What Indicators Are Shaping China’s National World-Class High-Tech Zones? Constructing a Feature Indicator System Based on Machine Learning
Source abstract
Abstract
China’s high-tech parks have significant effects on driving national ecological innovation. Among them, ten world-class high-tech parks represent the highest level of development in China’s high-tech industry. Understanding the development characteristics of national world-class high-tech parks is of great significance for guiding the construction of other parks and achieving the high-quality development of parks. Based on the evaluation data of over 200 indicators of national high-tech parks from 2013 to 2017, this study used the XGBoost classic machine learning algorithm to select the characteristic indicators of national world-class high-tech parks and establish an evaluation indicator system, and it identified four primary indicators of the world-class high-tech parks, including innovation development, enterprise development, international development, and economic development. The indicators cover 30 important sub-indicators and highlight the importance of innovation resource input indicators, such as “use of technology activity funding from government departments”, “full-time equivalent of R&D personnel”, and “financial technology expenditure in high-tech parks”. Compared to the expert analysis, the application of the machine learning method in the evaluation of national high-tech parks improves the efficiency of selecting important indicators and makes the selection results more objective. The results of this research provide a reference value for guiding and promoting national high-tech parks to become world-class parks.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Energy, Environment, Economic Growth · Economic and Technological Innovation · Innovation Policy and R&D
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
The College of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China
Department of Information Systems, Han Yang University, Seoul 02581, Republic of Korea
National Science Library, Chinese Academy of Sciences, Beijing 100190, China
Funding
National Natural Science Foundation of China · National Key Research and Development Program of China · Funds for world-class Discipline Construction · National Research Foundation of Korea (NRF) · Korean government (MSIT)
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