IDEAS home Printed from https://ideas.repec.org/a/rnp/ecopol/ep1810.html
   My bibliography  Save this article

Formation of the Railway Network: Diffusion of Epochal Innovation and Economic Growth
[Формирование Железнодорожной Сети: Диффузия Эпохальной Инновации И Экономический Рост]

Author

Listed:
  • Macheret, Dmitry A. (Мачерет, Дмитрий А.)

    (Russian University of Transport (MIIT))

  • Valeev, Nadir A. (Валеев, Надир А.)

    (Joint Stock Company Railway Research Institute (JSC “VNIIZhT”))

  • Kudryavtseva, Anastasiya V. (Кудрявцева, Анастасия В.)

    (Joint Stock Company Railway Research Institute (JSC “VNIIZhT”))

Abstract

The article considers, based on the example of the formation of the world railway network, the process of appearance and diffusion of epochal innovation in interrelation with economic growth. The influence of the previous level of economic and institutional development on the time of the appearance of railways in each country and the dynamics of subsequent development of the railway network has been revealed. It is shown that the institutional conditions that have developed in the UK, which ensure technological creativity of society, individual freedom and entrepreneurial activity, predetermined the country’s leadership in the first half of the 19th century, both in the appearance of railways and further development of the railway network, and in industrial development in general. As a higher level of economic development and quality of institutions in the country contributes to a more dynamic diffusion of innovations, the gap in the level of economic development between the more developed and less developed countries is widening. Overcoming this gap and implementing the strategy of “catch-up” development are possible only through fundamental institutional changes. Cardinal acceleration of economic growth can be achieved only on the basis of a synergy of institutional and innovative development. Given the major role of transport, which is the material basis of global commodity exchange, in the modern economy, economic growth can be successfully stimulated through a synergy of quality institutions and transport innovations.

Suggested Citation

  • Macheret, Dmitry A. (Мачерет, Дмитрий А.) & Valeev, Nadir A. (Валеев, Надир А.) & Kudryavtseva, Anastasiya V. (Кудрявцева, Анастасия В.), 2018. "Formation of the Railway Network: Diffusion of Epochal Innovation and Economic Growth [Формирование Железнодорожной Сети: Диффузия Эпохальной Инновации И Экономический Рост]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 252-279, February.
  • Handle: RePEc:rnp:ecopol:ep1810
    as

    Download full text from publisher

    File URL: https://repec.ranepa.ru/rnp/ecopol/ep1810.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Juárez, Sol P. & Hjern, Anders, 2017. "The weight of inequalities: Duration of residence and offspring's birthweight among migrant mothers in Sweden," Social Science & Medicine, Elsevier, vol. 175(C), pages 81-90.
    2. Benoît Walraevens, 2012. "A la recherche du spectateur impartial perdu," Post-Print halshs-00756338, HAL.
    3. Tian, Peng & Qin, Hourong, 2018. "Non-vanishing Fourier coefficients of Δk," Applied Mathematics and Computation, Elsevier, vol. 339(C), pages 507-515.
    4. Bun, Maurice J.G. & Windmeijer, Frank, 2011. "A comparison of bias approximations for the two-stage least squares (2SLS) estimator," Economics Letters, Elsevier, vol. 113(1), pages 76-79, October.
    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. McDonough, Ian K. & Millimet, Daniel L., 2017. "Missing data, imputation, and endogeneity," Journal of Econometrics, Elsevier, vol. 199(2), pages 141-155.
    2. Guy Tchuente, 2021. "A Note on the Topology of the First Stage of 2SLS with Many Instruments," Papers 2106.15003, arXiv.org.
    3. Akaev, Askar (Акаев, Аскар) & Rudskoy, Andrey (Рудской, Андрей), 2014. "The synergistic effect of NBIC-technologies and world economic growth in the first half of the XXI century [Синергетический Эффект Nbic-Технологий И Мировой Экономический Рост В Первой Половине Xxi," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 2, pages 25-46.
    4. Manuel Denzer & Constantin Weiser, 2021. "Beyond F-statistic - A General Approach for Assessing Weak Identification," Working Papers 2107, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    5. Nam-Hyun Kim & Winfried Pohlmeier, 2015. "A Regularization Approach to Biased Two-Stage Least Squares Estimation," Working Paper series 15-22, Rimini Centre for Economic Analysis.
    6. Arel-Bundock, Vincent, 2013. "A solution to the weak instrument bias in 2SLS estimation: Indirect inference with stochastic approximation," Economics Letters, Elsevier, vol. 120(3), pages 495-498.
    7. Millimet, Daniel L., 2015. "Covariate measurement and endogeneity," Economics Letters, Elsevier, vol. 136(C), pages 59-63.
    8. Chengete Chakamera & Paul Alagidede, 2018. "Electricity crisis and the effect of CO2 emissions on infrastructure-growth nexus in Sub Saharan Africa," Working Papers 731, Economic Research Southern Africa.
    9. Namhyun Kim & Winfried Pohlmeier, 2016. "A Note on the Regularized Approach to Biased 2SLS Estimation with Weak Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 915-924, December.
    10. Macheret, Dmitriy (Мачерет, Дмитрий), 2015. "The economy in the first five "mirror" of rail transport [Экономика Первых Пятилеток В «Зеркале» Железнодорожного Транспорта]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 87-112.
    11. Phillips, Garry David Alan & Wang, Dandan, 2019. "Bias assessment and reduction for the 2SLS estimator in general dynamic simultaneous equations models," DES - Working Papers. Statistics and Econometrics. WS 28322, Universidad Carlos III de Madrid. Departamento de Estadística.
    12. Phillips, Garry D.A. & Liu-Evans, Gareth, 2016. "Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 734-762.
    13. Yiqi Lin & Frank Windmeijer & Xinyuan Song & Qingliang Fan, 2022. "On the instrumental variable estimation with many weak and invalid instruments," Papers 2207.03035, arXiv.org, revised Dec 2023.

    More about this item

    Keywords

    exchange; railways; innovations; institutions; economic growth.;
    All these keywords.

    JEL classification:

    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • N - Economic History
    • N - Economic History
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R - Urban, Rural, Regional, Real Estate, and Transportation 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:rnp:ecopol:ep1810. 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: RANEPA maintainer (email available below). General contact details of provider: https://edirc.repec.org/data/aneeeru.html .

    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.