IDEAS home Printed from https://ideas.repec.org/p/ags/pugtwp/331472.html
   My bibliography  Save this paper

Is there potential for government participation in flexibility mechanisms? - Evaluating the Finnish case

Author

Listed:
  • Honkatukia, Juha

Abstract

The European directives on emission trade and flexible mechanisms are making new kinds of economic instruments available for the implementation of climate policies. In addition to the EUwide trade in emission rights, governments will have the option to allow joint implementation between firms in the member countries. However, they will also have to define the scope for the use of these flexibility mechanisms. This study considers the effects of using these instruments in Finland, baring in mind the role the government might have in connection with the various mechanisms. There are several ways in which the government can affect the cost effectiveness of climate policies by either enhancing the functioning of the markets or by directly participating in them. The study uses the economic-engineering EV-model to assess three scenarios for government participation. We find that there is significant potential for reducing the costs of emission reductions by direct government participation in flexibility mechanisms especially in the long run.

Suggested Citation

  • Honkatukia, Juha, 2006. "Is there potential for government participation in flexibility mechanisms? - Evaluating the Finnish case," Conference papers 331472, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:331472
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/331472/files/2193.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krishna, Pravin & Mitra, Devashish, 1998. "Trade liberalization, market discipline and productivity growth: new evidence from India," Journal of Development Economics, Elsevier, vol. 56(2), pages 447-462, August.
    2. K. P. Kalirajan & R. T. Shand, 1999. "Frontier Production Functions and Technical Efficiency Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 13(2), pages 149-172, April.
    3. Kalirajan, K P & Shand, R T, 1999. "Frontier Production Functions and Technical Efficiency Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 13(2), pages 149-172, April.
    4. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    5. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    6. Rafik Baccouche & Mokhtar Kouki, 2003. "Stochastic Production Frontier and Technical Inefficiency: A Sensitivity Analysis," Econometric Reviews, Taylor & Francis Journals, vol. 22(1), pages 79-91, February.
    7. Paul Stoneman & Nathan Francis, 1994. "Double Deflation and the Measurement of Output and Productivity in UK Manufacturing 1979-89," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 1(3), pages 423-437.
    8. Schmidt, Peter & Lovell, C. A. Knox, 1980. "Estimating stochastic production and cost frontiers when technical and allocative inefficiency are correlated," Journal of Econometrics, Elsevier, vol. 13(1), pages 83-100, May.
    9. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    10. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    11. Waldman, Donald M., 1984. "Properties of technical efficiency estimators in the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 25(3), pages 353-364, July.
    12. Burki, Abid A. & Terrell, Dek, 1998. "Measuring production efficiency of small firms in Pakistan," World Development, Elsevier, vol. 26(1), pages 155-169, January.
    13. Ana Martin-Marcos & Cristina Suarez-Galvez, 2000. "Technical efficiency of Spanish manufacturing firms: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 32(10), pages 1249-1258.
    14. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    15. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    16. Kalirajan, K P & Obwona, M B, 1994. "Frontier Production Function: The Stochastic Coefficients Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(1), pages 87-96, February.
    17. Bjurek, Hans & Hjalmarsson, Lennart & Forsund, Finn R., 1990. "Deterministic parametric and nonparametric estimation of efficiency in service production : A comparison," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 213-227.
    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. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    2. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    3. Almas Heshmati, 2003. "Productivity Growth, Efficiency and Outsourcing in Manufacturing and Service Industries," Journal of Economic Surveys, Wiley Blackwell, vol. 17(1), pages 79-112, February.
    4. Ligia Melo & Néstor Espinosa, 2005. "Ineficiencia en la distribución de energía eléctrica: una aplicación de las funciones de distancia estocástica," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 23(49), pages 88-132, December.
    5. Rien J. L. M. Wagenvoort & Paul H. Schure, 2006. "A Recursive Thick Frontier Approach to Estimating Production Efficiency," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(2), pages 183-201, April.
    6. Peter Dawson & Stephen Dobson & Bill Gerrard, 2000. "Stochastic Frontiers and the Temporal Structure of Managerial Efficiency in English Soccer," Journal of Sports Economics, , vol. 1(4), pages 341-362, November.
    7. Peter Dawson & Stephen Dobson & Bill Gerrard, 2000. "Estimating Coaching Efficiency in Professional Team Sports: Evidence from English Association Football," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(4), pages 399-421, September.
    8. Ligia Melo B. & Néstor Espinosa, 2004. "Ineficiencia En La Distribución De Energía Eléctrica: Una Aplicación De Las Funciones De Distancia Estocástica," Borradores de Economia 2843, Banco de la Republica.
    9. Bravo-Ureta, Boris E. & Pinheiro, Antonio E., 1993. "Efficiency Analysis Of Developing Country Agriculture: A Review Of The Frontier Function Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 22(1), pages 1-14, April.
    10. Ligia Alba Melo-Becerra & Jorge Enrique Ramos-Forero & Pedro Oswaldo Hernández-Santamaría, 2017. "La educación superior en Colombia: situación actual y análisis de eficiencia," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 78, February.
    11. Per J. Agrell & Mehdi Farsi & Massimo Filippini & Martin Koller, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," Working Papers 0038, Swiss Economics.
    12. Schalk Hans Joachim & Untiedt Gerhard & Lüschow Jörg, 1995. "Technische Effizienz, Wachstum und Konvergenz in den Arbeitsmarktregionen der Bundesrepublik Deutschland (West). Eine ökonometrische Analyse für die Verarbeitende Industrie mit einem „Frontier Product," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 214(1), pages 25-49, February.
    13. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    14. Luca Casolaro & Giorgio Gobbi, 2004. "Information technology and productivity changes in the Italian banking industry," Temi di discussione (Economic working papers) 489, Bank of Italy, Economic Research and International Relations Area.
    15. Kevin Cullinane & Dong-Wook Song, 2003. "A stochastic frontier model of the productive efficiency of Korean container terminals," Applied Economics, Taylor & Francis Journals, vol. 35(3), pages 251-267.
    16. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    17. Gauri Khanna, 2006. "Technical Efficiency in Production and Resource Use in Sugar Cane: A Stochastic Frontier Production Function Analysis," IHEID Working Papers 15-2006, Economics Section, The Graduate Institute of International Studies.
    18. Becerra, Ligia Melo, 2004. "Intergovernmental fiscal relations : the Colombian case," Economics PhD Theses 0304, Department of Economics, University of Sussex Business School.
    19. Maria Francesca Cracolici & Peter Nijkamp & Piet Rietveld, 2008. "Assessment of Tourism Competitiveness by Analysing Destination Efficiency," Tourism Economics, , vol. 14(2), pages 325-342, June.
    20. Resti, Andrea, 1997. "Evaluating the cost-efficiency of the Italian Banking System: What can be learned from the joint application of parametric and non-parametric techniques," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 221-250, February.

    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:pugtwp:331472. 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/gtpurus.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.