IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v53y2019i4d10.1007_s11135-019-00855-z.html
   My bibliography  Save this article

A structural equation model to assess the impact of agricultural research expenditure on multiple dimensions

Author

Listed:
  • Alessandro Magrini

    (University of Florence)

  • Fabio Bartolini

    (University of Pisa)

  • Alessandra Coli

    (University of Pisa)

  • Barbara Pacini

    (University of Pisa)

Abstract

The economic crisis and the pressure towards efficient and effective use of public money claim for a higher accountability of research expenditure, as well as for a greater proximity of research to the needs of community. While agricultural productivity represents a worldwide goal for agricultural research as a response to growing food, feed and energy demands, other objectives besides productivity are becoming central. The challenge is to take into account broader impacts that go beyond academic and economic ones, and to improve knowledge on the causal impact-generating mechanisms. In this paper, we adopt a causal perspective and estimate the impact of agricultural research expenditure on multiple dimensions. We develop a structural equation model relating research expenditure, research activity, productivity and multiple impact indicators within a dynamic impact pathway, accounting for existing domain knowledge on causal relationships and their lag structures. The model is applied on EU 15 countries over the period 1980–2014, making use of official statistics from several European databases.

Suggested Citation

  • Alessandro Magrini & Fabio Bartolini & Alessandra Coli & Barbara Pacini, 2019. "A structural equation model to assess the impact of agricultural research expenditure on multiple dimensions," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2063-2080, July.
    • Handle: RePEc:spr:qualqt:v:53:y:2019:i:4:d:10.1007_s11135-019-00855-z
    DOI: 10.1007/s11135-019-00855-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-019-00855-z
    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/s11135-019-00855-z?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. Alston, Julian M. & Wyatt, T. J. & Pardey, Philip G. & Marra, Michele C. & Chan-Kang, Connie, 2000. "A meta-analysis of rates of return to agricultural R & D: ex pede Herculem?," Research reports 113, International Food Policy Research Institute (IFPRI).
    2. Lutz Bornmann, 2013. "What is societal impact of research and how can it be assessed? a literature survey," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 217-233, February.
    3. Gaunand, A. & Hocdé, A. & Lemarié, S. & Matt, M. & Turckheim, E.de, 2015. "How does public agricultural research impact society? A characterization of various patterns," Research Policy, Elsevier, vol. 44(4), pages 849-861.
    4. Thirtle, Colin & Lin, Lin & Piesse, Jenifer, 2003. "The Impact of Research-Led Agricultural Productivity Growth on Poverty Reduction in Africa, Asia and Latin America," World Development, Elsevier, vol. 31(12), pages 1959-1975, December.
    5. Philip G. Pardey & Barbara Craig, 1989. "Causal Relationships between Public Sector Agricultural Research Expenditures and Output," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 9-19.
    6. Barbara J. Craig & Philip G. Pardey & Johannes Roseboom, 1997. "International Productivity Patterns: Accounting for Input Quality, Infrastructure, and Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1064-1076.
    7. Peter Weißhuhn & Katharina Helming & Johanna Ferretti, 2018. "Research impact assessment in agriculture—A review of approaches and impact areas," Research Evaluation, Oxford University Press, vol. 27(1), pages 36-42.
    8. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    9. Andrews, Donald W. K. & Fair, Ray C., 1992. "Estimation of polynomial distributed lags and leads with end point constraints," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 123-139.
    10. Sheng, Yu & Gray, Emily M. & Mullen, John D., 2011. "Public investment in R&D and extension and productivity in Australian broadacre agriculture," 2011 Conference (55th), February 8-11, 2011, Melbourne, Australia 100712, Australian Agricultural and Resource Economics Society.
    11. Julian M. Alston & Matthew A. Andersen & Jennifer S. James & Philip G. Pardey, 2011. "The Economic Returns to U.S. Public Agricultural Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(5), pages 1257-1277.
    12. Colin Thirtle & Jenifer Piesse & David Schimmelpfennig, 2008. "Modeling the length and shape of the R&D lag: an application to UK agricultural productivity," Agricultural Economics, International Association of Agricultural Economists, vol. 39(1), pages 73-85, July.
    13. Pierre-Benoit Joly & Laurence Colinet & Ariane Gaunand & Stéphane Lemarié & Mireille Matt, 2016. "Agricultural research impact assessment: Issues, methods and challenges," OECD Food, Agriculture and Fisheries Papers 98, OECD Publishing.
    14. Pierre Benoit Joly & Laurence Colinet & Ariane Gaunand & Stephane Lemarié & Mireille Matt, 2016. "Agricultural research impact assessment: issues, methods and challenges," Working Papers hal-01431457, HAL.
    15. Alene, Arega D. & Coulibaly, Ousmane, 2009. "The impact of agricultural research on productivity and poverty in sub-Saharan Africa," Food Policy, Elsevier, vol. 34(2), pages 198-209, April.
    16. Douthwaite, Boru & Kuby, Thomas & van de Fliert, Elske & Schulz, Steffen, 2003. "Impact pathway evaluation: an approach for achieving and attributing impact in complex systems," Agricultural Systems, Elsevier, vol. 78(2), pages 243-265, November.
    17. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    18. Ben R Martin, 2011. "The Research Excellence Framework and the ‘impact agenda’: are we creating a Frankenstein monster?," Research Evaluation, Oxford University Press, vol. 20(3), pages 247-254, September.
    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. K. Nirmal Ravi Kumar & Srinivasa Konduru & P. Chandrasekhara & Suresh Chandra Babu, 2021. "Restructuring State Intervention Strategies towards Chickpea Production Development in India—Application of Structural Equation Modeling (SEM)," Sustainability, MDPI, vol. 13(18), pages 1-22, September.

