Analysis of sensitivity of energy and transportation industries to extreme weather in Northern China

被引：0
|
作者：
Chinese Research Academy of Environmental Sciences, Beijing, China [1 ]
不详 [2 ]
不详 [3 ]
不详 [4 ]
机构：
[1] Chinese Research Academy of Environmental Sciences, Beijing
[2] China Center for Resources Satellite Data and Application, Beijing
[3] Beijing Fangdi Institute of Economic Development, Beijing
[4] Research of Agricultural Environment and Sustainable Development, Chinese Academy of Agricultural Sciences, Beijing
来源：
Res. Environ. Sci. | / 4卷 / 495-502期
关键词：
Cobb-Douglas production function; Extreme weather; Sensitivity; Trans-log production function;
D O I：
10.13198/j.issn.1001-6929.2015.04.02
中图分类号：
学科分类号：
摘要：
Based on the Cobb-Douglas and trans-log production functions, and using the heating degree days (HDD), cooling degree days (CDD), percentage of precipitation anomalies (P) as well as energy and transportation production indexes, the sensitivity to extreme climate change of energy and transportation industries in five provinces (Beijing, Tianjin, Hebei Province, Shanxi Province, Neimonggu) in Northern China were analyzed. The results showed that energy and transportation industries were slightly impacted by CDD and P, and were significantly affected by HDD. In the energy industry, the maximum values of HDD, CDD and P were 0.29, 0.10 and 0.07, respectively, which were the same as those in the transportation industry. CDD and P slightly impacted industrial value due to the energy consumption structure and transportation mode, while HDD greatly influenced them in Northern China. This indicated that ice, snow and cold waves have more seriously affected the energy and transportation industries than high temperature, heat waves and floods, drought, and other extreme weather. The most significant differences of HDD, CDD and P in the transportation industry occurred in Shanxi Province, where a 1% increase of HDD and CDD and P caused output changes of -0.11%, 0.11% and 0.03% in the transportation sector, respectively. The values of sensitivity were associated with extreme climate change and its losses in Northern China. ©, 2015, Editorial department of Molecular Catalysis. All right reserved.
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页码：495 / 502
页数：7
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