philadelphia, march 27 th , 2010
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Spatial Studies of Religion and Chinese Society FENGGANG YANG Center on religion and Chinese society Purdue University. Philadelphia, March 27 th , 2010. Data Progressing. Exploratory: what can be done with the data? - PowerPoint PPT PresentationTRANSCRIPT
SPATIAL STUDIES OF RELIGION AND CHINESE SOCIETYFENGGANG YANG
CENTER ON RELIGION AND CHINESE SOCIETYPURDUE UNIVERSITY
Philadelphia, March 27th, 2010
Data Progressing Exploratory: what can be done with the
data? The data: the official census of all
religious sites registered with the government (the “Red Market”)
Address, year of founding, etc. Geocoding: coordinate the addresses (
Batch Geocoding), inaccuracy and irregular format.
Include 6138 religious organizations in Zhejiang.
Draw maps. (by ArcGIS; by GoogleMaps)
Religious Map of Zhejiang
Drawn By ArcGISDrawn By GoogleMaps
An Analysis: Description-Proportion
An Analysis: Description-Time Series
The periodic variations of five religions are highly concurrent. Two turning points: 1980 and 1999. What happened?
An Analysis: Hypothesis Object : officially registered religious
organizations The “red market” in the triple market theory The political economy of religion in China:
demand, supply, and regulation Demographic and economic factors of
religious change; religious competition factor Hypothesis: The overriding factor of the “red
market” change is religious regulation.
An Analysis: Data DV: number of organizations. IV: GDP, population, age, education, and etc.. Unit: year; area (county/township level) Merge with basic socioeconomic data:1. Economic data : Zhejiang Statistical Yearbook
(only county level), Zhejiang Township Statistical Yearbook (only rural areas).
2. Demographic data: 2000 Township Population Census Data (from Prof. Bao).
Data shortage.
An Analysis: GDP (Time)
An Analysis: GDP (Space)
An Analysis: Demographic Factors (Space)
An Analysis: Summary Conclusion: there is no significant correlation between
the size of “red market” and socio-economic factors in on the county level.
Interpretation 1: data limitation.a) Zhejiang is special, need to expand to Whole China.b) Intra-county differences are huge, need to expand to
township level (n=1844).c) Other socio-economic data (e.g. edu) need to be
added. Interpretation 2: possibly, no correlation at all.a) A strong exogenous variable: religious regulation.b) Quantify religious regulation?
Future Plan Establish “Religious Organization
Database”:1. Expand to whole China.2. Expand to township level.3. Merge with other religious data, esp.
data of individual level (the Chinese Spiritual Life Survey).
4. Merge with more socioeconomic data. Conduct further data mining and analysis.
THANKS!FENGGANG YANG
CENTER ON RELIGION AND CHINESE SOCIETYPURDUE UNIVERSITY
Philadelphia, March 27th, 2010