Does smart city pilot improve green total factor productivity? Evidence from Chinese cities
Abstract In recent years, the construction of smart cities has gradually become an effective means of addressing urban economic and environmental challenges. Based on panel data of 249 Chinese cities from 2005 to 2020, this study uses a super-efficiency epsilon-based measure model and a Malmquist-Lu...
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| Autor*in: |
Wu, Chao [verfasserIn] |
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E-Artikel |
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Englisch |
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2023 |
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© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Environmental science and pollution research - Berlin : Springer, 1994, 31(2023), 5 vom: 30. Dez., Seite 7380-7395 |
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| Übergeordnetes Werk: |
volume:31 ; year:2023 ; number:5 ; day:30 ; month:12 ; pages:7380-7395 |
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| DOI / URN: |
10.1007/s11356-023-31624-z |
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SPR054546397 |
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| 520 | |a Abstract In recent years, the construction of smart cities has gradually become an effective means of addressing urban economic and environmental challenges. Based on panel data of 249 Chinese cities from 2005 to 2020, this study uses a super-efficiency epsilon-based measure model and a Malmquist-Luenberger index to calculate the urban green total factor productivity (GTFP). Using the smart city pilot as a quasi-natural experiment, the time-varying difference-in-difference (DID) method is applied to determine the causal effect of smart city pilot on GTFP. Results show that smart city pilot increases urban GTFP in China, and a series of robust analyses have verified the reliability of the results. The heterogeneity analysis results show that the smart city pilot policy has a more significant positive effect on urban GTFP in the eastern and central regions, the high population group, and the high per capita GDP group. The mediating analysis further suggests that smart city pilot positively affects technological innovations and human capital which promotes urban GTFP. These findings are of great significance for smart city construction and coordinating the relationship between urban economic development and environmental protection. | ||
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10.1007/s11356-023-31624-z doi (DE-627)SPR054546397 (SPR)s11356-023-31624-z-e DE-627 ger DE-627 rakwb eng Wu, Chao verfasserin aut Does smart city pilot improve green total factor productivity? Evidence from Chinese cities 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In recent years, the construction of smart cities has gradually become an effective means of addressing urban economic and environmental challenges. Based on panel data of 249 Chinese cities from 2005 to 2020, this study uses a super-efficiency epsilon-based measure model and a Malmquist-Luenberger index to calculate the urban green total factor productivity (GTFP). Using the smart city pilot as a quasi-natural experiment, the time-varying difference-in-difference (DID) method is applied to determine the causal effect of smart city pilot on GTFP. Results show that smart city pilot increases urban GTFP in China, and a series of robust analyses have verified the reliability of the results. The heterogeneity analysis results show that the smart city pilot policy has a more significant positive effect on urban GTFP in the eastern and central regions, the high population group, and the high per capita GDP group. The mediating analysis further suggests that smart city pilot positively affects technological innovations and human capital which promotes urban GTFP. These findings are of great significance for smart city construction and coordinating the relationship between urban economic development and environmental protection. Smart city pilot (dpeaa)DE-He213 Time-varying difference-in-differences (dpeaa)DE-He213 Green total factor productivity (dpeaa)DE-He213 Shi, Runyi aut Luo, Yusen (orcid)0000-0001-7486-0909 aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 31(2023), 5 vom: 30. Dez., Seite 7380-7395 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:31 year:2023 number:5 day:30 month:12 pages:7380-7395 https://dx.doi.org/10.1007/s11356-023-31624-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2023 5 30 12 7380-7395 |
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10.1007/s11356-023-31624-z doi (DE-627)SPR054546397 (SPR)s11356-023-31624-z-e DE-627 ger DE-627 rakwb eng Wu, Chao verfasserin aut Does smart city pilot improve green total factor productivity? Evidence from Chinese cities 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In recent years, the construction of smart cities has gradually become an effective means of addressing urban economic and environmental challenges. Based on panel data of 249 Chinese cities from 2005 to 2020, this study uses a super-efficiency epsilon-based measure model and a Malmquist-Luenberger index to calculate the urban green total factor productivity (GTFP). Using the smart city pilot as a quasi-natural experiment, the time-varying difference-in-difference (DID) method is applied to determine the causal effect of smart city pilot on GTFP. Results show that smart city pilot increases urban GTFP in China, and a series of robust analyses have verified the reliability of the results. The heterogeneity analysis results show that the smart city pilot policy has a more significant positive effect on urban GTFP in the eastern and central regions, the high population group, and the high per capita GDP group. The mediating analysis further suggests that smart city pilot positively affects technological innovations and human capital which promotes urban GTFP. These findings are of great significance for smart city construction and coordinating the relationship between urban economic development and environmental protection. Smart city pilot (dpeaa)DE-He213 Time-varying difference-in-differences (dpeaa)DE-He213 Green total factor productivity (dpeaa)DE-He213 Shi, Runyi aut Luo, Yusen (orcid)0000-0001-7486-0909 aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 31(2023), 5 vom: 30. Dez., Seite 7380-7395 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:31 year:2023 number:5 day:30 month:12 pages:7380-7395 https://dx.doi.org/10.1007/s11356-023-31624-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2023 5 30 12 7380-7395 |
