人口学刊
人口學刊
인구학간
Population Journal
2015年
3期
16~25
,共null页
总和生育率 县域差异 空间误差模型 空间滞后模型
總和生育率 縣域差異 空間誤差模型 空間滯後模型
총화생육솔 현역차이 공간오차모형 공간체후모형
Total Fertility Rate, Countywide Differences, Spatial Error Model, Spatial Lag Model
本文利用全国2 357个县(市、区、旗等)第六次人口普查数据,运用四分位图法归纳总结我国县域总和生育率的整体空间分布规律:东北、东部沿海最低,华中、华北、青藏地区次之,西南、华南地区最高。运用空间探索性分析方法对我国县域总和生育率进行空间相关性分析,在此基础上,利用空间误差模型分析县域总和生育率差异产生的原因,结果表明:经济越发达、妇女受教育程度越高、离婚率越高,县域总和生育率越低;享有适当宽松的生育政策或传统生育观念越强的地区,县域总和生育率越高。文章分析了东北、东部、中部、西部四大区域内部造成县域总和生育率差异的原因。
本文利用全國2 357箇縣(市、區、旂等)第六次人口普查數據,運用四分位圖法歸納總結我國縣域總和生育率的整體空間分佈規律:東北、東部沿海最低,華中、華北、青藏地區次之,西南、華南地區最高。運用空間探索性分析方法對我國縣域總和生育率進行空間相關性分析,在此基礎上,利用空間誤差模型分析縣域總和生育率差異產生的原因,結果錶明:經濟越髮達、婦女受教育程度越高、離婚率越高,縣域總和生育率越低;享有適噹寬鬆的生育政策或傳統生育觀唸越彊的地區,縣域總和生育率越高。文章分析瞭東北、東部、中部、西部四大區域內部造成縣域總和生育率差異的原因。
본문이용전국2 357개현(시、구、기등)제륙차인구보사수거,운용사분위도법귀납총결아국현역총화생육솔적정체공간분포규률:동북、동부연해최저,화중、화북、청장지구차지,서남、화남지구최고。운용공간탐색성분석방법대아국현역총화생육솔진행공간상관성분석,재차기출상,이용공간오차모형분석현역총화생육솔차이산생적원인,결과표명:경제월발체、부녀수교육정도월고、리혼솔월고,현역총화생육솔월저;향유괄당관송적생육정책혹전통생육관념월강적지구,현역총화생육솔월고。문장분석료동북、동부、중부、서부사대구역내부조성현역총화생육솔차이적원인。
Based on the data of the Sixth Nationwide Population Census of China' s 2357 counties/cities/districts/banners, this article summarized the global distribution rule of China' s countywide total fertility rate : The Northeast and the East Coast are the lowest; The Central China, North China and the Tibetan Plateau are the second; The Southwest and the South China are the highest, employing the Quartile map. This arti- cle applied the Exploratory Spatial Data Analysis analyzed the spatial relativity of China' s countywide total fertility rate. Based on the presence of positive spatial autocorrelation of county TFR, the paper adopted the spatial error model to analyze the causes of county differences of TFR. The results showed that the more advanced the economy, the higher the women' s level of education, the stronger the women' s autonomy, the lower the county TFR; The county enjoying the preferential policy of family planning and having stronger traditional fertility attitudes has a higher TFR. In addition, this article analyzed respectively the causes of county differences of TFR of the Northeast, the East, the Middle and the West district.