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Different Impacts of Scientific and Technological Knowledge on Economic Growth: Contrasting Science and Technology Policy in East Asia and Latin America

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  • Yee Kyoung Kim
  • Keun Lee

Abstract

type="main"> This paper conducts country-panel econometric analysis with a focus on the different roles of scientific and technological knowledge on economic growth and on the knowledge production functions. It finds that it is not scientific knowledge (academic articles) but technological knowledge (patents) that matters for economic growth, and that generating scientific knowledge does not automatically lead to the generation of technological knowledge. We find that technological knowledge is primarily determined by corporate research and development efforts, which used to be more lacking in Latin American countries, compared with East Asia. This finding sheds new light on the question of why Latin American and East Asian countries have shown such divergent economic performances.

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  • Yee Kyoung Kim & Keun Lee, 2015. "Different Impacts of Scientific and Technological Knowledge on Economic Growth: Contrasting Science and Technology Policy in East Asia and Latin America," Asian Economic Policy Review, Japan Center for Economic Research, vol. 10(1), pages 43-66, January.
    • Handle: RePEc:bla:asiapr:v:10:y:2015:i:1:p:43-66
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    Cited by:

    1. Candelaria Barrios & Esther Flores & M. Ángeles Martínez & Marta Ruiz-Martínez, 2023. "Are the Major Knowledge-producing Countries Converging in Science and Technology Capabilities?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4534-4560, December.
    2. Keun Lee & Marina Szapiro & Zhuqing Mao, 2018. "From Global Value Chains (GVC) to Innovation Systems for Local Value Chains and Knowledge Creation," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(3), pages 424-441, July.
    3. Agnieszka Kleszcz & Krzysztof Rusek, 2022. "Has EU accession boosted patents performance in the EU-13? -- A critical evaluation using causal impact analysis with Bayesian structural time-series models," Papers 2201.09878, arXiv.org.
    4. Takatoshi Ito & Kazumasa Iwata & Colin McKenzie & Shujiro Urata, 2015. "Innovation in East Asia: Editors' Overview," Asian Economic Policy Review, Japan Center for Economic Research, vol. 10(1), pages 1-18, January.
    5. Agnieszka Kleszcz & Krzysztof Rusek, 2022. "Has EU Accession Boosted Patent Performance in the EU-13? A Critical Evaluation Using Causal Impact Analysis with Bayesian Structural Time-Series Models," Forecasting, MDPI, vol. 4(4), pages 1-16, October.
    6. Kazuyuki Motohashi, 2015. "Comment on “Different Impacts of Scientific and Technological Knowledge on Economic Growth: Contrasting Science and Technology Policy in East Asia and Latin America”," Asian Economic Policy Review, Japan Center for Economic Research, vol. 10(1), pages 67-68, January.
    7. Julius Tan Gonzales, 2023. "Implications of AI innovation on economic growth: a panel data study," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-37, December.
    8. Muhammad Khalid Anser & Munir Ahmad & Muhammad Azhar Khan & Abdelmohsen A. Nassani & Mohamed Haffar & Khalid Zaman, 2024. "The “IMPACT” of Web of Science Coverage and Scientific and Technical Journal Articles on the World’s Income: Scientific Informatics and the Knowledge-Driven Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3147-3173, March.
    9. Yoon, Hyungseok (David) & Kim, Namil & Buisson, Bernard & Phillips, Fred, 2018. "A cross-national study of knowledge, government intervention, and innovative nascent entrepreneurship," Journal of Business Research, Elsevier, vol. 84(C), pages 243-252.
    10. Barletta, Florencia & Yoguel, Gabriel & Pereira, Mariano & Rodríguez, Sergio, 2017. "Exploring scientific productivity and transfer activities: Evidence from Argentinean ICT research groups," Research Policy, Elsevier, vol. 46(8), pages 1361-1369.
    11. Lee, Keun & Lee, Jongho & Lee, Juneyoung, 2021. "Variety of national innovation systems (NIS) and alternative pathways to growth beyond the middle-income stage: Balanced, imbalanced, catching-up, and trapped NIS," World Development, Elsevier, vol. 144(C).
    12. Timur Gareev & Irina Peker, 2023. "Quantity versus quality in publication activity: knowledge production at the regional level," Papers 2311.08830, arXiv.org.
    13. Estevão, João & Lopes, José Dias & Penela, Daniela, 2023. "SDG9 and the competitiveness: Employing mixed methods to understand how countries can use science to compete," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    14. Pablo Jack & Jeremias Lachman & Andrés López, 2021. "Scientific knowledge production and economic catching-up: an empirical analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4565-4587, June.
    15. Zicheng Ma & Liang Wang & Xin Zheng & Jianqi Zhang, 2022. "National Innovation Systems and Global Value Chain Participation: The Role of Entrepreneurship," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(2), pages 897-920, April.

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