Acta Geographica Sinica ›› 2017, Vol. 72 ›› Issue (10): 1827-1844.doi: 10.11821/dlxb201710008
• Rural Development • Previous Articles Next Articles
Yefeng CHEN1,2,3(), Yanhui WANG1,2,3(
), Wenji ZHAO1,2,3, Zhuowei HU1,2,3, Fuzhou DUAN1,2,3
Received:
2016-09-26
Revised:
2017-03-17
Online:
2017-11-10
Published:
2017-11-06
Supported by:
Yefeng CHEN, Yanhui WANG, Wenji ZHAO, Zhuowei HU, Fuzhou DUAN. Contributing factors and classification of poor villages in China[J].Acta Geographica Sinica, 2017, 72(10): 1827-1844.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
Tab. 1
Village-level multi-dimensional poverty measurement indicators"
维度 | 指标编号 | 指标 | 指标释义 |
---|---|---|---|
地理环境(X1) | X11 | 到最近乡镇集市的距离 | 行政村到最近乡镇集市的平均距离(km) |
X12 | 地貌类型 | 行政村地貌类型(平原、丘陵、山地) | |
X13 | 遭受自然灾害频次 | 行政村当年所遭受的自然灾害次数(次) | |
行政村特征(X2) | X21 | 贫困村类型 | 行政村类型(革命老区村、少数民族聚居村、边境地区村、其他) |
X22 | 人口密度 | 行政村人口密度(人/km2) | |
生产生活条件(X3) | X31 | 人均经济用地面积 | 行政村人均经济用地面积(亩/人) |
X32 | 通路率 | 行政村内通机动车行驶道路自然村数量占总自然村数量的比例(%) | |
X33 | 通电率 | 行政村内通电户数占总户数的比例(%) | |
X34 | 通电话率 | 行政村内通电话户数占总户数的比例(%) | |
X35 | 安全饮用水比重 | 行政村内使用安全饮用水户数占总户数的比例(%) | |
X36 | 卫生厕所比重 | 行政村内拥有卫生厕所户数占总户数的比例(%) | |
X37 | 危房比重 | 行政村内住危房户数占总户数的比例(%) | |
劳动力状况(X4) | X41 | 劳动力比例 | 行政村劳动力总数占该村总人口的比例(%) |
X42 | 外出劳动力比例 | 行政村外出劳动力数量占该村劳动力总数的比例(%) | |
X43 | 劳动力文化素质 | 行政村初中及以上文化水平劳动力数量占该村劳动力总数的比例(%) | |
医疗卫生和社会保障(X5) | X51 | 诊所数量 | 行政村诊所数量(个) |
X52 | 每千人医生数 | 行政村每千人医生数量(个) | |
X53 | 参加新型农村合作医疗比例 | 行政村参加新型农村合作医疗人数占整个行政村人数的比例(%) | |
X54 | 参加新型农村社会养老保险比例 | 行政村参加新型农村社会养老保险人数占整个行政村人数的比例(%) | |
经济发展(X6) | X61 | 人均纯收入 | 行政村每年人均纯收入情况(元/人) |
Tab. 2
Standardization and weight determination of village-level multi-dimensional poverty indexes"
维度 | 维度 权重 | 指标 编号 | 贫困程度 | 主观 权重 | 客观 权重 | 组合 权重 | ||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||||||
地理环境(X1) | 0.260 | X11 | < 3 | [3, 7) | [7, 11) | [11, 18) | ≥18 | 0.189 | 0.001 | 0.146 |
X12 | 平原 | 丘陵 | 山地 | — | — | 0.452 | 0.778 | 0.527 | ||
X13 | 0 | — | 1 | 2 | > 2 | 0.359 | 0.221 | 0.327 | ||
行政村特征(X2) | 0.075 | X21 | 否 | — | 一类 | 两类 | 三类 | 0.554 | 0.840 | 0.760 |
X22 | [0, 120) | [120, 305) | [305, 703) | [703, 1001) | ≥1001 | 0.446 | 0.160 | 0.240 | ||
生产和生活条件(X3) | 0.250 | X31 | >7 | (3, 7] | (2, 3] | (1, 2] | [0, 1] | 0.263 | 0.000 | 0.069 |
X32 | (0.95, 1] | (0.9, 0.95] | (0.8, 0.9] | [0.5, 0.8] | [0, 0.5) | 0.320 | 0.371 | 0.413 | ||
X33 | (0.98, 1] | (0.94, 0.98] | (0.9, 0.94] | [0.8, 0.9] | [0, 0.8) | 0.214 | 0.021 | 0.074 | ||
