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Performance Evaluations and Influencing Factors of the Agricultural Product Trade Supply Chain between China and Central Asian Countries

Author

Listed:
  • Kahaer Abula

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China)

  • Buwajian Abula

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China)

  • Xinyu Wang

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China)

  • Dezhen Wang

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China
    Business School, Yulin Normal University, Yulin 537000, China)

Abstract

With the development of global economic integration and the continuous promotion of the “Belt and Road” initiative, the agricultural trade supply chain has become an important part of the agricultural trade supply chain of countries along the “Belt and Road”. Through transnational connectivity, the level of economic and trade cooperation has been improved, providing favorable conditions for the development of a high-quality trade supply chain serving broad areas. Therefore, building a sound and stable supply chain of agricultural products has important practical and theoretical significance for improving the level of economic and trade cooperation of countries along the “Belt and Road” and promoting China’s high-quality economic development. The results show that the trend line of agricultural product trade supply chain performance between China and Central Asia shows a significant downward trend (non-Data Envelopment Analysis efficiency still accounts for a large proportion, and the comprehensive benefits are affected by economies of scale, which is mainly related to the economic conditions of Central Asian countries). The influencing factors of each dimension have significant positive effects on the performance of the agricultural trade supply chain between China and Central Asia to varying degrees and can maximize the performance of China’s Central Asian agricultural trade supply chain through the influencing factors of each dimension of Central Asian countries within the optimal promotion interval. This study recommends improving the information processing efficiency of both parties, predicting market demand, and shortening relevant payment and trade links to improve the efficiency of logistics and transportation between China and Central Asian countries. China’s assistance to the logistics and transportation infrastructure of Central Asian countries can effectively strengthen the connectivity between China and Central Asian countries to promote the overall performance level of the supply chain and achieve mutually beneficial results.

Suggested Citation

  • Kahaer Abula & Buwajian Abula & Xinyu Wang & Dezhen Wang, 2022. "Performance Evaluations and Influencing Factors of the Agricultural Product Trade Supply Chain between China and Central Asian Countries," Sustainability, MDPI, vol. 14(23), pages 1-27, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15622-:d:982817
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    References listed on IDEAS

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    1. Rosa Puertas & Luisa Martí & Leandro García, 2014. "Logistics performance and export competitiveness: European experience," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(3), pages 467-480, August.
    2. M A Krajewska & H Kopfer & G Laporte & S Ropke & G Zaccour, 2008. "Horizontal cooperation among freight carriers: request allocation and profit sharing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(11), pages 1483-1491, November.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Nguyen, Hong-Oanh & Tongzon, Jose, 2010. "Causal nexus between the transport and logistics sector and trade: The case of Australia," Transport Policy, Elsevier, vol. 17(3), pages 135-146, May.
    5. Dezhen Wang & Buwajian Abula & Aniu Jizuo & Jianhua Si & Kaiyang Zhong & Yujiao Zhou, 2022. "Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China," IJERPH, MDPI, vol. 19(6), pages 1-18, March.
    6. Helpman, Elhanan, 1984. "A Simple Theory of International Trade with Multinational Corporations," Journal of Political Economy, University of Chicago Press, vol. 92(3), pages 451-471, June.
    7. Portugal-Perez, Alberto & Wilson, John S., 2008. "Why trade facilitation matters to Africa ?," Policy Research Working Paper Series 4719, The World Bank.
    8. Hornok, Cecília & Koren, Miklós, 2015. "Administrative barriers to trade," Journal of International Economics, Elsevier, vol. 96(S1), pages 110-122.
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    1. Gaofeng Wang & Shuai Li & Zihao Zhang & Yanning Hou & Changhoon Shin, 2023. "A Visual Knowledge Map Analysis of Cross-Border Agri-Food Supply Chain Research Based on CiteSpace," Sustainability, MDPI, vol. 15(14), pages 1-28, July.

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