| Citation: |
Analyzing Spatial Characteristics and Its Influencing Factors of China’s Interprovincial Migration[J]. Journal of South China Normal University (Natural Science Edition), 2017, 49(3): 84-91.
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[1] Zipf G. K. The hypothesis of the minimum equation as a unifying social principle: with attempted synthesis [J]. American Sociological Review, 1947, 12(6): 627-650.
[2] Curry L. A spatial analysis of gravity flows[J]. Regional Studies, 1972, 6(2): 131-147. [3] Griffith D A, Jones K G. Explorations into the relationship between spatial structure and spatial interaction [J]. Environment & Planning A, 1980, 12(2): 187-201. [4] Porojan A. Trade flows and spatial effects: The gravity model revisited [J]. Open Economies Review, 2001, 12(3): 265-280. [5] Tiefelsdorf M. Misspecifications in interaction model distance decay relations: A spatial structure effect [J]. Journal of Geographical Systems, 2003, 5(1): 25-50. [6] Black W R. Network autocorrelation in transport network and flow systems[J]. Geographical Analysis, 1992, 24(3): 207-222. [7] Lesage J P, Pace R K. Spatial econometric modeling of origin-destination Flows[J]. Journal of Regional Science, 2008, 48(5): 941-967. [8] 于文丽, 蒲英霞, 陈刚, 等. 基于空间自相关的中国省际人口迁移模式与机制分析[J]. 地理与地理信息学, 2012, 28(2): 44-49. Yu Wenli, Pu Yingxia, Chen Gang, et al. Spatal analysis of the patterns and mechanism of interprovincial migration flows in China [J]. Geography and Geo-Information Science,2012,28(2):44-49. [9] Griffith D A. Spatial structure and spatial interaction: 25 years later[J]. Review of Regional Studies, 2007, 37(1): 28-38. [10] Chun Y. Modeling network autocorrelation within migration flows by eigenvector spatial filtering [J]. Journal of Geographical Systems, 2008, 10(4): 317- 344. [11] Chun Y, Griffith D A. Modeling network autocorrelation in space-time migration flow data: An eigenvector spatial filtering approach [J]. Annals of the Association of American Geographers, 2011, 101(3): 523-536. [12] Chun Y, Kim H, Kim C. Modeling interregional commodity flows with incorporating network autocorrelation in spatial interaction models: An application of the US interstate commodity flows [J]. Computers, Environment & Urban Systems, 2012, 36(6): 583-591. [13] Chun Y, Griffith D A. A quality assessment of eigenvector spatial filtering based parameter estimates for the normal probability model [J]. Spatial Statistics, 2014, (10): 1-11. [14] 顾朝林, 蔡建明, 张伟, 等. 中国大中城市流动人口迁移规律研究[J]. 地理学报, 1999, 54(3): 204-212. Gu Chaolin, Cai Jianming, Zhang Wei, et al. A study on the patterns of migration in Chinese large and medium cities [J]. Acta Geographica Sinica, 1999, 54(3): 204-212. [15] 魏星, 王桂新. 中国东、中、西三大地带人口迁移特征分析[J]. 市场与人口分析, 2004, 10(5): 13-22. Wei Xing, Wang Guixing. Study on inter-area migration characteristics of east China, midland China and west China [J]. Market & Demographic Analysis, 2004, 10(5): 13-22. [16] 段成荣. 影响我国省际人口迁移的个人特征分析: 兼论“时间”因素在人口迁移研究中的重要性[J]. 