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Research on coordination level and influencing factors spatial heterogeneity of China's urban CO2 emissions
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Research on coordination level and influencing factors spatial heterogeneity of China's urban CO2 emissions (2021)Research on coordination level and influe…Per-capita carbon emissions in 147 countries: The effect of economic, energy, social, and trade structural changes (2021)Per-capita carbon emissions i…Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries (2021)Impacts of urbanization on ca…Financial development, openness, innovation, carbon emissions, and economic growth in China (2021)Financial development, openne…Exploring the impact of urbanization on urban building carbon emissions in China: Evidence from a provincial panel data model (2020)Exploring the impact of urban…Driving forces of carbon dioxide emissions in China’s cities: An empirical analysis based on the geodetector method (2020)Driving forces of carbon diox…Coupling coordination between carbon emissions and the eco-environment in China (2020)Coupling coordination between…County-level CO2 emissions and sequestration in China during 1997–2017 (2020)County-level CO2 emissions an…Carbon emissions, the industrial structure and economic growth: Evidence from heterogeneous industries in China (2020)Carbon emissions, the industr…Analysis on the influencing factors of carbon emission in China's logistics industry based on LMDI method (2020)Analysis on the influencing f…The role of trade and FDI for CO2 emissions in Turkey: Nonlinear relationships (2019)The role of trade and FDI for…The effects of urbanization and industrialization on decoupling economic growth from carbon emission – A case study of China (2019)The effects of urbanization a…Spatial spillover effect and driving forces of carbon emission intensity at the city level in China (2019)Spatial spillover effect and …mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale (2019)mgwr: A Python Implementation…High resolution carbon emissions simulation and spatial heterogeneity analysis based on big data in Nanjing City, China (2019)High resolution carbon emissi…Improved coupling analysis on the coordination between socio-economy and carbon emission (2018)Improved coupling analysis on…Factors that Influence the Tourism Industry's Carbon Emissions: a Tourism Area Life Cycle Model Perspective (2017)Factors that Influence the To…Spatially explicit carbon emissions by remote sensing and social sensing (2023)Spatially explicit carbon emi…Spatio-temporal evolution relationships between provincial CO2 emissions and driving factors using geographically and temporally weighted regression model (2022)Spatio-temporal evolution rel…Scientometric Analysis for Spatial Autocorrelation-Related Research from 1991 to 2021 (2022)Scientometric Analysis for Sp…Statistical Inference in Instrumental Variables Regression with I(1) Processes (1990)Bounds testing approaches to the analysis of level relationships (2001)Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework (2014)Can innovation shocks determine CO2 emissions (CO2e) in the OECD economies? 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References

  • 2019mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale829 cited
  • 2020County-level CO2 emissions and sequestration in China during 1997–2017818 cited
  • 2021Per-capita carbon emissions in 147 countries: The effect of economic, energy, social, and trade structural changes591 cited
  • 2021Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries468 cited
  • 2019The role of trade and FDI for CO2 emissions in Turkey: Nonlinear relationships340 cited
  • 2020Exploring the impact of urbanization on urban building carbon emissions in China: Evidence from a provincial panel data model303 cited
  • 2020Carbon emissions, the industrial structure and economic growth: Evidence from heterogeneous industries in China260 cited
  • 2020Analysis on the influencing factors of carbon emission in China's logistics industry based on LMDI method260 cited
  • 2021Financial development, openness, innovation, carbon emissions, and economic growth in China227 cited
  • 2019The effects of urbanization and industrialization on decoupling economic growth from carbon emission – A case study of China222 cited
  • 2019Spatial spillover effect and driving forces of carbon emission intensity at the city level in China206 cited
  • 2018Improved coupling analysis on the coordination between socio-economy and carbon emission176 cited
  • 2017Factors that Influence the Tourism Industry's Carbon Emissions: a Tourism Area Life Cycle Model Perspective

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166 cited
  • 2020Driving forces of carbon dioxide emissions in China’s cities: An empirical analysis based on the geodetector method150 cited
  • 2019High resolution carbon emissions simulation and spatial heterogeneity analysis based on big data in Nanjing City, China138 cited
  • 2020Coupling coordination between carbon emissions and the eco-environment in China128 cited
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    • 2022Spatio-temporal evolution relationships between provincial CO2 emissions and driving factors using geographically and temporally weighted regression model81 cited
    • 2023Spatially explicit carbon emissions by remote sensing and social sensing73 cited
    • 2022Scientometric Analysis for Spatial Autocorrelation-Related Research from 1991 to 202114 cited