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Does Green Technology Innovation Reduce Urban Carbon Emissions? The Case of Chinese Cities

Hui Meng et al.

Asian-Pacific Economic Literature2025https://doi.org/10.1111/apel.70003article
ABDC C
Weight
0.41

What the paper says

ABSTRACT This study investigates the nuanced relationship between green technological innovation (GTI) and urban carbon emissions, addressing the persistent ambiguity in the literature regarding GTI's decarbonisation efficacy. Utilising panel data from 247 Chinese prefecture‐level cities (2006–2020), we employ a spatial Durbin model (SDM) to simultaneously estimate local and spillover effects of GTI while evaluating heterogeneous impacts across non‐pilot cities, innovation pilot cities, low‐carbon pilot cities and dual‐pilot cities (joint innovation‐low‐carbon pilots). Three key findings emerge. First, GTI exhibits an inverted U‐shaped relationship with carbon intensity, where initial innovation accumulation exacerbates emissions before triggering net reductions. Spatial spillovers amplify this effect. Second, emission reductions are contingent on threshold conditions: a minimum GTI output and economic development level. Third, policy design critically mediates outcomes: innovation‐focused pilots local emission reductions and stronger spillovers than low‐carbon pilots, while dual‐pilot cities—through synergistic integration of innovation incentives and carbon pricing—outperform non‐pilots. These results establish that institutional frameworks prioritising innovation‐led policy hybridisation, coupled with inter‐city knowledge diffusion, constitute vital mechanisms for unlocking GTI's decarbonisation potential. The analysis provides actionable insights for designing spatially coordinated, phase‐sensitive urban climate policies.

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https://doi.org/https://doi.org/10.1111/apel.70003

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@article{hui2025,
  title        = {{Does Green Technology Innovation Reduce Urban Carbon Emissions? The Case of Chinese Cities}},
  author       = {Hui Meng et al.},
  journal      = {Asian-Pacific Economic Literature},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1111/apel.70003},
}

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Does Green Technology Innovation Reduce Urban Carbon Emissions? The Case of Chinese Cities

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.