Advances in Economics, Management and Political Sciences

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Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Series Vol. 51 , 01 December 2023


Open Access | Article

Study on the Influencing Factors of China's Outward FDI in RCEP Member Countries

Xinyi Zhong * 1
1 Wuhan Istitute of Technology

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 51, 12-24
Published 01 December 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Xinyi Zhong. Study on the Influencing Factors of China's Outward FDI in RCEP Member Countries. AEMPS (2023) Vol. 51: 12-24. DOI: 10.54254/2754-1169/51/20230601.

Abstract

The Regional Comprehensive Economic Partnership (RCEP) is the world's most populous free trade area with the largest economic and trade scale and the most development potential, and it will officially come into force in 2022, providing an opportunity for RCEP member countries to attract investment from China. Based on the information of economic and demographic characteristics of RCEP member countries from 2012 to 2020 and the panel data from China's ODFI, this paper measures and examines the influencing factors of China's direct investment in RCEP member countries by constructing a bidirectional fixed effects panel model of China's direct investment in RCEP countries. It is found that: the host country's net per capita national income, per capita GDP growth rate, merchandise trade and service trade inhibit China's investment in RCEP member countries, while the host country's GDP growth rate, per capita GDP can promote China's investment in RCEP countries, the host country's industry, exchange rate, and legal indices are not the main factors affecting China's direct investment in RCEP, and should be used in the comprehensive investment decision-making when On the basis of considering the unbalanced economic development of each country, the optimal layout of China's direct investment in RCEP member countries should be co-ordinated to provide more opportunities for Chinese enterprises to enter the markets of RCEP member countries.

Keywords

OFDI, RCEP agreement, influencing factors

References

1. SHEN Minghui,GUO Mingying. Regional Comprehensive Economic Partnership Agreements under Great Changes: Characteristics, Impacts and Opportunities[J]. Contemporary World,2021,(01):44-51.

2. Sun Lifang,Yang Li. An Empirical Study on the Influencing Factors and Potential of Bilateral Trade between China and Other RCEP Member Countries[J]. Financial Theory Research,2018,(02):80-89.

3. Neha Saini and Monica Singhania. (2018). Determinants of FDI in developed and developing countries: a quantitative analysis using GMM. Journal of Economic Studies, 45(2), pp. 348-382.

4. Liu Zhizhong and Liu Guangyue and Zhang Ping. (2022). Does the Belt and Road Initiative increase the green technology spillover of China’s OFDI? An empirical analysis based on the DID method. Frontiers in Environmental Science.

5. Li Zheng and Gao Shan and Song Shunfeng. (2023). Labor protection, labor costs, and China's outward foreign direct investment. International Review of Economics and Finance, 84pp. 444-459.

6. Daxiao Yang. (2022). The impact of continuous and discontinuous host country risk on the location choice of Chinese enterprises' OFDI. Academic Journal of Business & Management, 4(16),

7. Wang Xiaosong and Wu Huan and Li Le. (2022). Risks and Firms' Decision Making on Outward Foreign Direct Investment: An Empirical Analysis of China's State‐owned Enterprises. China & World Economy, 30(6), pp. 163-182.

8. Chen Shumei, Ni Juhua. The Economic Effects of China's Accession to the Regional Comprehensive Economic Partnership: A Simulation Analysis Based on the GTAP Model[J]. Asia-Pacific Economy,2014,(02):125-133.

9. Meng Mang,Zheng Zhaoyang.Computable General Equilibrium Analysis of the Economic Effects of Trade Liberalisation between TPP and RCEP[J]. International Economic and Trade Exploration,2015,31(04):67-75.

10. Zhang Bin,Zhang Fei.RCEP's Progress, Obstacles and China's Strategic Choice[J]. Nankai Journal (Philosophy and Social Science Edition),2016,(06):122-130.

11. Zhou Shudong,Zheng Jian. Trade Efficiency and Influencing Factors between China and RCEP Partner Countries - An Empirical Analysis Based on Stochastic Frontier Gravity Model[J]. Exploration of Economic Issues,2018,(07):89-97.

12. Zhu Wenpeng. Empirical Analysis of the Impact of Trade Facilitation on Trade Export Potential - Based on a Sample of China's Exports to RCEP Member Countries[J]. Business and Economic Research,2022,(06):156-159.

13. Chen Shumei,Zhao Liang. Why Choose RCEP over TPP for East Asian Regional Cooperation under the New Perspective of Wide Area Integration?[J]. Northeast Asia Forum,2014,23(02):50-58+127.

14. Meng Mang,Zheng Zhaoyang.Computable General Equilibrium Analysis of the Economic Effects of Trade Liberalisation between TPP and RCEP[J]. International Economic and Trade Exploration,2015,31(04):67-75.

15. Qiaomin Li and Robert Scollay and John Gilbert. (2017). Analyzing the effects of the Regional Comprehensive Economic Partnership on FDI in a CGE framework with firm heterogeneity. Economic Modelling, 67pp. 409-420.

16. Wannisinghe Pasindu et al. (2023). Determining the influence of LPI, GCI and IR on FDI: A study on the Asia and Pacific Region.. PloS one, 18(2), pp. e0281246-e0281246.

17. Xie Mengjun,Guo Yanru. Research on the impact of legal system quality on China's outward foreign direct investment location choice--a panel data empirical test based on the perspective of investment motivation[J]. International Economic and Trade Exploration,2013,29(06):107-118.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
ISBN (Print)
978-1-83558-149-0
ISBN (Online)
978-1-83558-150-6
Published Date
01 December 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/51/20230601
Copyright
01 December 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated