Drivers of China's high-quality development: The role of intangible factors
China's economy is shifting from high-growth to high-quality development, the core of which is promoting total factor productivity (TFP), especially with intangible factors. However, the role of intangible factors has been neglected in the literature. We investigate the drivers of TFP and ident...
Ausführliche Beschreibung
Autor*in: |
Gong, Maoyu [verfasserIn] Zhang, Ning [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Economic modelling - Amsterdam : Elsevier [u.a.], 1984, 124 |
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Übergeordnetes Werk: |
volume:124 |
DOI / URN: |
10.1016/j.econmod.2023.106294 |
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Katalog-ID: |
ELV009668764 |
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520 | |a China's economy is shifting from high-growth to high-quality development, the core of which is promoting total factor productivity (TFP), especially with intangible factors. However, the role of intangible factors has been neglected in the literature. We investigate the drivers of TFP and identify the contribution of intangible factors in China by constructing a global nonradial Luenberger productivity indicator (GLPI) and incorporating intangible factors (knowledge, data, and technology). The intangible factors are constructed through factor analysis using 37 indicators. We find that technological innovation is the largest driver of TFP change. Second, the contribution of intangible factors is larger than that of traditional factors (labor, capital, and energy). Intangible factors such as knowledge, data, and technology increase TFP by about 4.2%, 0.32%, and 5%, respectively, while contributing to reducing carbon emissions. Third, the contribution of intangible factors in TFP growth differs across geographical locations, economic development, and factor richness. | ||
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10.1016/j.econmod.2023.106294 doi (DE-627)ELV009668764 (ELSEVIER)S0264-9993(23)00106-2 DE-627 ger DE-627 rda eng 330 VZ Gong, Maoyu verfasserin aut Drivers of China's high-quality development: The role of intangible factors 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier China's economy is shifting from high-growth to high-quality development, the core of which is promoting total factor productivity (TFP), especially with intangible factors. However, the role of intangible factors has been neglected in the literature. We investigate the drivers of TFP and identify the contribution of intangible factors in China by constructing a global nonradial Luenberger productivity indicator (GLPI) and incorporating intangible factors (knowledge, data, and technology). The intangible factors are constructed through factor analysis using 37 indicators. We find that technological innovation is the largest driver of TFP change. Second, the contribution of intangible factors is larger than that of traditional factors (labor, capital, and energy). Intangible factors such as knowledge, data, and technology increase TFP by about 4.2%, 0.32%, and 5%, respectively, while contributing to reducing carbon emissions. Third, the contribution of intangible factors in TFP growth differs across geographical locations, economic development, and factor richness. High-quality development Contribution Intangible factors of production Zhang, Ning verfasserin aut Enthalten in Economic modelling Amsterdam : Elsevier [u.a.], 1984 124 Online-Ressource (DE-627)320507459 (DE-600)2013002-8 (DE-576)094056749 0264-9993 nnns volume:124 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_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_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_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_2088 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_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 124 |
spelling |
10.1016/j.econmod.2023.106294 doi (DE-627)ELV009668764 (ELSEVIER)S0264-9993(23)00106-2 DE-627 ger DE-627 rda eng 330 VZ Gong, Maoyu verfasserin aut Drivers of China's high-quality development: The role of intangible factors 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier China's economy is shifting from high-growth to high-quality development, the core of which is promoting total factor productivity (TFP), especially with intangible factors. However, the role of intangible factors has been neglected in the literature. We investigate the drivers of TFP and identify the contribution of intangible factors in China by constructing a global nonradial Luenberger productivity indicator (GLPI) and incorporating intangible factors (knowledge, data, and technology). The intangible factors are constructed through factor analysis using 37 indicators. We find that technological innovation is the largest driver of TFP change. Second, the contribution of intangible factors is larger than that of traditional factors (labor, capital, and energy). Intangible factors such as knowledge, data, and technology increase TFP by about 4.2%, 0.32%, and 5%, respectively, while contributing to reducing carbon emissions. Third, the contribution of intangible factors in TFP growth differs across geographical locations, economic development, and factor richness. High-quality development Contribution Intangible factors of production Zhang, Ning verfasserin aut Enthalten in Economic modelling Amsterdam : Elsevier [u.a.], 1984 124 Online-Ressource (DE-627)320507459 (DE-600)2013002-8 (DE-576)094056749 0264-9993 nnns volume:124 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_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_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_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_2088 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_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 124 |
