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Kun Lv

3 papers indexed

crossrefSustainability2026-07-18

Digital Government Development, Regional E-Commerce Ecosystem Competitiveness, and the Sustainable Energy Transition: Causal Inference Based on Spatial DID and Double Machine Learning

Yi Wang, Waya Zhao, Wenli Ye, Luyan Zhou, Kun Lv

The systemic shift in the energy consumption structure from high-carbon fossil fuels to low-carbon clean energy constitutes a critical pathway toward global climate governance and carbon neutrality. However, this sustainable transition is consistently impeded by deep-seated insti…

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crossrefInformation2025-07-06Cited by 1

Digital Empowerment, Novel Productive Forces, and Regional Green Innovation Efficiency: Causal Inference Based on Spatial Difference-in-Differences and Double Machine Learning Approaches

Qi Liu, Siyu Liu, Tianning Guan, Luhan Yu, Zemenghong Bao, Yuzhu Wen, et al.

Amidst the dual challenges of escalating ecological environmental pressures and economic transformation globally, green innovation emerges as a pivotal pathway toward achieving high-quality sustainable development. To elucidate how digitalization and novel productive forces syner…

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crossrefSustainability2025-05-28Cited by 4

Digital Government Construction, Bidirectional Interaction Between Technological and Spiritual Civilization, and Achieving Dual Control of Sustainable Energy: Causal Inference Using Spatial DID and Dual Machine Learning

Xinle Zheng, Linrong Yu, Qi Liu, Rui Xu, Junyan Tang, Xinyuan Yu, et al.

This study aims to elucidate the mechanisms through which digital government construction influences regional dual control of energy consumption (encompassing both the total volume and intensity of energy use), with a particular emphasis on exploring its indirect effects mediated…

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