Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation

As a new engine for driving high-quality economic development, the rapid development of the digital economy may become the key to stimulating green technology innovation within Chinese urban areas. Based on the panel data of 286 Chinese cities from 2011 to 2019, this study utilizes the spatial Durbi...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Dian, Jie [verfasserIn] Song, Tian [verfasserIn] Li, Shenglan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Digital economy Urban green technology innovation Spatial effect Spatial Durbin model Spatial DID model Spatial threshold model

Übergeordnetes Werk:	Enthalten in: Energy economics - Amsterdam [u.a.] : Elsevier Science, 1979, 129
Übergeordnetes Werk:	volume:129

DOI / URN:	10.1016/j.eneco.2023.107223

Katalog-ID:	ELV066429552

Internformat


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520			\|a As a new engine for driving high-quality economic development, the rapid development of the digital economy may become the key to stimulating green technology innovation within Chinese urban areas. Based on the panel data of 286 Chinese cities from 2011 to 2019, this study utilizes the spatial Durbin model to decompose the spatial effect of the digital economy on urban green technology innovation. The results show that: (1) The digital economy has a significant role in promoting green technology innovation in Chinese cities and manifests positive spatial spillover effects. (2) Mechanism analysis indicates that the digital economy mainly affects urban green technology innovation through three paths: human capital, financial development, and government support. The magnitude of its role reveals obvious nonlinear effects with an increase in the size of mechanism variables. (3) Heterogeneity analysis demonstrates that the digital economy in eastern cities illustrates a notable spillover effect, while city clusters present a U-shaped impact feature, that is, the “empowerment effect” on green technology innovation in neighboring areas can only be displayed when the digital economy develops to a certain level. The findings offer a more valuable reference for making decisions to enhance comprehension of the spatial effects of the digital economy development and realize the synergistic development of digitalization and greenization among cities.
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matchkey_str	article:18736181:2023----::aiiaigrniiigptaefcsfhdgtlcnmafcigrag
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publishDate	2023
allfields	10.1016/j.eneco.2023.107223 doi (DE-627)ELV066429552 (ELSEVIER)S0140-9883(23)00721-1 DE-627 ger DE-627 rda eng 620 VZ 83.65 bkl Dian, Jie verfasserin aut Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As a new engine for driving high-quality economic development, the rapid development of the digital economy may become the key to stimulating green technology innovation within Chinese urban areas. Based on the panel data of 286 Chinese cities from 2011 to 2019, this study utilizes the spatial Durbin model to decompose the spatial effect of the digital economy on urban green technology innovation. The results show that: (1) The digital economy has a significant role in promoting green technology innovation in Chinese cities and manifests positive spatial spillover effects. (2) Mechanism analysis indicates that the digital economy mainly affects urban green technology innovation through three paths: human capital, financial development, and government support. The magnitude of its role reveals obvious nonlinear effects with an increase in the size of mechanism variables. (3) Heterogeneity analysis demonstrates that the digital economy in eastern cities illustrates a notable spillover effect, while city clusters present a U-shaped impact feature, that is, the “empowerment effect” on green technology innovation in neighboring areas can only be displayed when the digital economy develops to a certain level. The findings offer a more valuable reference for making decisions to enhance comprehension of the spatial effects of the digital economy development and realize the synergistic development of digitalization and greenization among cities. Digital economy Urban green technology innovation Spatial effect Spatial Durbin model Spatial DID model Spatial threshold model Song, Tian verfasserin aut Li, Shenglan verfasserin aut Enthalten in Energy economics Amsterdam [u.a.] : Elsevier Science, 1979 129 Online-Ressource (DE-627)320407675 (DE-600)2000893-4 (DE-576)259271071 1873-6181 nnns volume:129 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 83.65 Versorgungswirtschaft VZ AR 129