X34 | (0.95, 1] | (0.9, 0.95] | (0.8, 0.9] | [0.5, 0.8] | [0, 0.5) | 0.036 | 0.078 | 0.078 | ||
X35 | (0.8, 1] | (0.6, 0.8] | (0.4, 0.6] | [0.3, 0.4] | [0, 0.3) | 0.110 | 1.042 | 0.338 | ||
X36 | (0.6, 1] | (0.4, 0.6] | (0.3, 0.4] | [0.2, 0.3] | [0, 0.2) | 0.024 | 0.199 | 0.109 | ||
X37 | [0, 0.05) | [0.05, 0.15) | [0.15, 0.25) | [0.25, 0.35] | (0.35, 1] | 0.114 | 0.137 | 0.151 | ||
劳动力状况(X4) | 0.199 | X41 | (0.7, 1] | (0.6, 0.7] | (0.5, 0.6] | [0.35, 0.5] | [0, 0.35) | 0.504 | 0.183 | 0.368 |
X42 | (0.5, 1] | (0.4, 0.5] | (0.3, 0.4] | [0.2, 0.3] | [0, 0.2) | 0.223 | 0.388 | 0.293 | ||
X43 | (0.85, 1] | (0.65, 0.85] | (0.45, 0.65] | [0.25, 0.45] | [0, 0.25) | 0.272 | 0.429 | 0.339 | ||
医疗卫生和社会保障(X5) | 0.079 | X51 | >3 | 3 | 2 | 1 | 0 | 0.170 | 0.024 | 0.056 |
X52 | >5 | (3, 5] | (1, 3] | (0, 1] | 0 | 0.346 | 0.005 | 0.080 | ||
X53 | (95,100] | (90, 95] | (80, 90] | (0, 80] | 0 | 0.213 | 0.168 | 0.178 | ||
X54 | (80, 100] | (50, 80] | (30, 50] | (0, 30] | 0 | 0.271 | 0.803 | 0.686 | ||
经济发展(X6) | 0.136 | X61 | > 5543 | (3960, 5543] | (3168, 3960] | [2300, 3168] | [0, 2300) | 1 | 1 | 1 |
Tab. 3
The statistical table of reasons leading to rural poverty"
指标 | 通路率 | 地貌类型 | 遭受自然灾害频次 | 人均纯收入 | 劳动力比例 | 劳动力 文化素质 | 外出劳动力比例 | 住危房比重 | 到最近乡镇集市的距离 | 参加新型农村社会养老保险的比例 |
---|---|---|---|---|---|---|---|---|---|---|
贡献度(%) | 14.82 | 12.80 | 9.50 | 8.25 | 7.95 | 6.97 | 6.22 | 5.73 | 5.31 | 4.26 |
平均排名 | 2.61 | 2.59 | 4.89 | 5.82 | 5.35 | 6.88 | 7.61 | 7.72 | 8.14 | 9.94 |
Beta | -0.220 | 0.164 | 0.168 | -0.363 | -0.157 | -0.191 | -0.158 | 0.116 | 0.038 | -0.093 |
指标 | 卫生厕所比重 | 贫困村类型 | 人均经济用地面积 | 安全饮水比重 | 通电话率 | 人口密度 | 参加新型农村合作医疗比例 | 通电率 | 千人医生数 | 诊所数量 |
贡献度(%) | 3.41 | 3.35 | 2.51 | 2.35 | 1.83 | 1.53 | 0.89 | 0.87 | 0.84 | 0.60 |
平均排名 | 10.72 | 11.17 | 12.07 | 13.45 | 13.98 | 15.18 | 17.68 | 17.71 | 17.13 | 19.37 |
Beta | -0.081 | - | -0.009 | -0.060 | -0.086 | - | -0.035 | -0.041 | -0.035 | -0.074 |
Tab. 4
The statistical table of stricken-poverty types"
贫困类型 | 贫困村比例(%) | G致贫概率(%) | V致贫概率(%) | P致贫概率(%) | L致贫概率(%) | M致贫概率(%) | E致贫概率(%) | |
---|---|---|---|---|---|---|---|---|
单因素主导型 | 36.99 | 0.14 | 50.00 | 0.00 | 29.17 | 20.83 | 0.00 | 0.00 |
双因素驱动型 | 48.46 | 8.24 | 81.67 | 1.98 | 69.15 | 46.37 | 0.33 | 0.50 |
三因素支配型 | 55.67 | 53.33 | 97.64 | 5.69 | 95.41 | 94.80 | 3.28 | 3.18 |
四因素协同型 | 56.28 | 28.99 | 98.34 | 33.92 | 96.45 | 98.12 | 32.59 | 40.58 |
五因素联合型 | 54.34 | 8.36 | 99.40 | 79.17 | 98.00 | 99.23 | 65.43 | 58.78 |
