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A Study on Influences of Meteorological Anomaly Indices upon China's Typical Industries

机译:气象异常指标对中国典型产业影响的研究

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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.
机译:在本文中,我们计算和编译了气象因素的每日四点数据:1999年至2006年的温度,风速,相对湿度,大气压和降水量。我们创造了气象异常值和异常指数,并收集了销售收入数据,典型行业的资本投资与劳动力投入。 COBB-DOGGLAS生产功能应用于比较分析这些气象异常指数对行业的影响。

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