Exploring the Effect of Integration Development of Digital Intelligence on Green Technology Innovation Quantity and Quality
Jianxuan Li,
Haochang Yang (),
Shiquan Zhong and
Yue Zhong
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Jianxuan Li: School of Economics and Finance, Hohai University, Nanjing 210024, China
Haochang Yang: School of Economics & Management, Nanchang University, Nanchang 330031, China
Shiquan Zhong: School of Economics & Management, Nanchang University, Nanchang 330031, China
Yue Zhong: School of Economics & Management, Nanchang University, Nanchang 330031, China
Sustainability, 2025, vol. 17, issue 10, 1-40
Abstract:
Based on data from 30 provinces in China from 2013 to 2022, this paper employs the Spatial Durbin Model to analyze the effect of integration development of digital intelligence on the quantity and quality of green technology innovation and its regional heterogeneity. The moderating effects of degree of nationalization and green purchasing are further explored. The results show the following: (1) The integration development of digital intelligence can not only increase the quantity of green technology innovation, but also significantly improve the quality of green technology innovation. Meanwhile, the integration development of digital intelligence has a negative spatial spillover effect on the quantity and quality of green technology innovation in neighboring regions. (2) There is significant regional heterogeneity in the improvement effect of digital intelligence integration development on the quantity and quality of green technology innovation and its spatial spillover effect. Moreover, the integration development of digital intelligence realizes the “quantity increase and quality improvement” of green technology innovation mainly by generating a resource allocation effect, scale economy effect and technology promotion effect. (3) Degree of nationalization negatively moderates the impact of integration development of digital intelligence on the quantity and quality of green technology innovation, while green purchasing positively moderates the impact of integration development of digital intelligence on the quantity and quality of green technology innovation, both of which have significant spatial spillover effects.
Keywords: digital intelligence integration development; green technology innovation; quantity increase; quality improvement; spatial Durbin model (SDM); moderating effect (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:10:p:4339-:d:1653338
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