六因素综合型 | 51.58 | 0.94 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 |
总计 | 55.08 | 100.00 | 96.63 | 20.59 | 93.71 | 92.09 | 17.64 | 19.36 |
Tab. 5
The statistical table of sample stricken-poverty villages"
所在地区 | 村名 | VPI | 贫困类型 | 主致贫因素 |
---|---|---|---|---|
福建永定县湖坑镇 | 南江村 | 39.42 | G单因素主导型 | 地貌类型、灾害、到最近乡镇集市距离 |
河南叶县水寨乡 | 伍刘村 | 35.13 | L单因素主导型 | 劳动力文化素质、外出劳动力比例、劳动力比例 |
贵州西秀区杨武布依族苗族乡 | 补董村 | 47.13 | GP双因素驱动型 | 地貌类型、灾害、收入、到最近乡镇集市距离、住房条件 |
河北威县方家营乡 | 孙家寨村 | 50.59 | PL双因素驱动型 | 劳动力文化素质、到最近乡镇集市距离、劳动力比例、卫生条件 |
湖北长阳土家族自治县渔峡口镇 | 青龙村 | 63.40 | GPL三因素支配型 | 通路、地貌类型、灾害、劳动力比例、收入、到最近乡镇集市距离 |
湖南新宁县安山乡 | 安山村 | 55.00 | PLE三因素支配型 | 通路、收入、劳动力比例、地貌类型、劳动力文化素质、饮水安全 |
贵州道真仡佬族苗族自治县洛龙镇 | 鹰咀村 | 71.96 | GPLE四因素协同型 | 通路、地貌类型、收入、灾害、劳动力文化素质、饮水安全 |
广西都安瑶族自治县地苏镇 | 镇安村 | 53.23 | VPLE四因素协同型 | 收入、通路、劳动力比例、民族村、革命老区、到最近乡镇集市距离 |
云南福贡县架科底乡 | 里吾底村 | 72.39 | GPLME五因素联合型 | 收入、通路、地貌类型、劳动力文化素质、外出劳动力比例、社会保障 |
安徽萧县马井镇 | 麻堤口村 | 53.02 | GVPLM五因素联合型 | 通路、灾害、劳动力比例、收入、到最近乡镇集市距离、革命老区 |
青海大通回族土族自治县朔北藏族乡 | 药匠台村 | 50.09 | 六因素综合型 | 地貌类型、灾害、收入、劳动力文化素质、到最近乡镇集市距离 |
新疆阿勒泰地区富蕴县吐尔洪乡 | 阔克铁热克村 | 49.20 | 六因素综合型 | 收入、灾害、地貌类型、民族村、边境村、到最近乡镇集市距离 |
Tab. 6
The statistical table of policy support"
“整村推进”工作实施情况 | 泰尔系数 | |||||||
---|---|---|---|---|---|---|---|---|
已实施 | 正在实施 | 未实施 | T总 | T间 | T内 | |||
贫困程度 | 贫困村数量 | 8264 | 19967 | 23230 | - | - | - | |
平均VPI得分 | 54.16 | 55.63 | 54.92 | 0.619 | 0.018 | 0.601 | ||
致贫因素 | 通路率贡献度(%) | 13.64 | 14.65 | 14.80 | 0.651 | 0.014 | 0.636 | |
地形类型贡献度(%) | 13.92 | 12.57 | 13.07 | 0.638 | 0.020 | 0.618 | ||
遭受自然灾害频次贡献度(%) | 9.84 | 9.66 | 9.31 | 0.661 | 0.018 | 0.643 | ||
人均纯收入贡献度(%) | 7.77 | 8.34 | 7.84 | 0.626 | 0.023 | 0.603 | ||
劳动力比例贡献度(%) | 8.30 | 7.95 | 8.08 | 0.663 | 0.019 | 0.644 | ||
劳动力素质贡献度(%) | 6.86 | 6.98 | 6.85 | 0.655 | 0.021 | 0.633 | ||
贫困类型 | 单因素主导型比例(%) | 0.22 | 0.06 | 0.18 | 2.728 | 0.021 | 2.706 | |
双因素驱动型比例(%) | 9.97 | 7.22 | 8.50 | 1.208 | 0.028 | 1.181 | ||
三因素支配型比例(%) | 48.71 | 55.49 | 53.11 | 0.745 | 0.016 | 0.729 | ||
四因素协同型比例(%) | 32.15 | 27.82 | 28.88 | 0.852 | 0.022 | 0.830 | ||
五因素联合型比例(%) | 8.19 | 8.44 | 8.35 | 1.304 | 0.022 | 1.282 | ||
六因素综合型比例(%) | 0.76 | 17.31 | 0.98 | 1.974 | 0.004 | 1.970 |
[1] | Zhang Quanhong, Zhou Qiang. On the dynamic multidimensional measurement and decomposition of China's poverty:1989-2009. The Journal of Quantitative & Technical Economics, 2014(6): 88-101. |
[张全红, 周强. 中国多维贫困的测度及分解.数量经济技术经济研究, 2014(6): 88-101.] | |
[2] |
Lu C.Poverty and Development in China: Alternative Approaches to Poverty Assessment. New York: Routledge, 2012.
doi: 10.1080/00220388.2012.739745 |
[3] |
Jean-Yves D, Abdelkrim A, John G.Chronic and transient poverty: Measurement and estimation, with evidence from China, Journal of Development Economics, 2010, 91(2): 266-277.
doi: 10.1016/j.jdeveco.2009.09.002 |
[4] | State Council of China. China Rural Poverty Alleviation and Development Program (2011-2020). Beijing: The State Council of China, 2011. |
[国务院. 中国农村扶贫开发纲要(2011-2020年). 北京: 中华人民共和国国务院公报, 2011.] | |
[5] |
Tong Yuquan, Long Hualou.Study on sustainable development in the poor areas coupled with vulnerable eco-environment. China Population, Resources and Environment, 2003, 13(2): 47-51.
doi: 10.3969/j.issn.1002-2104.2003.02.010 |
[佟玉权, 龙花楼. 脆弱生态环境耦合下的贫困地区可持续发展研究. 中国人口·资源与环境, 2003, 13(2): 47-51.]
doi: 10.3969/j.issn.1002-2104.2003.02.010 |
|
[6] |
Yang S.Poverty reduction in China: The contribution of popularizing primary education. China & World Economy, 2012, 20(1): 105-122.
doi: 10.1111/j.1749-124X.2012.01275.x |
[7] | Deng Weijie.Classifying stricken-poverty villages and developing poverty pointedly. Rural Economy, 2013(5): 42-44. |
[邓维杰. 贫困村分类与针对性扶贫开发. 农村经济, 2013(5): 42-44.] | |
[8] |
Grays L C, Moseley W G.A geographical perspective on poverty-environment interactions. The Geographical Journal, 2005, 171(1): 9-23.
doi: 10.1111/j.1475-4959.2005.00146.x |
[9] |
Liu Yanhua, Xu Yong.Geographical identification and classification of multi-dimensional poverty in rural China. Acta Geographica Sinica, 2015, 70(6): 991-1007.
doi: 10.11821/dlxb201506012 |
[刘艳华, 徐勇. 中国农村多维贫困地理识别及类型划分. 地理学报, 2015, 70(6): 991-1007.]
doi: 10.11821/dlxb201506012 |
|
[10] | Luo Qing, Fan Xinsheng, Gao Genghe, et al.Spatial distribution of poverty village and influencing factors in Qinba Mountains. Economic Geography, 2016, 36(4): 126-132. |
[罗庆, 樊新生, 高更和, 等. 秦巴山区贫困村的空间分布特征及其影响因素. 经济地理, 2016, 36(4): 126-132.] | |
[11] |
Olivia S, Gibson J, Rozelle S, et al.Mapping poverty in rural China: How much does the environment matter? Environment and Development Economics, 2011, 16: 129-153.
doi: 10.1017/S1355770X10000513 |
[12] |
Pei Yinbao, Liu Xiaopeng, Li Yonghong, et al.Investigation and analysis of villages in extreme spatial poverty in Liupan mountain contiguous areas: A case study of Xiji, Ningxia Province. Research of Agricultural Modernization, 2015, 36(5): 748-754.
