Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model

•We use a partially linear function-coefficient model to explore the nonlinear moderating effect of the urban innovation environment on the impact of green technology innovation on carbon dioxide emissions.•There are heterogeneous impacts of green technology innovations on CO2 emissions in different...

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Published inTechnological forecasting & social change Vol. 176; p. 121434
Main Authors Lin, Boqiang, Ma, Ruiyang
Format Journal Article
LanguageEnglish
Published New York Elsevier Inc 01.03.2022
Elsevier Science Ltd
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Online AccessGet full text
ISSN0040-1625
1873-5509
DOI10.1016/j.techfore.2021.121434

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Abstract •We use a partially linear function-coefficient model to explore the nonlinear moderating effect of the urban innovation environment on the impact of green technology innovation on carbon dioxide emissions.•There are heterogeneous impacts of green technology innovations on CO2 emissions in different periods and different types of cities.•Green technology innovation can reduce CO2 emissions indirectly through industrial structure upgrading.•Government fiscal expenditure cannot significantly impact the CO2 reduction effect of green technologies.•The effect of green technology innovations on CO2 emissions is only significant when the human capital level of a city has reached a certain level. Green technology innovations have a better carbon emission reduction effect in cities with higher human capital levels. Green technology innovations are deemed as effective channels through which economic growth and environmental governance are balanced. However, empirical research on the nexus between green technology innovations and CO2 emissions, especially in developing countries, remains scant. Employing panel data on 264 prefecture-level cities from 2006 to 2017 in China, we explore the impact of the urban innovation environment on the effect of green technological innovations on CO2 emissions. The empirical results indicate that green technology innovations have a heterogeneous impact in different types of cities. Meanwhile, green technological innovations can contribute to CO2 emission mitigation after 2010, while the effect is not significant in Chinese cities before 2010. Secondly, green technology innovations can reduce CO2 emissions indirectly through industrial structure upgrading. Thirdly, when the urban innovation environment is considered, government fiscal expenditure cannot significantly impact the marginal effect of green technologies. Meanwhile, the marginal mitigation effect of green technology innovations on CO2 emissions is only significant when the human capital level of a city has reached a certain level. There is a better carbon emission reduction effect in cities with higher human capital levels. The results provide important enlightenment to realize the coordination and unity of economic transition to innovation-driven and green and low-carbon development.
AbstractList Green technology innovations are deemed as effective channels through which economic growth and environmental governance are balanced. However, empirical research on the nexus between green technology innovations and CO2 emissions, especially in developing countries, remains scant. Employing panel data on 264 prefecture-level cities from 2006 to 2017 in China, we explore the impact of the urban innovation environment on the effect of green technological innovations on CO2 emissions. The empirical results indicate that green technology innovations have a heterogeneous impact in different types of cities. Meanwhile, green technological innovations can contribute to CO2 emission mitigation after 2010, while the effect is not significant in Chinese cities before 2010. Secondly, green technology innovations can reduce CO2 emissions indirectly through industrial structure upgrading. Thirdly, when the urban innovation environment is considered, government fiscal expenditure cannot significantly impact the marginal effect of green technologies. Meanwhile, the marginal mitigation effect of green technology innovations on CO2 emissions is only significant when the human capital level of a city has reached a certain level. There is a better carbon emission reduction effect in cities with higher human capital levels. The results provide important enlightenment to realize the coordination and unity of economic transition to innovation-driven and green and low-carbon development.
•We use a partially linear function-coefficient model to explore the nonlinear moderating effect of the urban innovation environment on the impact of green technology innovation on carbon dioxide emissions.•There are heterogeneous impacts of green technology innovations on CO2 emissions in different periods and different types of cities.•Green technology innovation can reduce CO2 emissions indirectly through industrial structure upgrading.•Government fiscal expenditure cannot significantly impact the CO2 reduction effect of green technologies.•The effect of green technology innovations on CO2 emissions is only significant when the human capital level of a city has reached a certain level. Green technology innovations have a better carbon emission reduction effect in cities with higher human capital levels. Green technology innovations are deemed as effective channels through which economic growth and environmental governance are balanced. However, empirical research on the nexus between green technology innovations and CO2 emissions, especially in developing countries, remains scant. Employing panel data on 264 prefecture-level cities from 2006 to 2017 in China, we explore the impact of the urban innovation environment on the effect of green technological innovations on CO2 emissions. The empirical results indicate that green technology innovations have a heterogeneous impact in different types of cities. Meanwhile, green technological innovations can contribute to CO2 emission mitigation after 2010, while the effect is not significant in Chinese cities before 2010. Secondly, green technology innovations can reduce CO2 emissions indirectly through industrial structure upgrading. Thirdly, when the urban innovation environment is considered, government fiscal expenditure cannot significantly impact the marginal effect of green technologies. Meanwhile, the marginal mitigation effect of green technology innovations on CO2 emissions is only significant when the human capital level of a city has reached a certain level. There is a better carbon emission reduction effect in cities with higher human capital levels. The results provide important enlightenment to realize the coordination and unity of economic transition to innovation-driven and green and low-carbon development.