人口研究, 2000, 24(4): 14-22. Duan Chengrong. Individual level determinants of interprovincial in China on the effects of time sequence in migration studies [J]. Population Research, 2000, 24(4):14-22. [17] 刘建波, 王桂新, 魏星. 基于嵌套Logit模型的中国省际人口二次迁移影响因素分析[J]. 人口研究, 2004, 28(4): 48-56. Liu Jianbo, Wang Guixin, Wei Xing. Determinants of interprovincial migration in China: nested logit models [J]. Population Research, 2004, 28(4): 48-56. [18] 王亚平, 蒲英霞, 马劲松, 等. 基于空间OD模型的中国省际人口迁移机制分析[J]. 西北师范大学学报(自然科学版), 2015, 51(3): 89-97. Wang Yaping, Pu Yingxia, Ma Jinsong, et al. Mechanism analysis of interprovincial migration flows in China based on spatial OD Models[J]. Journal of Northwest Normal University, 2015, 51(3): 89-97. [19] 马晓冬, 马荣华, 徐建刚. 基于ESDA-GIS的城镇群体空间结构[J]. 地理学报, 2004, 59(6): 1048-1057. Ma Xiaodong, Ma Ronghua., Xu Jiangang. Spatial structure of cities and towns with ESDA-GIS framework. [J]. Acta Geographica Sinica, 2004, 59(6): 1048-1057. [20] Thomas S. The Geography of Networks and R&D Collaborations [M]. Switzerland: Springer, 2013: 99-112. [21] Griffith D A. Spatial Autocorrelation and Spatial Filtering: Gaining Understanding through Theory and Scientific Visualization [M]. New York: Springer, 2003: 91-128. [22] 李扬, 刘慧, 汤青. 1985-2010年中国省际人口迁移时空格局特征[J]. 地理研究, 2015, 34(6): 1135-1148. Li Yang, Liu Hui, Tang Qing. Spatial-temporal patterns of China’s interprovincial migration during 1985-2010 [J]. Geographical Research, 2015, 34(6): 1135-1148. [23] 李薇. 我国省际人口迁移空间模式分析[J]. 人口研究, 2008, 32(4): 82-96. Li Wei. Analysis of spatial patterns of China’s interprovincial migration [J]. Population Research, 2008, 32(4):82-96. [24] 丁金宏, 刘振宇, 程丹明, 等. 中国人口迁移的区域差异与流场特征[J]. 地理学报, 2005, 60(1): 106-114. Ding Jinhong, Liu Zhenyu, Cheng Danming, et al. Areal differentiation of interprovincial migration in China and characteristics of the flow field [J]. Acta Geographica Sinica, 2005, 60(1): 106-114. [25] 李立宏. 中国人口迁移的影响因素浅析[J]. 西北人口, 2000, (2): 37-40. Li Lihong. Analysis of the influence factor on migration in China [J]. Northwest Population, 2000, 2(80): 37-40. [26] 俞路, 张善余. 我国三大都市圈人口迁移态势与影响因素分析[J]. 南方人口, 2005, 20(3): 17-23. Yu Lu, Zhang Shanyu. The migtation flow and the affecting variables: a case study of the Three Megalopolise of China [J]. South China Population, 2005, 20(3): 17-23. [27] 马荣华, 蒲英霞, 马晓冬. GIS空间关联模式发现[M]. 北京: 科学出版社, 2007. Ma Ronghua, Pu Yingxia, Ma Xiaodong. Mining spatial association patterns from GIS database [M]. Beijing: Social Science Edition, 2007. [28] Kung K S, Bai N, Lee Y. Human capital, migration, and A ‘vent’ for surplus rural labour in 1930s China: The case of the lower Yangzi[J]. Economic History Review, 2011, 64(S1): 117-141. [29] 蔡昉, 王德文. 作为市场化的人口流动: 第五次全国人口普查数据分析[J]. 中国人口科学, 2003,(5): 11-19. Cai Fang, Wang Dewen. Migration as marketization: based on the analysis of the Fifth Census data [J]. Chinese Journal of Population Science, 2003, (5): 11-19. [30] 刘晏伶, 冯建. 中国人口迁移特征及其影响因素: 基于第六次人口普查数据的分析[J]. 人文地理, 2014, (2): 129-137. Liu Yanling, Feng Jian. Characteristics and impact factors of migration in China: based on the analysis of the Sixth Census data [J]. Human Geography, 2014, (2): 129-137.
