基于商品编码信息的浙江省经济复杂性分析

Economic Complexity Analysis of Zhejiang Province Based on Commodity Code Information

本文对浙江省各地区新商品的标准化编码注册数据进行分析,通过构建“地区-商品”二部图网络,采用最小复杂度方法计算了浙江省全省及省内各个地区的适应度.分析发现,相比于人均GDP等传统经济指标,适应度的排序更能有效反映地区间经济发展的差异.通过观察并对比各地区在适应度-人均GDP空间上演化路径的差异,我们观察到浙江省经济在整体趋向多元化的同时,各地区的产业分工也正在趋向加深.该研究有效挖掘了浙江省的经济趋势,进一步证实了基于最小复杂度方法的非线性迭代方法能够在省一级的数据尺度上有效区分各地区经济发展模式的差异.

This paper analyzes the standardized code registration data of new commodities in Zhejiang province,and calculates the fitness of the whole province and each area in Zhejiang province by constructing“region-commodity”bipartite network with minimum complexity measure.According to the analysis,compared with the traditional economic indicators such as GDP per capita,the rank of fitness can more effectively reflect the differences on regional economic development.The comparison of the trajectories of different regions in the fitness-GDP per capita space shows that the division of industries in various regions is also tending to be deepened while the global economy of Zhejiang province is tending to be diversified.This study digs out the trends in the development of Zhejiang economy,and further proves that the nonlinear iterative method based on the minimum complexity measure can effectively distinguish the differences of regional economic development patterns on the provincial data scale.