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【答案】应助回帖
★ ★ ★ ★ ★
感谢参与，应助指数 +1
jiaaniu: 金币+5, ★★★★★最佳答案, 谢谢 2014-12-21 14:37:14
oven1986: LS-EPI+1, 感谢应助。 2014-12-22 00:06:40
Accession number:
20141217487913
Title: Analysis on the energy consumption (EC) and carbon emission (CE) of tourism transport of Jiangxi province using the PLS method
Authors: Jia, Jun Song1, 2 Email author jiaaniu@126.com; Kuang, Cai Hua1, 2, 3 Email author kuangcaihua2008@163.com; Hu, Lin Lin1, 2, 3 Email author noblehulinlin@163.com
Author affiliation: 1 Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang, Jiangxi, 330022, China
2 School of Geography and Environment, Jiangxi Normal University, Nanchang, Jiangxi, 330022, China
3 School of Graduate, Jiangxi Normal University, Nanchang, Jiangxi, 330022, China
Corresponding author: Hu, L. L. (noblehulinlin@163.com)
Source title: Applied Mechanics and Materials
Abbreviated source title: Appl. Mech. Mater.
Volume: 535
Monograph title: Energy Engineering and Environment Engineering
Issue date: 2014
Publication year: 2014
Pages: 533-536
Language: English
ISSN: 16609336
E-ISSN: 16627482
ISBN-13: 9783038350378
Document type: Conference article (CA)
Conference name: 2014 2nd International Conference on Energy Engineering and Environment Engineering, ICEEEE 2014
Conference date: January 10, 2014 - January 11, 2014
Conference location: Hong Kong, China
Conference code: 103222
Sponsor: BOSI EDU; Trans Tech Publications inc.
Publisher: Trans Tech Publications
Abstract: Taking Jiangxi of China as an example, we, firstly, accounted the energy consumption (EC) and carbon emission (CO2, CE) of this province's tourism transport in recently 13 years. Then, we used the Partial Least Squares (PLS) method to analysis the drivers of the CE. Results show that: Circled digit one Respectively, the EC and CE of tourism transport in Jiangxi in 1999 were 4.2 PJ and 0.46 Mt. They grew up to 31.9 PJ and 3.59 Mt in 2011. The increasing amounts were 27.7 PJ and 3.13 Mt, with an average annual growth rate of 18.4% and 18.6%. These meant that with the improvement of living standards, more and more people engaged in the activities of tourism industry. Circled digit two The consumption demand of people's tourism had been greatly released in 2004 and 2011, which could arise from the influences of the SARS in 2003 and the global financial crisis in 2008, respectively. Circled digit three The importance of the latent drivers can be sorted as the following order: A2 (square of GDP per capita), A (GDP per capita), T (carbon intensity), T1 (EC intensity) and P (population). The impact on the CE from T2 (the factor denoted by T/T1) is negligible. The impact of U (urbanization rate) is little. The A2, A, T, T1 and P have an increase of 1%. The corresponding CE will have an increase of 0.275%, 0.259%, 0.148%, 0.145% and 0.131%, respectively. In the end, some suggestions are proposed for local development: to speed up the pattern's upgrade of the development, to promote the implementation of energy saving, to improve the technical level and energy efficiency so as to reduce the regional energy intensity, to go on controlling population growth and to boost the new-type urbanization, to some extent. © (2014) Trans Tech Publications, Switzerland.
Number of references: 6
Main heading: Energy utilization
Controlled terms: Carbon dioxide - Energy efficiency - Least squares approximations - Population statistics - Truck drivers
Uncontrolled terms: Average annual growth rates - Carbon emissions - Global financial crisis - Local development - Partial least square (PLS) - PLS - Population growth - Tourism transport
Classification code: 525.2 Energy Conservation - 525.3 Energy Utilization - 663.1 Heavy Duty Motor Vehicles - 804.2 Inorganic Compounds - 921.6 Numerical Methods - 922.2 Mathematical Statistics
DOI: 10.4028/www.scientific.net/AMM.535.533
Database: Compendex
Compilation and indexing terms, © 2014 Elsevier Inc.
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