National E-commerce Demonstration Base and Corporate Collaborative Innovation

Abstract

Abstract: Accelerating the development of e-commerce is an important direction for promoting high-quality economic growth. Based on the data of Chinese A-share listed companies from 2007 to 2023, this paper explores the impact of national e-commerce demonstration bases on enterprise collaborative innovation. The results show that the establishment of national e-commerce demonstration bases promotes enterprise collaborative innovation. Mechanism tests reveal that the positive effect of national e-commerce demonstration bases on enterprise collaborative innovation is achieved by accelerating industrial agglomeration, enhancing enterprise cooperation willingness, and leveraging technological advantages, which is in line with the original intention of the state in designating e-commerce demonstration bases. The extended tests indicate that when an enterprise is located in a region with a better business environment and is categorized as a high-tech or state-owned enterprise, the enhancing effect of the national e-commerce demonstration bases on its collaborative innovation is notably stronger. In addition, the economic consequence tests show that e-commerce demonstration bases help enterprises improve total factor productivity and operational performance. Therefore, the government should continuously strengthen the establishment and creation of e-commerce demonstration bases, enhance the radiation and driving effect of e-commerce platforms on regional development, and improve the level of collaborative innovation of local enterprises.

Key words: e-commerce demonstration bases, collaborative innovation, industrial agglomeration, collaborative intent, digital technology advantages

CLC Number:

F273.1

Xu Chen-xi, Zhao Wen-jing, He Hong. National E-commerce Demonstration Base and Corporate Collaborative Innovation[J]. Contemporary Finance & Economics, 2026, 0(8): 138-150.

