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Abstract

Using data from a 13-year period panel, this study analyzes the interaction of Taiwan’s technology investment and industrial development, through the training and extraction of a multi-layered, feed-forward neural network. The simulation experiments provide a reference behavior pattern for China, while accounting for its culture-specific context. Also analyzed are the potential effects of technology investment on the GDP and employment rates of China’s primary and tertiary industries. The simulation results show that the basic-research budget percentage could positively affect China’s tertiary industry, yet increasing both the basic-research budget percentage and the research and development (R&D) personnel could decidedly increase the GDP rate of China’s primary industry. Following the study’s limitations, explored are its potential implications for policymaking and future research.

Keywords

Economic environment technology investment industrial development Taiwan

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Technology investment and industrial development: A neural-network simulation

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