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Technological catching-up in machine tools in India: Lessons from the East Asian experience for make in India

Padma Suresh Mandala

Perspectives of Innovations, Economics & Business2018https://doi.org/10.15208/pieb.2018.8article
ABDC C
Weight
0.34

What the paper says

<p>This study uses an innovation systems approach to identify constraints in technology diffusion in machine tools in India. Until early 1980s, government was a significant producer of conventional machine tools. But, with adoption of Computer Numeric Control (CNC) machine tool technology from early 1980s, the innovation system for CNC machine tools shows considerable changes. A review of successful catching-up in East Asian countries helps to identify distinctive features of industrial, technological and institutional structures that supported technology diffusion in these countries. The innovation systems framework shows that while the main actors and institutions are present, their roles are constrained by weak links. Strengthening interconnections in the innovation system requires policy initiatives that will eliminate regulatory and infrastructural constraints, foster supplier networks, build producer-user interface, strengthen industry-academia links and promote spatial cluster dynamics. Such policy measures can also contribute to growth of manufacturing sector and ensure success of the Make in India program. </p>

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https://doi.org/https://doi.org/10.15208/pieb.2018.8

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@article{padma2018,
  title        = {{Technological catching-up in machine tools in India: Lessons from the East Asian experience for make in India}},
  author       = {Padma Suresh Mandala},
  journal      = {Perspectives of Innovations, Economics & Business},
  year         = {2018},
  doi          = {https://doi.org/https://doi.org/10.15208/pieb.2018.8},
}

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Evidence weight

0.34

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

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.80 × 0.15 = 0.12
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.