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      Analysis of regional carbon allocation and carbon trading based on net primary productivity in China

      , , , ,
      China Economic Review
      Elsevier BV

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          Productivity and Undesirable Outputs: A Directional Distance Function Approach

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            Is Open Access

            China CO 2 emission accounts 1997–2015

            China is the world’s top energy consumer and CO2 emitter, accounting for 30% of global emissions. Compiling an accurate accounting of China’s CO2 emissions is the first step in implementing reduction policies. However, no annual, officially published emissions data exist for China. The current emissions estimated by academic institutes and scholars exhibit great discrepancies. The gap between the different emissions estimates is approximately equal to the total emissions of the Russian Federation (the 4th highest emitter globally) in 2011. In this study, we constructed the time-series of CO2 emission inventories for China and its 30 provinces. We followed the Intergovernmental Panel on Climate Change (IPCC) emissions accounting method with a territorial administrative scope. The inventories include energy-related emissions (17 fossil fuels in 47 sectors) and process-related emissions (cement production). The first version of our dataset presents emission inventories from 1997 to 2015. We will update the dataset annually. The uniformly formatted emission inventories provide data support for further emission-related research as well as emissions reduction policy-making in China.
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              Global net primary production: Combining ecology and remote sensing

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                Author and article information

                Contributors
                Journal
                China Economic Review
                China Economic Review
                Elsevier BV
                1043951X
                April 2020
                April 2020
                : 60
                : 101401
                Article
                10.1016/j.chieco.2019.101401
                71964251-e974-4dbf-a056-900b880f6623
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

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