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The effects of the economic crisis on public research: Spanish budgetary policies and research organizations

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  • Cruz-Castro, Laura
  • Sanz-Menéndez, Luis

Abstract

The economic crisis of recent years provides an extremely valuable context for the study of the effective role which R&D policies have had for governments, both as a potential tool for exiting from the crisis and as an object of fiscal consolidation. The discourse of governments and international organizations often connect actions to cope with the crisis with reforms and changes in many areas, such as R&D. However, in practice overarching fiscal consolidation policies could be damaging opportunities to establish government strategies to reform and improve the efficiency of the sector.

Suggested Citation

  • Cruz-Castro, Laura & Sanz-Menéndez, Luis, 2016. "The effects of the economic crisis on public research: Spanish budgetary policies and research organizations," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 157-167.
  • Handle: RePEc:eee:tefoso:v:113:y:2016:i:pb:p:157-167
    DOI: 10.1016/j.techfore.2015.08.001
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    2. Armand, Alex & Mendi, Pedro, 2018. "Demand drops and innovation investments: Evidence from the Great Recession in Spain," Research Policy, Elsevier, vol. 47(7), pages 1321-1333.
    3. Garcia Martinez, Marian & Zouaghi, Ferdaous & Garcia Marco, Teresa & Robinson, Catherine, 2019. "What drives business failure? Exploring the role of internal and external knowledge capabilities during the global financial crisis," Journal of Business Research, Elsevier, vol. 98(C), pages 441-449.
    4. Ziesemer, Thomas, 2019. "The impact of mission-oriented R&D on domestic and foreign private and public R&D, total factor productivity and GDP," MERIT Working Papers 2019-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Ziesemer, Thomas, 2019. "Japan's productivity and GDP growth: The role of GBAORD, public and foreign R&D," MERIT Working Papers 2019-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Fernandez Martinez, Roberto & Lostado Lorza, Ruben & Santos Delgado, Ana Alexandra & Piedra, Nelson, 2021. "Use of classification trees and rule-based models to optimize the funding assignment to research projects: A case study of UTPL," Journal of Informetrics, Elsevier, vol. 15(1).
    7. Ziesemer, Thomas, 2022. "Mission-oriented R&D and growth of Japan 1988-2016," MERIT Working Papers 2022-034, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Azagra-Caro, Joaquín M. & Tijssen, Robert J.W. & Tur, Elena M. & Yegros-Yegros, Alfredo, 2019. "University-industry scientific production and the Great Recession," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 210-220.
    9. Iman Miremadi & Yadollah Saboohi, 2018. "Planning for Investment in Energy Innovation: Developing an Analytical Tool to Explore the Impact of Knowledge Flow," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 7-19.
    10. Mario Coccia, 2019. "Metabolism of Public Research Organizations: How Do Laboratories Consume State Subsidies?," Public Organization Review, Springer, vol. 19(4), pages 473-491, December.
    11. Gómez-Aguayo, Ana María & Azagra-Caro, Joaquín M. & Benito-Amat, Carlos, 2022. "The steady effect of knowledge co-creation with universities on business scientific impact throughout the economic cycle," INGENIO (CSIC-UPV) Working Paper Series 202202, INGENIO (CSIC-UPV), revised 11 Jul 2022.
    12. Mario Coccia, 2018. "How do public research labs use funding for research? A case study," Papers 1805.11932, arXiv.org.
    13. Horváth, Krisztina & Berbegal-Mirabent, Jasmina, 2022. "The role of universities on the consolidation of knowledge-based sectors: A spatial econometric analysis of KIBS formation rates in Spanish regions," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    14. Calabrese, Armando & Capece, Guendalina & Costa, Roberta & Di Pillo, Francesca & Giuffrida, Stefania, 2018. "A ‘power law’ based method to reduce size-related bias in indicators of knowledge performance: An application to university research assessment," Journal of Informetrics, Elsevier, vol. 12(4), pages 1263-1281.

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