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Interregional carbon compensation cost forecast and priority index calculation based on the theoretical carbon deficit: China as a case
11 references·0 citing·49 second hop
Interregional carbon compensation cost forecast and priority index calculation based on the theoretical carbon deficit: China as a case (2018)Interregional carbon compensation cost fo…Carbon emissions efficiency in China: Key facts from regional and industrial sector (2018)Carbon emissions efficiency i…Can China achieve its carbon emission peaking? A scenario analysis based on STIRPAT and system dynamics model (2018)Can China achieve its carbon …Scenario analysis of carbon emissions' anti-driving effect on Qingdao's energy structure adjustment with an optimization model, Part Ⅰ: Carbon emissions peak value prediction (2017)Scenario analysis of carbon e…Can China achieve its CO2 emissions peak by 2030? (2017)Can China achieve its CO2 emi…Using a back propagation neural network based on improved particle swarm optimization to study the influential factors of carbon dioxide emissions in Hebei Province, China (2015)Using a back propagation neur…Farmers value on-farm ecosystem services as important, but what are the impediments to participation in PES schemes? (2015)Farmers value on-farm ecosyst…Grey forecasting model for CO2 emissions: A Taiwan study (2011)Grey forecasting model for CO…Understanding Carbon Offset Technologies (2010)Understanding Carbon Offset T…Designing carbon markets. Part I: Carbon markets in time (2010)Designing carbon markets. 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A dynamic scenario simulation (2020)How to peak carbon emissions of provincial construction industry? 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References

  • 1988China statistical yearbook12,378 cited
  • 2003STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts2,400 cited
  • 2018Can China achieve its carbon emission peaking? A scenario analysis based on STIRPAT and system dynamics model268 cited
  • 2011Grey forecasting model for CO2 emissions: A Taiwan study178 cited
  • 2010Understanding Carbon Offset Technologies173 cited
  • 2018Carbon emissions efficiency in China: Key facts from regional and industrial sector119 cited
  • 2017Scenario analysis of carbon emissions' anti-driving effect on Qingdao's energy structure adjustment with an optimization model, Part Ⅰ: Carbon emissions peak value prediction113 cited
  • 2017Can China achieve its CO2 emissions peak by 2030?110 cited
  • 2010Designing carbon markets. Part I: Carbon markets in time110 cited
  • 2015Farmers value on-farm ecosystem services as important, but what are the impediments to participation in PES schemes?100 cited
  • 2015Using a back propagation neural network based on improved particle swarm optimization to study the influential factors of carbon dioxide emissions in Hebei Province, China81 cited

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