Overseas Investment Ecological Environment Evaluation Method Based on Artificial Neural Network

Peng-Ju Zhao

Ekoloji, 2019, Issue 108, Pages: 551-555


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The research on China’s foreign investment ecological environment assessment helps to improve the security and stability of “going out” in China, and has important reference value for the location decision and risk management of China’s foreign direct investment projects. The existing investment ecological environment assessment methods reveal some influencing factors. Some factors have little significance in the evaluation of overseas investment ecological environment. To address this problem, an overseas investment ecological environment evaluation method based on artificial neural network is proposed in this paper. The results show that there are obvious spatial differences in China’s external investment ecological environment. In general, the distribution pattern is “Oceania developed economic circle > Asian and African developing countries and emerging economies”. The political and legal environment is characterized by the spatial difference of “the best developed countries in Oceania and the poorer countries in Asia and Africa”. The economic and opening environment presents have spatial distribution characteristics that “global environment is better and parts of Asian and African countries are poorer”.


artificial neural network, overseas, investment ecological environment, assessment


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