The heterogeneous effects of different technological innovations on eco-efficiency: Evidence from 30 China’s provinces

Eco-efficiency (EE) is an important indicator to reflect the level of sustainable economic growth. This article places contribution to the existing literature by examining the relationship between innovation and eco-efficiency by incorporating three different innovation indicators: invention patent,...

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Autores principales: Yusen Luo, Zhengnan Lu, Sulaman Muhammad, Hua Yang
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/fb07cdcbae2f408a99867d79b3f806c1
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spelling oai:doaj.org-article:fb07cdcbae2f408a99867d79b3f806c12021-12-01T04:53:48ZThe heterogeneous effects of different technological innovations on eco-efficiency: Evidence from 30 China’s provinces1470-160X10.1016/j.ecolind.2021.107802https://doaj.org/article/fb07cdcbae2f408a99867d79b3f806c12021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21004672https://doaj.org/toc/1470-160XEco-efficiency (EE) is an important indicator to reflect the level of sustainable economic growth. This article places contribution to the existing literature by examining the relationship between innovation and eco-efficiency by incorporating three different innovation indicators: invention patent, utility patent and design patent. The dataset covers a balanced panel of 30 China’s provinces over the period of 2003–2017. Super efficiency slack-based model (SSBM) and super efficiency epsilon-based model (SEBM) under meta-frontier is used to measure the eco-efficiency. While, Bootstrap Truncation Regression is employed to analyze the different impacts of innovations on eco-efficiency. Regarding efficiency, the results indicate that eco-efficiency in China is at a decreasing trend overall, and there exists a certain heterogeneity among different regions. The results of Bootstrap Truncation Regression show that the invention patent and design patent exert positive effects on China’s eco-efficiency while utility patent inhibits the improvement of efficiency score during the sample period. Moreover, the estimation validates the existence of EKC (Environmental Kuznets curve) theory for China based on the extended STIRPAT model. Inward foreign direct investment (IFDI) has both pollution halo effect and pollution haven effect in China, while the effect of outward foreign direct investment (OFDI) on eco-efficiency is different across different regions. A U-shaped relationship is found between environmental regulation and eco-efficiency. On the basis of results, government should formulate strict environmental regulation and impose targeted subsidies on green technological innovation to promote green economic growth.Yusen LuoZhengnan LuSulaman MuhammadHua YangElsevierarticleEco-efficiencyTechnological innovationBootstrap truncation regressionEcologyQH540-549.5ENEcological Indicators, Vol 127, Iss , Pp 107802- (2021)
institution DOAJ
collection DOAJ
language EN
topic Eco-efficiency
Technological innovation
Bootstrap truncation regression
Ecology
QH540-549.5
spellingShingle Eco-efficiency
Technological innovation
Bootstrap truncation regression
Ecology
QH540-549.5
Yusen Luo
Zhengnan Lu
Sulaman Muhammad
Hua Yang
The heterogeneous effects of different technological innovations on eco-efficiency: Evidence from 30 China’s provinces
description Eco-efficiency (EE) is an important indicator to reflect the level of sustainable economic growth. This article places contribution to the existing literature by examining the relationship between innovation and eco-efficiency by incorporating three different innovation indicators: invention patent, utility patent and design patent. The dataset covers a balanced panel of 30 China’s provinces over the period of 2003–2017. Super efficiency slack-based model (SSBM) and super efficiency epsilon-based model (SEBM) under meta-frontier is used to measure the eco-efficiency. While, Bootstrap Truncation Regression is employed to analyze the different impacts of innovations on eco-efficiency. Regarding efficiency, the results indicate that eco-efficiency in China is at a decreasing trend overall, and there exists a certain heterogeneity among different regions. The results of Bootstrap Truncation Regression show that the invention patent and design patent exert positive effects on China’s eco-efficiency while utility patent inhibits the improvement of efficiency score during the sample period. Moreover, the estimation validates the existence of EKC (Environmental Kuznets curve) theory for China based on the extended STIRPAT model. Inward foreign direct investment (IFDI) has both pollution halo effect and pollution haven effect in China, while the effect of outward foreign direct investment (OFDI) on eco-efficiency is different across different regions. A U-shaped relationship is found between environmental regulation and eco-efficiency. On the basis of results, government should formulate strict environmental regulation and impose targeted subsidies on green technological innovation to promote green economic growth.
format article
author Yusen Luo
Zhengnan Lu
Sulaman Muhammad
Hua Yang
author_facet Yusen Luo
Zhengnan Lu
Sulaman Muhammad
Hua Yang
author_sort Yusen Luo
title The heterogeneous effects of different technological innovations on eco-efficiency: Evidence from 30 China’s provinces
title_short The heterogeneous effects of different technological innovations on eco-efficiency: Evidence from 30 China’s provinces
title_full The heterogeneous effects of different technological innovations on eco-efficiency: Evidence from 30 China’s provinces
title_fullStr The heterogeneous effects of different technological innovations on eco-efficiency: Evidence from 30 China’s provinces
title_full_unstemmed The heterogeneous effects of different technological innovations on eco-efficiency: Evidence from 30 China’s provinces
title_sort heterogeneous effects of different technological innovations on eco-efficiency: evidence from 30 china’s provinces
publisher Elsevier
publishDate 2021
url https://doaj.org/article/fb07cdcbae2f408a99867d79b3f806c1
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