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 |
China per Capita Wage, Area per Capita Wage, Area per Capita GDP, Spatial Distribution
[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. |
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
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
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
@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} }
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 -