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Empirical Analysis of Economic Growth in Sichuan Province
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作者 Xungang Zheng Huaifeng Luo 《Chinese Business Review》 2005年第6期49-53,58,共6页
For a long time, the factors influencing a regional economic growth are mainly workforce, capital and scientific and technological progress. But with the further promotion of China's reform and opening-up and intensi... For a long time, the factors influencing a regional economic growth are mainly workforce, capital and scientific and technological progress. But with the further promotion of China's reform and opening-up and intensification of the further improvement degree, the main factors influencing a regional economic growth constantly change. This paper utilizes the relevant data of Sichuan to set up the econometric model and quantitatively studies the factors influencing economic growth of Sichuan. Through comparing the greatness that each factor influences the economic growth of Sichuan, the paper takes system changes as leading factor to influence the economic growth during 1984-2003 of Sichuan. At the same time, the upgrading of industrial structure will be a core of economic growth in the future, and the scientific and technological progress is the potential force of economic growth. 展开更多
关键词 economic growth system changes upgrading of industrial structure scientific and technological progress
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The scientific applications of big data in science of science
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作者 Yunwei Chen Qiuyang Chen Lingjing Cao 《Data Science and Informetrics》 2022年第3期37-48,共12页
The value of big data in science of science for knowledge discovery is that it can reveal deeper information and knowledge, promote knowledge integration in the whole process of scientific research, guide interdiscipl... The value of big data in science of science for knowledge discovery is that it can reveal deeper information and knowledge, promote knowledge integration in the whole process of scientific research, guide interdisciplinary integration, and provide new ideas and new methods for knowledge discovery research. This paper discusses the value and role of big data in science of science in knowledge discovery from five aspects, including exploring the laws of scientific research, revealing scientific structure, analyzing scientific research activities, supporting technical recognition and prediction, and serving science and technology evaluation. 展开更多
关键词 Big Data in Science of Science Science of Science SCIENTOMETRICS scientific structure Knowledge Discovery
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