IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v68y2025i1d10.1007_s00181-024-02634-8.html
   My bibliography  Save this article

Modelling green knowledge production and environmental policies with semiparametric panel data regression models

Author

Listed:
  • Antonio Musolesi

    (University of Ferrara and SEEDS)

  • Davide Golinelli

    (University of Ferrara and SEEDS)

  • Massimiliano Mazzanti

    (University of Ferrara and SEEDS)

Abstract

This paper introduces a novel semiparametric econometric framework for policy evaluation and estimates a green knowledge production function for a large, 30-year panel dataset of high-income countries. Due to the substantial uncertainty in the data-generating process and the potential presence of nonlinearities and latent common factors, the paper explores semiparametric panel specifications that go beyond interactive fixed effects fully parametric models. The findings suggest that (i) the semiparametric additive specification with individual time trends is the preferred model, (ii) threshold effects and nonlinearities are salient features of the data that parametric specifications fail to capture, and (iii) the impact of environmental policy is noteworthy and exhibits clear heterogeneity when modelled as a nonparametric function of specific knowledge inputs. The evidence reveals a significant nonlinear policy inducement effect stemming from R&D investments.

Suggested Citation

  • Antonio Musolesi & Davide Golinelli & Massimiliano Mazzanti, 2025. "Modelling green knowledge production and environmental policies with semiparametric panel data regression models," Empirical Economics, Springer, vol. 68(1), pages 327-352, January.
  • Handle: RePEc:spr:empeco:v:68:y:2025:i:1:d:10.1007_s00181-024-02634-8
    DOI: 10.1007/s00181-024-02634-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00181-024-02634-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00181-024-02634-8?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167, Enero.
    2. Verdolini, Elena & Galeotti, Marzio, 2011. "At home and abroad: An empirical analysis of innovation and diffusion in energy technologies," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 119-134, March.
    3. Raphael Calel, 2020. "Adopt or Innovate: Understanding Technological Responses to Cap-and-Trade," American Economic Journal: Economic Policy, American Economic Association, vol. 12(3), pages 170-201, August.
    4. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    5. Nesta, Lionel & Vona, Francesco & Nicolli, Francesco, 2014. "Environmental policies, competition and innovation in renewable energy," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 396-411.
    6. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    7. Laurent Gobillon & Thierry Magnac, 2016. "Regional Policy Evaluation: Interactive Fixed Effects and Synthetic Controls," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 535-551, July.
    8. Simon N. Wood, 2020. "Rejoinder on: Inference and computation with Generalized Additive Models and their extensions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 354-358, June.
    9. Valeria Costantini & Giorgia Sforna, 2014. "Do bilateral trade relationships influence the distribution of CDM projects?," Climate Policy, Taylor & Francis Journals, vol. 14(5), pages 559-580, September.
    10. Clive Granger & Yongil Jeon, 2004. "Forecasting Performance of Information Criteria with Many Macro Series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(10), pages 1227-1240.
    11. Nesta, Lionel & Vona, Francesco & Nicolli, Francesco, 2014. "Environmental policies, competition and innovation in renewable energy," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 396-411.
    12. Berman, Eli & Bui, Linda T. M., 2001. "Environmental regulation and labor demand: evidence from the South Coast Air Basin," Journal of Public Economics, Elsevier, vol. 79(2), pages 265-295, February.
    13. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    14. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    15. Popp, David, 2019. "Environmental Policy and Innovation: A Decade of Research," International Review of Environmental and Resource Economics, now publishers, vol. 13(3-4), pages 265-337, September.
    16. Eli Berman & Linda T. M. Bui, 2001. "Environmental Regulation And Productivity: Evidence From Oil Refineries," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 498-510, August.
    17. Paul Lanoie & Jérémy Laurent‐Lucchetti & Nick Johnstone & Stefan Ambec, 2011. "Environmental Policy, Innovation and Performance: New Insights on the Porter Hypothesis," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 20(3), pages 803-842, September.
    18. Matthieu Glachant & Antoine Dechezleprêtre & Ivan Hascic & Nick Johnstone & Yann Ménière, 2009. "Invention and Transfer of Climate Change Mitigation Technologies on a Global Scale: A Study Drawing on Patent Data," Working Papers 2009.82, Fondazione Eni Enrico Mattei.
    19. Daron Acemoglu & Ufuk Akcigit & Douglas Hanley & William Kerr, 2016. "Transition to Clean Technology," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 52-104.
    20. Simon N. Wood, 2003. "Thin plate regression splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(1), pages 95-114, February.
