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| Development of Big Data,Innovation Ecology, and Quality of Enterprise Technological Innovation ——Quasi Natural Experiments Based on National Big Data Comprehensive Experimental Zones |
| Chen Dan1, Ren Xiaogang2, Xie Xianjun3 |
1. Hainan Province Social Governance Innovation and Talent Training Research Base;Haikou 570100,China;
2. Beijing Academy of Science and Technology,Beijing 100089,China;
3. School of Government Management,Peking University,Beijing100871,China |
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Abstract This article empirically tests the impact,mechanism,heterogeneity,and moderating effect of big data development on the quality of enterprise technological innovation based on quasi natural experiments in national big data pilot zones.Research has shown that the development of big data has a significant impact on improving the quality of enterprise technological innovation.The development of big data brings about higher information transmission effects,increased R&D cooperation,lower financing constraints,increased technological innovation risk investment,and higher innovation factor clustering effects,promoting talent factor clustering,technology factor clustering,capital factor clustering,and data factor clustering,thereby promoting the optimization of innovation ecology and significantly improving the quality of enterprise technological innovation.The impact of big data development on the quality of enterprise technological innovation varies across different enterprise lifecycles.The improvement effect is significant in the growth and maturity stages of the enterprise,but not significant in the recession stage.The effect of big data development on improving the qualityof enterprise technological innovation is relatively stronger inareas with higher optimizationof the innovation ecosystem due to the strengthening effectof innovation policies, while inareas with lower optimizationof the innovation ecosystem, its improvement effect is relatively weaker due to the strengthening effect of innovation policies.
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Received: 18 October 2023
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2024, Vol. 5 
