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Data Details

Carbon Emission Reduction Effectiveness Dataset in Provinces of China (2005-2016)


CUI Panpan1ZHANG Lijun1QIN Yaochen*1,2
1 College of Geography and Environmental Science / Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions，HenanUniversity，Kaifeng 475004，China2 Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization jointlybuilt by Henan Province and Ministry of Education，Henan University，Kaifeng 475004，China

DOI:10.3974/geodb.2022.07.03.V1

Published:July 2022

Visitors：2699       Data Files Downloaded：106      
Data Downloaded：1.95 MB      Citations：

Key Words：

province,energy consumption,carbon emissions intensity,emission reduction effectiveness

Abstract：

The Carbon Emission Reduction Effectiveness Dataset in Provinces of China (2005-2016) was developed based on the energy consumption and economic development data of 30 provinces (data covering Hong Kong, Macao，Taiwan and Tibet were unavailable). The correction coefficient was applied to measure emission reduction efficiency in each province. According to the energy consumption carbon emission intensity and output value share of each province, the equality of national carbon emission intensity in China’s energy consumption was established from top to bottom, and the contribution rate of each province, energy consumption carbon emission intensity and output value share in each province to the decline of national carbon emission intensity in energy consumption was obtained by using LMDI-Ⅰ decomposition method. Following the idea of “Emission reduction efficiency - carbon emission intensity contribution - comprehensive contribution by province - the relationship between provincial emission reduction efficiency and the comprehensive contribution of province”, the emission reduction effectiveness of each province in the process of carbon emission intensity decline in China energy consumption was evaluated. The dataset includes: (1) energy consumption carbon emissions intensity and change in China during 2005-2016; (2) the correction coefficients of provincial energy consumption carbon emission reduction; (3) the decomposition factors’ contribution rate to carbon emission intensity decline in China; (4) the order of provincial emission reduction efficiency and comprehensive contribution. The dataset is archived in .xlsx formats in one file with data size of 19.1 KB. The analysis paper was published on the Geographical Research, Vol.39, No.8, 2020.Browse

Foundation Item：

National Natural Science Foundation of China (42171295, 42071294, 42101206); Henan Province (2019SJGLX043, 222300420030, 222300420132)；

Data Citation：

CUI Panpan, ZHANG Lijun, QIN Yaochen*.Carbon Emission Reduction Effectiveness Dataset in Provinces of China (2005-2016)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.07.03.V1.

CUI Panpan, ZHANG Lijun, QIN Yaochen. A dataset of provincial carbon emissions reduction performance in the process of carbon emissions intensity reduction in China’s energy consumption from 2005 to 2016 [J]. Journal of Global Change Data & Discovery, 2022, 6(4): 566–572.

References：

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     [9] Sun, Y. Z., Shen, L., Zhong, S., et al. Driving force analysis of carbon emission changes in China [J]. Resources Science, 2017, 39(12): 2265-2274.
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     [13] Yang, Z., Chen, L. X., Luo T. Marginal cost of emission reduction and regional differences [J]. Journal of Management Sciences in China, 2019, 22(2): 1-21
     [14] Wang, W. W., Li, M., Zhang, M. Study on the changes of the decoupling indicator between energy - related CO2, emission and GDP in China [J]. Energy, 2017, 128: 11-18．
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     [16] IPCC/OECD. 2006 IPCC Guidelines for National Green-house Gas Inventories [OL]. https://www.ipcc-nggip. iges.or.jp/public/2006gl/pdf/2_Volume2/V2_2_Ch2_Stationary_Combustion.pdf, 2019-08-02.
     [17] Diakoulaki, D., Mandaraka, M. Decomposition analysis for assessing the progress in decoupling industrial growth from CO2 emissions in the EU manufacturing sector [J]. Energy Economics, 2007, 29(4): 636-664.
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Data Product:

ID Data Name Data Size Operation
0Datapaper_ProvCReducEffectChina_2005-2016.pdf302.00kbDownLoad
1 ProvCReducEffectChina_2005-2016.xlsx 18.87KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum