Risk assessment of China's foreign direct investment in "One Belt, One Road": Taking the green finance as a research perspective

Wei Zhai

Socio-Economic Planning Sciences, 2023, vol. 87, issue PB

Abstract: With the active promotion of the "the Belt and Road" initiative, overseas investment has shown a market prospect of explosive growth in various countries and has received continuous attention from scholars at home and abroad. With the proposal of the goal of carbon neutrality in countries and regions along the Belt and Road, green investment has become a new driving force for foreign investment. Based on the theory of quality function deployment (QFD) and the G1 entropy method in fuzzy mathematics, this paper constructs 10 risk indicators of China's foreign investment from the perspective of green from the four levels of economic risk, environmental risk, social and cultural risk and political risk, and studies 61 countries along the line. The results show that the four types of risks have an important impact on China's foreign investment. Therefore, Chinese government and enterprises should strengthen the comprehensive evaluation of the overall situation of the host country when investing. Our research has not only achieved theoretical improvement and practical innovation, but also put forward targeted suggestions for China to strengthen risk prevention and control of investment in countries along the "Belt and Road" from the perspective of green finance.

Keywords: Belt and road initiative; Investment risk assessment; Green finance; Quality function deployment; G1-entropy method (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0038012123000587
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:87:y:2023:i:pb:s0038012123000587

DOI: 10.1016/j.seps.2023.101558

Access Statistics for this article

Socio-Economic Planning Sciences is currently edited by Barnett R. Parker

More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().