ArticleNumber 121434
Author Lin, Boqiang
Ma, Ruiyang
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  givenname: Ruiyang
  surname: Ma
  fullname: Ma, Ruiyang
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Cites_doi 10.1016/j.jclepro.2020.121575
10.1007/s11356-016-8070-6
10.1016/j.techfore.2020.120327
10.1016/j.eneco.2021.105247
10.1016/j.techfore.2021.120797
10.1016/j.techfore.2020.120094
10.1016/j.apenergy.2016.11.004
10.1016/j.techfore.2019.06.010
10.1038/s41893-019-0323-1
10.1016/j.techfore.2021.120751
10.1007/s11356-019-05911-7
10.1007/s10018-015-0126-1
10.1016/j.eneco.2021.105269
10.1016/j.ceqi.2021.05.001
10.1016/j.enpol.2016.09.003
10.1016/j.apenergy.2017.05.085
10.1016/j.techfore.2017.05.029
10.1080/09537325.2015.1019453
10.1257/aer.102.1.131
10.1177/1536867X20976339
10.1038/s41561-018-0161-1
10.1038/sdata.2019.27
10.1016/j.techfore.2021.121047
10.1016/j.enpol.2019.04.033
10.1007/s11356-019-04513-7
10.1016/j.jclepro.2017.06.075
10.1016/j.techfore.2021.120744
10.1016/j.respol.2014.11.013
10.1080/09537325.2015.1095291
10.1016/j.enpol.2021.112255
10.1016/j.ecolind.2014.09.039
10.1016/j.apenergy.2016.06.094
10.1016/j.apenergy.2016.10.052
10.1016/j.techfore.2018.04.023
10.1016/j.eneco.2020.104983
10.1007/s10640-017-0176-x
10.1016/j.eneco.2017.05.016
10.1016/j.eneco.2017.12.012
10.1016/j.resourpol.2021.102329
10.1016/j.techfore.2019.04.023
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References Xu, Fan, Yang, Shao (bib0040) 2021; 99
Hu, Xi, Zhang (bib0019) 2021; 169
Wang, Liu (bib0034) 2017; 200
Fang, Gozgor, Lu, Wu (bib0013) 2019; 26
Wurlod, Noailly (bib0037) 2018; 71
Mi, Zhang, Guan, Shan, Liu, Cong, Yuan, Wei (bib0025) 2016; 184
Chen, Zhang, Wu, Cai (bib0005) 2020; 268
Wu, Sun, Qi, Ren, Sun (bib0036) 2021; 74
Kammen, Daniel, Gang (bib0023) 2016
Du, Li, Yan (bib0009) 2019; 146
Du, Li (bib0012) 2019; 131
Shao, Chen, Li, Yang (bib0029) 2019; 248
Zh, Gl, Zl (bib0043) 2019; 144
Ahmed, Wang (bib0003) 2019; 26
Ai, Deng, Yang (bib0004) 2015; 51
Wang, Fan, Zhao, Wang (bib0032) 2016; 28
Xie, Wei, Han, Lu, Fang, Liu, Wang (bib0038) 2019; 144
Du, Zhang, Zhou (bib0011) 2020; 20
Song, Zhang, Song, Fan, Zhu, Zhang (bib0030) 2020; 157
Du, Cheng, Yao (bib0008) 2021; 98
Herrera, Montmartin, Benjamin (bib0018) 2015; 44
Chen, Gao, Cheng, Liu, Fan (bib0006) 2021; 11
Jacobson, Kler, Hernke, Braun, Meyer, Funk (bib0021) 2019
Weina, Gilli, Mazzanti, Nicolli, Mazzanti, Managi, Crespi, Managi, Mazzanti, Crespi (bib0035) 2016; 18
Sun, Yu, Qin (bib0031) 2017; 185
Yu, Wu, Zhang, Chen, Zhao (bib0042) 2021; 153
Guan, Meng, Reiner, Zhang, Shan, Mi, Shao, Liu, Zhang, Davis (bib0017) 2018; 11
Johnstone, Hai, Popp (bib0022) 2017
Adedoyin, Ozturk, Abubakar, Kumeka, Folarin, Bekun (bib0002) 2020; 266
Gao, Yuan (bib0014) 2021; 172
Shan, Liu, Liu, Shao, Guan (bib0028) 2019; 6
