首页|农产品冷链物流效率评价及投入冗余比较——基于2014-2021年中国30个省市的数据研究

农产品冷链物流效率评价及投入冗余比较——基于2014-2021年中国30个省市的数据研究

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在国家提出《"十四五"冷链物流发展规划》的背景下,中国冷链物流行业的运行效率亟待提高、资源整合效率亟待改善。基于柯布—道格拉斯生产函数确立投入、产出指标,运用DEA的CCR、BCC和Malmquist模型对2014-2021年中国30个省市(不含西藏)的农产品冷链物流效率及各年变动情况进行测算,并进一步比较了30个省市的资源投入冗余。研究结果表明,农产品冷链物流完全有效的地区数量呈现增多趋势,但仍然远不及全国的一半,各省市的全要素生产率提高主要基于技术进步,且只有12个省市属于零投入冗余地区。当前,国家仍需完善冷链物流的技术研发和规模管理政策,各省市则应根据本地冷链物流发展的具体情况实施具有当地特色的管理政策。
Efficiency Evaluation and Input Redundancy Comparison of Cold Chain Logistics for Agricultural Products—Research Based on Data from 30 Provinces and Cities in China from 2014 to 2021
Against the backdrop of"Development Plan of Cold Chain Logistics in the 14th Five-Year Plan",the operational efficiency and resource integration of China's cold chain logistics industry urgently need to be improved.Based on the Cobb Douglas production function,the input and output indicators are established,and the CCA,BCC and Malmquist models of DEA are used to calculate the agricultural cold chain logistics efficiency and annual changes of 30 provinces and cities(excluding Tibet)in China from 2014 to 2021,and further compare the resource input redundancy of 30 provinces and cities.Research shows that the number of regions with fully effective cold chain logistics for agricultural products is increasing,but still far less than half of the national total.The improvement of total factor productivity in various provinces and cities is mainly based on technological progress,and only 12 provinces and cities belong to zero input redundancy areas.At present,the country still needs to improve the technology research and development and scale management policies of cold chain logistics,and each province and city should implement management policies with local characteristics according to the specific situation of local cold chain logistics development.

Agricultral productsCold chain logistics efficiencyDEAMalmquist indexInput redundancy analysis

黄桂媛、许萱、张华

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北部湾大学经济管理学院,广西 钦州 535011

北部湾大学钦州发展研究院,广西 钦州 535011

北部湾大学图书馆,广西 钦州 535011

农产品 冷链物流效率 DEA Malmquist指数 投入冗余分析

2024

经济研究导刊
黑龙江省报刊出版中心

经济研究导刊

CHSSCD
影响因子:0.313
ISSN:1673-291X
年,卷(期):2024.(22)