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

Do renewable energy technology innovations promote China's green productivity growth? Fresh evidence from partially linear functional-coefficient models
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可再生能源技术创新能否促进中国绿色生产力增长?

DOI:
10.1016/j.eneco.2020.104842
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发表时间:
2020-08-01
期刊:
影响因子:
12.8
通讯作者:
Li, Ke
Li, Ke
中科院分区:
经济学2区
文献类型:
--
作者:
Yan, Zheming;Zou, Baoling;Li, Ke

文献摘要

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Renewable energy technology innovation can benefit the environment by promoting green productivity, as pro-posed 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 ef-fects 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 pro-ductivity 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 provin-cial specific policy implications based on the estimated nonparametric relationship between renewable energy technology innovation and green productivity. (C) 2020 Elsevier B.V. All rights reserved.