Institutional Frictions and Supply Chain Resilience: Evidence from the Sino-Kazakhstan Agri-Food Corridor
https://doi.org/10.47703/2789-8253-2026-2-145-161
Abstract
Cross-border agri-food supply chains are increasingly facing institutional uncertainty, logistical constraints, and geopolitical disruptions, which increases the importance of supply chain sustainability for the stable development of international trade.
This study aims to assess how perceived institutional and spatial frictions influence supply chain resilience in the Sino-Kazakhstan agri-food corridor, with particular attention to the mediating roles of relational governance and trust, and flexible strategies.
The study uses a quantitative approach based on partial least squares (PLS-SEM) structural equation modeling. The empirical basis was based on data from a survey of 100 specialists involved in cross-border agri-food trade between China and Kazakhstan. The results showed that perceived institutional and spatial barriers have a strong positive impact on relational governance and trust (β = 0.502; t = 6.223; p < 0.001), while their direct impact on flexible strategies is not statistically significant at the 5 % level (β = 0.197; t = 1.782; p = 0.075). Mediation analysis confirmed that relational governance and trust significantly mediate the relationship between institutional barriers and supply chain sustainability (β = 0.207; t = 3.978; p < 0.001), whereas the mediating effect of flexible strategies was not confirmed (β = 0.111; t = 1.705; p = 0.088). The findings show that, in the context of cross-border institutional barriers, relational governance is a key mechanism for ensuring sustainability, especially for resource-constrained companies operating in transition economies.
Keywords
About the Authors
Li WenqinChina
Li Wenqin, DBA Candidate, Lecturer
School of Finance, Economics and Law
Enshi; Kazakhstan; Almaty
A. Moldabekova
Kazakhstan
Aisulu Moldabekova, PhD, Senior Researcher
Almaty
References
1. ADB. (2023). CAREC Regional Integration Index 2023. Asian Development Bank. Retrieved March 15, 2026 from https://www.adb.org/publications/carec-regional-integration-index-2023
2. Ali, I., Arslan, A., Chowdhury, M., Khan, Z., & Tarba, S. Y. (2022). Reimagining global food value chains through effective resilience to COVID-19 shocks and similar future events: A dynamic capability perspective. Journal of Business Research, 141, 1–12. doi: 10.1016/j.jbusres.2021.12.006
3. Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm’s resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33–34(1), 111–122. doi: 10.1016/J.JOM.2014.11.002
4. Chen, J., & Lewis, M. (2024). Trust and distrust in buyer–supplier relationships: An exploratory experimental study. International Journal of Operations & Production Management, 44(2), 515–537. doi: 10.1108/ijopm-12-2022-0773
5. Eckerd, S., Handley, S., & Lumineau, F. (2021). Trust violations in buyer–supplier relationships: Spillovers and the contingent role of governance structures. Journal of Supply Chain Management, 58(3), 47–70. doi: 10.1111/JSCM.12270
6. Egamberdiev, B. (2024). Social capital effects on resilience to food insecurity: Evidence from Kyrgyzstan. Journal of International Development, 36(1), 435–450. doi: 10.1002/jid.3826
7. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. doi: 10.1108/EBR-11-2018-0203
8. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. doi: 10.1007/s11747-014-0403-8
9. Iftikhar, A., Ali, I., Zhan, Y., Stevenson, M., & Tarba, S. Y. (2025). Firms’ strategic responses to rising uncertainty amid ongoing geopolitical tensions: The synergistic mediating role of network capability and innovation ambidexterity. Transportation Research Part E : Logistics and Transportation Review, 199, 104146. doi: 10.1016/j.tre.2025.104146
10. Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10. doi: 10.4018/ijec.2015100101
11. Liu, Y., Huang, Y., Luo, Y., & Zhao, Y. (2012). How does justice matter in achieving buyer–supplier relationship performance? Journal of Operations Management, 30(5), 355–367. doi: 10.1016/j.jom.2012.03.003
12. Lücker, F., Timonina-Farkas, A., & Seifert, R. (2024). Balancing resilience and efficiency : A literature review of dual-purpose resources in supply chain management. Production and Operations Management, 34(6), 1495–1511. doi: 10.1177/10591478241302735
13. Niu, Y., Werle, N., Cohen, M.A., Cui, S., Deshpande, V., Ernst, R., Huchzermeier, A., Tsay, A.A., & Wu, J. (2025). Restructuring Global Supply Chains: Navigating Challenges of the COVID-19 Pandemic and Beyond. Manufacturing & Service Operations Management, 27(4), 1025–1036. doi: 10.1287/msom.2024.0879
14. Norrman, A., & Eriksson Ahre, E. (2024). Contextualizing supply chain risk governance in critical infrastructure sectors: Insights from the Swedish food system. The International Journal of Logistics Management, 35(7), 33–59. doi: 10.1108/IJLM-10-2023-0444
15. Piprani, A. Z., Mohezar, S., & Jaafar, N. I. (2022). Multidimensional supply chain flexibility and supply chain resilience: The mediating role of supply chain integration. Operations Management Research, 15, 307–325. doi: 10.1007/s12063-021-00232-w
16. Pomfret, R. (2019). The Central Asian Economies in the Twenty-First Century: Paving a New Silk Road. Princeton University Press.
17. Ringle, C. M., Wende, S., & Becker, J.-M. (2022). SmartPLS 4. Oststeinbek: SmartPLS GmbH.
18. Swafford, P. M., Ghosh, S., & Murthy, N. (2006). The antecedents of supply chain agility of a firm: Scale development and model testing. Journal of Operations Management, 24(2), 170–188. doi: 10.1016/j.jom.2005.05.002
19. Tjia, L. Y.-N. (2022). Kazakhstan’s leverage and economic diversification amid Chinese connectivity dreams. Third World Quarterly, 43(4), 797–822. doi: 10.1080/01436597.2022.2027237
20. Wang, K., Huo, B., Tian, M., & Yeung, A. C. L. (2025). Revisiting the interplay of trust and contracts: The roles of technological turbulence and dependence disadvantage. Journal of Purchasing and Supply Management, 31(1), 100895. doi: 10.1016/j.pursup.2024.100895
21. Williamson, O. E. (1985). The Economic Institutions of Capitalism: Firms, Markets, Relational Contracting. Free Press.
22. Wissuwa, J., Durach, C. F., & Choi, T. Y. (2022). Selecting resilient suppliers: Supplier complexity and buyer disruption. International Journal of Production Research, 60(22), 6842–6861. doi: 10.1016/j.ijpe.2022.108601
23. Wu, Q., Zhu, J., & Cheng, Y. (2023). The effect of cross-organizational governance on supply chain resilience: A mediating and moderating model. Journal of Purchasing and Supply Management, 29(1), 100817. doi: 10.1016/j.pursup.2023.100817
24. Yerniyazova, Zh. (2024). Institutional barriers and trade facilitation in Sino-Kazakhstan agricultural commerce. Central Asian Survey, 43(2), 215–234.
25. Zhang, C., Moosmayer, D., Wang, M., & Ohana, M. (2024). Managing Chinese suppliers’ sustainability performance: The double-edged role of guanxi governance. Industrial Marketing Management, 118, 189–199. doi: 10.1016/j.indmarman.2024.03.001
26. Zhao, Y., Ji, C., Chen, Y., & Zhu, X. (2024). Who gains, who loses? – The impact of the belt and road initiative on bilateral agricultural trade. China Economic Review, 88, 102284. doi: 10.1016/j.chieco.2024.102284
Review
For citations:
Wenqin L., Moldabekova A. Institutional Frictions and Supply Chain Resilience: Evidence from the Sino-Kazakhstan Agri-Food Corridor. Eurasian Journal of Economic and Business Studies. 2026;70(2):145-161. https://doi.org/10.47703/2789-8253-2026-2-145-161
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