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10.1007/s11356-023-31624-z doi (DE-627)SPR054546397 (SPR)s11356-023-31624-z-e DE-627 ger DE-627 rakwb eng Wu, Chao verfasserin aut Does smart city pilot improve green total factor productivity? Evidence from Chinese cities 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In recent years, the construction of smart cities has gradually become an effective means of addressing urban economic and environmental challenges. Based on panel data of 249 Chinese cities from 2005 to 2020, this study uses a super-efficiency epsilon-based measure model and a Malmquist-Luenberger index to calculate the urban green total factor productivity (GTFP). Using the smart city pilot as a quasi-natural experiment, the time-varying difference-in-difference (DID) method is applied to determine the causal effect of smart city pilot on GTFP. Results show that smart city pilot increases urban GTFP in China, and a series of robust analyses have verified the reliability of the results. The heterogeneity analysis results show that the smart city pilot policy has a more significant positive effect on urban GTFP in the eastern and central regions, the high population group, and the high per capita GDP group. The mediating analysis further suggests that smart city pilot positively affects technological innovations and human capital which promotes urban GTFP. These findings are of great significance for smart city construction and coordinating the relationship between urban economic development and environmental protection. Smart city pilot (dpeaa)DE-He213 Time-varying difference-in-differences (dpeaa)DE-He213 Green total factor productivity (dpeaa)DE-He213 Shi, Runyi aut Luo, Yusen (orcid)0000-0001-7486-0909 aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 31(2023), 5 vom: 30. Dez., Seite 7380-7395 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:31 year:2023 number:5 day:30 month:12 pages:7380-7395 https://dx.doi.org/10.1007/s11356-023-31624-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2023 5 30 12 7380-7395 |
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10.1007/s11356-023-31624-z doi (DE-627)SPR054546397 (SPR)s11356-023-31624-z-e DE-627 ger DE-627 rakwb eng Wu, Chao verfasserin aut Does smart city pilot improve green total factor productivity? Evidence from Chinese cities 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In recent years, the construction of smart cities has gradually become an effective means of addressing urban economic and environmental challenges. Based on panel data of 249 Chinese cities from 2005 to 2020, this study uses a super-efficiency epsilon-based measure model and a Malmquist-Luenberger index to calculate the urban green total factor productivity (GTFP). Using the smart city pilot as a quasi-natural experiment, the time-varying difference-in-difference (DID) method is applied to determine the causal effect of smart city pilot on GTFP. Results show that smart city pilot increases urban GTFP in China, and a series of robust analyses have verified the reliability of the results. The heterogeneity analysis results show that the smart city pilot policy has a more significant positive effect on urban GTFP in the eastern and central regions, the high population group, and the high per capita GDP group. The mediating analysis further suggests that smart city pilot positively affects technological innovations and human capital which promotes urban GTFP. These findings are of great significance for smart city construction and coordinating the relationship between urban economic development and environmental protection. Smart city pilot (dpeaa)DE-He213 Time-varying difference-in-differences (dpeaa)DE-He213 Green total factor productivity (dpeaa)DE-He213 Shi, Runyi aut Luo, Yusen (orcid)0000-0001-7486-0909 aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 31(2023), 5 vom: 30. Dez., Seite 7380-7395 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:31 year:2023 number:5 day:30 month:12 pages:7380-7395 https://dx.doi.org/10.1007/s11356-023-31624-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2023 5 30 12 7380-7395 |
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10.1007/s11356-023-31624-z doi (DE-627)SPR054546397 (SPR)s11356-023-31624-z-e DE-627 ger DE-627 rakwb eng Wu, Chao verfasserin aut Does smart city pilot improve green total factor productivity? Evidence from Chinese cities 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In recent years, the construction of smart cities has gradually become an effective means of addressing urban economic and environmental challenges. Based on panel data of 249 Chinese cities from 2005 to 2020, this study uses a super-efficiency epsilon-based measure model and a Malmquist-Luenberger index to calculate the urban green total factor productivity (GTFP). Using the smart city pilot as a quasi-natural experiment, the time-varying difference-in-difference (DID) method is applied to determine the causal effect of smart city pilot on GTFP. Results show