Simulation Methods in Managerial and Business Economics: A Review," Administrative Sciences, MDPI, vol. 10(3), pages 1-23, July.
    12. Valter Di Giacinto & Marcello Pagnini, 2021. "Local and global agglomeration patterns in the banking sector: the calm in the mid of a storm," Questioni di Economia e Finanza (Occasional Papers) 610, Bank of Italy, Economic Research and International Relations Area.
    13. Huck, Petra & Salhofer, Klaus & Tribl, Christoph, 2006. "Spatial Competition of Milk Processing Cooperatives in Northern Germany," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25633, International Association of Agricultural Economists.
    14. Dai, Tianran & Schiff, Nathan, 2023. "The structure and growth of ethnic neighborhoods," Journal of Urban Economics, Elsevier, vol. 137(C).
    15. Kopainsky, Birgit & Flury, Christian & Giuliani, Gianluca, 2008. "Agriculture’s contribution to rural viability: An approach to estimate regional economic impacts of agricultural policy in Swiss case study regions," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6483, European Association of Agricultural Economists.
    16. Li, Kai & Zhou, Jie-hong & Liang, Qiao & Huang, Zuhui, 2015. "Food safety controls and governance structure varieties in China's vegetable and fruit sector," 2015 Conference, August 9-14, 2015, Milan, Italy 212046, International Association of Agricultural Economists.
    17. Gerald A. Carlino & Jake Carr & Robert M. Hunt & Tony E. Smith, 2010. "The agglomeration of R&D labs," Working Papers 10-33, Federal Reserve Bank of Philadelphia.
    18. Anthony T Flegg & Yongming Huang & Timo Tohmo, 2013. "Cross-hauling and regional input-output tables: the case of the province of Hubei, China," Working Papers 20131310, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    19. Cordier, Mateo & Pérez Agúndez, José A. & O'Connor, Martin & Rochette, Sébastien & Hecq, Walter, 2011. "Quantification of interdependencies between economic systems and ecosystem services: An input-output model applied to the Seine estuary," Ecological Economics, Elsevier, vol. 70(9), pages 1660-1671, July.
    20. Eduardo A. Haddad & Natalia Q. Cotarelli, Thiago C. Simonato, Vinicius A. Vale & Jaqueline C. Vicentin, 2018. "Estimation of NUTS2 Interregional Input-Output Systems for Greece, 2010 and 2013," Working Papers, Department of Economics 2018_07, University of São Paulo (FEA-USP).

    More about this item

    Keywords

    Land Economics/Use; Production Economics;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:saea15:196691. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.