World Regional Studies ›› 2025, Vol. 34 ›› Issue (6): 95-107.DOI: 10.3969/j.issn.1004-9479.2025.06.20240140
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Fan WANG1,2(), Mingfeng WANG3,4(
), Juan LIN5, Yinghao ZHANG6, Aiping KUANG3,4
Received:
2024-03-11
Revised:
2024-07-03
Online:
2025-06-15
Published:
2025-07-11
Contact:
Mingfeng WANG
汪凡1,2(), 汪明峰3,4(
), 林娟5, 张英浩6, 匡爱平3,4
通讯作者:
汪明峰
作者简介:
汪凡(1992—),男,博士,讲师,硕导,研究方向为互联网地理,E-mail:xywangfan@163.com。
基金资助:
Fan WANG, Mingfeng WANG, Juan LIN, Yinghao ZHANG, Aiping KUANG. Analysis of supply chain collaboration and its influence mechanism on rural e-commerce development: The case of Yangtze River Delta region[J]. World Regional Studies, 2025, 34(6): 95-107.
汪凡, 汪明峰, 林娟, 张英浩, 匡爱平. 供应链协同水平及其对农村电商发展的影响机制分析[J]. 世界地理研究, 2025, 34(6): 95-107.
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URL: https://sjdlyj.ecnu.edu.cn/EN/10.3969/j.issn.1004-9479.2025.06.20240140
变量 | 表征数据 |
---|---|
生产环节 | 区县轻工制造业企业数量 |
批发环节 | 区县小商品批发市场数量 |
物流环节 | 地级市尺度乡村电商配送点比重 |
供应链协同 | 3个环节的耦合协调度 |
政策 | 区县内电商产业园、电商孵化园、电商创业园数量 |
信息通讯 | 区县内电信、移动、联通3类通信营业厅数量 |
人口 | 区县人口总量 |
GDP | 区县经济总量 |
道路 | 区县内国道、省道与高速公路长度 |
Tab.1 Description of variables and indicators
变量 | 表征数据 |
---|---|
生产环节 | 区县轻工制造业企业数量 |
批发环节 | 区县小商品批发市场数量 |
物流环节 | 地级市尺度乡村电商配送点比重 |
供应链协同 | 3个环节的耦合协调度 |
政策 | 区县内电商产业园、电商孵化园、电商创业园数量 |
信息通讯 | 区县内电信、移动、联通3类通信营业厅数量 |
人口 | 区县人口总量 |
GDP | 区县经济总量 |
道路 | 区县内国道、省道与高速公路长度 |
变量 | 模型1 | 模型2 | 模型3 | 模型4 | 模型5 |
---|---|---|---|---|---|
常数项 | -7.227 6(0.819) | -15.467 5***(0.000) | -3.210 5(0.381) | -6.234 8(0.141) | 0.536 5(0.870) |
GDP | -1.766 2(0.522) | 0.313 5(0.241) | 0.056 1(0.877) | 0.261 4(0.510) | -0.322 8(0.292) |
人口 | 4.919 5(0.184) | -0.535 6*(0.077) | 0.332 3(0.424) | 0.312 3(0.461) | 0.272 2(0.454) |
交通 | 1.308 5(0.495) | 0.261 8*(0.052) | -0.052 0(0.761) | -0.102 4(0.559) | 0.043 9(0.792) |
信息通讯 | 3.426 1(0.289) | -0.352 8(0.109) | 0.874 4***(0.004) | 0.815 2**(0.012) | 0.764 0**(0.011) |
政策 | 8.382 6***(0.000) | 0.589 1***(0.000) | 0.605 1***(0.001) | 0.644 1(0.2976) | 0.574 2***(0.001) |
生产环节 | 1.662 4***(0.000) | ||||
批发环节 | 0.363 4(0.206) | ||||
物流环节 | 0.963 3(0.397) | ||||
供应链协同 | 10.270 6***(0.000) | ||||
N | 307 | 307 | 307 | 307 | 307 |
Zero obs | 150 | 150 | 150 | 150 | 150 |
R2 | 0.121 | ||||
Log pseudolikelihood | -689.874 6 | -763.415 6 | -763.746 5 | -746.552 7 | |
Wald chi2 | 222.15 | 98.76 | 107.21 | 112.96 | |
P值 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Tab.2 Results of regression
变量 | 模型1 | 模型2 | 模型3 | 模型4 | 模型5 |
---|---|---|---|---|---|
常数项 | -7.227 6(0.819) | -15.467 5***(0.000) | -3.210 5(0.381) | -6.234 8(0.141) | 0.536 5(0.870) |
GDP | -1.766 2(0.522) | 0.313 5(0.241) | 0.056 1(0.877) | 0.261 4(0.510) | -0.322 8(0.292) |
人口 | 4.919 5(0.184) | -0.535 6*(0.077) | 0.332 3(0.424) | 0.312 3(0.461) | 0.272 2(0.454) |
交通 | 1.308 5(0.495) | 0.261 8*(0.052) | -0.052 0(0.761) | -0.102 4(0.559) | 0.043 9(0.792) |
信息通讯 | 3.426 1(0.289) | -0.352 8(0.109) | 0.874 4***(0.004) | 0.815 2**(0.012) | 0.764 0**(0.011) |
政策 | 8.382 6***(0.000) | 0.589 1***(0.000) | 0.605 1***(0.001) | 0.644 1(0.2976) | 0.574 2***(0.001) |
生产环节 | 1.662 4***(0.000) | ||||
批发环节 | 0.363 4(0.206) | ||||
物流环节 | 0.963 3(0.397) | ||||
供应链协同 | 10.270 6***(0.000) | ||||
N | 307 | 307 | 307 | 307 | 307 |
Zero obs | 150 | 150 | 150 | 150 | 150 |
R2 | 0.121 | ||||
Log pseudolikelihood | -689.874 6 | -763.415 6 | -763.746 5 | -746.552 7 | |
Wald chi2 | 222.15 | 98.76 | 107.21 | 112.96 | |
P值 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
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