IDEAS home Printed from https://ideas.repec.org/p/hhs/slueko/2014_006.html
   My bibliography  Save this paper

International knowledge diffusion and its impact on the cost-effective clean-up of the Baltic Sea

Author

Listed:
  • Elofsson, Katarina

    () (Department of Economics, Swedish University of Agricultural Sciences)

Abstract

This paper analyzes the implications of international knowledge diffusion for the costs of Baltic-wide policy to reduce nutrient emissions to the Baltic Sea. In particular, the impact on the distribution of abatement and costs over time and space is investigated, and the relative importance of knowledge spillovers between countries and nutrient spillovers between marine basins is examined. Using a spatial and dynamic cost-effectiveness model over the Baltic Sea drainage basin, it is shown that theoretically, the presence of knowledge spillovers could imply that abatement can be cost-effective even if the cost is comparatively high and the impact on water quality is zero. The empirical simulations show that a more likely outcome is that higher knowledge dispersal leads to a further concentration of abatement to countries with large, low-cost abatement opportunities.

Suggested Citation

  • Elofsson, Katarina, 2014. "International knowledge diffusion and its impact on the cost-effective clean-up of the Baltic Sea," Working Paper Series 2014:06, Swedish University of Agricultural Sciences, Department Economics.
  • Handle: RePEc:hhs:slueko:2014_006
    as

    Download full text from publisher

    File URL: http://pub.epsilon.slu.se/11500/7/elofsson_k_140909.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Marita Laukkanen & Anni Huhtala, 2008. "Optimal management of a eutrophied coastal ecosystem: balancing agricultural and municipal abatement measures," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 39(2), pages 139-159, February.
    2. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    3. Bernard, Andrew B. & Bradford Jensen, J., 1999. "Exceptional exporter performance: cause, effect, or both?," Journal of International Economics, Elsevier, vol. 47(1), pages 1-25, February.
    4. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
    5. Bramoulle, Yann & Olson, Lars J., 2005. "Allocation of pollution abatement under learning by doing," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1935-1960, September.
    6. Ing-Marie Gren & Paul Jannke & Katarina Elofsson, 1997. "Cost-Effective Nutrient Reductions to the Baltic Sea," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 10(4), pages 341-362, December.
    7. Lindqvist, Martin & Gren, Ing-Marie, 2013. "Cost effective nutrient abatement for the Baltic Sea under learning-by-doing induced technical change," Working Paper Series 2013:1, Swedish University of Agricultural Sciences, Department Economics.
    8. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    9. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    10. Rasmussen, Tobias N., 2001. "CO2 abatement policy with learning-by-doing in renewable energy," Resource and Energy Economics, Elsevier, vol. 23(4), pages 297-325, October.
    11. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    12. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    13. Edi Defrancesco & Paola Gatto & Ford Runge & Samuele Trestini, 2008. "Factors Affecting Farmers' Participation in Agri-environmental Measures: A Northern Italian Perspective," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 114-131, February.
    14. Markowska, Agnieszka & Zylicz, Tomasz, 1999. "Costing an international public good: the case of the Baltic Sea," Ecological Economics, Elsevier, vol. 30(2), pages 301-316, August.
    15. Patrik Söderholm & Ger Klaassen, 2007. "Wind Power in Europe: A Simultaneous Innovation–Diffusion Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(2), pages 163-190, February.
    16. Eaton, Jonathan & Kortum, Samuel, 1996. "Trade in ideas Patenting and productivity in the OECD," Journal of International Economics, Elsevier, vol. 40(3-4), pages 251-278, May.
    17. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
    18. Rubin, Edward S & Taylor, Margaret R & Yeh, Sonia & Hounshell, David A, 2004. "Learning curves for environmental technology and their importance for climate policy analysis," Energy, Elsevier, vol. 29(9), pages 1551-1559.
    19. Loschel, Andreas, 2002. "Technological change in economic models of environmental policy: a survey," Ecological Economics, Elsevier, vol. 43(2-3), pages 105-126, December.
    20. Söderholm, Patrik & Sundqvist, Thomas, 2007. "Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies," Renewable Energy, Elsevier, vol. 32(15), pages 2559-2578.
    21. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    22. Isabel Vanslembrouck & Guido Huylenbroeck & Wim Verbeke, 2002. "Determinants of the Willingness of Belgian Farmers to Participate in Agri-environmental Measures," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(3), pages 489-511.
    23. Gren, Ing-Marie, 2009. "A numerical model for dynamic cost effective mitigation of eutrophication with spatial heterogeneity in the Baltic Sea," Department of Economics publications 4311, Swedish University of Agricultural Sciences, Department of Economics.
    24. Katarina Elofsson, 2007. "Cost Uncertainty and Unilateral Abatement," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(2), pages 143-162, February.
    25. Ek, Kristina & Söderholm, Patrik, 2010. "Technology learning in the presence of public R&D: The case of European wind power," Ecological Economics, Elsevier, vol. 69(12), pages 2356-2362, October.
    26. Tooraj Jamasb, 2007. "Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 51-72.
    27. René Kemp, 1998. "The Diffusion of Biological Waste-Water Treatment Plants in the Dutch Food and Beverage Industry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 12(1), pages 113-136, July.
    28. Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
    29. Berglund, Christer & Soderholm, Patrik, 2006. "Modeling technical change in energy system analysis: analyzing the introduction of learning-by-doing in bottom-up energy models," Energy Policy, Elsevier, vol. 34(12), pages 1344-1356, August.
    30. Lassi Ahlvik & Yulia Pavlova, 2013. "A Strategic Analysis of Eutrophication Abatement in the Baltic Sea," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(3), pages 353-378, November.
    31. Goulder, Lawrence H. & Mathai, Koshy, 2000. "Optimal CO2 Abatement in the Presence of Induced Technological Change," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 1-38, January.
    32. Klaassen, Ger & Miketa, Asami & Larsen, Katarina & Sundqvist, Thomas, 2005. "The impact of R&D on innovation for wind energy in Denmark, Germany and the United Kingdom," Ecological Economics, Elsevier, vol. 54(2-3), pages 227-240, August.
    33. Mark A. Moore & Anthony E. Boardman & Aidan R. Vining & David L. Weimer & David H. Greenberg, 2004. "“Just give me a number!” Practical values for the social discount rate," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 23(4), pages 789-812.
    34. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 443-478.
    35. Martin L. Weitzman, 2007. "A Review of the Stern Review on the Economics of Climate Change," Journal of Economic Literature, American Economic Association, vol. 45(3), pages 703-724, September.
    36. Xu, Bin, 2000. "Multinational enterprises, technology diffusion, and host country productivity growth," Journal of Development Economics, Elsevier, vol. 62(2), pages 477-493, August.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Baltic Sea; knowledge spillovers; learning rate; nitrogen.;

    JEL classification:

    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    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:hhs:slueko:2014_006. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Elizabeth Hillerius). General contact details of provider: http://edirc.repec.org/data/iesluse.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.