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Mutual Granger “causality” between scientific instruments and scientific publications

Author

Listed:
  • Chunjuan Luan

    (Dalian University of Technology)

  • Siming Deng

    (Dalian University of Technology)

  • John R. Allison

    (University Texas Austin)

Abstract

In this paper, we aim at examining whether there is a two-way interactive effect between scientific instruments (si) and scientific publications (sp) by employing the Granger Causality Test. As scientists explore the world, and indeed the universe, more and more deeply, new demands are constantly made for innovations in scientific instruments. More advanced scientific instruments, in turn, promote greater advances in the underlying science. Although the relationship between developments in scientific instruments and advances in science is intuitive, it has not been estimated statistically. Gaining a better empirical understanding of this relationship is, therefore, important to the science of science. Previous studies have not revealed whether there is a measurable interactive effect between them. To fill this gap in the research, we collected 42 years of data on the number of global scientific instrument patents and 42 years of data on the number of scientific research papers, both during the period 1980–2021. We take the logs of these counts (lnsi and lnsp) and perform time-series analyses of the two data sets. The Granger Causality Test is then employed to ascertain whether there exists an observable mutual association between the two time-series. The Granger Causality Test reveals, with a very high degree of confidence, a mutual predictive relationship between them. Stated differently, each time-series appears to “forecast” the other, with different time lags. A number of the Granger Causality Tests based on the characteristics of si/ sp disclose that the interaction between si and sp also applies to the mutual effect between the characteristics of si and sp, with different lag lengths.

Suggested Citation

  • Chunjuan Luan & Siming Deng & John R. Allison, 2022. "Mutual Granger “causality” between scientific instruments and scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6209-6229, November.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:11:d:10.1007_s11192-022-04516-1
    DOI: 10.1007/s11192-022-04516-1
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    References listed on IDEAS

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    1. Leamer, Edward E., 1985. "Vector autoregressions for causal inference?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 22(1), pages 255-304, January.
    2. Robert Engle & Clive Granger, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Apergis, Nicholas & Payne, James E., 2009. "Energy consumption and economic growth in Central America: Evidence from a panel cointegration and error correction model," Energy Economics, Elsevier, vol. 31(2), pages 211-216.
    4. Yann Ménière & Antoine Dechezleprêtre & Matthieu Glachant & Ivan Hascic & N. Johnstone, 2011. "Invention and transfer of climate change mitigation technologies: a study drawing on patent data," Post-Print hal-00869795, HAL.
    5. Antoine Dechezleprêtre & Matthieu Glachant & Ivan Haščič & Nick Johnstone & Yann Ménière, 2011. "Invention and Transfer of Climate Change--Mitigation Technologies: A Global Analysis," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 109-130, Winter.
    6. Yan Li & Haiyan Zhang & Yihui Liu & Qingbo Huang, 2020. "Impact of Embedded Global Value Chain on Technical Complexity of Industry Export—An Empirical Study Based on China’s Equipment Manufacturing Industry Panel," Sustainability, MDPI, vol. 12(7), pages 1-14, March.
    7. Benedict Probst & Simon Touboul & Matthieu Glachant & Antoine Dechezleprêtre, 2021. "Global Trends in the Innovation and Diffusion of Climate Change Mitigation Technologies," Working Papers hal-03190012, HAL.
    8. Granger, C. W. J. & Newbold, Paul, 1986. "Forecasting Economic Time Series," Elsevier Monographs, Elsevier, edition 2, number 9780122951831 edited by Shell, Karl.
    9. Granger, C. W. J., 1980. "Testing for causality : A personal viewpoint," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 329-352, May.
    10. James D. Adams & J. Roger Clemmons, 2013. "How Rapidly Does Science Leak Out? A Study of the Diffusion of Fundamental Ideas," Journal of Human Capital, University of Chicago Press, vol. 7(3), pages 191-229.
    11. Apergis, Nicholas & Payne, James E., 2012. "Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model," Energy Economics, Elsevier, vol. 34(3), pages 733-738.
    12. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    13. Benedict Probst & Simon Touboul & Matthieu Glachant & Antoine Dechezleprêtre, 2021. "Global trends in the invention and diffusion of climate change mitigation technologies," Nature Energy, Nature, vol. 6(11), pages 1077-1086, November.
    14. Philip Ball, 2015. "Scientific instrumentation: The aided eye," Nature, Nature, vol. 520(7546), pages 156-156, April.
    15. Konya, Laszlo, 2006. "Exports and growth: Granger causality analysis on OECD countries with a panel data approach," Economic Modelling, Elsevier, vol. 23(6), pages 978-992, December.
    16. Antoine Dechezleprêtre & Matthieu Glachant & Ivan Haščič & Nick Johnstone & Yann Ménière, 2011. "Invention and Transfer of Climate Change--Mitigation Technologies: A Global Analysis," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 109-130, Winter.
    17. Naomi Fukuzawa & Takanori Ida, 2016. "Science linkages between scientific articles and patents for leading scientists in the life and medical sciences field: the case of Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 629-644, February.
    18. Riggs, William & von Hippel, Eric, 1994. "Incentives to innovate and the sources of innovation: the case of scientific instruments," Research Policy, Elsevier, vol. 23(4), pages 459-469, July.
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