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How does power technology innovation affect carbon productivity? A spatial perspective in China

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Abstract

Power technology innovation has been positioned as an effective way to contribute to China’s carbon productivity. However, limited empirical evidence exists on the impact of power technology innovation on carbon productivity. Thus, based on the annual panel dataset of 30 China’s provinces from 2001 to 2019, this study explored whether and how power technology innovation promotes or impedes the improvement of carbon productivity. First, carbon productivity in the framework of total factor was calculated based on the metafrontier Malmquist-Luenberger productivity index. Second, the effect of power technology innovation on carbon productivity was investigated using the spatial Durbin model. And we also examined whether heterogeneous power technology innovations have a synergistic effect on carbon productivity. Third, influence mechanism of power technology innovation affecting carbon productivity was identified. Results show that (1) there are notable differences in China’s provincial carbon productivity, which is characterized by the spatial correlation. (2) Local power technology innovation has a promotion effect on carbon productivity in both local and neighboring provinces. Moreover, the promotion effect of breakthrough power technology innovation is stronger than that of incremental power technology innovation. (3) Catching-up Effect and Innovation Effect are important transmission channels through which power technology innovation improves carbon productivity. Finally, policy recommendations are provided.

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Data availability

Data can be available from the authors on request.

Abbreviations

WTO:

World Trade Organization

IPCC:

Intergovernmental Panel on Climate Change

DEA:

Data environment analysis

ML:

Malmquist-Luenberger

MML:

Metafrontier Malmquist-Luenberger

EC:

Efficiency change

BPC:

Best-practice gap change

TGC:

Technology gap change

SLM:

Spatial lag model

SEM:

Spatial error model

SDM:

Spatial Durbin model

IPC:

International Patent Classification

ED:

Economic development

FDI:

Foreign direct investment

ER:

Environmental regulation

FD:

Fiscal decentralization

UL:

Urbanization level

ISU:

Industrial structure upgrading

PTI:

Power technology innovation

CP:

Carbon productivity

BPTI:

Breakthrough power technology innovation

IPTI:

Incremental power technology innovation

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Acknowledgements

We would like to thank the reviewers for all comments and suggestions.

Funding

This work was supported by both the Ministry of Education Humanities and Social Sciences Research Planning Fund Project of China (The study of security risk measurement and benefit evaluation of China’s outward mining investment in the context of “One Belt One Road,” Grant No.19YJA790027) and High Technology Innovation Think Tank Youth Project of China Association for Science and Technology (The study of China’s power technology innovation, diffusion and improvement of carbon productivity, Grant No. 2021ZZZLFZB1207139).

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Contributions

All authors contributed to the study conception and design. Software preparation, data collection, and analysis were performed by Yating Deng. The first draft of the manuscript was written by Fengtao Guang. Review and validation were performed by Shuifeng Hong and Le Wen. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Fengtao Guang.

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We consent to publish this manuscript in Environmental Science and Pollution Research. This manuscript has not been published in whole or in part nor is it being considered for publication elsewhere.

Competing interests

The authors declare no competing interests.

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Responsible Editor: Arshian Sharif

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Deng, Y., Guang, F., Hong, S. et al. How does power technology innovation affect carbon productivity? A spatial perspective in China. Environ Sci Pollut Res 29, 82888–82902 (2022). https://doi.org/10.1007/s11356-022-21488-0

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  • DOI: https://doi.org/10.1007/s11356-022-21488-0

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