信息熵在产业结构演变研究中的应用——兼论我国制造业结构演变的时空分异  

Research on the space-time differentiation of manufacturing structure in China based on Shannon Entropy

作　　者：刘春霞[1] 朱青[1] 

机构地区：[1]北京师范大学遥感与地理科学学院,北京100875

出　　处：《城市发展研究》2005年第4期20-25,共6页Urban Development Studies

基　　金：国家自然科学基金(40271035)资助项目。

摘　　要：文章以信息熵作为测度产业结构均衡程度的指标,将其运用于我国制造业结构时空演变特征的实证研究。研究表明我国制造业结构的熵值变化可以分为三个阶段,相应的产业结构演变呈现出“不平衡-平衡-不平衡”的过程;根据我国29个省区制造业结构的演变特征,将全国分为五个类型区;进一步研究发现东部地区制造业结构的均衡程度最高,中部地区最低;在一定范围内制造业结构的均衡程度和区域人口规模的对数呈明显的正相关关系,说明人口规模是影响区域产业结构的因素之一,而且一定范围内城市人口规模越大,各部门发展越均衡。In the paper , we construct an index to measure character of regional industry structure based on Shannon Entropy , i. e. H, and the space-time differentiation of manufacturing in China is under study. According to the changes of the H-value of Chinese manufacturing with time, we conclude： （1）The H-value of manufacturing structure in China has three obvious phases, and accordingly the evolution of manufacturing structure shows “imbalance-balance-imbalance” status ; （2） The H-value of manufacturing structure has an optimal ranges at difference scales, it may be [2, 2.72461 at the scale of province; The changes of the H-value across space reveal that ： （1）All provinces in China can be divided into 5 types, i. e. , balance-convergent type, balancedeveloping type, transition type, imbalancedeveloping type and imbalance type; （2）A deeper study illustrates that the East is showing the highest balance and the Midland is taking on the lowest. In addition, a regression analysis is taken to explain impact factors of the H-value and it reveals that the H-value has a significant positive correlation with population of a city within certain scope, so we can derive that the industry structure will be more balanceable in a region with more people, and population is one of the factors influencing the balance of manufacturing structure.

关 键 词：信息熵 产业结构均衡度 分异规律 制造业 

分 类 号：F121[经济管理—世界经济]