The research on the fairness of carbon emissions for China's energy based on GIS

Qiuxian Wang; Zhiqiang Gao; Jicai Ning; Qingshui Lu; Runhe Shi; Wei Gao

doi:10.1117/12.2022413

The research on the fairness of carbon emissions for China's energy based on GIS

Qiuxian Wang^*
, Zhiqiang Gao
, Jicai Ning
, Qingshui Lu
, Runhe Shi
, Wei Gao

^*Corresponding author for this work

CAS - Yantai Institute of Coastal Research for Sustainable Development
University of Chinese Academy of Sciences
Ludong University
Colorado State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This article firstly calculated China's energy carbon emissions of 30 provinces in 2010 with the method of carbon emission inventories of 2006 IPCC based on the data of China energy statistical yearbook, and then calculated its carbon emission intensity with GDP data in China's statistical yearbook. Next according to the formed formula the author calculated the EEI (Economic Efficiency Index) and ECI (Ecological Carrying Index) and made some corresponding figures with the help of GIS to analyze the fairness of the China's energy CO₂ emissions in 2010.The results showed that the distribution of China's CO₂ emissions for energy in 2010 become lower from the Bohai bay to the surroundings and the west circle provinces are with the lowest energy carbon emissions. The intensity distribution of China's CO₂ emissions for energy in 2010 becomes higher from southeast China to north China. The distributions of EEI, ECI and for China's energy CO ₂ emissions are quite different from each other, and also with their comprehensive result. As to the fairness of China's energy CO₂ emissions in 2010, we can say that the south provinces are better than those of Bohai bay areas (except Beijing and Tianjing).

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability X
Publisher	SPIE
ISBN (Print)	9780819497192
DOIs	https://doi.org/10.1117/12.2022413
State	Published - 2013
Externally published	Yes
Event	Remote Sensing and Modeling of Ecosystems for Sustainability X - San Diego, CA, United States Duration: 26 Aug 2013 → 29 Aug 2013

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8869
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability X
Country/Territory	United States
City	San Diego, CA
Period	26/08/13 → 29/08/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

China's energy
ECI
EEI
GIS
carbon emission
fairness

Access to Document

10.1117/12.2022413

Cite this

@inproceedings{87c0577a5ebd4e60b22d9d6092c9cea6,

title = "The research on the fairness of carbon emissions for China's energy based on GIS",

abstract = "This article firstly calculated China's energy carbon emissions of 30 provinces in 2010 with the method of carbon emission inventories of 2006 IPCC based on the data of China energy statistical yearbook, and then calculated its carbon emission intensity with GDP data in China's statistical yearbook. Next according to the formed formula the author calculated the EEI (Economic Efficiency Index) and ECI (Ecological Carrying Index) and made some corresponding figures with the help of GIS to analyze the fairness of the China's energy CO2 emissions in 2010.The results showed that the distribution of China's CO2 emissions for energy in 2010 become lower from the Bohai bay to the surroundings and the west circle provinces are with the lowest energy carbon emissions. The intensity distribution of China's CO2 emissions for energy in 2010 becomes higher from southeast China to north China. The distributions of EEI, ECI and for China's energy CO 2 emissions are quite different from each other, and also with their comprehensive result. As to the fairness of China's energy CO2 emissions in 2010, we can say that the south provinces are better than those of Bohai bay areas (except Beijing and Tianjing).",

keywords = "China's energy, ECI, EEI, GIS, carbon emission, fairness",

author = "Qiuxian Wang and Zhiqiang Gao and Jicai Ning and Qingshui Lu and Runhe Shi and Wei Gao",

year = "2013",

doi = "10.1117/12.2022413",

language = "英语",

isbn = "9780819497192",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability X",

address = "美国",

note = "Remote Sensing and Modeling of Ecosystems for Sustainability X ; Conference date: 26-08-2013 Through 29-08-2013",

}

Wang, Q, Gao, Z, Ning, J, Lu, Q, Shi, R & Gao, W 2013, The research on the fairness of carbon emissions for China's energy based on GIS. in Remote Sensing and Modeling of Ecosystems for Sustainability X., 886910, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8869, SPIE, Remote Sensing and Modeling of Ecosystems for Sustainability X, San Diego, CA, United States, 26/08/13. https://doi.org/10.1117/12.2022413

The research on the fairness of carbon emissions for China's energy based on GIS. / Wang, Qiuxian; Gao, Zhiqiang; Ning, Jicai et al.
Remote Sensing and Modeling of Ecosystems for Sustainability X. SPIE, 2013. 886910 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8869).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The research on the fairness of carbon emissions for China's energy based on GIS

AU - Wang, Qiuxian

AU - Gao, Zhiqiang

AU - Ning, Jicai

AU - Lu, Qingshui

AU - Shi, Runhe

AU - Gao, Wei

PY - 2013

Y1 - 2013

N2 - This article firstly calculated China's energy carbon emissions of 30 provinces in 2010 with the method of carbon emission inventories of 2006 IPCC based on the data of China energy statistical yearbook, and then calculated its carbon emission intensity with GDP data in China's statistical yearbook. Next according to the formed formula the author calculated the EEI (Economic Efficiency Index) and ECI (Ecological Carrying Index) and made some corresponding figures with the help of GIS to analyze the fairness of the China's energy CO2 emissions in 2010.The results showed that the distribution of China's CO2 emissions for energy in 2010 become lower from the Bohai bay to the surroundings and the west circle provinces are with the lowest energy carbon emissions. The intensity distribution of China's CO2 emissions for energy in 2010 becomes higher from southeast China to north China. The distributions of EEI, ECI and for China's energy CO 2 emissions are quite different from each other, and also with their comprehensive result. As to the fairness of China's energy CO2 emissions in 2010, we can say that the south provinces are better than those of Bohai bay areas (except Beijing and Tianjing).

AB - This article firstly calculated China's energy carbon emissions of 30 provinces in 2010 with the method of carbon emission inventories of 2006 IPCC based on the data of China energy statistical yearbook, and then calculated its carbon emission intensity with GDP data in China's statistical yearbook. Next according to the formed formula the author calculated the EEI (Economic Efficiency Index) and ECI (Ecological Carrying Index) and made some corresponding figures with the help of GIS to analyze the fairness of the China's energy CO2 emissions in 2010.The results showed that the distribution of China's CO2 emissions for energy in 2010 become lower from the Bohai bay to the surroundings and the west circle provinces are with the lowest energy carbon emissions. The intensity distribution of China's CO2 emissions for energy in 2010 becomes higher from southeast China to north China. The distributions of EEI, ECI and for China's energy CO 2 emissions are quite different from each other, and also with their comprehensive result. As to the fairness of China's energy CO2 emissions in 2010, we can say that the south provinces are better than those of Bohai bay areas (except Beijing and Tianjing).

KW - China's energy

KW - ECI

KW - EEI

KW - GIS

KW - carbon emission

KW - fairness

UR - https://www.scopus.com/pages/publications/84887971614

U2 - 10.1117/12.2022413

DO - 10.1117/12.2022413

M3 - 会议稿件

AN - SCOPUS:84887971614

SN - 9780819497192

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Remote Sensing and Modeling of Ecosystems for Sustainability X

PB - SPIE

T2 - Remote Sensing and Modeling of Ecosystems for Sustainability X

Y2 - 26 August 2013 through 29 August 2013

ER -

The research on the fairness of carbon emissions for China's energy based on GIS

Abstract

Publication series

Conference

UN SDGs

Keywords

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