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Data Details

Province Based Carbon Productivity Influencing Factors Dataset of China (2010, 2015)


TANG Zhipeng1LIU Weidong1SONG Tao1
1Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China

DOI:10.3974/geodb.2018.04.07.V1

Published:Jun. 2018

Visitors:400       Data Files Downloaded:63      
Data Downloaded:1.04 MB      Citations:

Key Words:

China,carbon productivity,influencing factor,Resources Science

Abstract:

Based on China statistical yearbook 2010-2015, extraction data includes Chinese 30 provincial energy consumption, GDP, power ratio, annual patent authorization number, unit employees and the industrial added value. The spatial autocorrelation method was used and the result showed that industrial structure (service industry ratio) was a global variable; energy structure (power ratio), technological progress (annual patent authorization number) and labor productivity (the industrial added value of unit employees) were local variables. Then, these four impact factors and their regression parameters in 2010 and 2015 were estimated. The dataset includes Chinese 30 provincial carbon productivities and their parameters resulting from power ratio, service industry ratio, annual patent authorization number, unit employees of the industrial added value. The dataset was archived in .xlsx data format with data size of 16.8 KB in one data file. The analysis paper based on the dataset was published at the Journal of Resources Science, Vol. 39, No. 12, 2017.

Foundation Item:

Ministry of Science and Technology of P. R. China (2016YFA0602804); National Natural Science Foundation of China (41430636, 41571518)

Data Citation:

TANG Zhipeng,LIU Weidong,SONG Tao.Province Based Carbon Productivity Influencing Factors Dataset of China (2010, 2015)[DB/OL].Global Change Research Data Publishing & Repository,2018.DOI:10.3974/geodb.2018.04.07.V1.

Data Product:

ID Data Name Data Size Operation
1 ChinaCProductInfluencingFactors20102015.xlsx 16.85kb DownLoad
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

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