    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. Turner, James A & Guesmi, Bouali & Gil, José M. & Heanue, Kevin & Sierra, Miguel & Percy, Helen & Bortagaray, Isabel & Chams, Nour & Milne, Cath, 2022. "Evaluation capacity building in response to the agricultural research impact agenda: Emerging insights from Ireland, Catalonia (Spain), New Zealand, and Uruguay," Evaluation and Program Planning, Elsevier, vol. 94(C).
    2. repec:oup:apecpp:v:40:y:2018:i:3:p:421-444. is not listed on IDEAS
    3. Zuzana Smeets Kristkova & Michiel van Dijk & Hans van Meijl, 2015. "Long-term projections of global food security with R&D-driven technological progress," EcoMod2015 8601, EcoMod.
    4. Arega D. Alene, 2010. "Productivity growth and the effects of R&D in African agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 41(3‐4), pages 223-238, May.
    5. Peter Midmore, 2017. "The Science of Impact and the Impact of Agricultural Science," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 611-631, September.
    6. Pierre Benoit Joly & Laurence Colinet & Ariane Gaunand & Stephane Lemarié & Mireille Matt, 2016. "Agricultural research impact assessment: issues, methods and challenges," Working Papers hal-01431457, HAL.
    7. Smale, Melinda & Kergna, Alpha O. & Assima, Amidou & Weltzien, Eva & Rattunde, Fred, 2014. "An Overview and Economic Assessment of Sorghum Improvement in Mali," Food Security International Development Working Papers 198186, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    8. Stéphane Lemarié & Valérie Orozco & Jean-Pierre Butault & Antonio Musolesi & Michel Simioni & Bertrand Schmitt, 2020. "Assessing the long-term impact of agricultural research on productivity: evidence from France," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(4), pages 1559-1586.
    9. Matt, M. & Colinet, L. & Gaunand, A. & Joly, P.B., 2015. "A typology of impact pathways generated by a public agricultural research organization," Working Papers 2015-03, Grenoble Applied Economics Laboratory (GAEL).
    10. Bervejillo, Jose E. & Alston, Julian M. & Tumber, Kabir P., 2012. "The benefits from public agricultural research in Uruguay," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-23, December.
    11. Esposti, Roberto, 2012. "Knowledge, Technology and Innovations for a Bio-based Economy: Lessons from the Past, Challenges for the Future," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(3), pages 1-34, December.
    12. Irwin Feller, 2022. "Assessing the societal impact of publicly funded research," The Journal of Technology Transfer, Springer, vol. 47(3), pages 632-650, June.
    13. Markow, Jekaterina & Fieldsend, Andrew F. & Münchhausen, Susanne von & Häring, Anna Maria, 2023. "Building agricultural innovation capacity from the bottom up: Using spillover effects from projects to strengthen agricultural innovation systems," Agricultural Systems, Elsevier, vol. 209(C).
    14. Joly, P.B. & Gaunand, A. & Colinet, L. & Larédo, P. & Lemarié, S. & Matt, M., 2015. "ASIRPA: a comprehensive theory-based approach to assessing the societal impacts of a research organization," Working Papers 2015-04, Grenoble Applied Economics Laboratory (GAEL).
    15. Viaggi, Davide, 2015. "Research and innovation in agriculture: beyond productivity?," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 4(3), pages 1-22, December.
    16. Genowefa Blundo-Canto & Bernard Triomphe & Guy Faure & Danielle Barret & Aurelle de Romemont & Etienne Hainzelin, 2019. "Building a culture of impact in an international agricultural research organization: Process and reflective learning," Research Evaluation, Oxford University Press, vol. 28(2), pages 136-144.
    17. Yalew, Amsalu W. & Hirte, Georg & Lotze-Campen, Hermann & Tscharaktschiew, Stefan, 2017. "General equilibrium effects of public adaptation in agriculture in LDCs: Evidence from Ethiopia," CEPIE Working Papers 11/17, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    18. Andersen, Matthew A., 2019. "Knowledge productivity and the returns to agricultural research: a review," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(2), April.
    19. Rossi, Paula & Kagatsume, Masaru, 2010. "Economic Impact of Japan's Food and Agricultural FDI on Worldwide Recipient Countries," Conference papers 332018, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    20. Midmore, Peter, 2017. "The Science of Impact and the Impact of Agricultural Science," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258614, Agricultural Economics Society.
    21. Makki, Shiva S. & Thraen, Cameron S. & Tweeten, Luther G., 1999. "Returns to American Agricultural Research: Results from a Cointegration Model," Journal of Policy Modeling, Elsevier, vol. 21(2), pages 185-211, March.

    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:qualqt:v:53:y:2019:i:4:d:10.1007_s11135-019-00855-z. 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.