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居民地方感的尺度偏好与影响因素研究

徐梦洁 王如月 刘颖 吴红梅

徐梦洁, 王如月, 刘颖, 吴红梅. 居民地方感的尺度偏好与影响因素研究[J]. 华南师范大学学报(自然科学版), 2020, 52(2): 91-101. doi: 10.6054/j.jscnun.2020031
引用本文: 徐梦洁, 王如月, 刘颖, 吴红梅. 居民地方感的尺度偏好与影响因素研究[J]. 华南师范大学学报(自然科学版), 2020, 52(2): 91-101. doi: 10.6054/j.jscnun.2020031
XU Mengjie, WANG Ruyue, LIU Ying, WU Hongmei. The Scale Preference of the Residents' Sense of Place and its Factors[J]. Journal of South China normal University (Natural Science Edition), 2020, 52(2): 91-101. doi: 10.6054/j.jscnun.2020031
Citation: XU Mengjie, WANG Ruyue, LIU Ying, WU Hongmei. The Scale Preference of the Residents' Sense of Place and its Factors[J]. Journal of South China normal University (Natural Science Edition), 2020, 52(2): 91-101. doi: 10.6054/j.jscnun.2020031

居民地方感的尺度偏好与影响因素研究

doi: 10.6054/j.jscnun.2020031
基金项目: 

教育部人文社会科学研究规划基金项目 16YJAZH067

详细信息
    通讯作者:

    吴红梅,副教授,Email:7564268@qq.com

  • 中图分类号: K901.3

The Scale Preference of the Residents' Sense of Place and its Factors

  • 摘要: 以南京农业大学学生为被试,通过半结构化的调查问卷,结合定量和质性分析方法,了解现有行政区划体系下居民对地方依附和地方认同的偏好尺度,分析其人口统计学差异,揭示地方感形成机制与居民地方感偏好尺度的关联.研究结果表明:(1)居民地方依附的尺度偏好呈“倒U型曲线”;地方认同的尺度偏好随尺度递减而下降. (2)年龄、独生子女与否、民族、户籍、专业、入学前的住校时间都会影响居民地方感尺度偏好. (3)地方依附和地方认同作为地方感的从属概念,均包含了情感、认知和行为的过程,都可以采用认同领域的指导性理论加以诠释.
  • 图  1  改进后的地方感P-P-P框架

    Figure  1.  The improved P-P-P framework for sense of place

    表  1  被试地方感偏好尺度的频数分布

    Table  1.   The frequency distribution of scale preference of the subjects' sense of place 

    维度/分组 省/直辖市/自治区 地级市/省辖市/自治州 县/自治县/区 乡/民族乡/镇/街道 村/社区
    地方依附 54(20.7%) 89(34.1%) 81(31.0%) 17(6.5%) 20(7.7%)
      男生 18(24.0%) 26(34.7%) 18(24.0%) 5(6.7%) 8(10.7%)
      女生 36(19.4%) 63(33.9%) 63(33.9%) 12(6.5%) 12(6.5%)
      19~20岁 7(14.3%) 15(30.6%) 19(38.8%) 4(8.2%) 4(8.2%)
      21岁 18(17.1%) 44(41.9%) 37(35.2%) 4(3.8%) 2(1.9%)
      22岁及以上 29(27.1%) 30(28.0%) 25(23.4%) 9(8.4%) 14(13.1%)
      独生子女 31(18.7%) 70(42.2%) 48(28.9%) 9(5.4%) 8(4.8%)
      非独子女 23(24.2%) 19(20.0%) 33(34.7%) 8(8.4%) 12(12.6%)
      汉族 44(18.9%) 87(37.3%) 74(31.8%) 15(6.4%) 13(5.6%)
      少数民族 10(35.7%) 2(7.1%) 7(25.0%) 2(7.1%) 7(25.0%)
      城规专业 21(21.4%) 23(23.5%) 39(39.8%) 7(7.1%) 8(8.2%)
      人力专业 8(14.3%) 28(50.0%) 14(25.0%) 3(5.4%) 3(5.4%)
      土管专业 16(21.1%) 28(36.8%) 21(27.6%) 4(5.3%) 7(9.2%)
      其他专业 9(29.0%) 10(32.3%) 7(22.6%) 3(9.7%) 2(6.5%)
      一年级 1(3.6%) 6(21.4%) 16(57.1%) 1(3.6%) 4(14.3%)
      二年级 9(29.0%) 9(29.0%) 8(25.8%) 4(12.9%) 1(3.2%)
      三年级 42(21.4%) 73(37.2%) 55(28.1%) 11(5.6%) 15(7.7%)
      四年级 2(33.3%) 1(16.7%) 2(33.3%) 1(16.7%) 0(0.0%)
      非农户籍 35(21.6%) 69(42.6%) 46(28.4%) 10(6.2%) 2(1.2%)
      农业户籍 19(19.2%) 20(20.2%) 35(35.4%) 7(7.1%) 18(18.2%)
      未住校 16(17.8%) 32(35.6%) 36(40.0%) 3(3.3%) 3(3.3%)
      住校1~3年 22(23.2%) 38(40.0%) 20(21.1%) 9(9.5%) 6(6.3%)
      住校4年及以上 16(21.1%) 19(25.0%) 25(32.9%) 5(6.6%) 11(14.5%)
    地方认同 146(55.9%) 92(35.2%) 23(8.8%) 0(0.0%) 0(0.0%)
      男生 43(57.3%) 28(37.3%) 4(5.3%) 0(0.0%) 0(0.0%)
      女生 103(55.4%) 64(34.4%) 19(10.2%) 0(0.0%) 0(0.0%)
      19~20岁 26(53.1%) 21(42.9%) 2(4.1%) 0(0.0%) 0(0.0%)
      21岁 55(52.4%) 39(37.1%) 11(10.5%) 0(0.0%) 0(0.0%)
      22岁及以上 65(60.7%) 32(29.9%) 10(9.3%) 0(0.0%) 0(0.0%)
      独生子女 80(48.2%) 73(44.0%) 13(7.8%) 0(0.0%) 0(0.0%)
      非独子女 66(69.5%) 19(20.0%) 10(10.5%) 0(0.0%) 0(0.0%)
      汉族 124(53.2%) 88(37.8%) 21(9.0%) 0(0.0%) 0(0.0%)
      少数民族 22(78.6%) 4(14.3%) 2(7.1%) 0(0.0%) 0(0.0%)
      城规专业 53(54.1%) 34(34.7%) 11(11.2%) 0(0.0%) 0(0.0%)
      人力专业 33(58.9%) 19(33.9%) 4(7.1%) 0(0.0%) 0(0.0%)
      土管专业 40(52.6%) 29(38.2%) 7(9.2%) 0(0.0%) 0(0.0%)
      其他专业 20(64.5%) 10(32.3%) 1(3.2%) 0(0.0%) 0(0.0%)
      一年级 13(46.4%) 14(50.0%) 1(3.6%) 0(0.0%) 0(0.0%)
      二年级 20(64.5%) 8(25.8%) 3(9.7%) 0(0.0%) 0(0.0%)
      三年级 109(55.6%) 68(34.7%) 19(9.7%) 0(0.0%) 0(0.0%)
      四年级 4(66.7%) 2(33.3%) 0(0.0%) 0(0.0%) 0(0.0%)
      非农户籍 88(54.3%) 62(38.3%) 12(7.4%) 0(0.0%) 0(0.0%)
      农业户籍 58(58.6%) 30(30.3%) 11(11.1%) 0(0.0%) 0(0.0%)
      未住校 51(56.7%) 28(31.1%) 11(12.2%) 0(0.0%) 0(0.0%)
      住校1~3年 47(49.5%) 41(43.2%) 7(7.4%) 0(0.0%) 0(0.0%)
      住校4年及以上 48(63.2%) 23(30.3%) 5(6.6%) 0(0.0%) 0(0.0%)
    注:括号内数值为频数相应的比重.
    下载: 导出CSV

