A study on foreign direct investment mode based on AHP and entropy learning

作者：Fu, Jing^*

来源：International Journal of Machine Learning and Cybernetics, 2019, 10(1): 207-214.

DOI：10.1007/s13042-018-0818-5

• Entropy
• Mode selection
• Foreign direct investment
• Photovoltaic industry
• Analytic hierarchy process

Foreign direct investment mode selection directly affects the efficiency of investment. This paper analyzes the current situation of Chinese photovoltaic (PV) industry and the spatial distribution, supply and demand relations, technical level and additional value distribution of the global PV industry chain. The competitive advantages and disadvantages of the foreign investment in Chinese PV industry chain are defined. The evaluation system of the selection of the foreign direct investment model of the photovoltaic industry chain is established using the analytic hierarchy process and the entropy learning, and relative analysis is given in this paper. The results show that the optimal investment models of the upper, middle and the lower reaches of the industrial chains are the cross border mergers and acquisitions, green-field investment and green-field investment, respectively.

• 出版日期2019-1