Study on the influence of factor flow on the spatial benefit of digital economy industry : A case study of Yangtze River Delta Region

doi:10.3969/j.issn.1004-9479.2026.02.20240740

World Regional Studies ›› 2026, Vol. 35 ›› Issue (2): 154-170.DOI: 10.3969/j.issn.1004-9479.2026.02.20240740

Study on the influence of factor flow on the spatial benefit of digital economy industry : A case study of Yangtze River Delta Region

Shengyi YANG¹^,²(), Xiao QIN¹^,²^,³(), Shanqi ZHANG¹^,²^,⁴, Yuanyuan XU¹^,², Yanyuan QI⁵

^1.School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
^2.Key Laboratory of Urban AI and Green Built Environment of Provincial Higher Education Institutes, Nanjing 210093, China
^3.Jiangsu Engineering Research Center of Smart City Planning and Digital Governance, Nanjing 210093, China
^4.Key Laboratory of Monitoring, Evaluation and Early Warning of Territorial Spatial Planning Implementation, Ministry of Natural Resources, Chongqing 401147, China
^5.Business School of Nanjing Normal University, Nanjing 210023, China

Received:2024-09-05 Revised:2025-01-25 Online:2026-02-15 Published:2026-02-27
Contact: Xiao QIN

要素流对数字经济产业空间效益的影响研究——以长三角地区为例

杨晟一¹^,²(), 秦萧¹^,²^,³(), 张姗琪¹^,²^,⁴, 许媛媛¹^,², 祁艳元⁵

^1.南京大学建筑与城市规划学院，南京 210093
^2.城市AI与绿色人居环境营造省高校重点实验室，南京 210093
^3.江苏省智慧城市规划与数字治理工程研究中心，南京 210093
^4.自然资源部国土空间规划监测评估预警重点实验室，重庆 401147
^5.南京师范大学商学院，南京 210023

通讯作者: 秦萧
作者简介:杨晟一（1999—），男，硕士，研究方向为大数据与智慧城市，E-mail： 522022360141@smail.nju.edu.cn。
基金资助:
国家自然科学基金面上项目(52078246);国家自然科学基金面上项目(52478060);自然资源部国土空间规划监测评估预警重点实验室开放课题（面向国土空间规划实施监测的数据融合技术研究）

Abstract

Abstract:

It is of great significance to clarify the influence of factor flow on industrial spatial efficiency of the digital economy for the optimization of industrial spatial layout in the information age. Existing studies primarily focused on the impact of the scale of factor inputs on a certain aspect of the spatial development of the digital economy industry, neglecting the analysis of spatial benefits and overlooking the pivotal role of factor mobility. Based on the central flow theory and considering both the scale and flow of factors, this paper, which utilized multi-source enterprise big data along with traditional small data, examined the digital economy industrial park in the Yangtze River Delta as a case study to explore, via regression modeling, the key factor flows and their mechanisms that influenced the spatial efficiency of the digital economy industry. The findings are as follows: ① There is a mismatch between the number and benefits of digital economy industrial parks in the Yangtze River Delta. The distribution density of digital economy industrial parks in many cities is high, however a large number of low-benefit parks also exist. ② Technology flow plays a decisive role, independent innovation ability and knowledge transfer can improve the spatial efficiency of the digital economy industry, and the higher the efficiency of the park, the more dependent on knowledge transfer. Capital flow plays a positive role in the middle and low benefit parks and a negative role in the high benefit parks. ③ Public transportation convenience, green space and accessibility, and district and county per capital GDP also have a certain effect on the improvement of industrial spatial efficiency of the park. Finally, the paper put forward some policy suggestions to enhance the spatial benefit of the digital economy industry from three aspects.

Key words: factor flow, digital economy industry, spatial benefit, influencing factors, Yangtze River delta region

摘要：

厘清要素流对数字经济产业空间效益的影响对信息时代的产业空间布局优化有重要意义。现有研究主要关注要素的规模投入对数字经济产业特定方面空间发展的影响，缺乏对空间效益的系统分析，忽视了要素流动的关键作用。文章基于中心流理论，从要素规模和流动两个维度出发，以长三角地区数字经济产业园为例，利用多源企业大数据和传统数据，通过回归模型探究影响数字经济产业空间效益的关键要素流及其作用机制。研究发现：①长三角地区存在数字经济产业园区数量与效益错配的问题，许多城市的数字经济产业园区分布密度虽较高，但仍存在大量的低效益园区；②技术流起主导作用，自主创新能力和知识转移均能提升数字经济产业空间效益，且效益越高的园区越依赖知识转移；资本流在中低效益园区起正向作用，在高效益园区中起负向作用；③公交便利度、绿化空间可达性和区县人均GDP对园区产业空间效益的提升也有一定作用。最后，文章从3个方面提出提升数字经济产业空间效益的政策建议。

关键词: 要素流, 数字经济产业, 空间效益, 影响因素, 长三角地区

Shengyi YANG, Xiao QIN, Shanqi ZHANG, Yuanyuan XU, Yanyuan QI. Study on the influence of factor flow on the spatial benefit of digital economy industry : A case study of Yangtze River Delta Region[J]. World Regional Studies, 2026, 35(2): 154-170.

