IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa14p625.html
   My bibliography  Save this paper

The Impact of Public Support Intensity on Business R&D: Evidence from a Dose-Response Approach

Author

Listed:
  • Giovanni Cerulli
  • Bianca Potì

Abstract

This paper presents an original econometric model for estimating a dose-response function through a regression approach when: (i) treatment is continuous, (ii) individuals may react heterogeneously to observable confounders, and (iii) selection-into-treatment may be potentially endogenous. After describing the model, two estimation procedures are suggested: one based on OLS under Conditional Mean Independence (or CMI), and one based on Instrumental-Variables (IV) under selection endogeneity. The paper goes on by presenting ctreatreg, a user-written Stata routine for an easy implementation of such a model, thereby performing a Monte Carlo experiment to test the reliability of the model and of its software implementation. Finally, an application to real data for assessing the effect of public R&D support on companies' R&D expenditure is presented and results briefly commented. The usefulness of such a model for program evaluation is clearly stressed.

Suggested Citation

  • Giovanni Cerulli & Bianca Potì, 2014. "The Impact of Public Support Intensity on Business R&D: Evidence from a Dose-Response Approach," ERSA conference papers ersa14p625, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa14p625
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa14/e140826aFinal00625.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pratap, Sangeeta, 2003. "Do adjustment costs explain investment-cash flow insensitivity?," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11), pages 1993-2006.
    2. Elisabeth Müller & Volker Zimmermann, 2009. "The importance of equity finance for R&D activity," Small Business Economics, Springer, vol. 33(3), pages 303-318, October.
    3. Czarnitzki, Dirk & Lopes-Bento, Cindy, 2013. "Value for money? New microeconometric evidence on public R&D grants in Flanders," Research Policy, Elsevier, vol. 42(1), pages 76-89.
    4. Hall, Bronwyn H & Griliches, Zvi & Hausman, Jerry A, 1986. "Patents and R and D: Is There a Lag?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 265-283, June.
    5. Frederique Savignac, 2008. "Impact Of Financial Constraints On Innovation: What Can Be Learned From A Direct Measure?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 17(6), pages 553-569.
    6. Filipe Silva & Carlos Carreira, 2010. "Measuring firms’ financial constraints: Evidence for Portugal through different approaches," GEMF Working Papers 2010-15, GEMF, Faculty of Economics, University of Coimbra.
    7. Coad, Alex, 2010. "Neoclassical vs evolutionary theories of financial constraints: Critique and prospectus," Structural Change and Economic Dynamics, Elsevier, vol. 21(3), pages 206-218, August.
    8. Marino, Marianna & Parrotta, Pierpaolo & Sala, Davide, 2010. "New Perspectives on the Evaluation of Public R&D Funding," Working Papers 11-2, University of Aarhus, Aarhus School of Business, Department of Economics.
    9. Giovanni Cerulli, 2012. "contreatreg: A Stata module for estimating dose response treatment models under (continuous) treatment endogeneity and heterogeneous response to observable confounders," Italian Stata Users' Group Meetings 2012 03, Stata Users Group.
    10. Dirk Czarnitzki & Hanna Hottenrott, 2011. "R&D investment and financing constraints of small and medium-sized firms," Small Business Economics, Springer, vol. 36(1), pages 65-83, January.
    11. Wooldridge, Jeffrey M., 2003. "Further results on instrumental variables estimation of average treatment effects in the correlated random coefficient model," Economics Letters, Elsevier, vol. 79(2), pages 185-191, May.
    12. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    13. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    14. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    15. Allen N. Berger & Gregory F. Udell, 2002. "Small Business Credit Availability and Relationship Lending: The Importance of Bank Organisational Structure," Economic Journal, Royal Economic Society, vol. 112(477), pages 32-53, February.
    16. Mitchell A. Petersen & Raghuram G. Rajan, 1995. "The Effect of Credit Market Competition on Lending Relationships," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 407-443.
    17. Dirk Czarnitzki & Kornelius Kraft, 2004. "Management Control and Innovative Activity," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 24(1), pages 1-24, February.
    18. Sanford J. Grossman & Oliver D. Hart, 1982. "Corporate Financial Structure and Managerial Incentives," NBER Chapters, in: The Economics of Information and Uncertainty, pages 107-140, National Bureau of Economic Research, Inc.