Zhao, Shahbaz, Dong, Dong (bib0044) 2021; 168
Shan, Guan, Liu, Mi, Liu, Liu, Schroeder, Cai, Chen, Shao, Zhang (bib0027) 2017; 161
García-Quevedo, Segarra-Blasco, Teruel (bib0015) 2018; 127
Gozgor, Can (bib0016) 2017; 24
Hu (bib0020) 2021; 162
Wang, Liu, Zhou, Hu, Ou (bib0033) 2017; 185
Lin, Long (bib0024) 2021; 1
Acemoglu, Aghion, Bursztyn, Hemous (bib0001) 2012; 102
Du, Yu, Li (bib0010) 2020; 92
Salim, Yao, Chen (bib0026) 2017; 67
Chen, Zhang, Chen (bib0007) 2021; 168
Yang, Xun, He (bib0041) 2015; 27
Xu, Lin (bib0039) 2016; 98
Yang (10.1016/j.techfore.2021.121434_bib0041) 2015; 27
Gozgor (10.1016/j.techfore.2021.121434_bib0016) 2017; 24
Mi (10.1016/j.techfore.2021.121434_bib0025) 2016; 184
Kammen (10.1016/j.techfore.2021.121434_bib0023) 2016
Guan (10.1016/j.techfore.2021.121434_bib0017) 2018; 11
Shan (10.1016/j.techfore.2021.121434_bib0027) 2017; 161
Jacobson (10.1016/j.techfore.2021.121434_bib0021) 2019
Shao (10.1016/j.techfore.2021.121434_bib0029) 2019; 248
Xu (10.1016/j.techfore.2021.121434_bib0039) 2016; 98
Chen (10.1016/j.techfore.2021.121434_bib0007) 2021; 168
Ahmed (10.1016/j.techfore.2021.121434_bib0003) 2019; 26
Chen (10.1016/j.techfore.2021.121434_bib0006) 2021; 11
Xie (10.1016/j.techfore.2021.121434_bib0038) 2019; 144
Hu (10.1016/j.techfore.2021.121434_bib0019) 2021; 169
Sun (10.1016/j.techfore.2021.121434_bib0031) 2017; 185
Du (10.1016/j.techfore.2021.121434_bib0009) 2019; 146
Acemoglu (10.1016/j.techfore.2021.121434_bib0001) 2012; 102
Gao (10.1016/j.techfore.2021.121434_bib0014) 2021; 172
Chen (10.1016/j.techfore.2021.121434_bib0005) 2020; 268
Ai (10.1016/j.techfore.2021.121434_bib0004) 2015; 51
Du (10.1016/j.techfore.2021.121434_bib0011) 2020; 20
Shan (10.1016/j.techfore.2021.121434_bib0028) 2019; 6
Zh (10.1016/j.techfore.2021.121434_bib0043) 2019; 144
Herrera (10.1016/j.techfore.2021.121434_bib0018) 2015; 44
Wang (10.1016/j.techfore.2021.121434_bib0034) 2017; 200
Weina (10.1016/j.techfore.2021.121434_bib0035) 2016; 18
Zhao (10.1016/j.techfore.2021.121434_bib0044) 2021; 168
Du (10.1016/j.techfore.2021.121434_bib0010) 2020; 92
Song (10.1016/j.techfore.2021.121434_bib0030) 2020; 157
Wurlod (10.1016/j.techfore.2021.121434_bib0037) 2018; 71
Adedoyin (10.1016/j.techfore.2021.121434_bib0002) 2020; 266
Du (10.1016/j.techfore.2021.121434_bib0012) 2019; 131
Wu (10.1016/j.techfore.2021.121434_bib0036) 2021; 74
Wang (10.1016/j.techfore.2021.121434_bib0032) 2016; 28
Yu (10.1016/j.techfore.2021.121434_bib0042) 2021; 153
Du (10.1016/j.techfore.2021.121434_bib0008) 2021; 98
Wang (10.1016/j.techfore.2021.121434_bib0033) 2017; 185
Salim (10.1016/j.techfore.2021.121434_bib0026) 2017; 67
Hu (10.1016/j.techfore.2021.121434_bib0020) 2021; 162
Fang (10.1016/j.techfore.2021.121434_bib0013) 2019; 26
García-Quevedo (10.1016/j.techfore.2021.121434_bib0015) 2018; 127
Xu (10.1016/j.techfore.2021.121434_bib0040) 2021; 99