    表  2  地方感尺度偏好的人口统计学特征卡方检验参数

    Table  2.   The parameters of the chi-square test of demographic characteristics

    特征 地方感 x2 Sig
    性别 地方依附 3.667 0.454
    地方认同 1.612 0.447
    年龄 地方依附 17.160 0.002**
    地方认同 4.057 0.401
    独生/非独 地方依附 15.910 0.003**
    地方认同 15.243 0.000**
    民族 地方依附 21.101 0.000**
    地方认同 7.012 0.023*
    户籍 地方依附 33.273 0.000**
    地方认同 2.263 0.323
    专业 地方依附 14.290 0.027*
    地方认同 2.621 0.863
    年级 地方依附 3.988 0.136
    地方认同 0.447 0.800
    上大学前的住校时间 地方依附 12.737 0.013*
    地方认同 5.928 0.205
    注:*5%显著水平;**1%极显著水平.
    下载: 导出CSV

    表  3  地方依附编码一致性检验结果

    Table  3.   The results of inter-rater reliability for coding of place attachment

    代码 Kappa指数
    主体 0.87
      个人 0.89
      群体 0.41
    过程 0.87
      情感 -
      认知 0.83
      行为 0.90
    客体 0.90
      地方的自然属性 -
      地方的社会属性 0.81
      地方的人文经济属性 0.89
      地方的空间属性 0.75
    其他 0.71
      特定语境 -
      未分类 -
    下载: 导出CSV

    表  4  地方认同编码一致性检验结果

    Table  4.   The results of inter-rater reliability for coding of place identity

    代码 Kappa指数
    主体 0.89
      个人 0.89
      群体 0.48
    过程 0.87
      情感 -
      认知 0.55
      行为 0.61
    客体 0.96
      地方的自然属性 -
      地方的社会属性 0.43
      地方的人文经济属性 0.97
      地方的空间属性 0.96
    其他 0.56
      特定语境 -
      未分类 -
    下载: 导出CSV

    表  5  被试地方感编码结果的频数分布

    Table  5.   The frequency distribution of coding results of subjects' sense of place

    一级代码 二级代码 三级代码 地方依附 地方认同
    频数/次 比重/% 频数/次 比重/%
    主体 个人 经历 104 39.8 15 5.7
    重大事件 25 9.6 3 1.1
    自我实现 30 11.5 3 1.1
    群体 地缘认同 28 10.7 19 7.3
    民族认同 3 1.1 1 0.4
    过程 情感 积极的情感 99 37.9 17 6.5
    认知 熟悉 37 14.2 2 0.8
    回忆与牵挂 16 6.1 1 0.4
    观点 9 3.4 7 2.7
    行为 习惯 17 6.5 58 22.2
    承担义务 2 0.8 2 0.8
    靠近家乡 4 1.5 1 0.4
    客体 社会属性 社会符号 34 13.0 13 5.0
    社交场合 19 7.3 1 0.4
    人文属性 地方优势 39 14.9 121 46.4
    地方的独特性 29 11.1 97 37.2
    自然环境 自然环境 9 3.4 0 0.0
    空间属性 尺度 45 17.2 42 16.1
    距离 21 8.0 51 19.5
    其他 其他 特定语境 5 1.9 25 9.6
    未分类 6 2.3 12 4.6
    总计 582 229.99 491 188.12
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-09-27
  • 刊出日期:  2020-04-25

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