摘要
将信息熵指数分解为相对信息熵指数和绝对信息熵指数,以利于不同时空尺度横向差异与纵向差异的有效比较,并构造聚集度指数来直观反映中国农林牧渔业均匀分布状态所占的比例。20余年中,除个别年份外,全国、地带内和地带间农林牧渔业的绝对信息熵指数和相对信息熵指数起伏都不大,保持了较平稳的态势;全国、地带间及地带内的聚集度皆在70%以上,中国农林牧渔业呈现出小集中大分散的格局,而产值分布比从业人口分布更均衡。最后,通过劳动生产率区位商来描述从业人口与产值的对应关系。
In order to conduct an effective comparison between horizontal and vertical differences in different spatial and temporal scales, information entropy index can be decomposed into relative and absolute information entropy index. In spite of this, they also can＇ t reflect the specific degree in centralization or decentralization, therefore, constructed the aggregation index to illustrate the degree of geographical balance on Chinese agriculture-forestry-stockbreeding-fishery. Study shows that except for a few years, most of the absolute and relative information en- tropy index have no significant change in national level, between regions and in the regions. In addition, the largest absolute differences are in regions, the largest relative differences are between regions. The aggregation index are all more than 70% between regions and in regions. In national level, the aggregation index is above 86%. The pattern of Chinese agriculture-forestry-stockbreeding-fishery can be described as large dispersion and small concentration. Besides, output scale is more balanced than population size. Finally, the author uses location quotient of labor productivity to analyse the relationship between population size and outnut scale.
出处
《地域研究与开发》
CSSCI
北大核心
2010年第5期118-122,共5页
Areal Research and Development
关键词
农林牧渔业
人口规模
产值规模
相对信息熵
绝对信息熵
聚集度指数
agricuhure-forestry-stockbreeding-fishery
population size
output scale
relative information entropy
absolute information entropy
aggregation index
