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Towards common development through China’s Belt and Road Initiative

Author

Listed:
  • Zihao Ma

    (Beijing Normal University, Haidian District)

  • Jiahong Guo

    (Minzu University of China, Haidian District)

  • Duanyang Xu

    (CAS)

  • Shixiong Cao

    (Minzu University of China, Haidian District)

Abstract

The huge gap in economic development between developed countries and developing countries has negative impacts on globalization’s contribution to the world. To promote socioeconomic development in Southeast Asia and narrow the gap between rich and poor countries, China implemented the Belt and Road Initiative (BRI). However, perceptions of the BRI around the world are polarized. We used Hsiao–Ching–Wan empirical analysis to provide a more objective way to interpret the BRI and found that the initiative achieved a positive average treatment effect (i.e., a beneficial policy response) of 14.8% for China’s real GDP from 2014 to 2018, of 82.0% for real investment, and of 129.6% for real net exports. Using Kazakhstan and India as examples of member BRI countries and non-member countries, respectively, BRI also achieved a positive average treatment effect of 13.2% and 2.1% for real GDP, respectively. Thus, the BRI is a win–win initiative for both members and non-members. Our analysis, combined with the current situation and our review of other studies, showed that a lack of confidence in the BRI by some countries has slowed BRI’s development. China and other developed countries should therefore make greater efforts to promote development in poor countries along the BRI routes and improve the common development of all humans.

Suggested Citation

  • Zihao Ma & Jiahong Guo & Duanyang Xu & Shixiong Cao, 2025. "Towards common development through China’s Belt and Road Initiative," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-20, February.
  • Handle: RePEc:kap:iecepo:v:22:y:2025:i:1:d:10.1007_s10368-024-00639-3
    DOI: 10.1007/s10368-024-00639-3
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    References listed on IDEAS

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    1. Yuan Li & Martin Kleimann & Hans-Jörg Schmerer, 2021. "Estimating causal effects of BRI infrastructure projects based on the synthetic control method," Asia Europe Journal, Springer, vol. 19(1), pages 103-129, December.
    2. Ouyang, Min & Peng, Yulei, 2015. "The treatment-effect estimation: A case study of the 2008 economic stimulus package of China," Journal of Econometrics, Elsevier, vol. 188(2), pages 545-557.
    3. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.
    4. Zhiheng Wu & Guisheng Hou & Baogui Xin, 2020. "Has the Belt and Road Initiative Brought New Opportunities to Countries Along the Routes to Participate in Global Value Chains?," SAGE Open, , vol. 10(1), pages 21582440209, January.
    5. Xiao Ruan & Yapa Mahinda Bandara & Jun-Yeop Lee & Paul Tae-Woo Lee & Prem Chhetri, 2019. "Impacts of the Belt and Road Initiative in the Indian subcontinent under future port development scenarios," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(8), pages 905-919, November.
    6. Rao, B. Bhaskara & Vadlamannati, Krishna Chaitanya, 2011. "Globalization and growth in the low income African countries with the extreme bounds analysis," Economic Modelling, Elsevier, vol. 28(3), pages 795-805, May.
    7. Du, Zaichao & Zhang, Lin, 2015. "Home-purchase restriction, property tax and housing price in China: A counterfactual analysis," Journal of Econometrics, Elsevier, vol. 188(2), pages 558-568.
    8. Li, Kathleen T. & Bell, David R., 2017. "Estimation of average treatment effects with panel data: Asymptotic theory and implementation," Journal of Econometrics, Elsevier, vol. 197(1), pages 65-75.
    9. Giuseppe Gabusi, 2017. "“Crossing the River by Feeling the Gold”: The Asian Infrastructure Investment Bank and the Financial Support to the Belt and Road Initiative," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 25(5), pages 23-45, September.
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