Impact of innovation on productivity growth of SMEs in a factor-driven economy

Jan Vang Brambini Pedersen et al.

International Journal of Entrepreneurship and Small Business2026https://doi.org/10.1504/ijesb.2026.150966article
AJG 2
Weight
0.50

What the paper says

This study explores the relationship between various types of innovation and productivity growth in small and medium-sized enterprises (SMEs) within Vietnam, a factor-driven economy. Utilising a longitudinal dataset from three surveys of 3,550 Vietnamese manufacturing SMEs, the study employs regression analysis to account for dual causality between innovation and factor productivity growth. The results reveal that process innovation leads to greater productivity gains compared to product modification and product innovation strategies. The findings underscore the importance of process innovation in enhancing productivity in factor-driven economies, where firms primarily exploit unskilled labour and natural resources. The study also highlights the need for policymakers to tailor innovation support strategies to the unique contexts of factor-driven economies, emphasising process innovations that leverage existing factor endowments. The research contributes to the limited literature on innovation in the lowest stages of economic development and provides practical insights for promoting sustainable economic growth in developing countries.

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https://doi.org/https://doi.org/10.1504/ijesb.2026.150966

Or copy a formatted citation

@article{jan2026,
  title        = {{Impact of innovation on productivity growth of SMEs in a factor-driven economy}},
  author       = {Jan Vang Brambini Pedersen et al.},
  journal      = {International Journal of Entrepreneurship and Small Business},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijesb.2026.150966},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.