[1] Zipf G. K. The hypothesis of the minimum equation as a unifying social principle: with attempted synthesis [J]. American Sociological Review, 1947, 12(6): 627-650.
[2] Curry L. A spatial analysis of gravity flows[J]. Regional Studies, 1972, 6(2): 131-147. [3] Griffith D A, Jones K G. Explorations into the relationship between spatial structure and spatial interaction [J]. Environment & Planning A, 1980, 12(2): 187-201. [4] Porojan A. Trade flows and spatial effects: The gravity model revisited [J]. Open Economies Review, 2001, 12(3): 265-280. [5] Tiefelsdorf M. Misspecifications in interaction model distance decay relations: A spatial structure effect [J]. Journal of Geographical Systems, 2003, 5(1): 25-50. [6] Black W R. Network autocorrelation in transport network and flow systems[J]. Geographical Analysis, 1992, 24(3): 207-222. [7] Lesage J P, Pace R K. Spatial econometric modeling of origin-destination Flows[J]. Journal of Regional Science, 2008, 48(5): 941-967. [8] 于文丽, 蒲英霞, 陈刚, 等. 基于空间自相关的中国省际人口迁移模式与机制分析[J]. 地理与地理信息学, 2012, 28(2): 44-49. Yu Wenli, Pu Yingxia, Chen Gang, et al. Spatal analysis of the patterns and mechanism of interprovincial migration flows in China [J]. Geography and Geo-Information Science,2012,28(2):44-49. [9] Griffith D A. Spatial structure and spatial interaction: 25 years later[J]. Review of Regional Studies, 2007, 37(1): 28-38. [10] Chun Y. Modeling network autocorrelation within migration flows by eigenvector spatial filtering [J]. Journal of Geographical Systems, 2008, 10(4): 317- 344. [11] Chun Y, Griffith D A. Modeling network autocorrelation in space-time migration flow data: An eigenvector spatial filtering approach [J]. Annals of the Association of American Geographers, 2011, 101(3): 523-536. [12] Chun Y, Kim H, Kim C. Modeling interregional commodity flows with incorporating network autocorrelation in spatial interaction models: An application of the US interstate commodity flows [J]. Computers, Environment & Urban Systems, 2012, 36(6): 583-591. [13] Chun Y, Griffith D A. A quality assessment of eigenvector spatial filtering based parameter estimates for the normal probability model [J]. Spatial Statistics, 2014, (10): 1-11. [14] 顾朝林, 蔡建明, 张伟, 等. 中国大中城市流动人口迁移规律研究[J]. 地理学报, 1999, 54(3): 204-212. Gu Chaolin, Cai Jianming, Zhang Wei, et al. A study on the patterns of migration in Chinese large and medium cities [J]. Acta Geographica Sinica, 1999, 54(3): 204-212. [15] 魏星, 王桂新. 中国东、中、西三大地带人口迁移特征分析[J]. 市场与人口分析, 2004, 10(5): 13-22. Wei Xing, Wang Guixing. Study on inter-area migration characteristics of east China, midland China and west China [J]. Market & Demographic Analysis, 2004, 10(5): 13-22. [16] 段成荣. 影响我国省际人口迁移的个人特征分析: 兼论“时间”因素在人口迁移研究中的重要性[J]. 人口研究, 2000, 24(4): 14-22. Duan Chengrong. Individual level determinants of interprovincial in China on the effects of time sequence in migration studies [J]. Population Research, 2000, 24(4):14-22. [17] 刘建波, 王桂新, 魏星. 基于嵌套Logit模型的中国省际人口二次迁移影响因素分析[J]. 