Lin (10.1016/j.techfore.2021.121434_bib0024) 2021; 1
Johnstone (10.1016/j.techfore.2021.121434_bib0022) 2017
References_xml – volume: 168
  year: 2021
  ident: bib0007
  article-title: Do carbon emission trading schemes stimulate green innovation in enterprises? Evidence from China
  publication-title: Technological Forecasting & Social Change
– year: 2019
  ident: bib0021
  article-title: Direct human health risks of increased atmospheric carbon dioxide
  publication-title: Nature Sustainability
– year: 2016
  ident: bib0023
  article-title: Where, when and how much solar is available? A provincial-scale solar resource assessment for China
  publication-title: Renewable Energy
– volume: 131
  start-page: 240
  year: 2019
  end-page: 250
  ident: bib0012
  article-title: Towards a green world: How do green technology innovations affect total-factor carbon productivity
  publication-title: Energy Policy
– volume: 161
  start-page: 1215
  year: 2017
  end-page: 1225
  ident: bib0027
  article-title: Methodology and applications of city level CO
  publication-title: Journal of Cleaner Production
– volume: 18
  start-page: 247
  year: 2016
  end-page: 263
  ident: bib0035
  article-title: Green inventions and greenhouse gas emission dynamics: a close examination of provincial Italian data
  publication-title: Environmental Economics and Policy Studies
– volume: 74
  year: 2021
  ident: bib0036
  article-title: Energy endowment, industrial structure upgrading, and CO
  publication-title: Resources Policy
– volume: 162
  year: 2021
  ident: bib0020
  article-title: Is knowledge spillover from human capital investment a catalyst for technological innovation? The curious case of fourth industrial revolution in BRICS economies
  publication-title: Technological Forecasting & Social Change
– volume: 11
  start-page: 551
  year: 2018
  end-page: 555
  ident: bib0017
  article-title: Structural decline in China’s CO
  publication-title: Nature Geoscience
– volume: 268
  year: 2020
  ident: bib0005
  article-title: Revisiting the environmental Kuznets curve for city-level CO
  publication-title: Journal of Cleaner Production
– volume: 6
  year: 2019
  ident: bib0028
  article-title: An emissions-socioeconomic inventory of Chinese cities
  publication-title: Scientific Data
– volume: 266
  year: 2020
  ident: bib0002
  article-title: Structural breaks in CO
  publication-title: Journal of Environmental Managment
– volume: 20
  start-page: 976
  year: 2020
  end-page: 998
  ident: bib0011
  article-title: Fitting partially linear functional-coefficient panel-data models with Stata
  publication-title: Stata Journal
– volume: 67
  start-page: 49
  year: 2017
  end-page: 59
  ident: bib0026
  article-title: Does human capital matter for energy consumption in China?
