摘要
网络搜索数据作为研究我国宏观经济现象的重要微观信息依据,具有显著意义。本文分别从消费、投资、进出口、工业生产、政策、劳动力及经济形势七方面选取并筛选关键词,进而合成网络搜索指数,通过深入的相关性研究发现,网络搜索指数与宏观经济之间呈现较高的相关性。这意味着网络搜索指数一方面能为宏观经济政策制定者提供更为准确且及时的决策参考,使政策制定更具针对性和有效性,助力宏观经济的稳定与发展;另一方面也能为市场参与者提供有价值的信息,帮助其更精准地把握市场动态,从而做出更明智的投资和经营决策,促进市场健康有序运行。
As an important micro-information basis for researching China's macro-economic phenomena,web search data is of remarkable significance.Keywords are selected and screened from seven aspects:consumption,investment,import and export,industrial production,policy,labor force,and economic situation,and then a web search index is synthesized.Through in-depth correlation research,it is found that there is a high correlation between the web search index and the macro-economy.This means that,on the one hand,the web search index can provide more accurate and timely decision-making references for macroeconomic policymakers,making policy formulation more targeted and effective and helping the stability and development of the macroeconomy.On the other hand,it can also provide valuable information for market participants,helping them to more accurately grasp market dynamics and thus make more informed investment and business decisions,promoting the healthy and orderly operation of the market.
作者
林智敏
王书平
Lin Zhimin;Wang Shuping(School of Economics and Management,North China University of Technology,100144,Beijing)
出处
《中国商论》
2024年第23期113-116,共4页
China Journal of Commerce
基金
北方工业大学北京城市治理研究基地开放课题(110051360023XN277-02)。
关键词
网络搜索数据
工业增加值
宏观经济
主成分分析
经济景气指数
Web search data
Industrial added value
Macroeconomy
Principal component analysis
Economic prosperity index