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Journal > International Journal of Advances in Intelligent Informatics > Spatial data modeling in disposable income per capita in china using nationwide spatial autoregressive (SAR)

 

International Journal of Advances in Intelligent Informatics
Vol 3, No 2 (2017): July 2017
Spatial data modeling in disposable income per capita in china using nationwide spatial autoregressive (SAR)
Article Info   ABSTRACT
Published date:
31 Jul 2017
 
China is a country that became the economic centre of the world. The factors that play an important role in the economic progress in China is industrial factors: Per Capita Disposable Income Nationwide, Total Value of Exports of operating units, Registered Unemployed Persons in Urban Area, and Number of Industrial Enterprises and tourism factors. However, the prosperity among 1.3 billion of the population, is unequal. Thus, it is necessary to investigate the extent to which these factors influence the per capita income. Since the economic development of a region usually affects the surrounding area, this study includes the Spatial Autoregressive Model (SAR) method.
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