doi: 10.13872/j.1000-0275.2015.0130 |
[裴银宝, 刘小鹏, 李永红, 等. 六盘山特困片区村域空间贫困调查与分析: 以宁夏西吉县为例. 农业现代化研究, 2015, 36(5): 748-754.]
doi: 10.13872/j.1000-0275.2015.0130 |
|
[13] |
Liu Lina, Li Junjie.Research on present situation and affecting factors of poverty based on village scale in Wuling ethnic areas of Hubei Province. Journal of Huazhong Agricultural University (Social Sciences Edition), 2015(2): 126-132.
doi: 10.13300/j.cnki.hnwkxb.2015.02.017 |
[刘丽娜, 李俊杰. 基于村级尺度的湖北武陵民族地区贫困现状及影响因素研究. 华中农业大学学报(社会科学版), 2015(2): 126-132.]
doi: 10.13300/j.cnki.hnwkxb.2015.02.017 |
|
[14] | Chen Zhongwen.Empirical research on causes of rural poverty and mechanism of poverty alleviation in mountain area: Transaction cost perspective [D]. Wuhan: Huazhong Agricultural University, 2013. |
[陈忠文. 山区农村贫困机理及脱贫机制实证研究: 一个交易成本视角[D]. 武汉: 华中农业大学, 2013.] | |
[15] |
Wang Yanhui, Qian Leyi, Duan Fuzhou, et al.An analysis on multidimensional poverty measurement and research on its spatial distribution pattern: A case study from Neixiang County. Population & Economics, 2014(5): 114-120.
doi: 10.3969/j.issn.1000-4149.2014.05.013 |
[王艳慧, 钱乐毅, 段福洲, 等. 村级贫困人口多维测算及其贫困特征分析: 以河南省内乡县为例. 人口与经济, 2014(5): 114-120.]
doi: 10.3969/j.issn.1000-4149.2014.05.013 |
|
[16] | Zhao Ying.Research on the spatial poverty trap of concentrated contiguous areas with particular difficulties on basis of the geographic capital: Taking Longde County of Ningxia for example [D]. Yinchuan: Ningxia University, 2015. |
[赵莹. 基于地理资本的集中连片特困地区空间贫困陷阱研究: 以宁夏隆德县为例[D]. 银川: 宁夏大学, 2015.] | |
[17] | Liu Yansui, Zhou Yang, Liu Jilai.Regional differentiation characteristics of rural poverty and targeted poverty alleviation strategy in China. Bulletin of Chinese Academy of Sciences, 2016, 31(3): 269-278. |
[刘彦随, 周扬, 刘继来. 中国农村贫困化地域分异特征及其精准扶贫策略. 中国科学院院刊, 2016, 31(3): 269-278.] | |
[18] | [Long Hualou, Tu Shuangshuang, Ge Dazhuan.Effects of new-type urbanization on poverty alleviation and development and corresponding countermeasures. Bulletin of Chinese Academy of Sciences, 2016, 31(3): 309-319. |
[龙花楼, 屠爽爽, 戈大专. 新型城镇化对扶贫开发的影响与应对研究. 中国科学院院刊, 2016, 31(3): 309-319.] | |
[19] | Liu Xiaopeng, Su Shengliang, Wang Yajuan, et al.The index system of spatial poverty of village level to monitor in concentrated contiguous areas with particular difficulties. Scientia Geographica Sinica, 2014, 34(4): 447-453. |
[刘小鹏, 苏胜亮, 王亚娟, 等. 集中连片特殊困难地区村域空间贫困测度指标体系研究. 地理科学, 2014, 34(4): 447-453.] | |
[20] | [Chen Yefeng, Wang Yanhui, Wang Xiaolin.Measurement and spatial analysis of poverty-stricken villages in China. Geographical Research, 2016, 35(12): 2298-2308. |
[陈烨烽, 王艳慧, 王小林. 中国贫困村测度与空间分布特征分析. 地理研究, 2016, 35(12): 2298-2308.] | |
[21] |
Wang Yanhui, Chen Yefeng.Using VPI to measure poverty-stricken villages in China. Social Indicators Research, 2016, 127(3): 1-25. doi: 10. 1007/s11205-016-1391-5.