  publication-title: Energy Economics
– volume: 99
  year: 2021
  ident: bib0040
  article-title: Heterogeneous green innovations and carbon emission performance: Evidence at China’s city level
  publication-title: Energy Economics
– volume: 146
  start-page: 297
  year: 2019
  end-page: 303
  ident: bib0009
  article-title: Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data
  publication-title: Technological Forecasting & Social Change
– volume: 248
  year: 2019
  ident: bib0029
  article-title: Market segmentation and urban CO
  publication-title: Journal of Environmental Managment
– volume: 144
  start-page: 148
  year: 2019
  end-page: 156
  ident: bib0043
  article-title: Loaning scale and government subsidy for promoting green innovation
  publication-title: Technological Forecasting & Social Change
– volume: 184
  start-page: 1073
  year: 2016
  end-page: 1081
  ident: bib0025
  article-title: Consumption-based emission accounting for Chinese cities
  publication-title: Applied Energy
– volume: 168
  year: 2021
  ident: bib0044
  article-title: How does financial risk affect global CO
  publication-title: Technological Forecasting & Social Change
– volume: 26
  year: 2019
  ident: bib0003
  article-title: Investigating the impact of human capital on the ecological footprint in India: An empirical analysis
  publication-title: Environmental Science and Pollution Research
– volume: 98
  start-page: 328
  year: 2016
  end-page: 342
  ident: bib0039
  article-title: A quantile regression analysis of China’s provincial CO
  publication-title: Energy Policy
– volume: 153
  year: 2021
  ident: bib0042
  article-title: Demand for green finance: Resolving financing constraints on green innovation in China
  publication-title: Energy Policy
– year: 2017
  ident: bib0022
  article-title: Erratum to: Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts
  publication-title: Environmental and Resource Economics
– volume: 144
  start-page: 421
  year: 2019
  end-page: 427
  ident: bib0038
  article-title: The effect of traffic density on smog pollution: Evidence from Chinese cities
  publication-title: Technological Forecasting & Social Change
– volume: 200
  start-page: 204
  year: 2017
  end-page: 214
  ident: bib0034
  article-title: China’s city-level energy-related CO
  publication-title: Applied Energy
– volume: 71
  start-page: 47
  year: 2018
  end-page: 61
  ident: bib0037
  article-title: The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries
  publication-title: Energy Economics
– volume: 127
  start-page: 127
  year: 2018
  end-page: 140
  ident: bib0015
  article-title: Financial constraints and the failure of innovation projects
  publication-title: Technological Forecasting & Social Change
– volume: 44
  start-page: 1065
  year: 2015
  end-page: 1079
  ident: bib0018
  article-title: Internal and external effects of R&D subsidies and fiscal incentives: Empirical evidence using spatial dynamic panel models
  publication-title: Research Policy
– volume: 157
  year: 2020
  ident: bib0030
  article-title: Can industry-university-research collaborative innovation efficiency reduce carbon emissions?
  publication-title: Technological Forecasting & Social Change
– volume: 185
  start-page: 189
  year: 2017
  end-page: 200
  ident: bib0033
  article-title: Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO
  publication-title: Applied Energy
– volume: 26
  start-page: 12181
  year: 2019
  end-page: 12193
  ident: bib0013
  article-title: Effects of the export product quality on carbon dioxide emissions: evidence from developing economies
  publication-title: Environmental Science and Pollution Research
– volume: 51
  start-page: 67
  year: 2015
  end-page: 78
  ident: bib0004
  article-title: The effect estimation and channel testing of the technological progress on China’s regional environmental performance
  publication-title: Ecological Indicators
– volume: 102
  start-page: 131
  year: 2012
  end-page: 166
  ident: bib0001
  article-title: The Environment and Directed Technical Change
  publication-title: American Economic Review
– volume: 92
  year: 2020
  ident: bib0010
  article-title: Does international trade promote CO
  publication-title: Energy Economics
– volume: 169
  year: 2021
  ident: bib0019
  article-title: Influencing mechanism of reverse knowledge spillover on investment enterprises’ technological progress: An empirical examination of Chinese firms
  publication-title: Technological Forecasting & Social Change
– volume: 28
  start-page: 396
  year: 2016
  end-page: 410
  ident: bib0032
  article-title: Regional innovation environment and innovation efficiency: the Chinese case
  publication-title: Technology Analysis & Strategic Management
– volume: 98
  year: 2021
  ident: bib0008
  article-title: Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities
  publication-title: Energy Economics
– volume: 172
  year: 2021
  ident: bib0014
  article-title: The effect of innovation-driven development on pollution reduction: Empirical evidence from a quasi-natural experiment in China
  publication-title: Technological Forecasting & Social Change
– volume: 11
  year: 2021
  ident: bib0006
  article-title: China's city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
  publication-title: Scientific Reports
– volume: 24
  start-page: 2866
  year: 2017
  end-page: 2875
  ident: bib0016
  article-title: Does export product quality matter for CO
  publication-title: Environmental Science and Pollution Research
– volume: 27
  start-page: 586
  year: 2015
  end-page: 603
  ident: bib0041
  article-title: British SMEs’ e-commerce technological investments and firm performance: an RBV perspective
  publication-title: Technology Analysis & Strategic Management
– volume: 1
  start-page: 160
  year: 2021
  end-page: 175
  ident: bib0024
  article-title: Do discretion criteria for patent administrative law enforcement encourage innovation among firms?