    21. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    22. Fujiki, Hiroshi & Hsiao, Cheng, 2015. "Disentangling the effects of multiple treatments—Measuring the net economic impact of the 1995 great Hanshin-Awaji earthquake," Journal of Econometrics, Elsevier, vol. 186(1), pages 66-73.
    23. Albrizio, Silvia & Kozluk, Tomasz & Zipperer, Vera, 2017. "Environmental policies and productivity growth: Evidence across industries and firms," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 209-226.
    24. Simon N. Wood, 2013. "On p-values for smooth components of an extended generalized additive model," Biometrika, Biometrika Trust, vol. 100(1), pages 221-228.
    25. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    26. 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.
    27. Nick Johnstone & Ivan Haščič & Julie Poirier & Marion Hemar & Christian Michel, 2012. "Environmental policy stringency and technological innovation: evidence from survey data and patent counts," Applied Economics, Taylor & Francis Journals, vol. 44(17), pages 2157-2170, June.
    28. Su, Liangjun & Jin, Sainan, 2012. "Sieve estimation of panel data models with cross section dependence," Journal of Econometrics, Elsevier, vol. 169(1), pages 34-47.
    29. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    30. Adam B. Jaffe & Karen Palmer, 1997. "Environmental Regulation And Innovation: A Panel Data Study," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 610-619, November.
    31. Adam B. Jaffe et al., 1995. "Environmental Regulation and the Competitiveness of U.S. Manufacturing: What Does the Evidence Tell Us?," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 132-163, March.
    32. Nick Johnstone & Ivan Haščič & David Popp, 2010. "Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 133-155, January.
    33. Papke, Leslie E., 1994. "Tax policy and urban development : Evidence from the Indiana enterprise zone program," Journal of Public Economics, Elsevier, vol. 54(1), pages 37-49, May.
    34. David Popp, 2002. "Induced Innovation and Energy Prices," American Economic Review, American Economic Association, vol. 92(1), pages 160-180, March.
    35. repec:hal:spmain:info:hdl:2441/7ii74oepuk9mc8fhilvvhfmbgp is not listed on IDEAS
    36. repec:spo:wpmain:info:hdl:2441/7ii74oepuk9mc8fhilvvhfmbgp is not listed on IDEAS
    37. David Popp & Francesco Vona & Giovanni Marin & Ziqiao Chen, 2020. "The Employment Impact of Green Fiscal Push: Evidence from the American Recovery Act," SciencePo Working papers Main hal-03403066, HAL.
    38. Simon N. Wood, 2020. "Inference and computation with generalized additive models and their extensions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 307-339, June.
    39. David Popp, 2019. "Environmental policy and innovation: a decade of research," CESifo Working Paper Series 7544, CESifo.
    40. Das, M., 2005. "Instrumental variables estimators of nonparametric models with discrete endogenous regressors," Journal of Econometrics, Elsevier, vol. 124(2), pages 335-361, February.
    41. James J. Heckman & Jeffrey A. Smith, 1999. "The Pre-Program Earnings Dip and the Determinants of Participation in a Social Program: Implications for Simple Program Evaluation Strategies," NBER Working Papers 6983, National Bureau of Economic Research, Inc.
    42. Costantini, Valeria & Mazzanti, Massimiliano, 2012. "On the green and innovative side of trade competitiveness? The impact of environmental policies and innovation on EU exports," Research Policy, Elsevier, vol. 41(1), pages 132-153.
    43. Giovanni Cerulli, 2014. "ivtreatreg: A command for fitting binary treatment models with heterogeneous response to treatment and unobservable selection," Stata Journal, StataCorp LLC, vol. 14(3), pages 453-480, September.
    44. David Popp, 2019. "Environmental Policy and Innovation: A Decade of Research," NBER Working Papers 25631, National Bureau of Economic Research, Inc.
    45. Jeffrey M. Wooldridge, 2005. "Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 385-390, May.
    46. Requate, Till & Unold, Wolfram, 2003. "Environmental policy incentives to adopt advanced abatement technology:: Will the true ranking please stand up?," European Economic Review, Elsevier, vol. 47(1), pages 125-146, February.
    47. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506, Enero.
    48. ., 1997. "Social Traps and Environmental Policy," Chapters, in: Frontiers in Ecological Economics, chapter 24, pages 375-380, Edward Elgar Publishing.
    49. Simon N. Wood & Natalya Pya & Benjamin Säfken, 2016. "Smoothing Parameter and Model Selection for General Smooth Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1548-1563, October.
    50. Brunnermeier, Smita B. & Cohen, Mark A., 2003. "Determinants of environmental innovation in US manufacturing industries," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 278-293, March.
    51. Milliman, Scott R. & Prince, Raymond, 1989. "Firm incentives to promote technological change in pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 17(3), pages 247-265, November.
    52. Ross McKitrick, 2007. "Why did US air pollution decline after 1970?," Empirical Economics, Springer, vol. 33(3), pages 491-513, November.