doi: 10.1007/s11205-015-0964-z |
[22] | Sen A.Development as Freedom. Oxford: Oxford University Press, 1999. |
[阿马蒂亚·森. 以自由看待发展. 北京: 中国人民大学出版社, 2006.] | |
[23] | Yue Yingping, He Lilong.A note of academic history accurate poverty alleviation: Sen's poverty concept. On Economic Problems, 2016(12): 17-22. |
[岳映平, 贺立龙. 精准扶贫的一个学术史注角: 阿马蒂亚·森的贫困观. 经济问题, 2016(12): 17-22.] | |
[24] |
Gobillon L, Selod H.Spatial mismatch, poverty, and vulnerable populations. Handbook of Regional Science, 2014: 93-107.
doi: 10.1007/978-3-642-23430-9_7 |
[25] |
Barbier E B.Poverty, development and environment. Environment and Development Economics, 2010, 15(6): 635-660.
doi: 10.1017/S1355770X1000032X |
[26] | Ou Haiyan, Huang Guoyong.An empirical analysis of natural geography environment and poverty effect: From the perspective of space poverty theory. Journal of Anhui Agricultural University (Social Sciences Edition), 2015, 24(1): 13-19. |
[欧海燕, 黄国勇. 自然地理环境贫困效应实证分析: 基于空间贫困理论视角. 安徽农业大学学报(社会科学版), 2015, 24(1): 13-19.] | |
[27] |
Harun U.A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm. Knowledge-Based Systems, 2011, (24): 1024-1032.
doi: 10.1016/j.knosys.2011.04.014 |
[28] |
Wang Y, Qian L.A PPI-MVM model for identifying poverty-stricken villages: A case study from Qianjiang District in Chongqing, China. Social Indicators Research, 2015, 124(3). doi: 10.1007/s11205-015-1190-4.
doi: 10.1007/s11205-015-1190-4 |
[29] | Lv Xiangting.Survey of the screening methods of comprehensive evaluation index.Co-Operative Economy & Science, 2009(3): 54. |
[吕香亭. 综合评价指标筛选方法综述.合作经济与科技, 2009(3): 54.] | |
[30] |
Jiang Yuxi, Chi Guotai, Yan Lijun.The linear combination weights method based on maximum entropy principle. Operations Research and Management Science, 2011, 20(1): 53-59.
doi: 10.3969/j.issn.1007-3221.2011.01.010 |
[姜昱汐, 迟国泰, 严丽俊. 基于最大熵原理的线性组合赋权方法. 运筹与管理, 2011, 20(1): 53-59.]
doi: 10.3969/j.issn.1007-3221.2011.01.010 |
|
[31] | Alkire S, Foster J.Counting and Multidimensional Poverty Measurement. OPHI Working Papers Series, 2008. |
[32] | Murayama Y, Thapa R B.Spatial Analysis and Modeling in Geographical Transformation Process: GIS-based Applications. Springer, 2011. |
[33] | Sun Caizhi, Wang Xueni, Zou Wei.Measurement and spatial driving type analysis for water poverty in China based on WPI-LSE model. Economic Geography, 2012, 32(3): 9-15. |
[孙才志, 王雪妮, 邹玮. 基于WPI-LSE模型的中国水贫困测度及空间驱动类型分析. 经济地理, 2012, 32(3): 9-15.] | |
[34] |
Feng Zhiming, Yang Yanzhao, Song Yu, et al.Study on the land use structure of Chinese counties. Journal of Natural Resources, 2003, 18(5): 552-561.
doi: 10.11849/zrzyxb.2003.05.006 |
[封志明, 杨艳昭, 宋玉, 等. 中国县域土地利用结构类型研究. 自然资源学报, 2003, 18(5): 552-561.]
doi: 10.11849/zrzyxb.2003.05.006 |
|
[35] | Hong Z.Case influence analysis of LSE-based unbiased estimated covariance matrix in multilinear model. Journal of Suzhou University, 1996, 12(2): 45-50. |
[36] | Robert H.Spatial Data Analysis: Theory and Practice. Cambridge: Cambridge University Press, 2003: 211-217. |
[37] |
Zhang X P, Kanbnr R.What difference do polarization measures make? An application to China. Journal of Development Studies, 2001, 37(3): 85-98.
