A Study on Influences of Meteorological Anomaly Indices upon Chinas Typical Industries

摘要：

In this article we calculated and compiled the daily four point data of meteorological factors: temperature, wind speed, relative humidity, atmospheric pressure and precipitation from 1999 to 2006. We created the meteorological anomaly values and abnormal indices, and collected data of sales revenue, capital investment and labor input in 6 typical industries. The Cobb-Douglas production function was applied in comparative analyzing the influence of these meteorological anomalies indices on the industries.

关键词： Meteorology Anomaly Indices Industries Influence

作者: Guo Ji Xianhua Wu Haibao Yu

作者单位: Yale-Nanjing (UIST) Urban Resource and Environment Initiative,Nanjing,P.R.China,210044 School of Eco Yale-Nanjing (UIST) Urban Resource and Environment Initiative, Nanjing, P.R.China, 210044

会议类型: 国际会议

会议名称: 2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)

会议地点: 烟台

会议语种:英文

页码: 1-10

在线出版日期: 2008-08-14（万方平台首次上网日期，不代表论文的发表时间）