Descriptive Study of 2009-2013 China Area per Capita GDP

Renhao Jin; Fang Yan; Jie Zhu

doi:doi:10.11648/j.jwer.20150405.11

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Descriptive Study of 2009-2013 China Area per Capita GDP

Renhao Jin, Fang Yan, Jie Zhu

Published in Journal of World Economic Research (Volume 4, Issue 5)

Received: 7 July 2015 Accepted: 22 July 2015 Published: 17 September 2015

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Abstract

This paper studied area level per capita GDP data from 2009 to 2013 in China. The bar chart, bubble chart and map chart are used to display a growth trend on area per capita GDP. It is pointed out that areas with higher Per Capita GDP have relative lower growth rate on Per Capita GDP. Moran's I coefficients and Geary's C coefficients are used to measure the Spatial autocorrelation in the Per capita GDP data. The results of Moran's I coefficient and Geary's c coefficients test showed that global spatial autocorrelation are accepted, while local spatial autocorrelation are rejected.

Published in	Journal of World Economic Research (Volume 4, Issue 5)
DOI	10.11648/j.jwer.20150405.11
Page(s)	109-114
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 GDP, Area per Capita GDP, Spatial Analysis

References

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Renhao Jin, Fang Yan, Jie Zhu. (2015). Descriptive Study of 2009-2013 China Area per Capita GDP. Journal of World Economic Research, 4(5), 109-114. https://doi.org/10.11648/j.jwer.20150405.11

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ACS Style

Renhao Jin; Fang Yan; Jie Zhu. Descriptive Study of 2009-2013 China Area per Capita GDP. J. World Econ. Res. 2015, 4(5), 109-114. doi: 10.11648/j.jwer.20150405.11

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AMA Style

Renhao Jin, Fang Yan, Jie Zhu. Descriptive Study of 2009-2013 China Area per Capita GDP. J World Econ Res. 2015;4(5):109-114. doi: 10.11648/j.jwer.20150405.11

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@article{10.11648/j.jwer.20150405.11,
  author = {Renhao Jin and Fang Yan and Jie Zhu},
  title = {Descriptive Study of 2009-2013 China Area per Capita GDP},
  journal = {Journal of World Economic Research},
  volume = {4},
  number = {5},
  pages = {109-114},
  doi = {10.11648/j.jwer.20150405.11},
  url = {https://doi.org/10.11648/j.jwer.20150405.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jwer.20150405.11},
  abstract = {This paper studied area level per capita GDP data from 2009 to 2013 in China. The bar chart, bubble chart and map chart are used to display a growth trend on area per capita GDP. It is pointed out that areas with higher Per Capita GDP have relative lower growth rate on Per Capita GDP. Moran's I coefficients and Geary's C coefficients are used to measure the Spatial autocorrelation in the Per capita GDP data. The results of Moran's I coefficient and Geary's c coefficients test showed that global spatial autocorrelation are accepted, while local spatial autocorrelation are rejected.},
 year = {2015}
}

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TY  - JOUR
T1  - Descriptive Study of 2009-2013 China Area per Capita GDP
AU  - Renhao Jin
AU  - Fang Yan
AU  - Jie Zhu
Y1  - 2015/09/17
PY  - 2015
N1  - https://doi.org/10.11648/j.jwer.20150405.11
DO  - 10.11648/j.jwer.20150405.11
T2  - Journal of World Economic Research
JF  - Journal of World Economic Research
JO  - Journal of World Economic Research
SP  - 109
EP  - 114
PB  - Science Publishing Group
SN  - 2328-7748
UR  - https://doi.org/10.11648/j.jwer.20150405.11
AB  - This paper studied area level per capita GDP data from 2009 to 2013 in China. The bar chart, bubble chart and map chart are used to display a growth trend on area per capita GDP. It is pointed out that areas with higher Per Capita GDP have relative lower growth rate on Per Capita GDP. Moran's I coefficients and Geary's C coefficients are used to measure the Spatial autocorrelation in the Per capita GDP data. The results of Moran's I coefficient and Geary's c coefficients test showed that global spatial autocorrelation are accepted, while local spatial autocorrelation are rejected.
VL  - 4
IS  - 5
ER  -

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Author Information

Renhao Jin

School of Information, Beijing Wuzi University, Beijing, ChinaSchool of Information, Beijing Wuzi University, Beijing, China
Fang Yan

School of Information, Beijing Wuzi University, Beijing, China
Jie Zhu

School of Information, Beijing Wuzi University, Beijing, China

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APA Style

Renhao Jin, Fang Yan, Jie Zhu. (2015). Descriptive Study of 2009-2013 China Area per Capita GDP. Journal of World Economic Research, 4(5), 109-114. https://doi.org/10.11648/j.jwer.20150405.11

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ACS Style

Renhao Jin; Fang Yan; Jie Zhu. Descriptive Study of 2009-2013 China Area per Capita GDP. J. World Econ. Res. 2015, 4(5), 109-114. doi: 10.11648/j.jwer.20150405.11

Copy | Download

AMA Style

Renhao Jin, Fang Yan, Jie Zhu. Descriptive Study of 2009-2013 China Area per Capita GDP. J World Econ Res. 2015;4(5):109-114. doi: 10.11648/j.jwer.20150405.11

Copy | Download

@article{10.11648/j.jwer.20150405.11,
  author = {Renhao Jin and Fang Yan and Jie Zhu},
  title = {Descriptive Study of 2009-2013 China Area per Capita GDP},
  journal = {Journal of World Economic Research},
  volume = {4},
  number = {5},
  pages = {109-114},
  doi = {10.11648/j.jwer.20150405.11},
  url = {https://doi.org/10.11648/j.jwer.20150405.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jwer.20150405.11},
  abstract = {This paper studied area level per capita GDP data from 2009 to 2013 in China. The bar chart, bubble chart and map chart are used to display a growth trend on area per capita GDP. It is pointed out that areas with higher Per Capita GDP have relative lower growth rate on Per Capita GDP. Moran's I coefficients and Geary's C coefficients are used to measure the Spatial autocorrelation in the Per capita GDP data. The results of Moran's I coefficient and Geary's c coefficients test showed that global spatial autocorrelation are accepted, while local spatial autocorrelation are rejected.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Descriptive Study of 2009-2013 China Area per Capita GDP
AU  - Renhao Jin
AU  - Fang Yan
AU  - Jie Zhu
Y1  - 2015/09/17
PY  - 2015
N1  - https://doi.org/10.11648/j.jwer.20150405.11
DO  - 10.11648/j.jwer.20150405.11
T2  - Journal of World Economic Research
JF  - Journal of World Economic Research
JO  - Journal of World Economic Research
SP  - 109
EP  - 114
PB  - Science Publishing Group
SN  - 2328-7748
UR  - https://doi.org/10.11648/j.jwer.20150405.11
AB  - This paper studied area level per capita GDP data from 2009 to 2013 in China. The bar chart, bubble chart and map chart are used to display a growth trend on area per capita GDP. It is pointed out that areas with higher Per Capita GDP have relative lower growth rate on Per Capita GDP. Moran's I coefficients and Geary's C coefficients are used to measure the Spatial autocorrelation in the Per capita GDP data. The results of Moran's I coefficient and Geary's c coefficients test showed that global spatial autocorrelation are accepted, while local spatial autocorrelation are rejected.
VL  - 4
IS  - 5
ER  -

Copy | Download