that smart city pilot increases urban GTFP in China, and a series of robust analyses have verified the reliability of the results. The heterogeneity analysis results show that the smart city pilot policy has a more significant positive effect on urban GTFP in the eastern and central regions, the high population group, and the high per capita GDP group. The mediating analysis further suggests that smart city pilot positively affects technological innovations and human capital which promotes urban GTFP. These findings are of great significance for smart city construction and coordinating the relationship between urban economic development and environmental protection. Smart city pilot (dpeaa)DE-He213 Time-varying difference-in-differences (dpeaa)DE-He213 Green total factor productivity (dpeaa)DE-He213 Shi, Runyi aut Luo, Yusen (orcid)0000-0001-7486-0909 aut Enthalten in Environmental science and pollution research Berlin : Springer, 1994 31(2023), 5 vom: 30. Dez., Seite 7380-7395 (DE-627)320517926 (DE-600)2014192-0 1614-7499 nnns volume:31 year:2023 number:5 day:30 month:12 pages:7380-7395 https://dx.doi.org/10.1007/s11356-023-31624-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 31 2023 5 30 12 7380-7395 |
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Does smart city pilot improve green total factor productivity? Evidence from Chinese cities |
| abstract |
Abstract In recent years, the construction of smart cities has gradually become an effective means of addressing urban economic and environmental challenges. Based on panel data of 249 Chinese cities from 2005 to 2020, this study uses a super-efficiency epsilon-based measure model and a Malmquist-Luenberger index to calculate the urban green total factor productivity (GTFP). Using the smart city pilot as a quasi-natural experiment, the time-varying difference-in-difference (DID) method is applied to determine the causal effect of smart city pilot on GTFP. Results show that smart city pilot increases urban GTFP in China, and a series of robust analyses have verified the reliability of the results. The heterogeneity analysis results show that the smart city pilot policy has a more significant positive effect on urban GTFP in the eastern and central regions, the high population group, and the high per capita GDP group. The mediating analysis further suggests that smart city pilot positively affects technological innovations and human capital which promotes urban GTFP. These findings are of great significance for smart city construction and coordinating the relationship between urban economic development and environmental protection. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract In recent years, the construction of smart cities has gradually become an effective means of addressing urban economic and environmental challenges. Based on panel data of 249 Chinese cities from 2005 to 2020, this study uses a super-efficiency epsilon-based measure model and a Malmquist-Luenberger index to calculate the urban green total factor productivity (GTFP). Using the smart city pilot as a quasi-natural experiment, the time-varying difference-in-difference (DID) method is applied to determine the causal effect of smart city pilot on GTFP. Results show that smart city pilot increases urban GTFP in China, and a series of robust analyses have verified the reliability of the results. The heterogeneity analysis results show that the smart city pilot policy has a more significant positive effect on urban GTFP in the eastern and central regions, the high population group, and the high per capita GDP group. The mediating analysis further suggests that smart city pilot positively affects technological innovations and human capital which promotes urban GTFP. These findings are of great significance for smart city construction and coordinating the relationship between urban economic development and environmental protection. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract In recent years, the construction of smart cities has gradually become an effective means of addressing urban economic and environmental challenges. Based on panel data of 249 Chinese cities from 2005 to 2020, this study uses a super-efficiency epsilon-based measure model and a Malmquist-Luenberger index to calculate the urban green total factor productivity (GTFP). Using the smart city pilot as a quasi-natural experiment, the time-varying difference-in-difference (DID) method is applied to determine the causal effect of smart city pilot on GTFP. Results show that smart city pilot increases urban GTFP in China, and a series of robust analyses have verified the reliability of the results. The heterogeneity analysis results show that the smart city pilot policy has a more significant positive effect on urban GTFP in the eastern and central regions, the high population group, and the high per capita GDP group. The mediating analysis further suggests that smart city pilot positively affects technological innovations and human capital which promotes urban GTFP. These findings are of great significance for smart city construction and coordinating the relationship between urban economic development and environmental protection. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Does smart city pilot improve green total factor productivity? Evidence from Chinese cities |
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https://dx.doi.org/10.1007/s11356-023-31624-z |
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Shi, Runyi Luo, Yusen |
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Shi, Runyi Luo, Yusen |
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| doi_str |
10.1007/s11356-023-31624-z |
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2024-07-04T02:07:36.602Z |
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| score |
7.4001713 |