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农产品上行与农村电商协同效应的时空演化及驱动因素以山东新旧动能转换试验区为例

The spatiotemporal evolution and driving factors of the synergy between agricultural product upgrading and rural E-commerce: a case study of Shandong pilot zone for the conversion of new and old kinetic energy

  • 摘要: 科学测度农产品上行与农村电商的协同效应,对深入推动农业领域新旧动能转换、促进农村经济高质量发展具有重要意义。本研究以山东新旧动能转换试验区为对象,采用耦合协调度模型与Markov链,系统分析两者耦合关系的特征及演进趋势;同时运用地理探测器和时空地理加权回归(GTWR)模型,探究驱动因素对耦合协调度的时空异质性影响。结果表明:1)2017—2022年,试验区内两者发展两极分化显著,协同效应时序上呈“上升-下降-上升”特征,空间上契合“一群二心三圈”区域发展格局;2)协同效应状态稳定性强,省会经济圈与胶东经济圈为“活跃区”,鲁南经济圈为“低迷区”,且聊城、德州等8市存在向严重失调衰退的“疲态发展”风险;3)数字基础设施是影响协同效应的主导因素,创新投入为核心驱动引擎,而高端服务业呈负向影响,揭示其供给结构与农业数字化转型需求存在结构性错配。基于此:建议发挥青岛、济南辐射带动作用;补齐聊城、德州等市短板;培育东营、枣庄等市特色新动能,以提升两者协同发展水平。

     

    Abstract: Scientifically measuring the synergy between agricultural product upgrading and rural E-commerce is of great significance for deeply promoting the conversion of new and old kinetic energy in the agricultural sector and advancing high-quality rural economic development. Taking the Shandong Pilot Zone for the Conversion of New and Old Kinetic Energy as the research object, this study employs a coupling coordination degree model and Markov chains to systematically analyze the characteristics and evolutionary trends of the coupling relationship between the two; Meanwhile, it uses the geodetector and geographically and temporally weighted regression (GTWR) model to explore the spatiotemporal heterogeneous impact of the driving factors on the coupling coordination degree. Results show that: 1) from 2017 to 2022, there was a significant polarization in the development of the two within the pilot zone; the synergy showed a “rise–decline–rise” trend in the temporal dimension and conformed to the regional development pattern of “one cluster, two cores, and three circles” in the spatial dimension; 2) the state of synergy was highly stable: the provincial capital economic circle and the Jiaodong economic circle were “active zones”, while the southern Shandong economic circle was a “depressed zone”; moreover, eight cities including Liaocheng and Dezhou faced the risk of “fatigued development” that might regress into severe disorder; 3) digital infrastructure was the dominant factor affecting the synergy, innovation input served as the core driving engine, while the high-end service industry exerted a negative impact, revealing a structural mismatch between its supply structure and the demand for agricultural digital transformation. Based on this, it is recommended to leverage the radiating and driving effects of Qingdao and Jinan, make up for the shortcomings of cities such as Liaocheng and Dezhou, and cultivate characteristic new kinetic energy in cities such as Dongying and Zaozhuang, so as to improve the coordinated development level of the two.

     

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