Analysis on the public carbon footprint of Zhejiang Province

WENG Zhi-xiong; SHEN Yue-qin; Lü Qiu-ju; ZHAO Sheng-jun; MA Yin-fang

doi:10.11833/j.issn.2095-0756.2012.02.017

Volume 29 Issue 2

Mar. 2012

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Article Navigation > Journal of Zhejiang A&F University > 2012 > 29(2): 265-271

WENG Zhi-xiong, SHEN Yue-qin, Lü Qiu-ju, ZHAO Sheng-jun, MA Yin-fang. Analysis on the public carbon footprint of Zhejiang Province[J]. Journal of Zhejiang A&F University, 2012, 29(2): 265-271. doi: 10.11833/j.issn.2095-0756.2012.02.017

Citation:

WENG Zhi-xiong, SHEN Yue-qin, Lü Qiu-ju, ZHAO Sheng-jun, MA Yin-fang. Analysis on the public carbon footprint of Zhejiang Province[J]. Journal of Zhejiang A&F University, 2012, 29(2): 265-271. doi: 10.11833/j.issn.2095-0756.2012.02.017

Analysis on the public carbon footprint of Zhejiang Province

doi: 10.11833/j.issn.2095-0756.2012.02.017

1.
School of Economics and Management，Zhejiang A & F University，Lin’an 311300，Zhejiang，China;
2.
Lin’an Party School of the Communist Party of China，Lin’an 311300，Zhejiang，China;
3.
Qingshan Lake subodistrict office of Lin’an City，Lin’an 311300，Zhejiang，China;
4.
Jincheng Subodistrict Office of Lin’an City，Lin’an 311300，Zhejiang，China

More Information

Corresponding author: SHEN Yue-qin
Received Date: 2011-05-22
Rev Recd Date: 2011-08-03
Publish Date: 2012-04-20

Abstract

Development of low carbon economy and building low carbon society is a strategic choice for regional socio-economic development under the global warming conditions，and the public is important impetus of it. The publics cognition of low carbon and carbon footprint directly reflects the condition of public low carbon life. In this study，Zhejiang Province was chose as research object，Hangzhou，Jiaxing，Cixi，and Linan as survey sites，481 public were randomly chose to do the investigation，and 473 copies valid questionnaires were obtained. The public carbon footprint among the four places was analyzed through analysis of statistical description and multivariate regression model，and the results showed as follows：（1）Carbon footprint is deeply related to the development of economic and population；（2）Carbon footprint is quite different from every area，for transportation takes relatively major proportion in the structure of carbon footprint；（3）Meanwhile，multivariate regression model shows that: factors influence public carbon footprint mainly are gender，education degree，monthly income，household energy usage，and transportation. Finally，the conclusion are get and suggestions are proposed according to the results，in order to achieve low carbon life of public. ［Ch，6 tab. 11 ref.］
- public,
- carbon footprint,
- multivariate regression model,
- Zhejiang Province

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Analysis on the public carbon footprint of Zhejiang Province

1. School of Economics and Management，Zhejiang A & F University，Lin’an 311300，Zhejiang，China;

2. Lin’an Party School of the Communist Party of China，Lin’an 311300，Zhejiang，China;

3. Qingshan Lake subodistrict office of Lin’an City，Lin’an 311300，Zhejiang，China;

4. Jincheng Subodistrict Office of Lin’an City，Lin’an 311300，Zhejiang，China

Corresponding author: SHEN Yue-qin

Received Date: 2011-05-22

Rev Recd Date: 2011-08-03

Publish Date: 2012-04-20

Key words:

Abstract: Development of low carbon economy and building low carbon society is a strategic choice for regional socio-economic development under the global warming conditions，and the public is important impetus of it. The publics cognition of low carbon and carbon footprint directly reflects the condition of public low carbon life. In this study，Zhejiang Province was chose as research object，Hangzhou，Jiaxing，Cixi，and Linan as survey sites，481 public were randomly chose to do the investigation，and 473 copies valid questionnaires were obtained. The public carbon footprint among the four places was analyzed through analysis of statistical description and multivariate regression model，and the results showed as follows：（1）Carbon footprint is deeply related to the development of economic and population；（2）Carbon footprint is quite different from every area，for transportation takes relatively major proportion in the structure of carbon footprint；（3）Meanwhile，multivariate regression model shows that: factors influence public carbon footprint mainly are gender，education degree，monthly income，household energy usage，and transportation. Finally，the conclusion are get and suggestions are proposed according to the results，in order to achieve low carbon life of public. ［Ch，6 tab. 11 ref.］

Analysis on the public carbon footprint of Zhejiang Province

doi: 10.11833/j.issn.2095-0756.2012.02.017

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

Proportional views