An early risk warning system for Outward Foreign Direct Investment in Mineral Resource-based enterprises using multi-classifiers fusion-Reference-Cited by-同舟云学术

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An early risk warning system for Outward Foreign Direct Investment in Mineral Resource-based enterprises using multi-classifiers fusion

Published:2020-06 Issue: Volume:66 Page:101593
ISSN:0301-4207
Container-title:Resources Policy
language:en
Short-container-title:Resources Policy

Author:

Wang Delu,Tong Xian,Wang Yadong

Funder

2018 Project for Cultural Evolution and Creation of CUMT

Publisher

Elsevier BV

Subject

Law,Management, Monitoring, Policy and Law,Economics and Econometrics,Sociology and Political Science

Reference40 articles.

1. Performance development of space vector pulse width modulation for induction motor drive using artificial intelligence;Abd Ali;Appl. Mech. Mater.,2015

2. Using GMDH neural networks to model the power and torque of a stirling engine;Ahmadi;Sustainability-Basel,2015

3. Oil subsidies and the risk exposure of oil-user stocks: evidence from net oil producers;Alhassan;Resour. Pol.,2018

4. Generalized random forests;Athey;Ann. Stat.,2019

5. Environmental investment and firm performance: a network approach;Bostian;Energy Econ.,2016

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2. A Foreign Investment Destination Risk Framework: Evaluating the Southern African Development Community Member States;Acta Universitatis Lodziensis. Folia Oeconomica;2023-10-27

3. Assessing the high-quality development strategy of mineral resource enterprises;Chinese Management Studies;2023-10-03

4. How do strategic mineral resources affect clean energy transition? Cross-sectional autoregressive distributed lag (CS-ARDL) approach;Mineral Economics;2023-03-16

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