Abstract
Promoting supply-side structural reform is the key to China’s economic transformation and upgrading. As disruptive innovation is affecting different sectors and areas of society, numerous high-tech development zones should fully release their vitality and realize unprecedented development while contributing to this reform. This study attempted to further analyze the Research and Development (R&D) efficiency of high-tech zones in the past mode, and shed light on a more advanced and effective development pattern in the near future. This paper used Data Envelopment Analysis (DEA) model, which is a linear programming method to measure the efficiency between multiple decision-making units, and categorized three decisive factors to reach solid conclusions [1]. Our statistical results indicated that the low R&D efficiency is ubiquity among high-tech industries, and there is not yet a strong platform for advanced R&D activities. Lastly, this paper suggested strategies to maintain the sustainable development of the high-tech industry under the supply-side reform.
Highlights
From a global point of view, the high-tech development zones in many developed countries have achieved from external-cause motivation to inner mobility
The Silicon Valley was benefited from the democratization movement among various campuses in the United States campus [2], while the Sophia Antipolis Indianapolis park resulted from the famous French "decentralization" movement [3]
This paper will use the Data Envelopment Analysis (DEA) model to discuss the efficiency of science and technology innovation in these high-tech zones, along with three decisive factors
Summary
From a global point of view, the high-tech development zones in many developed countries have achieved from external-cause motivation to inner mobility. The Silicon Valley in the United States, and the Sophia Antipolis Indianapolis park in France are the two brilliant examples, representing the advanced nature of high-tech zones. The Silicon Valley was benefited from the democratization movement among various campuses in the United States campus [2], while the Sophia Antipolis Indianapolis park resulted from the famous French "decentralization" movement [3]. This paper will use the DEA model to discuss the efficiency of science and technology innovation in these high-tech zones, along with three decisive factors. Through this statistical model, any high-tech zones that are of similar development stage and paradigm can be directly comparable based on observations and historical data. This study aims to provide a general guide to help hightech zones to integrate available resources and to attain maximum efficiency
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