The growth effects of knowledge-based technological change on Taiwan’s industry: A comparison of R&D and education level

Lan-Hsun Wang, Shu-Yi Liao and Mao-Lung Huang

Economic Analysis and Policy, 2022, vol. 73, issue C, 525-545

Abstract: This paper employs data envelopment analysis (DEA) and the Malmquist index (MI) to investigate the growth effects of knowledge-based technological change and technological efficiency change on the output of the industrial sector in Taiwan. The results reveal two main findings: First, due to the lack of knowledge-based scale efficiency, there is no improvement in knowledge-based technological efficiency during the period from 1997 to 2019. Although both the direction of the change in R&D expenditure per researcher and that in education spending time per worker can explain the knowledge-based technological efficiency change, the long-term average of the growth rate of technical efficiency change is negative; thus, the positive coefficient of the technical efficiency change to output growth still makes a negative contribution to the output growth. In other words, if the scale efficiency can be improved, the contribution of knowledge-based technological efficiency change to output growth can be reversed.

Keywords: knowledge-based technological change; DEA; Malmquist Index; Industrial growth; R&D (search for similar items in EconPapers)
JEL-codes: O3 O4 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:73:y:2022:i:c:p:525-545

DOI: 10.1016/j.eap.2021.12.009

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