Abstract:This paper utilizes national input-output table data and employs the input-output method to construct an industrial positioning evaluation index system that includes eight indicators: the number of pulling industries, the number of pushing industries, the degree of industry-economy correlation, pulling capability, pushing capability, position in the industrial chain, economic contribution, and employment contribution. It proposes a correlation coefficient for determining the interaction intensity between the logistics industry and other sectors, clarifying the industrial positioning of the logistics sector within the national economy. The study shows that the logistics industry is the foundational industry, with its main costs stemming from the financial sector and the fuel processing industry, primarily serving the construction and chemical manufacturing industries. The paper suggests that in formulating logistics development plans, it is necessary to strengthen the forward pushing capability of the logistics industry and reduce the role of its backward pulling effect; when introducing logistics development policies, focus should be placed on promoting cost reduction and efficiency enhancement in main cost sources.
陈斌, 庞力文, 代聪. 中国物流业在国民经济中的产业定位分析[J]. 北京交通大学学报(社会科学版), 2024, 23(3): 105-113.
CHEN Bin, PANG Li-wen, DAI Cong. Analysis of the Industrial Positioning of China’s Logistics Industry in the National Economy. journal6, 2024, 23(3): 105-113.
1 苏东水. 产业经济学[M]. 北京:高等教育出版社,2001. 2 国务院关于印发物流业调整和振兴规划的通知[EB/OL]. (2009-03-13)[2023-12-05]. https://www.gov.cn/zwgk/2009-03/13/content_1259194.htm. 3 国务院办公厅关于印发“十四五”现代物流发展规划的通知[EB/OL]. (2022-05-17)[2023-12-05]. https://www.gov.cn/zhengce/content/2022-12/15/content_5732092.htm. 4 LEONTIEF W W. Leontief. The Structure of American Economy, 1919—1939: An Empirical Application of Equilibrium Analysis (2rd ed)[M]. New York: Oxford University Press, 1951. 5 HIRSCHMAN A O. The Strategy of Economic Development[M].New Haven: Yale University Press,1958. 6 张海华,姜明辉,王雅林. 黑龙江省主导产业选择研究[J]. 哈尔滨工程大学学报,2008,29(12). 7 郭本海,方志耕,俞斌,等. 基于能效视角的主导产业选择多参量GERT网络模型[J]. 系统工程理论与实践,2011,31(5). 8 严春晓,刘景芝,李含悦,等. 基于改进关联方法的河北省农产品加工主导产业选择[J]. 农业工程学报,2018,34(11):268-277. 9 牛方曲,封志明,刘慧. 资源环境承载力综合评价方法在西藏产业结构调整中的应用[J]. 地理学报,2019,74(8). 10 艾明晔,于小涵.资源型省份的主导产业与工业化发展——以黑龙江省为例[J]. 哈尔滨工程大学学报,2021,42(4):595-600. 11 张红,毕志军,于安淼.基于投入产出法的中国房地产业定位[J].清华大学学报(自然科学版),2023,63(2):153-159. 12 张浩,尤建新. 面向生产过程的物流业两阶段效率评价模型[J]. 同济大学学报(自然科学版),2021,49(4). 13 KIM Y J, LEE S G, TRIMI S . Industrial linkage and spillover effects of the logistics service industry: an input-output analysis[J]. Service Business, 2021, 15(2). 14 牟晓霞,黄坚. 京津冀地区流通产业关联分析[J]. 商业经济研究,2022,(5):166-169. 15 韩嵩,周丽. 全球供应链视角下中国物流业国际空间关联测度与分析[J]. 中国流通经济,2020,34(8):27-36. 16 陈治亚,周于轶. 基于POI的物流业空间集聚特征分析——以浙江省为例[J]. 铁道科学与工程学报,2022,19(10). 17 邓淑芬,朱佳翔,钟昌宝. 长三角城市群物流业产业空间关联格局演变——基于聚类、探索性空间数据和σ收敛性的分析[J]. 商业经济研究,2018,(20):96-99. 18 岳云康,焦利芹,高平堂. 山西物流与经济灰色关联分析[J]. 经济问题,2017,(7):121-124. 19 韩东亚,刘宏伟. 我国物流业技术效率及影响因素——来自上市公司的实证研究[J]. 中国流通经济,2019,33(11):17-26. 20 杨慧瀛,杨宏举. 我国物流业信息化水平测度及区域差异[J]. 商业经济研究,2021,(13):98-102. 21 吴彪,邱绍浪,汪凯,等. 市域尺度下区域物流业发展水平时空演化分析[J]. 铁道科学与工程学报,2021,18(2). 22 陈恒,苏航,魏修建. 我国物流业非均衡发展态势及协调发展路径[J]. 数量经济技术经济研究,2019,36(7):81-98. 23 GHOSH A. Input-Output Approach in an Allocation System[J]. Economica(New Series),1958,25:58-64. 24 DIETZENBACHER E, ROMERO I. Production Chains in an Interregional Framework: Identification by Means of Average Propagation Lengths[J]. International Regional Science Review, 2007, 30(4). 25 ANTRàS P, CHOR D, FALLY T, et al. Measuring the upstreamness of production and trade flows[J]. American Economic Review, 2012, 102(3).