    19. Bronwyn H. Hall, 1992. "Investment and Research and Development at the Firm Level: Does the Source of Financing Matter?," NBER Working Papers 4096, National Bureau of Economic Research, Inc.
    20. David, Paul A. & Hall, Bronwyn H. & Toole, Andrew A., 2000. "Is public R&D a complement or substitute for private R&D? A review of the econometric evidence," Research Policy, Elsevier, vol. 29(4-5), pages 497-529, April.
    21. Aerts, Kris & Schmidt, Tobias, 2008. "Two for the price of one?: Additionality effects of R&D subsidies: A comparison between Flanders and Germany," Research Policy, Elsevier, vol. 37(5), pages 806-822, June.
    22. Giovanni Cerulli, 2014. "CTREATREG: Stata module for estimating dose-response models under exogenous and endogenous treatment," CERIS Working Paper 201405, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    23. Katrin Hussinger, 2008. "R&D and subsidies at the firm level: an application of parametric and semiparametric two-step selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 729-747.
    24. Hall, Bronwyn H. & Lerner, Josh, 2010. "The Financing of R&D and Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 609-639, Elsevier.
    25. Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
    26. Giovanni Cerulli, 2010. "Modelling and Measuring the Effect of Public Subsidies on Business R&D: A Critical Review of the Econometric Literature," The Economic Record, The Economic Society of Australia, vol. 86(274), pages 421-449, September.
    27. BIA Michela & FLORES Carlos A. & MATTEI Alessandra, 2011. "Nonparametric Estimators of Dose-Response Functions," LISER Working Paper Series 2011-40, Luxembourg Institute of Socio-Economic Research (LISER).
    28. Dirk Czarnitzki & Georg Licht, 2006. "Additionality of public R&D grants in a transition economy," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 14(1), pages 101-131, March.
    29. D. Czarnitzki & H. Hottenrot, 2010. "Financing Constraints for Industrial Innovation: What Do We Know?," Review of Business and Economic Literature, Intersentia, vol. 55(3), pages 346-363, September.
    30. Hanna Hottenrott & Bettina Peters, 2012. "Innovative Capability and Financing Constraints for Innovation: More Money, More Innovation?," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1126-1142, November.
    31. Wooldridge, Jeffrey M., 1997. "On two stage least squares estimation of the average treatment effect in a random coefficient model," Economics Letters, Elsevier, vol. 56(2), pages 129-133, October.
    32. Giovanni Cerulli, 2012. "Ivtreatreg: a new STATA routine for estimating binary treatment models with heterogeneous response to treatment under observable and unobservable selection," CERIS Working Paper 201203, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    33. Alessandra Canepa & Paul Stoneman, 2008. "Financial constraints to innovation in the UK: evidence from CIS2 and CIS3," Oxford Economic Papers, Oxford University Press, vol. 60(4), pages 711-730, October.
    34. Aydoḡan Alti, 2003. "How Sensitive Is Investment to Cash Flow When Financing Is Frictionless?," Journal of Finance, American Finance Association, vol. 58(2), pages 707-722, April.
    35. Giovanni Cerulli, 2014. "CTREATREG: Stata module for estimating dose-response models under exogenous and endogenous treatment," CERIS Working Paper 201405, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    36. Giovanni Cerulli & Bianca Potì, 2010. "The differential impact of privately and publicly funded R&D on R&D investment and innovation: The Italian case," Working Papers 10, Doctoral School of Economics, Sapienza University of Rome, revised 2010.
    37. J. P. Gould, 1968. "Adjustment Costs in the Theory of Investment of the Firm," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 35(1), pages 47-55.
    38. Carlos Carreira & Filipe Silva, 2010. "No Deep Pockets: Some Stylized Empirical Results On Firms’ Financial Constraints," Journal of Economic Surveys, Wiley Blackwell, vol. 24(4), pages 731-753, September.
    39. Schneider, Cedric & Veugelers, Reinhilde, 2008. "On Young Innovative Companies: Why they matter and how (not) to policy support them," Working Papers 04-2008, Copenhagen Business School, Department of Economics.
    40. Steven N. Kaplan & Luigi Zingales, 1997. "Do Investment-Cash Flow Sensitivities Provide Useful Measures of Financing Constraints?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 169-215.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Avenyo, Elvis Korku & Konte, Maty & Mohnen, Pierre, 2019. "The employment impact of product innovations in sub-Saharan Africa: Firm-level evidence," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    2. Michel Dumont, 2015. "Working Paper 05-15 - Evaluation of federal tax incentives for private R&D in Belgium: An update," Working Papers 1505, Federal Planning Bureau, Belgium.

