IDEAS home Printed from https://ideas.repec.org/a/ags/nejare/28879.html
   My bibliography  Save this article

Dynamic Factor Demands And Energy Substitution In Regional U.S. Manufacturing

Author

Listed:
  • Vlachou, Adriana

Abstract

Although energy substitution in U.S. manufacturing has been studied in great depth at the national level, little attention has been paid to the regional level. However, regions may differ in their use of energy for a variety of reasons. The main objective of this study is to estimate region-specific demands for energy using a dynamic model for two-digit SIC Code manufacturing sectors. We derive own and cross-price elasticities for energy for different regions and we compare them. We, thus, provide information which has implications for a region specific energy policy.

Suggested Citation

  • Vlachou, Adriana, 1986. "Dynamic Factor Demands And Energy Substitution In Regional U.S. Manufacturing," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 15(1), pages 1-14, April.
    • Handle: RePEc:ags:nejare:28879
    DOI: 10.22004/ag.econ.28879
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/28879/files/15010014.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.28879?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. McFadden, Daniel, 1978. "Cost, Revenue, and Profit Functions," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.),Production Economics: A Dual Approach to Theory and Applications, volume 1, chapter 1, McMaster University Archive for the History of Economic Thought.
    2. Berndt, Ernst R, 1976. "Reconciling Alternative Estimates of the Elasticity of Substitution," The Review of Economics and Statistics, MIT Press, vol. 58(1), pages 59-68, February.
    3. Berndt, Ernst R & Wood, David O, 1975. "Technology, Prices, and the Derived Demand for Energy," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 259-268, August.
    4. Robert S. Pindyck, 1979. "The Structure of World Energy Demand," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262661772, December.
    5. Pindyck, Robert S & Rotemberg, Julio J, 1983. "Dynamic Factor Demands and the Effects of Energy Price Shocks," American Economic Review, American Economic Association, vol. 73(5), pages 1066-1079, December.
    6. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    7. Scully, Gerald W, 1969. "Interstate Wage Differentials: A Cross Section Analysis," American Economic Review, American Economic Association, vol. 59(5), pages 757-773, December.
    8. Morrison, C. J. & Berndt, E. R., 1981. "Short-run labor productivity in a dynamic model," Journal of Econometrics, Elsevier, vol. 16(3), pages 339-365, August.
    9. Larry G. Epstein, 1981. "Duality Theory and Functional Forms for Dynamic Factor Demands," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(1), pages 81-95.
    10. Epstein, Larry G & Denny, Michael G S, 1983. "The Multivariate Flexible Accelerator Model: Its Empirical Restrictions and an Application to U.S. Manufacturing," Econometrica, Econometric Society, vol. 51(3), pages 647-674, May.
    11. Karp, Larry S. & Shumway, C. Richard, 1984. "Issues And Methods In Estimating Adjustment Costs," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 13(2), pages 1-8, October.
    12. Fuss, Melvyn A., 1977. "The demand for energy in Canadian manufacturing : An example of the estimation of production structures with many inputs," Journal of Econometrics, Elsevier, vol. 5(1), pages 89-116, January.
    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. M. Ishaq Nadiri & Ingmar Prucha, 2001. "Dynamic Factor Demand Models and Productivity Analysis," NBER Chapters, in: New Developments in Productivity Analysis, pages 103-172, National Bureau of Economic Research, Inc.
    2. Frank Asche & Subal Kumbhakar & Ragnar Tveteras, 2008. "A dynamic profit function with adjustment costs for outputs," Empirical Economics, Springer, vol. 35(2), pages 379-393, September.
    3. repec:eee:labchp:v:1:y:1986:i:c:p:473-522 is not listed on IDEAS
    4. David H. Good & M. Ishaq Nadiri & Robin C. Sickles, 1996. "Index Number and Factor Demand Approaches to the Estimation of Productivity," NBER Working Papers 5790, National Bureau of Economic Research, Inc.
    5. Eswaramoorthy, K., 1991. "U.S. livestock production and factor demand: a multiproduct dynamic dual approach," ISU General Staff Papers 1991010108000010523, Iowa State University, Department of Economics.
    6. Claudia S. Gómez-López & Luis A. Puch, 2008. "Uso de Energía en Economías Exportadoras de Petróleo," Economic Reports 24-08, FEDEA.
    7. Lecca, Patrizio & Swales, Kim & Turner, Karen, 2011. "An investigation of issues relating to where energy should enter the production function," Economic Modelling, Elsevier, vol. 28(6), pages 2832-2841.
    8. Lee, Lung-Fei & Pitt, Mark M., 1984. "Microeconometric Models of Consumer and Producer Demand with Limited Dependent Variables," Bulletins 7495, University of Minnesota, Economic Development Center.
    9. Moschini, GianCarlo, 2001. "Production risk and the estimation of ex-ante cost functions," Journal of Econometrics, Elsevier, vol. 100(2), pages 357-380, February.
    10. Ferenc Kiss & Bernard Lefebvre, 1987. "Econometric models of telecommunications firms : a survey," Revue Économique, Programme National Persée, vol. 38(2), pages 307-374.
    11. Jeffrey I. Bernstein & M. Ishaq Nadiri, 1988. "Corporate Taxes and Incentives and the Structure of Production: A Selected Survey," NBER Working Papers 2579, National Bureau of Economic Research, Inc.
    12. Jeffrey I. Bernstein & M. Ishaq Nadiri, 1989. "Research and Development and Intra-industry Spillovers: An Empirical Application of Dynamic Duality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(2), pages 249-267.
    13. Paul Schreyer & María Belén Zinni, 2021. "Productivity Measurement, R&D Assets, and Mark‐Ups in OECD Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(4), pages 787-809, December.
    14. Dargay, Joyce M., 1980. "The Demand for Energy in Swedish Manufacturing," Working Paper Series 33, Research Institute of Industrial Economics, revised Aug 1982.
    15. Palm, Franz C. & Pfann, Gerard A., 1998. "Sources of asymmetry in production factor dynamics," Journal of Econometrics, Elsevier, vol. 82(2), pages 361-392, February.
    16. Dong Hee Suh, 2015. "Declining Energy Intensity in the U.S. Agricultural Sector: Implications for Factor Substitution and Technological Change," Sustainability, MDPI, vol. 7(10), pages 1-14, September.
    17. Antonio Roma & Davide Pirino, 2008. "A Theoretical Model for the Extraction and Refinement of Natural Resources," Department of Economics University of Siena 537, Department of Economics, University of Siena.
    18. Coyle, Barry T., 1994. "Duality Models Of Production Under Risk: A Summary Of Results For Several Nonlinear Mean-Variance Models," 1994 Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses Risk, Technical Committee Meeting, March 24-26, 1994, Gulf Shores State Park, Alabama 271556, Regional Research Projects > S-232: Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk.
    19. Anupriya, & Graham, Daniel J. & Carbo, Jose M. & Anderson, Richard J. & Bansal, Prateek, 2020. "Understanding the costs of urban rail transport operations," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 292-316.
    20. Han, Han Soo, 1990. "The theoretical input-output system with flexible technological coefficients based on the two-stage level CES-type production function," ISU General Staff Papers 1990010108000010500, Iowa State University, Department of Economics.
    21. Swetlana Renner & Thomas Glauben & Heinrich Hockmann & Pierre Ouellette, 2015. "Primal and dual multi-output flexibility measures," Journal of Productivity Analysis, Springer, vol. 44(2), pages 127-136, October.

    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    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:nejare:28879. 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/nareaea.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.