doi: 10.1080/00220380412331321981 |
[38] | Tang Xiaomei.Study on problems and countermeasures for implementation of poverty alleviation policy of whole village advance: Take Tianzhu Village in Cangxi County as an example [D]. Chongqing: Southwest University, 2013. |
[唐小梅. 整村推进扶贫模式政策实施中的问题与对策研究: 以苍溪县天主村为例[D]. 重庆: 西南大学, 2013.] | |
[39] | Wang Cheng, Fei Zhihui.Study on the relative deprivation of the relocated farmer households in the process of whole-village advance: A case study of Dazhu Village. Journal of Southwest University (Natural Science Edition), 2015, 37(4): 41-46. |
[王成, 费智慧. 整村推进进程中搬迁农户相对剥夺感研究: 以重庆市合川区大柱村为例. 西南大学学报(自然科学版), 2015, 37(4): 41-46.] |
[1] | GU Hengyu, SHEN Tiyan. Spatial evolution characteristics and driving forces of Chinese highly educated talents [J]. Acta Geographica Sinica, 2021, 76(2): 326-340. |
[2] | ZHU Shengjun, JIN Wenwan. Local export variety, regional institutions and firm related diversification [J]. Acta Geographica Sinica, 2021, 76(2): 398-414. |
[3] | JIN Fengjun, YAO Zuolin, CHEN Zhuo. Development characteristics and construction prospects for an integrated economic zone in the South China Sea Region [J]. Acta Geographica Sinica, 2021, 76(2): 428-443. |
[4] | SUN Hongri, LIU Yanjun, ZHOU Guolei. The spatiotemporal differentiation and mechanisms of traffic dominance in Northeast China [J]. Acta Geographica Sinica, 2021, 76(2): 444-458. |
[5] | LI Gang, XUE Shuyan, MA Xueyao, ZHOU Junjun, XU Tingting, WANG Jiaobei. Spatio-temporal pattern evolution and formation mechanism of missing person incidents in China [J]. Acta Geographica Sinica, 2021, 76(2): 310-325. |
[6] | GE Quansheng, ZHU Huiyi. Changes of the physical and human geographical environment in China during the past 2000 years [J]. Acta Geographica Sinica, 2021, 76(1): 3-14. |
[7] | ZHANG Xinghang, ZHANG Baiping, WANG Jing, YU Fuqin, ZHAO Chao, YAO Yonghui. North-south transect series in vegetation of eastern China's north-south transitional zone and their significance for determining climate dividing line [J]. Acta Geographica Sinica, 2021, 76(1): 30-43. |
[8] | LI Zhe, DING Yongjian, CHEN Aijiao, ZHANG Zhihua, ZHANG Shiqiang. Characteristics of warming hiatus of the climate change in Northwest China from 1960 to 2019 [J]. Acta Geographica Sinica, 2020, 75(9): 1845-1859. |
[9] | GUO Zecheng, WEI Wei, SHI Peiji, ZHOU Liang, WANG Xufeng, LI Zhenya, PANG Sufei, XIE Binbin. Spatiotemporal changes of land desertification sensitivity in the arid region of Northwest China [J]. Acta Geographica Sinica, 2020, 75(9): 1948-1965. |
[10] | AO Rongjun, CHANG Liang. Influencing mechanism of regional ageing in China based on the Structural Equation Model [J]. Acta Geographica Sinica, 2020, 75(8): 1572-1584. |
[11] | SONG Zhouying, ZHU Qiaoling. Spatio-temporal pattern and driving forces of urbanization in China's border areas [J]. Acta Geographica Sinica, 2020, 75(8): 1603-1616. |
[12] | MA Chunyue, Mamat Sawut, YAO Jie, Gulnur Isak. Spatio-temporal changes of cotton production in China from 1950 to 2015 [J]. Acta Geographica Sinica, 2020, 75(8): 1699-1710. |
[13] | ZHENG Jingyun, ZHANG Xuezhen, LIU Yang, HAO Zhixin. The assessment on hydroclimatic changes of different regions in China at multi-scale during the past millennium [J]. Acta Geographica Sinica, 2020, 75(7): 1432-1450. |
[14] | TAO Zexing, GE Quansheng, WANG Huanjiong. Spatio-temporal variations in the thermal requirement of the first flowering dates of Salix babylonica and Ulmus pumila in China during 1963-2018 [J]. Acta Geographica Sinica, 2020, 75(7): 1451-1464. |
[15] | QU Shijin, HU Shougeng, LI Quanfeng. Stages and spatial patterns of urban built-up land transition in China [J]. Acta Geographica Sinica, 2020, 75(7): 1539-1553. |