| With the continuous and rapid growth of China’s economy,China’s construction industry has achieved unprecedented development.Chinese construction companies not only contract projects in China,but some have begun to enter the international contracting market.With the rapid and sustainable development of the international contracting market,considerable achievements have been made.The US "Engineering-News-Record"(Engineering-News-Record),as the first organization to issue the list of international contractors,selects "250 internationally renowned contractors" every year.This list is regarded as the authoritative ranking list of the international contractor industry.More and more Chinese construction companies that have made great progress appear on the list.In this paper,using the J company listed on the 2021 ENR list above as the research object,and selected the indicators that can reflect the financial competitiveness of J company,then use the entropy method and BP neural network to establish a financial competitiveness evaluation model.After evaluate and analysis the financial competitiveness of J company,use the value chain theory to put forward suggestions for J Company to improve its financial competitiveness.This paper first elaborate the background,meaning and purpose of the topic selection,and research status of involved the theories.In the second part,define the concepts and theories involved in this paper.In the third part,on the basis of past research,this paper selects the index of financial competitiveness and constructs the evaluation index system of financial competitiveness.In the third part,build a neural network-based financial competitiveness model,and uses the entropy method to verify the model.Finally,use the model to evaluate and analyze the financial competitiveness of J company,analyze the value chain of J company,and put forward suggestions for J company to improve its financial competitiveness. |
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