References

[1] 曹清峰. 国家大数据综合试验区设立对企业跨区域合作创新的影响研究[J]. 当代财经, 2025, (6): 112-124.
[2] 曹希广, 邓敏. 电子商务政策与企业家创业精神[J]. 世界经济, 2024, (4): 31-64.
[3] 谷方杰, 汪梦玉, 张文锋. 混合所有制改革对企业创新投入影响的实证研究[J]. 中国软科学, 2024, (4): 214-224.
[4] 郭巧哲, 姚能志, 姚阳阳. 先进制造业集聚能否促进关键核心技术突破[J]. 山西财经大学学报, 2025, (7): 87-101.
[5] 洪银兴, 任保平. 数字经济与实体经济深度融合的内涵和途径[J]. 中国工业经济, 2023, (2): 5-16.
[6] 黄宏斌, 梁慧丽, 李圆圆. 完善社会信用环境促进了企业协同创新吗?——基于社会信用体系建设试点城市的准自然实验研究[J]. 中南大学学报 (社会科学版), 2024, (5): 160-172.
[7] 李聪, 郑亚洁, 孔东民. 以数“聚”力:数据要素共享与企业社保缴费遵从[J]. 江西财经大学学报, 2025, (5): 47-60.
[8] 李小平, 余娟娟, 余东升, 等. 跨境电商与企业出口产品转换[J]. 经济研究, 2023, (1): 124-140.
[9] 林伟芬, 胡耀, 何骏. 电子商务发展对城市创业活跃度的影响[J]. 中国人口科学, 2023, (5): 82-96.
[10] 刘乃全, 邓敏, 曹希广. 城市的电商化转型推动了绿色高质量发展吗?——基于国家电子商务示范城市建设的准自然实验[J]. 财经研究, 2021, (4): 49-63.
[11] 柳卸林, 葛爽. 创新生态系统中企业的价值共创共享与新兴产业竞争优势形成——以中国光伏产业发展为例[J]. 中国工业经济, 2025, (6): 140-158.
[12] 逯进, 刘强, 苏妍. 金融空间分布与企业成本竞争优势——成本弹性视角[J]. 管理学刊, 2025, (2): 28-44.
[13] 马述忠, 房超. 跨境电商与中国出口新增长——基于信息成本和规模经济的双重视角[J]. 经济研究, 2021, (6): 159-176.
[14] 牛志伟, 许晨曦, 武瑛. 营商环境优化、人力资本效应与企业劳动生产率[J]. 管理世界, 2023, (2): 83-100.
[15] 师磊, 阳镇, 钱贵明. 数字产业集群政策与关键核心技术突破式创新[J]. 中国工业经济, 2025, (1): 100-117.
[16] 谭雅妃, 朱朝晖, 李敏鑫. 数字化转型赋能制造业企业高质量发展——基于经济绩效与ESG绩效复合视角[J]. 江西财经大学学报, 2024, (4): 45-58.
[17] 王宝顺, 谢立成. 电子商务发展与增值税地区间分配[J]. 经济学动态, 2024, (9): 76-93.
[18] 王昶, 何琪, 耿红军, 等. 关键核心技术国产替代的逻辑、驱动因素与实现路径[J]. 经济学家, 2022, (3): 99-108.
[19] 王奇, 李涵, 赵国昌, 等. 农村电子商务服务点、贸易成本与家庭网络消费[J]. 财贸经济, 2022, (6): 128-143.
[20] 王奇, 牛耕, 赵国昌. 电子商务发展与乡村振兴: 中国经验[J]. 世界经济, 2021, (12): 55-75.
[21] 王展祥, 魏琳. 信息共享有利于制造业企业的协同创新吗——基于中国企业营商环境调查数据的实证分析[J]. 当代财经, 2019, (10): 95-106.
[22] 吴松强, 黄盼盼, 蔡文洁, 等. 知识溢出与先进制造业集群成长——企业创新关联的中介效应研究[J].科学学研究, 2022, (3): 516-524.
[23] 许晨曦, 赵文静, 张敏, 等. 企业“吹哨人”制度与技术创新——人力资本效应视角[J]. 经济管理, 2024, (6): 81-100.
[24] 易先忠, 潘锐. 产业数字化对本土需求引致创新的强化效应——科技强国建设的优势途径[J]. 财贸经济, 2023, (11): 137-153.
[25] 岳云嵩, 李兵. 电子商务平台应用与中国制造业企业出口绩效——基于“阿里巴巴”大数据的经验研究[J]. 中国工业经济, 2018, (8): 97-115.
[26] 曾艺, 周小昶, 冯晨. 税收中性与产业链重塑: 基于企业专业化视角[J]. 世界经济, 2024, (6): 124-148.
[27] 张乾, 葛国庆, 薛健. 数字经济促进了企业避税吗——基于电子商务示范城市创建的准自然实验[J]. 会计研究, 2022, (4): 71-88.
[28] 周驷华, 万国华. 电子商务对制造企业供应链绩效的影响: 基于信息整合视角的实证研究[J]. 管理评论, 2017, (1): 199-210.
[29] Gloor P A, Paasivaara M, Schoder D, et al.Finding collaborative innovation networks through correlating performance with social network structure[J]. International Journal of Production Research, 2008, 46(5): 1357-1371.
[30] Hainmueller J.Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies[J]. Political Analysis, 2012, 20(1): 25-46.
[31] Khanna T, Palepu K.Why focused strategies may be wrong for emerging markets[J]. Harvard Business Review, 1997, 75(4): 41-51.
[32] Marshall A.Principles of economics[M]. London: Macmillan, 1890.
[33] Parker G,Van Alstyne M.Innovation, openness, and platform control[J]. Management Science, 2018, 64(7): 3015-3032.
[34] Romer P M.Endogenous technological change[J]. Journal of Political Economy. 1990, 98: S71-S102.
[35] Serrano V, Fischer T.Collaborative innovation in ubiquitous systems[J]. Journal of Intelligent Manufacturing. 2007, 18(5): 599-615.
[36] Zhu K.Information transparency of business-to-business electronic markets: A game-theoretic analysis[J]. Management Science, 2004, 50(5): 670-685.