杨晟一, 秦萧, 张姗琪, 许媛媛, 祁艳元. 要素流对数字经济产业空间效益的影响研究——以长三角地区为例[J]. 世界地理研究, 2026, 35(2): 154-170.

Figures/Tables 9

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数据集名称	来源	字段	时间	数据量/条
园区数据	前瞻产业园区库、百度地图	名称、地址	2023年10月	322
百度热力数据	百度地图	热力等级	2022年11月和2023年11月	322
企业数据	企查查	名称、地址、注册资本、经营规模、资本变更、专利发明	2023年11月	144万
POI数据	百度地图	名称、设施类型、地址	2022年11月	27万
专利转移数据	国家知识产权局	名称、申请人、法律状态	2022年5月	72万
路网数据	OSM	名称、类型	2023年5月	108万
GDP数据	统计年鉴	行政区、人均GDP	2023年	199
办公租金	点点租、安居客	名称、租金	2023年11月	322

数据集名称	来源	字段	时间	数据量/条
园区数据	前瞻产业园区库、百度地图	名称、地址	2023年10月	322
百度热力数据	百度地图	热力等级	2022年11月和2023年11月	322
企业数据	企查查	名称、地址、注册资本、经营规模、资本变更、专利发明	2023年11月	144万
POI数据	百度地图	名称、设施类型、地址	2022年11月	27万
专利转移数据	国家知识产权局	名称、申请人、法律状态	2022年5月	72万
路网数据	OSM	名称、类型	2023年5月	108万
GDP数据	统计年鉴	行政区、人均GDP	2023年	199
办公租金	点点租、安居客	名称、租金	2023年11月	322

指标维度	指标名称	指标含义	权重
空间效率	地均经济规模	地均数字经济企业经济规模总量/公顷	0.918 3
空间质量	企业存活率	存活三年以上的企业比例/%	0.081 7

指标维度	指标名称	指标含义	权重
空间效率	地均经济规模	地均数字经济企业经济规模总量/公顷	0.918 3
空间质量	企业存活率	存活三年以上的企业比例/%	0.081 7

行业名称	指标名称	单位	大型	中型	小型	微型
软件和信息技术服务业	从业人员(X)	人	X≥300	100≤X<300	10≤X<100	X<10
软件和信息技术服务业	营业收入(Y)	万元	Y≥10000	1000≤Y<10000	50≤Y<1000	Y<50

Study on the influence of factor flow on the spatial benefit of digital economy industry : A case study of Yangtze River Delta Region

要素流对数字经济产业空间效益的影响研究——以长三角地区为例

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一级变量	二级变量	变量描述	参考文献
技术流	技术流强度	单位面积上已授权的发表专利数量总和/（项/公顷）	席强敏等^[33]
	技术流变化	单位面积上转移、接收的专利数量总和/（项/公顷）	刘承良等^[34]
资本流	资本流强度	单位面积上注册资本/（亿元/公顷）	彭迪云等^[35]、白俊红等^[29]
资本流	资本流变化	单位面积上投资和注册资本变更次数/（次/公顷）	陈奉先等^[30]
劳动力流	劳动力流强度	月度日均工作时间到访人口数量/人	吴志强等^[36]、林勋媛等^[37]
劳动力流	劳动力流变化	年度日均工作时间到访人口数量差值	张艺川等^[31]、姚常成等^[38]
城市能级	区县人均GDP	所在区县人均GDP/万元	叶堂林等^[9]
区位条件	办公租金	园区办公租金均价/（元/m²/天）	甘金磊等^[39]
	路网密度	1km范围内的路网密度/（km/km²）	段吕晗等^[40]
	公交便利度	1km范围内的地铁、公交站点数量密度/（个/km²）	谢敏等^[32]
	商业可达性	3km范围内的大型商业中心密度/（个/km²）	余颖等^[41]
环境要素	绿化空间可达性	1km范围内的公园密度/（个/km²）	林娟等^[42]
生产服务	服务设施可达性	1km范围内的金融、保险、法律等专业服务企业密度/（个/km²）	刘婧等^[43]