    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. Giovanni Cerulli & Bianca Poti', 2016. "Explaining firm sensitivity to R&D subsidies within a dose-response model: The role of financial constraints, real cost of investment, and strategic value of R&D," DEM Working Papers 2016/09, Department of Economics and Management.
    2. Silva Filipe & Carreira Carlos, 2017. "Financial Constraints: Do They Matter to Allocate R&D Subsidies?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 17(4), pages 1-26, October.
    3. Hanna Hottenrott & Bettina Peters, 2012. "Innovative Capability and Financing Constraints for Innovation: More Money, More Innovation?," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1126-1142, November.
    4. Filipe Silva & Carlos Carreira, 2012. "Do financial constraints threat the innovation process? Evidence from Portuguese firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 21(8), pages 701-736, November.
    5. Georgios Efthyvoulou & Priit Vahter, 2016. "Financial Constraints, Innovation Performance and Sectoral Disaggregation," Manchester School, University of Manchester, vol. 84(2), pages 125-158, March.
    6. Bettina Becker, 2013. "The Determinants of R&D Investment: A Survey of the Empirical Research," Discussion Paper Series 2013_09, Department of Economics, Loughborough University, revised Sep 2013.
    7. Hottenrott, Hanna & Lopes-Bento, Cindy, 2014. "(International) R&D collaboration and SMEs: The effectiveness of targeted public R&D support schemes," Research Policy, Elsevier, vol. 43(6), pages 1055-1066.
    8. José Ángel Zúñiga-Vicente & César Alonso-Borrego & Francisco J. Forcadell & José I. Galán, 2014. "Assessing The Effect Of Public Subsidies On Firm R&D Investment: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(1), pages 36-67, February.
    9. García-Quevedo, José & Segarra-Blasco, Agustí & Teruel, Mercedes, 2018. "Financial constraints and the failure of innovation projects," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 127-140.
    10. Demeulemeester, Sarah & Hottenrott, Hanna, 2015. "R&D subsidies and firms' cost of debt," DICE Discussion Papers 201, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    11. Michel Dumont, 2015. "Working Paper 05-15 - Evaluation of federal tax incentives for private R&D in Belgium: An update," Working Papers 1505, Federal Planning Bureau, Belgium.
    12. Hanna Hottenrott & Bronwyn H. Hall & Dirk Czarnitzki, 2016. "Patents as quality signals? The implications for financing constraints on R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 25(3), pages 197-217, April.
    13. Ugur, Mehmet & Trushin, Eshref, 2018. "Asymmetric information and heterogeneous effects of R&D subsidies: evidence on R&D investment and employment of R&D personel," Greenwich Papers in Political Economy 21943, University of Greenwich, Greenwich Political Economy Research Centre.
    14. Dirk Czarnitzki & Julie Delanote, 2015. "R&D policies for young SMEs: input and output effects," Small Business Economics, Springer, vol. 45(3), pages 465-485, October.
    15. Hall, Bronwyn H. & Lerner, Josh, 2010. "The Financing of R&D and Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 609-639, Elsevier.
    16. Giuseppina Testa & Katarzyna Szkuta, 2018. "Improving access to finance for young innovative enterprises with growth potential: evidence of impact on firms' output - Part 2. R&D grant schemes: lessons learned from evaluations," JRC Research Reports JRC109879, Joint Research Centre.
    17. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna, 2015. "UK and EU subsidies and private R&D investment: Is there input additionality?," MPRA Paper 68009, University Library of Munich, Germany, revised 16 Nov 2015.
    18. Filipe Silva & Carlos Carreira, 2012. "Measuring Firms’ Financial Constraints: A Rough Guide," Notas Económicas, Faculty of Economics, University of Coimbra, issue 36, pages 23-46, December.
    19. Bettina Becker, 2015. "Public R&D Policies And Private R&D Investment: A Survey Of The Empirical Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 29(5), pages 917-942, December.
    20. Thomas H. W. Ziesemer, 2021. "The Effects of R&D Subsidies and Publicly Performed R&D on Business R&D: A Survey," Hacienda Pública Española / Review of Public Economics, IEF, vol. 236(1), pages 171-205, March.

    More about this item

    Keywords

    treatment effects; dose-response function; continuous treatment; Monte Carlo; R&D support;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation

    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:wiw:wiwrsa:ersa14p625. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.