allfields_unstemmed |
10.1016/j.econmod.2023.106294 doi (DE-627)ELV009668764 (ELSEVIER)S0264-9993(23)00106-2 DE-627 ger DE-627 rda eng 330 VZ Gong, Maoyu verfasserin aut Drivers of China's high-quality development: The role of intangible factors 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier China's economy is shifting from high-growth to high-quality development, the core of which is promoting total factor productivity (TFP), especially with intangible factors. However, the role of intangible factors has been neglected in the literature. We investigate the drivers of TFP and identify the contribution of intangible factors in China by constructing a global nonradial Luenberger productivity indicator (GLPI) and incorporating intangible factors (knowledge, data, and technology). The intangible factors are constructed through factor analysis using 37 indicators. We find that technological innovation is the largest driver of TFP change. Second, the contribution of intangible factors is larger than that of traditional factors (labor, capital, and energy). Intangible factors such as knowledge, data, and technology increase TFP by about 4.2%, 0.32%, and 5%, respectively, while contributing to reducing carbon emissions. Third, the contribution of intangible factors in TFP growth differs across geographical locations, economic development, and factor richness. High-quality development Contribution Intangible factors of production Zhang, Ning verfasserin aut Enthalten in Economic modelling Amsterdam : Elsevier [u.a.], 1984 124 Online-Ressource (DE-627)320507459 (DE-600)2013002-8 (DE-576)094056749 0264-9993 nnns volume:124 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_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_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_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_2088 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_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 124 |
allfieldsGer |
10.1016/j.econmod.2023.106294 doi (DE-627)ELV009668764 (ELSEVIER)S0264-9993(23)00106-2 DE-627 ger DE-627 rda eng 330 VZ Gong, Maoyu verfasserin aut Drivers of China's high-quality development: The role of intangible factors 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier China's economy is shifting from high-growth to high-quality development, the core of which is promoting total factor productivity (TFP), especially with intangible factors. However, the role of intangible factors has been neglected in the literature. We investigate the drivers of TFP and identify the contribution of intangible factors in China by constructing a global nonradial Luenberger productivity indicator (GLPI) and incorporating intangible factors (knowledge, data, and technology). The intangible factors are constructed through factor analysis using 37 indicators. We find that technological innovation is the largest driver of TFP change. Second, the contribution of intangible factors is larger than that of traditional factors (labor, capital, and energy). Intangible factors such as knowledge, data, and technology increase TFP by about 4.2%, 0.32%, and 5%, respectively, while contributing to reducing carbon emissions. Third, the contribution of intangible factors in TFP growth differs across geographical locations, economic development, and factor richness. High-quality development Contribution Intangible factors of production Zhang, Ning verfasserin aut Enthalten in Economic modelling Amsterdam : Elsevier [u.a.], 1984 124 Online-Ressource (DE-627)320507459 (DE-600)2013002-8 (DE-576)094056749 0264-9993 nnns volume:124 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_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_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_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_2088 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_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 124 |
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10.1016/j.econmod.2023.106294 doi (DE-627)ELV009668764 (ELSEVIER)S0264-9993(23)00106-2 DE-627 ger DE-627 rda eng 330 VZ Gong, Maoyu verfasserin aut Drivers of China's high-quality development: The role of intangible factors 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier China's economy is shifting from high-growth to high-quality development, the core of which is promoting total factor productivity (TFP), especially with intangible factors. However, the role of intangible factors has been neglected in the literature. We investigate the drivers of TFP and identify the contribution of intangible factors in China by constructing a global nonradial Luenberger productivity indicator (GLPI) and incorporating intangible factors (knowledge, data, and technology). The intangible factors are constructed through factor analysis using 37 indicators. We find that technological innovation is the largest driver of TFP change. Second, the