Abstract

This study introduces domestic and foreign scholars' research achievements in industrial safety, industrial safety early warning and industry safety on APPI base on existing literature. And then the paper gives an introduction to the can ent financial support policy on the APPI and take a quantitatively study about the implementation of fiscal policy influence on the industry security early warning of APPI. On the base of the scholars of the existing research results and my research, I put forward the early warning index system of the APPI. The paper establish and run the BP neural network according to the data from 2001-2012. And I make a forecast about the industry security early warning of APPI on the basis of that BP neural network. The results show that the APPI in China is safe in 2014 and there is a slight danger in 2015 so we need take relevant effective measures to prevent risks. Finally, this study proposes the development proposals and policy suggestions on the APPI.

Keywords:

AHP, APPI, early warning, layer analysis method, security warning system,

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Competing interests

The authors have no competing interests.

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