spelling	10.1016/j.eneco.2023.107223 doi (DE-627)ELV066429552 (ELSEVIER)S0140-9883(23)00721-1 DE-627 ger DE-627 rda eng 620 VZ 83.65 bkl Dian, Jie verfasserin aut Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As a new engine for driving high-quality economic development, the rapid development of the digital economy may become the key to stimulating green technology innovation within Chinese urban areas. Based on the panel data of 286 Chinese cities from 2011 to 2019, this study utilizes the spatial Durbin model to decompose the spatial effect of the digital economy on urban green technology innovation. The results show that: (1) The digital economy has a significant role in promoting green technology innovation in Chinese cities and manifests positive spatial spillover effects. (2) Mechanism analysis indicates that the digital economy mainly affects urban green technology innovation through three paths: human capital, financial development, and government support. The magnitude of its role reveals obvious nonlinear effects with an increase in the size of mechanism variables. (3) Heterogeneity analysis demonstrates that the digital economy in eastern cities illustrates a notable spillover effect, while city clusters present a U-shaped impact feature, that is, the “empowerment effect” on green technology innovation in neighboring areas can only be displayed when the digital economy develops to a certain level. The findings offer a more valuable reference for making decisions to enhance comprehension of the spatial effects of the digital economy development and realize the synergistic development of digitalization and greenization among cities. Digital economy Urban green technology innovation Spatial effect Spatial Durbin model Spatial DID model Spatial threshold model Song, Tian verfasserin aut Li, Shenglan verfasserin aut Enthalten in Energy economics Amsterdam [u.a.] : Elsevier Science, 1979 129 Online-Ressource (DE-627)320407675 (DE-600)2000893-4 (DE-576)259271071 1873-6181 nnns volume:129 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 83.65 Versorgungswirtschaft VZ AR 129
allfields_unstemmed	10.1016/j.eneco.2023.107223 doi (DE-627)ELV066429552 (ELSEVIER)S0140-9883(23)00721-1 DE-627 ger DE-627 rda eng 620 VZ 83.65 bkl Dian, Jie verfasserin aut Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As a new engine for driving high-quality economic development, the rapid development of the digital economy may become the key to stimulating green technology innovation within Chinese urban areas. Based on the panel data of 286 Chinese cities from 2011 to 2019, this study utilizes the spatial Durbin model to decompose the spatial effect of the digital economy on urban green technology innovation. The results show that: (1) The digital economy has a significant role in promoting green technology innovation in Chinese cities and manifests positive spatial spillover effects. (2) Mechanism analysis indicates that the digital economy mainly affects urban green technology innovation through three paths: human capital, financial development, and government support. The magnitude of its role reveals obvious nonlinear effects with an increase in the size of mechanism variables. (3) Heterogeneity analysis demonstrates that the digital economy in eastern cities illustrates a notable spillover effect, while city clusters present a U-shaped impact feature, that is, the “empowerment effect” on green technology innovation in neighboring areas can only be displayed when the digital economy develops to a certain level. The findings offer a more valuable reference for making decisions to enhance comprehension of the spatial effects of the digital economy development and realize the synergistic development of digitalization and greenization among cities. Digital economy Urban green technology innovation Spatial effect Spatial Durbin model Spatial DID model Spatial threshold model Song, Tian verfasserin aut Li, Shenglan verfasserin aut Enthalten in Energy economics Amsterdam [u.a.] : Elsevier Science, 1979 129 Online-Ressource (DE-627)320407675 (DE-600)2000893-4 (DE-576)259271071 1873-6181 nnns volume:129 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 83.65 Versorgungswirtschaft VZ AR 129
allfieldsGer	10.1016/j.eneco.2023.107223 doi (DE-627)ELV066429552 (ELSEVIER)S0140-9883(23)00721-1 DE-627 ger DE-627 rda eng 620 VZ 83.65 bkl Dian, Jie verfasserin aut Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As a new engine for driving high-quality economic development, the rapid development of the digital economy may become the key to stimulating green technology innovation within Chinese urban areas. Based on the panel data of 286 Chinese cities from 2011 to 2019, this study utilizes the spatial Durbin model to decompose the spatial effect of the digital economy on urban green technology innovation. The results show that: (1) The digital economy has a significant role in promoting green technology innovation in Chinese cities and manifests positive spatial spillover effects. (2) Mechanism analysis indicates that the digital economy mainly affects urban green technology innovation through three paths: human capital, financial development, and government support. The magnitude of its role