变量名称	变量符号	（1）OLS	低效益	中效益	高效益
变量名称	变量符号	（1）OLS	（2）q=0.2	（3）q=0.5	（4）q=0.8
技术流强度	Pat_scale	0.149^***(5.749)	2.706^**(3.120)	2.125^***(3.706)	2.248^***(5.606)
技术流变化	Pat_trans	1.025^***(27.949)	3.209^***(17.306)	4.374^***(36.679)	7.391^***(86.209)
资本流变化	Cap_trans	-0.230^***(-6.095)	2.749^*(1.862)	2.569^**(2.632)	-2.800^***(-4.103)
劳动力流强度	Pop_scale	-0.035(-1.165)	6.480(0.228)	-14.982(-0.796)	-29.244(-2.223)
劳动力流变化	Pop_trans	-0.003(-0.112)	-19.903(-1.216)	-9.781(-0.904)	3.142(0.415)
办公租金	PRICE	-0.045(-1.109)	-22.701(-0.767)	-3.678(-0.188)	-3.920(-0.286)
路网密度	ROAD	0.004(0.157)	5.913(1.211)	2.711(0.840)	-0.571(0.253)
商业可达性	CBD	-0.013(-0.458)	-2.935(-0.096)	-12.796(-0.636)	9.914(0.705)
公交便利度	SUBWAY	0.075^*(1.819)	9.213^*(1.431)	4.518(1.187)	1.023(0.384)
绿化空间可达性	GREEN	0.079^**(2.777)	47.961(1.080)	32.662(1.114)	15.878^*(1.761)
服务设施可达性	FACILITY	-0.027(-0.899)	-10.013(-0.777)	-3.951(-0.464)	-2.686(-0.451)
区县人均GDP	GDP	-0.032(-1.147)	-0.004(-0.603)	-0.008^*(-1.775)	-0.009^**(-2.578)
拟合优度	调整后R²/伪R²	0.906	0.392	0.482	0.642
样本量	N	204	204	204	204

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变量名称	变量符号	（1）OLS	低效益	中效益	高效益
变量名称	变量符号	（1）OLS	（2）q=0.2	（3）q=0.5	（4）q=0.8
技术流强度	Pat_scale	0.138^***	2.296^***	1.822^***	2.405^***
技术流变化	Pat_trans	1.029^***	3.137^***	4.489^***	7.414^***
资本流变化	Cap_trans	-0.219^***	3.591^**	2.449^**	-3.412^***
劳动力流强度	Pop_scale	-0.030	17.664	-10.404	-36.105
劳动力流变化	Pop_trans	-0.008	-19.278	-14.192	4.754
基准地价	PRICE	-0.008	0.001	0.001	0.000
路网密度	ROAD	0.002	6.171	4.301	0.654
商业可达性	CBD	-0.011	3.195	-8.820	27.911^*
公交便利度	SUBWAY	0.039^*	4.130^*	-0.417	-1.495
绿化空间可达性	GREEN	0.009^***	7.511	36.611	-0.581
服务设施可达性	FACILITY	-0.882	-0.296	1.262	-3.688
区县GDP	GDP	-0.016	-1.842	-2.173	-1.676

变量名称	变量符号	（1）OLS	低效益	中效益	高效益
变量名称	变量符号	（1）OLS	（2）q=0.2	（3）q=0.5	（4）q=0.8
技术流强度	Pat_scale	0.138^***	2.296^***	1.822^***	2.405^***
技术流变化	Pat_trans	1.029^***	3.137^***	4.489^***	7.414^***
资本流变化	Cap_trans	-0.219^***	3.591^**	2.449^**	-3.412^***
劳动力流强度	Pop_scale	-0.030	17.664	-10.404	-36.105
劳动力流变化	Pop_trans	-0.008	-19.278	-14.192	4.754
基准地价	PRICE	-0.008	0.001	0.001	0.000
路网密度	ROAD	0.002	6.171	4.301	0.654
商业可达性	CBD	-0.011	3.195	-8.820	27.911^*
公交便利度	SUBWAY	0.039^*	4.130^*	-0.417	-1.495
绿化空间可达性	GREEN	0.009^***	7.511	36.611	-0.581
服务设施可达性	FACILITY	-0.882	-0.296	1.262	-3.688
区县GDP	GDP	-0.016	-1.842	-2.173	-1.676