Spatial Statistical Analysis and Comprehensive Evaluation of High-Tech Industry Development

• 作者: Binhui Wang
• 来源期刊: 统计学期刊(英文)
• 学科: 经济
• 关键词: Principal Component Analysis Spatial Statistics R Language Comprehensive Evaluation
• 年，卷（期）: 2020,（3）
• 页码范围: 431-452
• 页数: 22页
• 分类号: F42

摘要

After 30 years of economic development, the high-tech industry has played </span><span style="font-family:Verdana;">an </span><span style="font-family:Verdana;">important role in China’s national economy. The development of high-level</span><span style="font-family:"font-size:10pt;"> </span><span style="font-family:Verdana;">technological industry plays a leading role in guiding the transformation of </span><span style="font-family:Verdana;">China’s economy from “investment-driven” to “technology-driven”. The</span><span style="font-family:Verdana;"> high-tech industry represents the future industrial development direction and plays a positive role in promoting the transformation of traditional industries. The rapid development of high-tech industry is the key to social progress. In this paper, the traditional analytical model of statistics is combined with principal component analysis and spatial analysis, and R language is used to express the analytical results intuitively on the map. Finally, a comprehensive evaluation is established.