An intercity investment network dataset of China based on the enterprise registration records (2000-2020)

Here, we introduce an intercity investment network (IIN) dataset for China, covering the period from 2000 to 2020, based on 17,273,411 pieces of large-scale enterprise registration records. The dataset represents 367 cities as nodes, with investment frequency between cities serving as edge weights to construct both directed and undirected networks. It captures the spatiotemporal patterns of China's IIN, highlighting dynamic changes in economic connectivity over time and space. The data aligns closely with urban networks formed by China's population mobility and the economic gravity model, is consistent with official records and existing research findings, and satisfies the distance decay effect, thus validating its scientific reliability. This dataset provides unique opportunities for exploring economic interactions and functional organization between cities, and advancing urban network research in China.

本研究介绍一套中国城市间投资网络（Intercity Investment Network，IIN）数据集，时间跨度为2000年至2020年，数据基于17273411条大规模企业登记注册记录构建。该数据集以367座城市作为网络节点，以城市间投资频次作为边权重，分别构建有向与无向两类网络。该数据集刻画了中国城市间投资网络的时空格局，凸显了经济联系在时空维度上的动态演变特征。本数据集与中国人口流动形成的城市网络、经济引力模型的模拟结果高度契合，同时与官方统计资料及既有研究结论保持一致，且符合距离衰减效应，由此验证了其科学可靠性。本数据集为探究城市间的经济互动与功能组织关系、推动中国城市网络领域的研究提供了独特契机。

搜集汇总

背景与挑战

背景概述

该数据集是基于大规模企业注册记录构建的中国城际投资网络数据集（2000-2020），涵盖367个城市，通过投资频率构建有向和无向网络，揭示了中国经济连接的时空动态变化，具有高度的科学可靠性。