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(1)数据来源于瞪羚企业统计官网，https://www.chinagazelle.cn/data/statistic/index。

(2)例如《国家高新区瞪羚企业发展报告2019》《淄博高新区高成长企业发展报告》以及《2019光谷瞪羚企业发展报告》等。

(1)本文数据检验涉及到的2517家上市企业中，有236家上市企业存在迁址（共1494个观测值），占所有上市企业的9.37%（占所有观测值的7.47%）。为缓解企业和城市层面不可观测的其他因素对数据结果可能带来的影响，本文同时纳入企业和城市两个层面的固定效应。

(1)专利引用和被引用数据来源于对Google Patent的挖掘，本文获取了每一个专利引用及被引用的专利编号、年份、申请和授权日期等详细信息，以此能够统计出瞪羚企业所申请的专利是否被上市企业引用以及引用的数量，详见后文数据来源与样本选取部分。

(2)瞪羚企业统计官网，https://www.chinagazelle.cn/data/statistic/index。

(1)因篇幅所限，描述性统计结果以附表1展示，见《统计研究》网站所列附件。下同。

(1)因篇幅所限，上市企业周边是否有瞪羚企业动态检验结果以附图1展示。

(2)为了表格的简洁美观，除了基准检验保留Km_10、Km_10_30、Km_30_60、Km_60_100外，后续各表均使用Km_N表示，即不同列的Km_N分别对应Km_10、Km_10_30、Km_30_60、Km_60_100的数据结果。如需要，可以提供包括控制变量的详细回归结果。

(1)由于10km以内的瞪羚企业数量的数据结果与基准检验结果保持一致，不再重复汇报。

(1)从基准检验结果（表3）中可以看出，周边瞪羚企业数量对上市企业创新的影响主要体现在60km以内，因此异质性检验中不再汇报60 km以外的分组检验结果，因而分组检验剩余三组。同时，各表中Km_N分别表示10km以内、10~30km、30~60Km的瞪羚企业数量。下同。

(1)因篇幅所限，异质性检验结果以附表2~4展示。