    53. Inyoung Kim & Noah D. Cohen & Raymond J. Carroll, 2003. "Semiparametric Regression Splines in Matched Case-Control Studies," Biometrics, The International Biometric Society, vol. 59(4), pages 1158-1169, December.
    54. Heckman, James J & Smith, Jeffrey A, 1999. "The Pre-programme Earnings Dip and the Determinants of Participation in a Social Programme. Implications for Simple Programme Evaluation Strategies," Economic Journal, Royal Economic Society, vol. 109(457), pages 313-348, July.
    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. Massimiliano Mazzanti & Antonio Musolesi, 2020. "Modeling Green Knowledge Production and Environmental Policies with Semiparametric Panel Data Regression models," SEEDS Working Papers 1420, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2020.
    2. Massimiliano Mazzanti & Antonio Musolesi, 2020. "A Semiparametric Analysis of Green Inventions and Environmental Policies," SEEDS Working Papers 0920, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2020.
    3. Herman, Kyle S. & Xiang, Jun, 2019. "Induced innovation in clean energy technologies from foreign environmental policy stringency?," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 198-207.
    4. Galeotti, Marzio & Salini, Silvia & Verdolini, Elena, 2020. "Measuring environmental policy stringency: Approaches, validity, and impact on environmental innovation and energy efficiency," Energy Policy, Elsevier, vol. 136(C).
    5. Rubashkina, Yana & Galeotti, Marzio & Verdolini, Elena, 2015. "Environmental regulation and competitiveness: Empirical evidence on the Porter Hypothesis from European manufacturing sectors," Energy Policy, Elsevier, vol. 83(C), pages 288-300.
    6. Massimiliano Mazzanti & Giovanni Marin & Susanna Mancinelli & Francesco Nicolli, 2015. "Carbon dioxide reducing environmental innovations, sector upstream/downstream integration and policy: evidence from the EU," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 709-735, November.
    7. Samant, Shantala & Thakur-Wernz, Pooja & Hatfield, Donald E., 2020. "Does the focus of renewable energy policy impact the nature of innovation? Evidence from emerging economies," Energy Policy, Elsevier, vol. 137(C).
    8. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
    9. Rik L. Rozendaal & Herman R. J. Vollebergh & Rik Rozendaal, 2021. "Policy-Induced Innovation in Clean Technologies: Evidence from the Car Market," CESifo Working Paper Series 9422, CESifo.
    10. Musolesi Antonio & Mazzanti Massimiliano, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic development relation for advanced countries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 521-541, December.
    11. Zhu, Zhishuang & Liao, Hua & Liu, Li, 2021. "The role of public energy R&D in energy conservation and transition: Experiences from IEA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    12. Barbieri, Nicolò & Marzucchi, Alberto & Rizzo, Ugo, 2023. "Green technologies, interdependencies, and policy," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    13. Zhuanlan Sun & Demi Zhu, 2023. "Investigating environmental regulation effects on technological innovation: A meta-regression analysis," Energy & Environment, , vol. 34(3), pages 463-492, May.
    14. Nicolo Barbieri & Alberto Marzucchi & Ugo Rizzo, 2021. "Green technologies, complementarities, and policy," SPRU Working Paper Series 2021-08, SPRU - Science Policy Research Unit, University of Sussex Business School.
    15. Hille, Erik & Althammer, Wilhelm & Diederich, Henning, 2020. "Environmental regulation and innovation in renewable energy technologies: Does the policy instrument matter?," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    16. Grafström, Jonas & Poudineh, Rahmat, 2023. "No evidence of counteracting policy effects on European solar power invention and diffusion," Energy Policy, Elsevier, vol. 172(C).
    17. Brian Chi-ang Lin & Siqi Zheng & Nicolò Barbieri & Claudia Ghisetti & Marianna Gilli & Giovanni Marin & Francesco Nicolli, 2016. "A Survey Of The Literature On Environmental Innovation Based On Main Path Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 30(3), pages 596-623, July.
    18. Francesco Crespi & Claudia Ghisetti & Francesco Quatraro, 2015. "Environmental and innovation policies for the evolution of green technologies: a survey and a test," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 343-370, December.
    19. Gugler, Klaus & Szücs, Florian & Wiedenhofer, Thomas, 2024. "Environmental Policies and directed technological change," Journal of Environmental Economics and Management, Elsevier, vol. 124(C).
    20. Feng, Siyu & Lazkano, Itziar, 2022. "Innovation trends in electricity storage: What drives global innovation?," Energy Policy, Elsevier, vol. 167(C).

    More about this item

    Keywords

    Green knowledge generation; Environmental policy; Heterogeneous policy effect; Large panels; Interactive Fixed effects; Spline functions; Model selection;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

    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:spr:empeco:v:68:y:2025:i:1:d:10.1007_s00181-024-02634-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.