Impact of ASEAN Countries' Infrastructure on OFDI Efficiency in China: Based on the DEA-Tobit Model
DOI: 10.23977/ferm.2023.060204 | Downloads: 13 | Views: 476
Author(s)
Jiangrong Lan 1
Affiliation(s)
1 International College, Guangxi University, 100 East University Road, Nanning, Guangxi, China
Corresponding Author
Jiangrong LanABSTRACT
In recent years, driven by the "Belt and Road" and " 21st Century Maritime Silk Road", China has gradually expanded its outward direct investment in ASEAN countries. This paper takes ASEAN countries as the research objects, uses the standard efficiency DEA model to evaluate the OFDI efficiency of China to ASEAN countries, and further explores the impact of infrastructure construction and other factors on investment efficiency through Tobit model. The results show that the comprehensive technology efficiency of China's OFDI is in the middle level, the pure technology efficiency is in the effective state, and the investment scale efficiency is in the suboptimal state. The regression results show that communication infrastructure significantly promotes OFDI scale efficiency in China; transportation infrastructure quality significantly inhibits OFDI scale efficiency; and the effect of energy infrastructure quality on OFDI scale efficiency is uncertain. Gross domestic product, natural resource endowment, labor resource level and financial development level are positively correlated with scale efficiency, and the level of opening up is negatively correlated with scale efficiency. In the end, the article provides suggestions for further strengthening the investment cooperation between China and ASEAN countries.
KEYWORDS
ASEAN, OFDI, efficiency of investment scale, DEA-Tobit modelCITE THIS PAPER
Jiangrong Lan, Impact of ASEAN Countries' Infrastructure on OFDI Efficiency in China: Based on the DEA-Tobit Model. Financial Engineering and Risk Management (2023) Vol. 6: 31-39. DOI: http://dx.doi.org/10.23977/ferm.2023.060204.
REFERENCES
[1] Jin Bo. Efficiency evaluation of Chinese investment in Africa to promote economic growth of African host countries —based on DEA. Technical Economy, 2011, 30 (10): 58-65.
[2] Tian Ze, Gu Xin, Yang Xinyuan. Evaluation of Chinese direct investment in Africa —— Based on ultra-efficiency DEA method. Economic longitude, 2016, 33 (04): 50-55.
[3] Hao Xiaoli, Zhuo Chengfeng, Deng Feng. International technology spillover, human capital and energy efficiency improvement of the Silk Road Economic Belt —— is based on the projection tracing model and the stochastic frontier analysis method. International Business (Journal of University of International Business and Economics), 2019 (02): 13-24.
[4] Elizabeth Asiedu. On the Determinants of Foreign Direct Investment to Developing Countries: Is Africa Different?. World Development, 2002, 30 (1).
[5] Kumar N.Infrastructure Availability, Foreign Direct Investment Inflows and Their Export-Orientation: A Cross-Country Exploration. The Indian Economic Journal.2017, 54 (1): 125-144.
[6] Yao Zhanqi. Analysis of spillover effects of OFDI in countries along the Belt and Road route in China. Journal of Hebei University of Economics and Business, 2017, 38 (05): 22-30.
[7] Faheem Ur Rehman, Yibing Ding, Abul Ala Noman, Muhammad Asif Khan. China's outward foreign direct investment and exports diversification: an asymmetric analysis. Journal of Chinese Economic and Foreign Trade Studies, 2020, 13 (2).
Downloads: | 16798 |
---|---|
Visits: | 342938 |
Sponsors, Associates, and Links
-
Information Systems and Economics
-
Accounting, Auditing and Finance
-
Industrial Engineering and Innovation Management
-
Tourism Management and Technology Economy
-
Journal of Computational and Financial Econometrics
-
Accounting and Corporate Management
-
Social Security and Administration Management
-
Population, Resources & Environmental Economics
-
Statistics & Quantitative Economics
-
Agricultural & Forestry Economics and Management
-
Social Medicine and Health Management
-
Land Resource Management
-
Information, Library and Archival Science
-
Journal of Human Resource Development
-
Manufacturing and Service Operations Management
-
Operational Research and Cybernetics