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Cited by 300

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Do renewable energy technology innovations promote China's green productivity growth? Fresh evidence from partially linear functional-coefficient models

Yan, Zheming, Zou, Baoling, Du, Kerui, Li, Ke·2020·Energy Economics

Abstract

Renewable energy technology innovation can benefit the environment by promoting green productivity, as proposed by existing theoretical studies. However, recent uneven developments of both environmental performance and renewable energy technology among regions in China remind us to revisit the above theoretical link. In this paper, we relax the hypothesized homogeneity and linearity in traditional empirical models to investigate the effects of renewable energy technology innovation on China's green productivity. The results of the partially linear functional-coefficient models show that the effect of renewable energy technological innovation on green productivity is significant only when the relative income level of a province passes a critical turning point. Beyond the turning point, such an effect increases with the growth of relative income levels. Finally, we provide provincial specific policy implications based on the estimated nonparametric relationship between renewable energy technology innovation and green productivity.

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Metadata

Authors
Yan, Z., Zou, B., Du, K., & Li, K.
Venue
Energy Economics
Publisher
Elsevier BV
Published
2020-08
Volume
90
Pages
104842
ISSN
0140-9883 (ISSN-L)
OpenAlex
W3037338593
Cited by
300
References
3
FWCI
34.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Do renewable energy technology innovations promote China's green productivity growth? Fresh evidence from partially linear functional-coefficient models. https://app.cochat.ai/papers/10.1016/j.eneco.2020.104842
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Yan, Z., Zou, B., Du, K., & Li, K. (2020). Do renewable energy technology innovations promote China's green productivity growth? Fresh evidence from partially linear functional-coefficient models. Energy Economics. https://doi.org/10.1016/j.eneco.2020.104842

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.