IDEAS home Printed from https://ideas.repec.org/p/cpb/memodm/158.html
   My bibliography  Save this paper

Successful knowledge policies

Author

Listed:
  • Maarten Cornet
  • Free Huizinga

    (CPB Netherlands Bureau for Economic Policy Analysis)

  • Bert Minne
  • Dinand Webbink

Abstract

Knowledge policy is widely considered to be an important subject. The Dutch government conducts intensive policy on the foundations of the knowledge economy: education, research and innovation. In the literature and in policy circles, proposals for additional knowledge policies or reforms of existing policies are currently being discussed. Examples are the Knowledge Investment Agenda of the Innovation Platform, new innovation policies of the Ministry of Economic Affairs, an advice of the Council of Economic Advisors about research, education and entrepreneurship and an advice of the Education Council.Little is known, however, about the effects of all these policies. The question whether knowledge policy works remains difficult to answer. Despite much research effort in the past decades, the manner in which the creation and application of knowledge comes about and the way policy can influence that process are still not well understood. It is difficult, therefore, to form a good judgement about the optimal size and form of knowledge policy.This article discusses several policy options in the fields of education, research, and innovation that are likely to have beneficial, neutral, or negative effects on overall welfare in the Netherlands. For some options, the effects are unknown. Beneficial education policies are, for instance, policies aimed at increasing teachers' quality and early childhood education programs. Additional R&D tax credits for new firms have favourable effects on innovation. A further increase in the research incentives to universities is expected to raise scientific output.

Suggested Citation

  • Maarten Cornet & Free Huizinga & Bert Minne & Dinand Webbink, 2006. "Successful knowledge policies," CPB Memorandum 158, CPB Netherlands Bureau for Economic Policy Analysis.
  • Handle: RePEc:cpb:memodm:158
    as