  publication-title: China Economic Quarterly International
– volume: 185
  start-page: 421
  year: 2017
  end-page: 439
  ident: bib0031
  article-title: Should China focus on the distributed development of wind and solar photovoltaic power generation? A comparative study
  publication-title: Applied Energy
– volume: 268
  year: 2020
  ident: 10.1016/j.techfore.2021.121434_bib0005
  article-title: Revisiting the environmental Kuznets curve for city-level CO2 emissions: based on corrected NPP-VIIRS nighttime light data in China
  publication-title: Journal of Cleaner Production
  doi: 10.1016/j.jclepro.2020.121575
– volume: 24
  start-page: 2866
  issue: 3
  year: 2017
  ident: 10.1016/j.techfore.2021.121434_bib0016
  article-title: Does export product quality matter for CO2 emissions? Evidence from China
  publication-title: Environmental Science and Pollution Research
  doi: 10.1007/s11356-016-8070-6
– volume: 162
  year: 2021
  ident: 10.1016/j.techfore.2021.121434_bib0020
  article-title: Is knowledge spillover from human capital investment a catalyst for technological innovation? The curious case of fourth industrial revolution in BRICS economies
  publication-title: Technological Forecasting & Social Change
  doi: 10.1016/j.techfore.2020.120327
– volume: 98
  year: 2021
  ident: 10.1016/j.techfore.2021.121434_bib0008
  article-title: Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities
  publication-title: Energy Economics
  doi: 10.1016/j.eneco.2021.105247
– volume: 169
  year: 2021
  ident: 10.1016/j.techfore.2021.121434_bib0019
  article-title: Influencing mechanism of reverse knowledge spillover on investment enterprises’ technological progress: An empirical examination of Chinese firms
  publication-title: Technological Forecasting & Social Change
  doi: 10.1016/j.techfore.2021.120797
– volume: 157
  year: 2020
  ident: 10.1016/j.techfore.2021.121434_bib0030
  article-title: Can industry-university-research collaborative innovation efficiency reduce carbon emissions?
  publication-title: Technological Forecasting & Social Change
  doi: 10.1016/j.techfore.2020.120094
– volume: 185
  start-page: 421
  year: 2017
  ident: 10.1016/j.techfore.2021.121434_bib0031
  article-title: Should China focus on the distributed development of wind and solar photovoltaic power generation? A comparative study
  publication-title: Applied Energy
  doi: 10.1016/j.apenergy.2016.11.004
– volume: 146
  start-page: 297
  year: 2019
  ident: 10.1016/j.techfore.2021.121434_bib0009
  article-title: Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data
  publication-title: Technological Forecasting & Social Change
  doi: 10.1016/j.techfore.2019.06.010
– year: 2019
  ident: 10.1016/j.techfore.2021.121434_bib0021
  article-title: Direct human health risks of increased atmospheric carbon dioxide
  publication-title: Nature Sustainability
  doi: 10.1038/s41893-019-0323-1
– volume: 168
  year: 2021
  ident: 10.1016/j.techfore.2021.121434_bib0044
  article-title: How does financial risk affect global CO2 emissions? The role of technological innovation
  publication-title: Technological Forecasting & Social Change
  doi: 10.1016/j.techfore.2021.120751
– volume: 26
  issue: 26
  year: 2019
  ident: 10.1016/j.techfore.2021.121434_bib0003
  article-title: Investigating the impact of human capital on the ecological footprint in India: An empirical analysis
  publication-title: Environmental Science and Pollution Research
  doi: 10.1007/s11356-019-05911-7
– volume: 18
  start-page: 247
  issue: 2
  year: 2016
  ident: 10.1016/j.techfore.2021.121434_bib0035
  article-title: Green inventions and greenhouse gas emission dynamics: a close examination of provincial Italian data
  publication-title: Environmental Economics and Policy Studies
  doi: 10.1007/s10018-015-0126-1
– volume: 99
  year: 2021
  ident: 10.1016/j.techfore.2021.121434_bib0040
  article-title: Heterogeneous green innovations and carbon emission performance: Evidence at China’s city level
  publication-title: Energy Economics
  doi: 10.1016/j.eneco.2021.105269
– volume: 1
  start-page: 160
  issue: 2
  year: 2021
  ident: 10.1016/j.techfore.2021.121434_bib0024
  article-title: Do discretion criteria for patent administrative law enforcement encourage innovation among firms?
  publication-title: China Economic Quarterly International
  doi: 10.1016/j.ceqi.2021.05.001
– volume: 98
  start-page: 328
  year: 2016
  ident: 10.1016/j.techfore.2021.121434_bib0039
  article-title: A quantile regression analysis of China’s provincial CO2 emissions: Where does the difference lie?
