Innovation and Productivity in the Malaysian Food Processing Industry: An Empirical Analysis using a System Generalised Method of Moments Approach
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Keywords

Food industry, Innovation, Manufacturing, Panel data, SYS-GMM.

How to Cite

Kamal, S. N. M. . ., Ismail, N. W. ., & Sidique, S. F. A. . (2022). Innovation and Productivity in the Malaysian Food Processing Industry: An Empirical Analysis using a System Generalised Method of Moments Approach. Asian Journal of Empirical Research, 12(2), 54–61. https://doi.org/10.55493/5004.v12i2.4453

Abstract

The food processing industry was reviewed as a top priority for industrial development and targeted to lead greater growth in Malaysia’s Industrial Masterplan (NIMP). Leading to industrial development, this paper highlighted the relationship between innovative activities (R&D expenditure and ICT expenditure) and productivity with other variables like the presence of skill intensity, capital intensity, export intensity, foreign-owned firms and imported intermediate input. This hypothesis is examined for a panel dataset of the food processing industry in Malaysia from 2000 until 2015 (according to Economic Census- Manufacturing). Using a System Generalised Method of Moments (GMM) approach, empirical analysis suggests that innovators performed better than non-innovators in terms of labour productivity. Innovative activity and ICT expenditure along with skilled intensity and capital intensity seem to be the main determinants of subsector’s productivity, whereas R&D expenditure has mixed results from the estimation output.

https://doi.org/10.55493/5004.v12i2.4453
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