    Download full text from publisher

    File URL: https://www.cpb.nl/sites/default/files/publicaties/download/memo1580.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James Heckman, 2011. "Policies to foster human capital," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 73-137.
    2. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 497-532.
    3. Cunha, Flavio & Heckman, James J. & Lochner, Lance, 2006. "Interpreting the Evidence on Life Cycle Skill Formation," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 12, pages 697-812, Elsevier.
    4. Edwin Leuven & Hessel Oosterbeek, 2004. "Evaluating the Effect of Tax Deductions on Training," Journal of Labor Economics, University of Chicago Press, vol. 22(2), pages 461-488, April.
    5. Angrist, Joshua D & Lavy, Victor, 2001. "Does Teacher Training Affect Pupil Learning? Evidence from Matched Comparisons in Jerusalem Public Schools," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 343-369, April.
    6. Steve Gibbons & Stephen Machin, 2001. "Valuing Primary Schools," CEE Discussion Papers 0015, Centre for the Economics of Education, LSE.
    7. Stephen Machin & Sandra McNally & Olmo Silva, 2007. "New Technology in Schools: Is There a Payoff?," Economic Journal, Royal Economic Society, vol. 117(522), pages 1145-1167, July.
    8. David N. Figlio & Maurice E. Lucas, 2004. "What's in a Grade? School Report Cards and the Housing Market," American Economic Review, American Economic Association, vol. 94(3), pages 591-604, June.
    9. Rouse, Cecilia Elena & Krueger, Alan B., 2004. "Putting computerized instruction to the test: a randomized evaluation of a "scientifically based" reading program," Economics of Education Review, Elsevier, vol. 23(4), pages 323-338, August.
    10. Lorraine Dearden & Carl Emmerson & Christine Frayne & Costas Meghir, 2005. "Education subsidies and school drop-out rates," IFS Working Papers W05/11, Institute for Fiscal Studies.
    11. Joshua Angrist & Victor Lavy, 2002. "New Evidence on Classroom Computers and Pupil Learning," Economic Journal, Royal Economic Society, vol. 112(482), pages 735-765, October.
    12. Edwin Leuven & Mikael Lindahl & Hessel Oosterbeek & Dinand Webbink, 2007. "The Effect of Extra Funding for Disadvantaged Pupils on Achievement," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 721-736, November.
    13. Bishop, John H, 1997. "The Effect of National Standards and Curriculum-Based Exams on Achievement," American Economic Review, American Economic Association, vol. 87(2), pages 260-264, May.
    14. Erica Field, 2006. "Educational Debt Burden and Career Choice: Evidence from a Financial Aid Experiment at NYU Law School," NBER Working Papers 12282, National Bureau of Economic Research, Inc.
    15. Simone Dobbelsteen & Jesse Levin & Hessel Oosterbeek, 2002. "The causal effect of class size on scholastic achievement: distinguishing the pure class size effect from the effect of changes in class composition," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(1), pages 17-38, February.
    16. Austan Goolsbee & Jonathan Guryan, 2006. "The Impact of Internet Subsidies in Public Schools," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 336-347, May.
    17. Victor Lavy, 2002. "Evaluating the Effect of Teachers' Group Performance Incentives on Pupil Achievement," Journal of Political Economy, University of Chicago Press, vol. 110(6), pages 1286-1317, December.
    18. Bishop, J., 1997. "The Effect of national Standards and Curriculum-Based Exams on Achievement," Papers 97-01, Cornell - Center for Advanced Human Resource Studies.
    19. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 533-575.
    20. Angrist, Joshua & Lavy, Victor, 2004. "The Effect of High Stakes High School Achievement Awards: Evidence from a School-Centered Randomized Trial," IZA Discussion Papers 1146, Institute of Labor Economics (IZA).
    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. Rodrigo Belo & Pedro Ferreira & Rahul Telang, 2014. "Broadband in School: Impact on Student Performance," Management Science, INFORMS, vol. 60(2), pages 265-282, February.
    2. Eric D. Gould & Victor Lavy & M. Daniele Paserman, 2004. "Immigrating to Opportunity: Estimating the Effect of School Quality Using a Natural Experiment on Ethiopians in Israel," The Quarterly Journal of Economics, Oxford University Press, vol. 119(2), pages 489-526.
    3. Bulman, George & Fairlie, Robert W., 2015. "Technology and Education: Computers, Software, and the Internet," IZA Discussion Papers 9432, Institute of Labor Economics (IZA).
    4. Victor Lavy & Analia Schlosser, 2005. "Targeted Remedial Education for Underperforming Teenagers: Costs and Benefits," Journal of Labor Economics, University of Chicago Press, vol. 23(4), pages 839-874, October.
    5. Hall, Caroline & Lundin, Martin & Sibbmark, Kristina, 2019. "A laptop for every child? The impact of ICT on educational outcomes," Working Paper Series 2019:26, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Vegas, Emiliana & Ganimian, Alejandro, 2018. "Theory and Evidence on Teacher Policies in Developed and Developing Countries," IDB Publications (Working Papers) 4597, Inter-American Development Bank.
    7. Ludger Wößmann, 2003. "Schooling Resources, Educational Institutions and Student Performance: the International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(2), pages 117-170, May.
    8. West, Martin R. & Woessmann, Ludger, 2006. "Which school systems sort weaker students into smaller classes? International evidence," European Journal of Political Economy, Elsevier, vol. 22(4), pages 944-968, December.
    9. Comi, Simona Lorena & Argentin, Gianluca & Gui, Marco & Origo, Federica & Pagani, Laura, 2017. "Is it the way they use it? Teachers, ICT and student achievement," Economics of Education Review, Elsevier, vol. 56(C), pages 24-39.
    10. Bulman, George & Fairlie, Robert W, 2016. "Technology and Education: Computers, Software, and the Internet," Santa Cruz Department of Economics, Working Paper Series qt0rb5x6bf, Department of Economics, UC Santa Cruz.
    11. Haelermans, Carla & De Witte, Kristof, 2012. "The role of innovations in secondary school performance – Evidence from a conditional efficiency model," European Journal of Operational Research, Elsevier, vol. 223(2), pages 541-549.
    12. Bulman, George & Fairlie, Robert W, 2015. "Technology and Education: Computers, Software, and the Internet," Santa Cruz Department of Economics, Working Paper Series qt5265z87t, Department of Economics, UC Santa Cruz.
    13. Lex Borghans & Hans Heijke, 2005. "The production and use of human capital: Introduction," Education Economics, Taylor & Francis Journals, vol. 13(2), pages 133-142.
    14. Hall, Caroline & Lundin, Martin & Sibbmark, Kristina, 2021. "A laptop for every child? The impact of technology on human capital formation," Labour Economics, Elsevier, vol. 69(C).
    15. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    16. Marchionni, Mariana & Vazquez, Emmanuel & Pinto, Florencia, 2012. "Desigualdad educativa en la Argentina. Análisis en base a los datos PISA 2009 [Education Inequality in Argentina. An analysis based on PISA 2009 data]," MPRA Paper 56420, University Library of Munich, Germany.
    17. Stephen Machin & Sandra McNally & Olmo Silva, 2007. "New Technology in Schools: Is There a Payoff?," Economic Journal, Royal Economic Society, vol. 117(522), pages 1145-1167, July.
    18. John Bishop & Ludger Wossmann, 2004. "Institutional Effects in a Simple Model of Educational Production," Education Economics, Taylor & Francis Journals, vol. 12(1), pages 17-38.
    19. Nerea Gómez-Fernández & Mauro Mediavilla, 2018. "Do information and communication technologies (ICT) improve educational outcomes? Evidence for Spain in PISA 2015," Working Papers 2018/20, Institut d'Economia de Barcelona (IEB).
    20. Bet, German & Cristia, Julián P. & Ibarrarán, Pablo, 2014. "The Effects of Shared School Technology Access on Students Digital Skills in Peru," IZA Discussion Papers 7954, Institute of Labor Economics (IZA).

    More about this item

    JEL classification:

    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    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:cpb:memodm:158. 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: . General contact details of provider: https://edirc.repec.org/data/cpbgvnl.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 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: (email available below). General contact details of provider: https://edirc.repec.org/data/cpbgvnl.html .

    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.