  publication-title: Energy Policy
  doi: 10.1016/j.enpol.2016.09.003
– volume: 200
  start-page: 204
  year: 2017
  ident: 10.1016/j.techfore.2021.121434_bib0034
  article-title: China’s city-level energy-related CO2 emissions: Spatiotemporal patterns and driving forces
  publication-title: Applied Energy
  doi: 10.1016/j.apenergy.2017.05.085
– volume: 127
  start-page: 127
  year: 2018
  ident: 10.1016/j.techfore.2021.121434_bib0015
  article-title: Financial constraints and the failure of innovation projects
  publication-title: Technological Forecasting & Social Change
  doi: 10.1016/j.techfore.2017.05.029
– volume: 248
  year: 2019
  ident: 10.1016/j.techfore.2021.121434_bib0029
  article-title: Market segmentation and urban CO2 emissions in China: Evidence from the Yangtze River Delta region
  publication-title: Journal of Environmental Managment
– volume: 27
  start-page: 586
  issue: 5
  year: 2015
  ident: 10.1016/j.techfore.2021.121434_bib0041
  article-title: British SMEs’ e-commerce technological investments and firm performance: an RBV perspective
  publication-title: Technology Analysis & Strategic Management
  doi: 10.1080/09537325.2015.1019453
– volume: 102
  start-page: 131
  issue: 1
  year: 2012
  ident: 10.1016/j.techfore.2021.121434_bib0001
  article-title: The Environment and Directed Technical Change
  publication-title: American Economic Review
  doi: 10.1257/aer.102.1.131
– volume: 20
  start-page: 976
  issue: 4
  year: 2020
  ident: 10.1016/j.techfore.2021.121434_bib0011
  article-title: Fitting partially linear functional-coefficient panel-data models with Stata
  publication-title: Stata Journal
  doi: 10.1177/1536867X20976339
– volume: 11
  issue: 1
  year: 2021
  ident: 10.1016/j.techfore.2021.121434_bib0006
  article-title: China's city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data
  publication-title: Scientific Reports
– volume: 11
  start-page: 551
  issue: 8
  year: 2018
  ident: 10.1016/j.techfore.2021.121434_bib0017
  article-title: Structural decline in China’s CO2 emissions through transitions in industry and energy systems
  publication-title: Nature Geoscience
  doi: 10.1038/s41561-018-0161-1
– volume: 6
  issue: 1
  year: 2019
  ident: 10.1016/j.techfore.2021.121434_bib0028
  article-title: An emissions-socioeconomic inventory of Chinese cities
  publication-title: Scientific Data
  doi: 10.1038/sdata.2019.27
– volume: 172
  year: 2021
  ident: 10.1016/j.techfore.2021.121434_bib0014
  article-title: The effect of innovation-driven development on pollution reduction: Empirical evidence from a quasi-natural experiment in China
  publication-title: Technological Forecasting & Social Change
  doi: 10.1016/j.techfore.2021.121047
– volume: 266
  year: 2020
  ident: 10.1016/j.techfore.2021.121434_bib0002
  article-title: Structural breaks in CO2 emissions: Are they caused by climate change protests or other factors?
  publication-title: Journal of Environmental Managment
– volume: 131
  start-page: 240
  year: 2019
  ident: 10.1016/j.techfore.2021.121434_bib0012
  article-title: Towards a green world: How do green technology innovations affect total-factor carbon productivity
  publication-title: Energy Policy
  doi: 10.1016/j.enpol.2019.04.033
– volume: 26
  start-page: 12181
  issue: 12
  year: 2019
  ident: 10.1016/j.techfore.2021.121434_bib0013
  article-title: Effects of the export product quality on carbon dioxide emissions: evidence from developing economies
  publication-title: Environmental Science and Pollution Research
  doi: 10.1007/s11356-019-04513-7
– volume: 161
  start-page: 1215
  year: 2017
  ident: 10.1016/j.techfore.2021.121434_bib0027
  article-title: Methodology and applications of city level CO2 emission accounts in China
  publication-title: Journal of Cleaner Production
  doi: 10.1016/j.jclepro.2017.06.075
– volume: 168
  year: 2021
  ident: 10.1016/j.techfore.2021.121434_bib0007
  article-title: Do carbon emission trading schemes stimulate green innovation in enterprises? Evidence from China
  publication-title: Technological Forecasting & Social Change
  doi: 10.1016/j.techfore.2021.120744
– volume: 44
  start-page: 1065
  issue: 5
  year: 2015
  ident: 10.1016/j.techfore.2021.121434_bib0018
  article-title: Internal and external effects of R&D subsidies and fiscal incentives: Empirical evidence using spatial dynamic panel models
  publication-title: Research Policy
  doi: 10.1016/j.respol.2014.11.013
– volume: 28
