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

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Abstract

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.

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Acknowledgements

The author acknowledge the financial support by (1) the fundamental research funds for the central universities, China (Grant no. 2014QN23); (2) Science and Technology planning project of Hebei Province, China (Grant no. 14454317D).

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Correspondence to Jing Fu.

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Fu, J. A study on foreign direct investment mode based on AHP and entropy learning. Int. J. Mach. Learn. & Cyber. 10, 207–214 (2019). https://doi.org/10.1007/s13042-018-0818-5

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