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On Diffusion of Ideas in the Academic World: the Case of Spatial Econometrics

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  • Nikias Sarafoglou
  • Jean H.P. Paelinck

Abstract

Spatial econometrics is a fast-growing field in the series of quantitative disciplines, auxiliaries of economics and related social sciences. Space, friction, interdependence, spatiotemporal components, externalities and many other aspects interact and should be treated adequately in this field. The publication of the Paelinck and Klaassen book in the late 1970s generated virtually the field spatial econometrics This article studies the diffusion of spatial econometrics, through experienced history on the one hand, on the other through bibliometric methods. Although this field was an “Invisible College” up to 2006 (absence of any organization in form of association, conference, journal, etc.), the databases depict a fast diffusion in the past and strong prospects for the future.

Suggested Citation

  • Nikias Sarafoglou & Jean H.P. Paelinck, 2007. "On Diffusion of Ideas in the Academic World: the Case of Spatial Econometrics," Department of Economics University of Siena 514, Department of Economics, University of Siena.
    • Handle: RePEc:usi:wpaper:514
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    1. Haynes, Kingsley E. & Mahajan, Vijay & White, Gerald M., 1977. "Innovation diffusion: A deterministic model of space-time integration with physical analog," Socio-Economic Planning Sciences, Elsevier, vol. 11(1), pages 25-29.
    2. Daniel Griffith & Jean Paelinck, 2007. "An equation by any other name is still the same: on spatial econometrics and spatial statistics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(1), pages 209-227, March.
    3. Finn Førsund & Nikias Sarafoglou, 2002. "On the Origins of Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 23-40, January.
    4. Forsund, Finn R. & Sarafoglou, Nikias, 2005. "The tale of two research communities: The diffusion of research on productive efficiency," International Journal of Production Economics, Elsevier, vol. 98(1), pages 17-40, October.
    5. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    6. Paelinck, J., 1978. "Spatial econometrics," Economics Letters, Elsevier, vol. 1(1), pages 59-63.
    7. Hodgson, Geoffrey M & Rothman, Harry, 1999. "The Editors and Authors of Economics Journals: A Case of Institutional Oligopoly?," Economic Journal, Royal Economic Society, vol. 109(453), pages 165-186, February.
    8. Nikias Sarafoglou & Kingsley E. Haynes, 1996. "University productivity in Sweden: a demonstration and explanatory analysis for economics and business programs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 30(3), pages 285-304.
    9. Anselin, Luc & Hudak, Sheri, 1992. "Spatial econometrics in practice : A review of software options," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 509-536, September.
    10. Johan F. Kaashoek & Jean H. P. Paelinck, 2001. "Potentialised partial differential equations in spatial economics: Some further results on the potentialising function," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 35(3), pages 463-482.
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    Cited by:

    1. Mike Danilovic & Marleen Hensbergen & Maya Hoveskog & Liudmila Zadayannaya, 2015. "Exploring Diffusion and Dynamics of Corporate Social Responsibility," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 22(3), pages 129-141, May.
    2. Candelon, Bertrand & Joëts, Marc & Mignon, Valérie, 2024. "What makes econometric ideas popular: The role of connectivity," Research Policy, Elsevier, vol. 53(7).
    3. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    4. Zhenhua Chen & Laurie A. Schintler, 2023. "Rediscovering regional science: Positioning the field's evolving location in science and society," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 617-642, June.
    5. Liliana Arroyo Moliner & Eva Gallardo-Gallardo & Pedro Gallo de Puelles, 2017. "Understanding scientific communities: a social network approach to collaborations in Talent Management research," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1439-1462, December.
    6. repec:rre:publsh:v:40:y:2010:i:2:p:227-35 is not listed on IDEAS
    7. Mao, Jin & Liang, Zhentao & Cao, Yujie & Li, Gang, 2020. "Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes," Journal of Informetrics, Elsevier, vol. 14(4).

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    More about this item

    JEL classification:

    • B2 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925
    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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