reveals obvious nonlinear effects with an increase in the size of mechanism variables. (3) Heterogeneity analysis demonstrates that the digital economy in eastern cities illustrates a notable spillover effect, while city clusters present a U-shaped impact feature, that is, the “empowerment effect” on green technology innovation in neighboring areas can only be displayed when the digital economy develops to a certain level. The findings offer a more valuable reference for making decisions to enhance comprehension of the spatial effects of the digital economy development and realize the synergistic development of digitalization and greenization among cities. Digital economy Urban green technology innovation Spatial effect Spatial Durbin model Spatial DID model Spatial threshold model Song, Tian verfasserin aut Li, Shenglan verfasserin aut Enthalten in Energy economics Amsterdam [u.a.] : Elsevier Science, 1979 129 Online-Ressource (DE-627)320407675 (DE-600)2000893-4 (DE-576)259271071 1873-6181 nnns volume:129 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 83.65 Versorgungswirtschaft VZ AR 129
allfieldsSound	10.1016/j.eneco.2023.107223 doi (DE-627)ELV066429552 (ELSEVIER)S0140-9883(23)00721-1 DE-627 ger DE-627 rda eng 620 VZ 83.65 bkl Dian, Jie verfasserin aut Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As a new engine for driving high-quality economic development, the rapid development of the digital economy may become the key to stimulating green technology innovation within Chinese urban areas. Based on the panel data of 286 Chinese cities from 2011 to 2019, this study utilizes the spatial Durbin model to decompose the spatial effect of the digital economy on urban green technology innovation. The results show that: (1) The digital economy has a significant role in promoting green technology innovation in Chinese cities and manifests positive spatial spillover effects. (2) Mechanism analysis indicates that the digital economy mainly affects urban green technology innovation through three paths: human capital, financial development, and government support. The magnitude of its role reveals obvious nonlinear effects with an increase in the size of mechanism variables. (3) Heterogeneity analysis demonstrates that the digital economy in eastern cities illustrates a notable spillover effect, while city clusters present a U-shaped impact feature, that is, the “empowerment effect” on green technology innovation in neighboring areas can only be displayed when the digital economy develops to a certain level. The findings offer a more valuable reference for making decisions to enhance comprehension of the spatial effects of the digital economy development and realize the synergistic development of digitalization and greenization among cities. Digital economy Urban green technology innovation Spatial effect Spatial Durbin model Spatial DID model Spatial threshold model Song, Tian verfasserin aut Li, Shenglan verfasserin aut Enthalten in Energy economics Amsterdam [u.a.] : Elsevier Science, 1979 129 Online-Ressource (DE-627)320407675 (DE-600)2000893-4 (DE-576)259271071 1873-6181 nnns volume:129 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 83.65 Versorgungswirtschaft VZ AR 129
language	English
source	Enthalten in Energy economics 129 volume:129
sourceStr	Enthalten in Energy economics 129 volume:129
format_phy_str_mv	Article
bklname	Versorgungswirtschaft
institution	findex.gbv.de
topic_facet	Digital economy Urban green technology innovation Spatial effect Spatial Durbin model Spatial DID model Spatial threshold model
dewey-raw	620
isfreeaccess_bool	false
container_title	Energy economics
authorswithroles_txt_mv	Dian, Jie @@aut@@ Song, Tian @@aut@@ Li, Shenglan @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	320407675
dewey-sort	3620
id	ELV066429552
language_de	englisch
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author	Dian, Jie
spellingShingle	Dian, Jie ddc 620 bkl 83.65 misc Digital economy misc Urban green technology innovation misc Spatial effect misc Spatial Durbin model misc Spatial DID model misc Spatial threshold model Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation
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topic_title	620 VZ 83.65 bkl Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation Digital economy Urban green technology innovation Spatial effect Spatial Durbin model Spatial DID model Spatial threshold model
topic	ddc 620 bkl 83.65 misc Digital economy misc Urban green technology innovation misc Spatial effect misc Spatial Durbin model misc Spatial DID model misc Spatial threshold model
topic_unstemmed	ddc 620 bkl 83.65 misc Digital economy misc Urban green technology innovation misc Spatial effect misc Spatial Durbin model misc Spatial DID model misc Spatial threshold model
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title	Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation
