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Econometric Modelling of the Impact of Metrology on the Economy in Poland

Author

Listed:
  • Doszyń Mariusz

    (University of Szczecin)

  • Batóg Barbara

    (University of Szczecin)

  • Majda Paweł

    (West Pomeranian University of Technology in Szczecin)

  • Pajor Mirosław

    (West Pomeranian University of Technology in Szczecin)

  • Rozkrut Dominik

    (University of Szczecin)

  • Rozkrut Monika

    (University of Szczecin)

  • Tarczyńska-Łuniewska Małgorzata

    (University of Szczecin)

Abstract

Research background Studying the impact of metrology on the economy is a complicated matter. This is due to the specific nature of both metrology and the economy. There is no established method for determining the impact of metrology on the economy. PurposeThe paper attempts to build an econometric model to determine the impact of metrological activity on the economy of Poland. Research methodology In the first part of the study, a proxy variable measuring metrological activity was proposed. Then a multiple-equation nonlinear econometric model was built. This is a dynamic model, estimated by the 2SLS method. Results Based on simulations, the impact of metrological activity on variables such as GDP and R&D spending was determined. The results of simulations using the obtained model show that the average annual share of metrology in global labor productivity in Poland from 2002 to 2020 was at 9.4%. As regards the second variable (the share of R&D spending in GDP), the average annual share of metrology is 7.4%. Novelty In the paper an econometric estimation of metrology impact on the economy based on a multiple-equation nonlinear econometric model was proposed.

Suggested Citation

  • Doszyń Mariusz & Batóg Barbara & Majda Paweł & Pajor Mirosław & Rozkrut Dominik & Rozkrut Monika & Tarczyńska-Łuniewska Małgorzata, 2025. "Econometric Modelling of the Impact of Metrology on the Economy in Poland," Folia Oeconomica Stetinensia, Sciendo, vol. 25(1), pages 95-113.
    • Handle: RePEc:vrs:foeste:v:25:y:2025:i:1:p:95-113:n:1005
    DOI: 10.2478/foli-2025-0005
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    References listed on IDEAS

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    1. Temple, Paul & Williams, Geoffrey, 2002. "Infra-technology and economic performance: evidence from the United Kingdom measurement infrastructure," Information Economics and Policy, Elsevier, vol. 14(4), pages 435-452, December.
    2. Albert N. Link & Rashedur Rahman Sardar, 2023. "R&D and regional competitiveness: a study of global entrepreneurial firms," International Entrepreneurship and Management Journal, Springer, vol. 19(1), pages 369-378, March.
    3. Mansfield, Edwin, 1992. "Academic research and industrial innovation: A further note," Research Policy, Elsevier, vol. 21(3), pages 295-296, June.
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    More about this item

    Keywords

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    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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