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物流业和制造业融合发展对全要素生产率的影响

Research on the Impact of the Integration of Logistics and Manufacturing on Total Factor Productivity

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基于 2006-2020 年的省际面板数据,使用耦合协调度模型测算我国物流业和制造业的融合发展水平.研究发现:我国各省份物流业和制造业融合发展度逐步上升,总体上处于低水平向高水平过渡的协调阶段.(1)省际之间物流业与制造业融合水平存在差异,其中浙江、江苏、山东和广东的融合发展水平最高,中部和西部省份融合发展水平提高较快,吉林、黑龙江和辽宁三省则有退步.(2)使用固定效应模型检验两业融合发展对全要素生产率的影响,发现两业融合发展度的提高能够促进区域全要素生产率的提升,该结论在利用IV-GMM和IV-LIML等模型估计下依旧显著.(3)两业融合发展度的提高一方面可以推动全要素生产率边界的扩大,另一方面有利于实际效率趋近最优效率.
Based on the provincial panel data from 2006 to 2020,this paper uses the coupling coordination degree model to measure the integrated development level of the logistics industry and manufacturing industry.It has been found that the degree of integration and development of the two industries in various provinces of China is gradually increasing,and the overall integration and development of China's logistics and manufacturing industries are in a coordinated stage of transition from a low level to a high level.(1)Differences exist in the integration of logistics and manufacturing industries between provinces,with Zhejiang,Jiangsu,Shandong,and Guangdong having the highest level of integration development.Central and western provinces have improved rapidly,while Jilin,Heilongjiang,and Liaoning provinces have regressed.(2)Using fixed effects to test the impact of the degree of integration of two industries on changes in total factor productivity,it was found that the improvement of the degree of integration of two industries can promote the improvement of regional total factor productivity.This conclusion is still significant under models such as IV-GMM and IV-LIML.(3)The improvement of the degree of integration and development of the two industries can promote the rise of the total factor productivity boundary as well as be conducive to bringing actual efficiency closer to optimal efficiency.

logistics industriesmanufacturing industriescoupling coordination modelindustrial collaborative agglomerationtotal factor productivity

杨丹萍、易子涵

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宁波大学中东欧经贸合作研究院

物流业 制造业 耦合协调模型 产业协同集聚 全要素生产率

国家自然科学基金面上项目国家社科基金一般项目

7187307321BJL077

2024

宁波大学学报(人文科学版)
宁波大学

宁波大学学报(人文科学版)

CHSSCD
影响因子:0.308
ISSN:1001-5124
年,卷(期):2024.37(1)
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