  start-page: 396
  issue: 4
  year: 2016
  ident: 10.1016/j.techfore.2021.121434_bib0032
  article-title: Regional innovation environment and innovation efficiency: the Chinese case
  publication-title: Technology Analysis & Strategic Management
  doi: 10.1080/09537325.2015.1095291
– volume: 153
  year: 2021
  ident: 10.1016/j.techfore.2021.121434_bib0042
  article-title: Demand for green finance: Resolving financing constraints on green innovation in China
  publication-title: Energy Policy
  doi: 10.1016/j.enpol.2021.112255
– volume: 51
  start-page: 67
  year: 2015
  ident: 10.1016/j.techfore.2021.121434_bib0004
  article-title: The effect estimation and channel testing of the technological progress on China’s regional environmental performance
  publication-title: Ecological Indicators
  doi: 10.1016/j.ecolind.2014.09.039
– volume: 184
  start-page: 1073
  year: 2016
  ident: 10.1016/j.techfore.2021.121434_bib0025
  article-title: Consumption-based emission accounting for Chinese cities
  publication-title: Applied Energy
  doi: 10.1016/j.apenergy.2016.06.094
– volume: 185
  start-page: 189
  year: 2017
  ident: 10.1016/j.techfore.2021.121434_bib0033
  article-title: Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities
  publication-title: Applied Energy
  doi: 10.1016/j.apenergy.2016.10.052
– volume: 144
  start-page: 421
  year: 2019
  ident: 10.1016/j.techfore.2021.121434_bib0038
  article-title: The effect of traffic density on smog pollution: Evidence from Chinese cities
  publication-title: Technological Forecasting & Social Change
  doi: 10.1016/j.techfore.2018.04.023
– volume: 92
  year: 2020
  ident: 10.1016/j.techfore.2021.121434_bib0010
  article-title: Does international trade promote CO2 emission performance? An empirical analysis based on a partially linear functional-coefficient panel data model
  publication-title: Energy Economics
  doi: 10.1016/j.eneco.2020.104983
– year: 2017
  ident: 10.1016/j.techfore.2021.121434_bib0022
  article-title: Erratum to: Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts
  publication-title: Environmental and Resource Economics
  doi: 10.1007/s10640-017-0176-x
– volume: 67
  start-page: 49
  year: 2017
  ident: 10.1016/j.techfore.2021.121434_bib0026
  article-title: Does human capital matter for energy consumption in China?
  publication-title: Energy Economics
  doi: 10.1016/j.eneco.2017.05.016
– volume: 71
  start-page: 47
  year: 2018
  ident: 10.1016/j.techfore.2021.121434_bib0037
  article-title: The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries
  publication-title: Energy Economics
  doi: 10.1016/j.eneco.2017.12.012
– volume: 74
  year: 2021
  ident: 10.1016/j.techfore.2021.121434_bib0036
  article-title: Energy endowment, industrial structure upgrading, and CO2 emissions in China: Revisiting resource curse in the context of carbon emissions
  publication-title: Resources Policy
  doi: 10.1016/j.resourpol.2021.102329
– volume: 144
  start-page: 148
  year: 2019
  ident: 10.1016/j.techfore.2021.121434_bib0043
  article-title: Loaning scale and government subsidy for promoting green innovation
  publication-title: Technological Forecasting & Social Change
  doi: 10.1016/j.techfore.2019.04.023
– year: 2016
  ident: 10.1016/j.techfore.2021.121434_bib0023
  article-title: Where, when and how much solar is available? A provincial-scale solar resource assessment for China
  publication-title: Renewable Energy
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Snippet •We use a partially linear function-coefficient model to explore the nonlinear moderating effect of the urban innovation environment on the impact of green...
Green technology innovations are deemed as effective channels through which economic growth and environmental governance are balanced. However, empirical...
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SubjectTerms Carbon dioxide
Cities
Clean technology
CO2 emissions
Developing countries
Economic development
Economic growth
Economic models
Emissions control
Environment
Governance
Government
Green technology innovations
Human capital
Innovations
LDCs
Panel data
Partially linear functional-coefficient models
Technological change
Technology
Urban areas
Urban innovation environment
Title Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model
URI https://dx.doi.org/10.1016/j.techfore.2021.121434
https://www.proquest.com/docview/2640404463
Volume 176
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