contribution of intangible factors is larger than that of traditional factors (labor, capital, and energy). Intangible factors such as knowledge, data, and technology increase TFP by about 4.2%, 0.32%, and 5%, respectively, while contributing to reducing carbon emissions. Third, the contribution of intangible factors in TFP growth differs across geographical locations, economic development, and factor richness. High-quality development Contribution Intangible factors of production Zhang, Ning verfasserin aut Enthalten in Economic modelling Amsterdam : Elsevier [u.a.], 1984 124 Online-Ressource (DE-627)320507459 (DE-600)2013002-8 (DE-576)094056749 0264-9993 nnns volume:124 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_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_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_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_2088 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_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 124 |
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drivers of china's high-quality development: the role of intangible factors |
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Drivers of China's high-quality development: The role of intangible factors |
abstract |
China's economy is shifting from high-growth to high-quality development, the core of which is promoting total factor productivity (TFP), especially with intangible factors. However, the role of intangible factors has been neglected in the literature. We investigate the drivers of TFP and identify the contribution of intangible factors in China by constructing a global nonradial Luenberger productivity indicator (GLPI) and incorporating intangible factors (knowledge, data, and technology). The intangible factors are constructed through factor analysis using 37 indicators. We find that technological innovation is the largest driver of TFP change. Second, the contribution of intangible factors is larger than that of traditional factors (labor, capital, and energy). Intangible factors such as knowledge, data, and technology increase TFP by about 4.2%, 0.32%, and 5%, respectively, while contributing to reducing carbon emissions. Third, the contribution of intangible factors in TFP growth differs across geographical locations, economic development, and factor richness. |
abstractGer |
China's economy is shifting from high-growth to high-quality development, the core of which is promoting total factor productivity (TFP), especially with intangible factors. However, the role of intangible factors has been neglected in the literature. We investigate the drivers of TFP and identify the contribution of intangible factors in China by constructing a global nonradial Luenberger productivity indicator (GLPI) and incorporating intangible factors (knowledge, data, and technology). The intangible factors are constructed through factor analysis using 37 indicators. We find that technological innovation is the largest driver of TFP change. Second, the contribution of intangible factors is larger than that of traditional factors (labor, capital, and energy). Intangible factors such as knowledge, data, and technology increase TFP by about 4.2%, 0.32%, and 5%, respectively, while contributing to reducing carbon emissions. Third, the contribution of intangible factors in TFP growth differs across geographical locations, economic development, and factor richness. |
abstract_unstemmed |
China's economy is shifting from high-growth to high-quality development, the core of which is promoting total factor productivity (TFP), especially with intangible factors. However, the role of intangible factors has been neglected in the literature. We investigate the drivers of TFP and identify the contribution of intangible factors in China by constructing a global nonradial Luenberger productivity indicator (GLPI) and incorporating intangible factors (knowledge, data, and technology). The intangible factors are constructed through factor analysis using 37 indicators. We find that technological innovation is the largest driver of TFP change. Second, the contribution of intangible factors is larger than that of traditional factors (labor, capital, and energy). Intangible factors such as knowledge, data, and technology increase TFP by about 4.2%, 0.32%, and 5%, respectively, while contributing to reducing carbon emissions. Third, the contribution of intangible factors in TFP growth differs across geographical locations, economic development, and factor richness. |
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However, the role of intangible factors has been neglected in the literature. We investigate the drivers of TFP and identify the contribution of intangible factors in China by constructing a global nonradial Luenberger productivity indicator (GLPI) and incorporating intangible factors (knowledge, data, and technology). The intangible factors are constructed through factor analysis using 37 indicators. We find that technological innovation is the largest driver of TFP change. Second, the contribution of intangible factors is larger than that of traditional factors (labor, capital, and energy). Intangible factors such as knowledge, data, and technology increase TFP by about 4.2%, 0.32%, and 5%, respectively, while contributing to reducing carbon emissions. 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