ARTICLE
TITLE

Spatial data modeling in disposable income per capita in china using nationwide spatial autoregressive (SAR)

SUMMARY

China as a country became the economic center of the world. However, with a population of 1.3 billion, China's per capita income is still at number 80 in the world. In the world, considering the imbalance between town and country with 100 million people still living in poverty. Thus, to address this imbalance, it is necessary to study the condition in depth, because income per capita is often used as a benchmark to measure the prosperity of a country. With greater and equitable income per capita, the country will be judged increasingly affluent. Two factors, mainly industry and tourism, play an important role in the economic progress in China. These are include Per capita Disposable Income Nationwide (yuan), Total Value of Exports of operating units (1,000 USD), Registered Unemployed Person in Urban Area (10000 person), Foreign Exchange Earning from International tourism(in millions USD) and Number of Overseas Visitor Arrivals (million person/time). Thus, it is necessary to investigate the influence of these factors to increase per capita income. Since the economic development of a region usually affect the surrounding area, this study aims to include spatial effects, using Spatial Autoregressive (SAR) Model. The results suggest that the per capita income affected by the Tourism factor is about 58.65% (R-squared).

 Articles related

Agusta Praba Ristadi Pinem, Siti Asmiatun, Astrid Novita Putri    

Today, the development of the use of spatial data is not only used for information geographic or transportation. But also can be used for site selection with integrating decision support system methods. Generated information can help in making decisions ... see more


Putu Wirabumi, Pramaditya Wicaksono, Muhammad Kamal, Iwan Ridwansyah, Luki Subehi, Aan Dianto    

TSS (Total Suspended Solid) is one of the optical parameters that can be used for turbidity key indicator to assess water quality. The rapid development of remote sensing technology in the field of mapping has resulted in various methods for estimating T... see more


Adib Mustofa, Budhi Agung Prasetyo    

Data integration of structured ecosystem monitoring is crucial to support decision making for better marine ecosystem management. Coral reef monitoring data had been carried out in several separated studies in Lampung Province. However, lacks data integr... see more


Anik Vega Vitianingsih,Achmad Choiron,Dwi Cahyono,Suyanto Suyanto    

Background of the study: Measles is a major cause of child death caused by a lack of immunization when a child is a baby.Purpose: The discussion in this paper aims to describe the results of the analysis of the spatial data modeling of measles, knowing t... see more


Sihem Oujdi,Hafida Belbachir,Faouzi Boufares    

Using data mining techniques on spatial data is more complex than on classical data. To be able to extract useful patterns, the spatial data mining algorithms must deal with the representation of data as stack of thematic layers and consider, in addition... see more