Assessing the effectiveness of innovative city pilots in improving urban carbon emission performance: A spatial difference-in-difference approach

Existing studies have focused on the impact of innovation on carbon emission performance but ignore the importance of government support for innovation. To overcome this challenge, this paper adopts a spatial difference-in-difference (DID) model to assess the impact of government support for innovat...
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Gespeichert in:

Autor*in:	Chenyang Yu [verfasserIn] Hongyu Long [verfasserIn] Chenglin Tu [verfasserIn] Yuanfang Tan [verfasserIn] Chuanxiang Zang [verfasserIn] Yu Zhou [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	carbon emission performance innovative city pilots spital difference-in-difference model stochastic frontier analysis spatial spillover effect

Übergeordnetes Werk:	In: Frontiers in Environmental Science - Frontiers Media S.A., 2014, 10(2022)
Übergeordnetes Werk:	volume:10 ; year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fenvs.2022.983711

Katalog-ID:	DOAJ020592310

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callnumber-first	G - Geography, Anthropology, Recreation
author	Chenyang Yu
spellingShingle	Chenyang Yu misc GE1-350 misc carbon emission performance misc innovative city pilots misc spital difference-in-difference model misc stochastic frontier analysis misc spatial spillover effect misc Environmental sciences Assessing the effectiveness of innovative city pilots in improving urban carbon emission performance: A spatial difference-in-difference approach
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topic_title	GE1-350 Assessing the effectiveness of innovative city pilots in improving urban carbon emission performance: A spatial difference-in-difference approach carbon emission performance innovative city pilots spital difference-in-difference model stochastic frontier analysis spatial spillover effect
topic	misc GE1-350 misc carbon emission performance misc innovative city pilots misc spital difference-in-difference model misc stochastic frontier analysis misc spatial spillover effect misc Environmental sciences
topic_unstemmed	misc GE1-350 misc carbon emission performance misc innovative city pilots misc spital difference-in-difference model misc stochastic frontier analysis misc spatial spillover effect misc Environmental sciences
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title	Assessing the effectiveness of innovative city pilots in improving urban carbon emission performance: A spatial difference-in-difference approach
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title_full	Assessing the effectiveness of innovative city pilots in improving urban carbon emission performance: A spatial difference-in-difference approach
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title_sort	assessing the effectiveness of innovative city pilots in improving urban carbon emission performance: a spatial difference-in-difference approach
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title_auth	Assessing the effectiveness of innovative city pilots in improving urban carbon emission performance: A spatial difference-in-difference approach
abstract	Existing studies have focused on the impact of innovation on carbon emission performance but ignore the importance of government support for innovation. To overcome this challenge, this paper adopts a spatial difference-in-difference (DID) model to assess the impact of government support for innovation on urban carbon emission performance based on a quasi-natural experiment of innovative city pilots (ICP) in China. Using the high-resolution carbon emission data of 1 km × 1 km for 238 cities from 2008 to 2019 in China, this paper employees an extended stochastic frontier analysis (SFA) model to measure urban carbon emission performance. Our findings indicate that ICP implementation leads to a 1.3% improvement in local carbon emission performance. Meanwhile, there is a significant spatial spillover effect of ICP implementation, with a 3.3% improvement in the carbon performance of the surrounding areas. The results of the mechanism analysis suggest that government innovation support affects carbon emission performance by promoting total factor productivity improvement, green innovation, and industrial upgrading. Further analysis shows that ICP has the strongest impact on carbon performance in the eastern region, and the impact is stronger for large cities and resource-dependent cities. Finally, the paper carries out a series of robustness tests to ensure the reliability of the analytical results, including parallel trend tests, placebo tests and re-estimation of different methods. Based on the findings, this paper proposes feasible policy recommendations in terms of continuous promotion of government innovation support, regional cooperation and differentiated innovation support formulation.
abstractGer	Existing studies have focused on the impact of innovation on carbon emission performance but ignore the importance of government support for innovation. To overcome this challenge, this paper adopts a spatial difference-in-difference (DID) model to assess the impact of government support for innovation on urban carbon emission performance based on a quasi-natural experiment of innovative city pilots (ICP) in China. Using the high-resolution carbon emission data of 1 km × 1 km for 238 cities from 2008 to 2019 in China, this paper employees an extended stochastic frontier analysis (SFA) model to measure urban carbon emission performance. Our findings indicate that ICP implementation leads to a 1.3% improvement in local carbon emission performance. Meanwhile, there is a significant spatial spillover effect of ICP implementation, with a 3.3% improvement in the carbon performance of the surrounding areas. The results of the mechanism analysis suggest that government innovation support affects carbon emission performance by promoting total factor productivity improvement, green innovation, and industrial upgrading. Further analysis shows that ICP has the strongest impact on carbon performance in the eastern region, and the impact is stronger for large cities and resource-dependent cities. Finally, the paper carries out a series of robustness tests to ensure the reliability of the analytical results, including parallel trend tests, placebo tests and re-estimation of different methods. Based on the findings, this paper proposes feasible policy recommendations in terms of continuous promotion of government innovation support, regional cooperation and differentiated innovation support formulation.
abstract_unstemmed	Existing studies have focused on the impact of innovation on carbon emission performance but ignore the importance of government support for innovation. To overcome this challenge, this paper adopts a spatial difference-in-difference (DID) model to assess the impact of government support for innovation on urban carbon emission performance based on a quasi-natural experiment of innovative city pilots (ICP) in China. Using the high-resolution carbon emission data of 1 km × 1 km for 238 cities from 2008 to 2019 in China, this paper employees an extended stochastic frontier analysis (SFA) model to measure urban carbon emission performance. Our findings indicate that ICP implementation leads to a 1.3% improvement in local carbon emission performance. Meanwhile, there is a significant spatial spillover effect of ICP implementation, with a 3.3% improvement in the carbon performance of the surrounding areas. The results of the mechanism analysis suggest that government innovation support affects carbon emission performance by promoting total factor productivity improvement, green innovation, and industrial upgrading. Further analysis shows that ICP has the strongest impact on carbon performance in the eastern region, and the impact is stronger for large cities and resource-dependent cities. Finally, the paper carries out a series of robustness tests to ensure the reliability of the analytical results, including parallel trend tests, placebo tests and re-estimation of different methods. Based on the findings, this paper proposes feasible policy recommendations in terms of continuous promotion of government innovation support, regional cooperation and differentiated innovation support formulation.
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title_short	Assessing the effectiveness of innovative city pilots in improving urban carbon emission performance: A spatial difference-in-difference approach
url	https://doi.org/10.3389/fenvs.2022.983711 https://doaj.org/article/19ec085a5df84bccbef2f2898f975da0 https://www.frontiersin.org/articles/10.3389/fenvs.2022.983711/full https://doaj.org/toc/2296-665X
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author2	Chenyang Yu Hongyu Long Chenglin Tu Yuanfang Tan Chuanxiang Zang Yu Zhou
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up_date	2024-07-03T15:49:58.286Z
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Assessing the effectiveness of innovative city pilots in improving urban carbon emission performance: A spatial difference-in-difference approach

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