Exploring the Development Rule of GDP Based on Time-series Moran’s Index

To study the development rule of GDP, this paper extends the application of Moran’s index from static analysis to dynamic perspectives. The time-series Moran’s indices of GDP is calculated to explore the aggregation characteristics of GDP in China. Then, population size, employed population factor, and legal entity factor, are considered to calculate the Moran’s indices of unit indices GDP. From these Moran’s indices, several pieces of hidden information are mined. From the time-series Moran’s indices of unit population GDP, the migration trend from undeveloped regions to developed regions can be found. From the time-series Moran’s indices of unit employed population GDP, the phenomenon of income distribution imbalance can be evaluated. From the time-series Moran’s indices of unit legal entity GDP, the self-organization property of enterprises is discovered. All these results are meaningful for analyzing the role of GDP to social economy and for determining the increasing law of GDP.