Presently, it is unfamiliar to see the research of dynamic influences between meteorological factors and economic systems. Thus, first, by using the a nnual temperature, industry production value, GDP and labour force data, a multvariable SVAR model is built. Then, the dynamic impacts between temperature and industry economy are analyzed through impulse response function (IRF) method. At last, a variance decomposition technique is adopted to investigate the influence degree. The results show that temperature rising has a negative effect on the industry economy of Nanjing as a whole, but it tends to be unconspicuous, about 3.1% of the industry production value is affected by the negative influence resulting from temperature rising every year. And the positive effect from industry economy developing to the temperature rising is remarkable, the annual contribution rate is about 4.4%. It proves that the way introduced in this paper on the basis of SVAR model is a reasonable and useful method to study the impacts between meteorological factors and economic systems.