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title_full	Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation
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title_sort	facilitating or inhibiting? spatial effects of the digital economy affecting urban green technology innovation
title_auth	Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation
abstract	As a new engine for driving high-quality economic development, the rapid development of the digital economy may become the key to stimulating green technology innovation within Chinese urban areas. Based on the panel data of 286 Chinese cities from 2011 to 2019, this study utilizes the spatial Durbin model to decompose the spatial effect of the digital economy on urban green technology innovation. The results show that: (1) The digital economy has a significant role in promoting green technology innovation in Chinese cities and manifests positive spatial spillover effects. (2) Mechanism analysis indicates that the digital economy mainly affects urban green technology innovation through three paths: human capital, financial development, and government support. The magnitude of its role reveals obvious nonlinear effects with an increase in the size of mechanism variables. (3) Heterogeneity analysis demonstrates that the digital economy in eastern cities illustrates a notable spillover effect, while city clusters present a U-shaped impact feature, that is, the “empowerment effect” on green technology innovation in neighboring areas can only be displayed when the digital economy develops to a certain level. The findings offer a more valuable reference for making decisions to enhance comprehension of the spatial effects of the digital economy development and realize the synergistic development of digitalization and greenization among cities.
abstractGer	As a new engine for driving high-quality economic development, the rapid development of the digital economy may become the key to stimulating green technology innovation within Chinese urban areas. Based on the panel data of 286 Chinese cities from 2011 to 2019, this study utilizes the spatial Durbin model to decompose the spatial effect of the digital economy on urban green technology innovation. The results show that: (1) The digital economy has a significant role in promoting green technology innovation in Chinese cities and manifests positive spatial spillover effects. (2) Mechanism analysis indicates that the digital economy mainly affects urban green technology innovation through three paths: human capital, financial development, and government support. The magnitude of its role reveals obvious nonlinear effects with an increase in the size of mechanism variables. (3) Heterogeneity analysis demonstrates that the digital economy in eastern cities illustrates a notable spillover effect, while city clusters present a U-shaped impact feature, that is, the “empowerment effect” on green technology innovation in neighboring areas can only be displayed when the digital economy develops to a certain level. The findings offer a more valuable reference for making decisions to enhance comprehension of the spatial effects of the digital economy development and realize the synergistic development of digitalization and greenization among cities.
abstract_unstemmed	As a new engine for driving high-quality economic development, the rapid development of the digital economy may become the key to stimulating green technology innovation within Chinese urban areas. Based on the panel data of 286 Chinese cities from 2011 to 2019, this study utilizes the spatial Durbin model to decompose the spatial effect of the digital economy on urban green technology innovation. The results show that: (1) The digital economy has a significant role in promoting green technology innovation in Chinese cities and manifests positive spatial spillover effects. (2) Mechanism analysis indicates that the digital economy mainly affects urban green technology innovation through three paths: human capital, financial development, and government support. The magnitude of its role reveals obvious nonlinear effects with an increase in the size of mechanism variables. (3) Heterogeneity analysis demonstrates that the digital economy in eastern cities illustrates a notable spillover effect, while city clusters present a U-shaped impact feature, that is, the “empowerment effect” on green technology innovation in neighboring areas can only be displayed when the digital economy develops to a certain level. The findings offer a more valuable reference for making decisions to enhance comprehension of the spatial effects of the digital economy development and realize the synergistic development of digitalization and greenization among cities.
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title_short	Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation
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up_date	2024-07-06T17:43:50.920Z
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