The spatial spillover effect of carbon emission trading scheme on green innovation in China’s cities DOI

Jingru Xu,

Xiangjing Tong, Baochen Yang

и другие.

The Annals of Regional Science, Год журнала: 2024, Номер 73(2), С. 639 - 669

Опубликована: Июнь 20, 2024

Язык: Английский

The service trade with AI and energy efficiency: Multiplier effect of the digital economy in a green city by using quantum computation based on QUBO modeling DOI
Da Huo,

Wenjia Gu,

Dongmei Guo

и другие.

Energy Economics, Год журнала: 2024, Номер 140, С. 107976 - 107976

Опубликована: Ноя. 2, 2024

Язык: Английский

Процитировано

2

Energy consumption transition and green total factor productivity in Chinese prefecture-level cities DOI
Shihong Zeng,

Yuxiao Gu,

Bin Su

и другие.

Energy Economics, Год журнала: 2024, Номер unknown, С. 108156 - 108156

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

2

The Influence of New Energy Industry Agglomeration on Regional Green Innovation Performance—Evidence from China DOI Open Access

Jingui Yue,

Heying Duan

Sustainability, Год журнала: 2024, Номер 16(5), С. 2029 - 2029

Опубликована: Фев. 29, 2024

The advance of the new energy industry and promotion green innovation are both important ways to solve environmental pollution achieve economic transformation, there may be a non-negligible intrinsic connection between two. Utilizing panel data covering period from 2011 2021, encompassing 30 provinces cities in China, this study measures agglomeration levels sector performance each region. Via application fixed-effect model spatial Durbin model, empirically examines impact mechanism resulting industry. This investigation discloses that is regional heterogeneity China’s level, with highest level observed western distribution forms an “East–Middle–West” ladder pattern, central regions falling below national average. Agglomeration exerts non-linear, “U-shaped” influence on performance, demonstrating conspicuous heterogeneity; opening up positively moderates “positive U-shaped” correlation performance. A clear spillover effect characterizes industry, non-linear “inverted surrounding regions. paper aims offer policy insights into establishment developmental layouts for China while simultaneously providing practical references enhancing

Язык: Английский

Процитировано

2

The power of technology innovation: can smart transportation technology innovation accelerate green transportation efficiency? DOI Creative Commons
Congyu Zhao

Smart and Resilient Transport, Год журнала: 2024, Номер 6(2), С. 94 - 114

Опубликована: Март 12, 2024

Purpose The purpose of this study is to explore the causal relationship between smart transportation technology innovation and green efficiency. Design/methodology/approach A comprehensive framework used in paper assess level efficiency China based on instrumental variable – generalized method moments model, followed by an examination impact Additionally, their non-linear explored, as are important moderating mediating effects. Findings findings indicate that, first, significantly enhanced technology, which means that investing such technologies contributes improving Second, areas where initially low, exerts a particularly potent influence driving efficiency, underscores pivotal role bolstering when it lacking. Third, moderated information communication realized through increase energy carbon emissions Originality/value Advancing essential establishing low-carbon trajectory within sector.

Язык: Английский

Процитировано

2

The spatial spillover effect of carbon emission trading scheme on green innovation in China’s cities DOI

Jingru Xu,

Xiangjing Tong, Baochen Yang

и другие.

The Annals of Regional Science, Год журнала: 2024, Номер 73(2), С. 639 - 669

Опубликована: Июнь 20, 2024

Язык: Английский

Процитировано

2