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The Research For Security Early Warning On Agricultural Product Processing Industry

Posted on:2015-02-20Degree:MasterType:Thesis
Country:ChinaCandidate:L L XiaoFull Text:PDF
GTID:2269330425989138Subject:Public Finance
Abstract/Summary:PDF Full Text Request
Industry security has always been an important part of national economic security, which is an important starting point for the government to formulate industrial policy, coordinate economic development, and maintain national economic interests. Agricultural Product Processing Industry (APPI) is an important part of the Agricultural Industrialization in China, which not only meets the basic needs of human for food, and increases the added value of agricultural products. The development of the APPI is the strategy focus for the promoting of agriculture industrialization management and the economic reconstruction of the rural areas. It is also the necessary procedure of joining together the small-scale agriculture production and the modern production. Furthermore, it is the key solution to the problems of agriculture product selling, agriculture efficiency improving and rural incomes increasing. Therefore, making a research on the safety early warning mechanism of the APPI is particularly important.This paper 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 current 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. On chapter Ⅴ, the paper establish and run the BP neural network according to the data from2001-2011. 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 in2013, and there is a slight danger in2014so we need take relevant effective measures to prevent risks. Finally, this article proposes the development proposals and policy suggestions on the APPI.
Keywords/Search Tags:APPI, industrial safety early warning, BP neural network, AHP
PDF Full Text Request
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