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Descriptive Study of 2013 China per Capita Wage in Logistics and Transportation Industry

Published in Economics (Volume 4, Issue 6)
Received: 31 October 2015     Accepted: 9 November 2015     Published: 19 November 2015
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Abstract

This paper does a descriptive study on 2013 area level per capita wage in logistics and transportation industry data in China. The per capita wage value is found to have increased over 11 years with annual increasing rate 13.9%. However, China per capita value is still less than western countries. The spatial autocorrelations are found in the area per capita wage data, and area per capita wage data is found to be high correlated with area per capita GDP data and area per capita wage in employment.

Published in Economics (Volume 4, Issue 6)
DOI 10.11648/j.eco.20150406.13
Page(s) 112-117
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

China per Capita Wage, Area per Capita Wage, Area per Capita GDP, Spatial Distribution

References
[1] Anselin, L. (1995). Local indicators of spatial association – LISA. Geographical Analysis 27, 93--115.
[2] Besag, J. (1974). Spatial interaction and the statistical analysis of lattice systems. Journal of the Royal Statistical Society B 36, 192--225.
[3] Getis, A. and Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis 24, 189--206.
[4] Griffith, D. (1987). Spatial Autocorrelation: A Primer. Washington, DC: Association of American Geographers Resource Publication.
[5] Griffith, D. (1992). What is spatial autocorrelation? Reflections on the past 25 years of spatial statistics. l’Espace Ge´ographique 21, 265--280.
[6] Griffith, D. (1996). Spatial autocorrelation and eigenfunctions of the geographic weights matrix accompanying geo-referenced data. The Canadian Geographer 40, 351--367.
[7] "GDP (Official Exchange Rate)". CIA World Factbook. RetrievedJune 2, 2012.
[8] Dawson, Graham (2006). Economics and Economic Chenge. FT / Prentice Hall. p. 205. ISBN 9780273693512.
[9] Mardia, K. and Marshall, R. (1984). Maximum likelihood estimation of models for residual covariance in spatial regression. Biometrika 71, 135--146.
[10] Richardson, S. and He´ mon, D. (1981). On the variance of the sample correlation between two independent lattice processes. Journal of Applied Probability 18, 943--948.
[11] Tiefelsdorf, M. and Boots, B. (1995). The exact distribution of Moran’s I. Environment and Planning. A 27, 985--999.
[12] SAS Institute Inc, (2008). SAS/STAT® 9.2 User’s Guide: The variogram Procedure (Book Excerpt). NC: SAS Institute Inc, Cary.
[13] George Peck (2015). Tableau 9: The Official Guide. McGraw-Hill Education.
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  • APA Style

    Jie Zhu, Ruoling Zhang, Binbin Fu, Renhao Jin. (2015). Descriptive Study of 2013 China per Capita Wage in Logistics and Transportation Industry. Economics, 4(6), 112-117. https://doi.org/10.11648/j.eco.20150406.13

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    ACS Style

    Jie Zhu; Ruoling Zhang; Binbin Fu; Renhao Jin. Descriptive Study of 2013 China per Capita Wage in Logistics and Transportation Industry. Economics. 2015, 4(6), 112-117. doi: 10.11648/j.eco.20150406.13

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    AMA Style

    Jie Zhu, Ruoling Zhang, Binbin Fu, Renhao Jin. Descriptive Study of 2013 China per Capita Wage in Logistics and Transportation Industry. Economics. 2015;4(6):112-117. doi: 10.11648/j.eco.20150406.13

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  • @article{10.11648/j.eco.20150406.13,
      author = {Jie Zhu and Ruoling Zhang and Binbin Fu and Renhao Jin},
      title = {Descriptive Study of 2013 China per Capita Wage in Logistics and Transportation Industry},
      journal = {Economics},
      volume = {4},
      number = {6},
      pages = {112-117},
      doi = {10.11648/j.eco.20150406.13},
      url = {https://doi.org/10.11648/j.eco.20150406.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eco.20150406.13},
      abstract = {This paper does a descriptive study on 2013 area level per capita wage in logistics and transportation industry data in China. The per capita wage value is found to have increased over 11 years with annual increasing rate 13.9%. However, China per capita value is still less than western countries. The spatial autocorrelations are found in the area per capita wage data, and area per capita wage data is found to be high correlated with area per capita GDP data and area per capita wage in employment.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Descriptive Study of 2013 China per Capita Wage in Logistics and Transportation Industry
    AU  - Jie Zhu
    AU  - Ruoling Zhang
    AU  - Binbin Fu
    AU  - Renhao Jin
    Y1  - 2015/11/19
    PY  - 2015
    N1  - https://doi.org/10.11648/j.eco.20150406.13
    DO  - 10.11648/j.eco.20150406.13
    T2  - Economics
    JF  - Economics
    JO  - Economics
    SP  - 112
    EP  - 117
    PB  - Science Publishing Group
    SN  - 2376-6603
    UR  - https://doi.org/10.11648/j.eco.20150406.13
    AB  - This paper does a descriptive study on 2013 area level per capita wage in logistics and transportation industry data in China. The per capita wage value is found to have increased over 11 years with annual increasing rate 13.9%. However, China per capita value is still less than western countries. The spatial autocorrelations are found in the area per capita wage data, and area per capita wage data is found to be high correlated with area per capita GDP data and area per capita wage in employment.
    VL  - 4
    IS  - 6
    ER  - 

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Author Information
  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

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