人口研究, 2004, 28(4): 48-56. Liu Jianbo, Wang Guixin, Wei Xing. Determinants of interprovincial migration in China: nested logit models [J]. Population Research, 2004, 28(4): 48-56. [18] 王亚平, 蒲英霞, 马劲松, 等. 基于空间OD模型的中国省际人口迁移机制分析[J]. 西北师范大学学报(自然科学版), 2015, 51(3): 89-97. Wang Yaping, Pu Yingxia, Ma Jinsong, et al. Mechanism analysis of interprovincial migration flows in China based on spatial OD Models[J]. Journal of Northwest Normal University, 2015, 51(3): 89-97. [19] 马晓冬, 马荣华, 徐建刚. 基于ESDA-GIS的城镇群体空间结构[J]. 地理学报, 2004, 59(6): 1048-1057. Ma Xiaodong, Ma Ronghua., Xu Jiangang. Spatial structure of cities and towns with ESDA-GIS framework. [J]. Acta Geographica Sinica, 2004, 59(6): 1048-1057. [20] Thomas S. The Geography of Networks and R&D Collaborations [M]. Switzerland: Springer, 2013: 99-112. [21] Griffith D A. Spatial Autocorrelation and Spatial Filtering: Gaining Understanding through Theory and Scientific Visualization [M]. New York: Springer, 2003: 91-128. [22] 李扬, 刘慧, 汤青. 1985-2010年中国省际人口迁移时空格局特征[J]. 地理研究, 2015, 34(6): 1135-1148. Li Yang, Liu Hui, Tang Qing. Spatial-temporal patterns of China’s interprovincial migration during 1985-2010 [J]. Geographical Research, 2015, 34(6): 1135-1148. [23] 李薇. 我国省际人口迁移空间模式分析[J]. 人口研究, 2008, 32(4): 82-96. Li Wei. Analysis of spatial patterns of China’s interprovincial migration [J]. Population Research, 2008, 32(4):82-96. [24] 丁金宏, 刘振宇, 程丹明, 等. 中国人口迁移的区域差异与流场特征[J]. 地理学报, 2005, 60(1): 106-114. Ding Jinhong, Liu Zhenyu, Cheng Danming, et al. Areal differentiation of interprovincial migration in China and characteristics of the flow field [J]. Acta Geographica Sinica, 2005, 60(1): 106-114. [25] 李立宏. 中国人口迁移的影响因素浅析[J]. 西北人口, 2000, (2): 37-40. Li Lihong. Analysis of the influence factor on migration in China [J]. Northwest Population, 2000, 2(80): 37-40. [26] 俞路, 张善余. 我国三大都市圈人口迁移态势与影响因素分析[J]. 南方人口, 2005, 20(3): 17-23. Yu Lu, Zhang Shanyu. The migtation flow and the affecting variables: a case study of the Three Megalopolise of China [J]. South China Population, 2005, 20(3): 17-23. [27] 马荣华, 蒲英霞, 马晓冬. GIS空间关联模式发现[M]. 北京: 科学出版社, 2007. Ma Ronghua, Pu Yingxia, Ma Xiaodong. Mining spatial association patterns from GIS database [M]. Beijing: Social Science Edition, 2007. [28] Kung K S, Bai N, Lee Y. Human capital, migration, and A ‘vent’ for surplus rural labour in 1930s China: The case of the lower Yangzi[J]. Economic History Review, 2011, 64(S1): 117-141. [29] 蔡昉, 王德文. 作为市场化的人口流动: 第五次全国人口普查数据分析[J]. 中国人口科学, 2003,(5): 11-19. Cai Fang, Wang Dewen. Migration as marketization: based on the analysis of the Fifth Census data [J]. Chinese Journal of Population Science, 2003, (5): 11-19. [30] 刘晏伶, 冯建. 中国人口迁移特征及其影响因素: 基于第六次人口普查数据的分析[J]. 人文地理, 2014, (2): 129-137. Liu Yanling, Feng Jian. Characteristics and impact factors of migration in China: based on the analysis of the Sixth Census data [J]. Human Geography, 2014, (2): 129-137. |
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