Study on the Renewal Satisfaction of Urban Villages in Megacities from the Perspective of Dependence: A Case Study of Wuhan City
Received date: 2024-03-29
Revised date: 2024-06-03
Online published: 2024-08-09
As a unique phenomenon in China's dualistic urban-rural system, the renewal of urban villages, along with the continuous advancement of urbanization, has attracted much attention, because it involves changes in land ownership, compensation for house demolition and relocation, environmental construction, and social security, among other aspects. Resident satisfaction in urban villages is directly related to the issues of policy strengths and weaknesses, resident happiness, and social fairness, and has been widely researched in academia. However, few studies have explored the influence mechanism of satisfaction in urban village renewal from the perspective of reference dependence and have neglected to compare the differences in the levels of different proximity reference points and livelihood capitals. From the perspective of reference dependence, this study analyzes the influence of different proximity reference points on the satisfaction with urban village renewal based on the theory of differential order patterns and tests the moderating effect of livelihood capital on this mechanism. Based on 413 valid samples from two typical urban village renewal areas in Wuhan, this study explored the mechanisms of reference dependence, livelihood capital, and satisfaction with urban village renewal and reconstruction in megacity urban villages using an ordered logistic regression model, a moderating effect model, and other methods. The study found that: 1) reference dependence positively and significantly affected the satisfaction of urban village resettlement residents with renewal and reconstruction; 2) the proximity of the object of reference dependence to one's own relationship was positively correlated with the degree of influence; and 3) livelihood capital positively moderated the relationship between reference dependence and satisfaction with renewal and reconstruction. Policy implications: The design of demolition and relocation compensation policy should strengthen the public participation of villagers, formulate reasonable standards for the identification of legal property rights of housing, and take into account efficiency and fairness by adapting to the local conditions. Efforts should be made to eliminate the influence of the differences in livelihood capital, and improve the cultural quality and skills of resettled villagers through training to reduce the "cultural lag" brought about by the change of identity. Monitoring groups should be set up to oversee the implementation of urban village renewal. This study helps to further elucidate the influence mechanism of satisfaction with urban village renewal and enriches the theoretical application of reference dependence theory in the field of behavioral economics. The findings provide practical experience for reducing social conflicts and public opinion impacts and provides a reference for megacities to actively and steadily implement urban village renewal, thereby improving people's livelihoods, expanding domestic demand, and promoting high-quality urban development.
Qing Yang , Shuzhuo Wang , Yinying Cai . Study on the Renewal Satisfaction of Urban Villages in Megacities from the Perspective of Dependence: A Case Study of Wuhan City[J]. Tropical Geography, 2024 , 44(8) : 1387 -1399 . DOI: 10.13284/j.cnki.rddl.20240187
表1 2019年武汉市2处更新改造社区调研样本的基本特征Table 1 Basic characteristics of the research sample of two renewal and rehabilitation communities in Wuhan in 2019 |
特征 | 类别 | 频数/人 | 比例/% |
---|---|---|---|
性别 | 男 | 252 | 61 |
女 | 161 | 39 | |
年龄/岁 | <35 | 5 | 1.2 |
35~45 | 11 | 2.7 | |
46~55 | 41 | 9.9 | |
56~65 | 165 | 40 | |
>65 | 191 | 46.2 | |
政治面貌 | 中共党员 | 42 | 10.2 |
非党员 | 371 | 89.8 | |
家庭月收入/元 | <3 000 | 50 | 12.1 |
[3 000~6 000) | 144 | 34.9 | |
[6 000~10 000] | 119 | 28.8 | |
>10 000 | 100 | 24.2 | |
受教育年限/a | <6 | 34 | 13.9 |
6~8 | 183 | 43.1 | |
9~11 | 132 | 28.8 | |
12~15 | 56 | 12.3 | |
≥16 | 8 | 1.9 | |
是否分户 | 是 | 162 | 39.23 |
否 | 243 | 60.78 |
表2 拆迁安置村民生计资本评估指标及赋权情况Table 2 Indicators for assessing the livelihood capital of villagers who have been demolished and resettled and their empowerment |
一级指标 | 二级指标 | 三级指标 | 指标含义或赋值 | 权重/% |
---|---|---|---|---|
生 计 资 本 | 人力 资本 | 家庭劳动力人数 | 反映家庭劳动能力 | 23.31 |
家庭人均受教育年限 | 家庭总受教育年限/家庭成员数 | 4.02 | ||
物质 资本 | 人均住房面积 | 家庭住房面积/家庭成员数 | 26.89 | |
基础和配套实施状况 (黄海艳 等,2019) | 周边道路交通、停车位数量、教育、商城超市、医疗、供水、供电基础配套设施状况平均值:非常差=1,比较差=2,一般=3,比较好=4,非常好=5 | 8.15 | ||
金融资本 | 家庭年总收入 | 通过房屋商铺出租、劳务工作或股份分红等取得的收入 | 18.55 | |
社会 资本 | 与街坊邻居之间的关系 | 非常和睦=1,比较和睦=2,一般=3,不太和睦=4,很不和睦=5 | 5.51 | |
家庭成员中是否有人任村干部或 城镇干部 | 有=1,没有=2 | 3.40 | ||
亲戚朋友中是否有人任村干部或 城镇干部 | 有=1,没有=2 | 5.11 | ||
家庭成员中是否有人负责或 参与拆迁改造工作 | 有=1,没有=2 | 1.94 | ||
是否有亲戚朋友负责或参与拆迁改造工作 | 有=1,没有=2 | 3.12 |
表3 变量含义及描述性统计分析Table 3 Meaning of variables and descriptive statistical analysis |
变量名 | 变量说明 | 变量赋值 | MIN | MAX | MEAN | DV |
---|---|---|---|---|---|---|
Y | 更新改造满意度 | 非常不满意—非常满意=1~5 | 1.00 | 5.00 | 2.76 | 1.03 |
RD1 | 相比于自身预期的补偿 | 非常差—非常好=1~5 | 1.00 | 5.00 | 2.64 | 0.75 |
RD2 | 相比于亲戚朋友的补偿 | 1.00 | 5.00 | 2.75 | 0.65 | |
RD3 | 相比于本小区居民的补偿 | 1.00 | 5.00 | 2.57 | 0.74 | |
RD4 | 相比于其他小区居民的补偿 | 1.00 | 5.00 | 2.54 | 0.77 | |
LC | 总生计资本 | 以熵值法赋值 | 0.14 | 0.59 | — | — |
X 1 | 性别 | 男=0;女=1 | 0.00 | 1.00 | 0.390 | 0.238 |
X 2 | 年龄 | 35岁以下= 1;35~45岁= 2;46~55岁= 3;56~65岁= 4;65岁以上=5 | 1.00 | 5.00 | 4.27 | 0.84 |
X 3 | 政治面貌 | 党员=0;非党员=1 | 0.00 | 1.00 | 0.900 | 0.092 |
X 4 | 拆迁实施主体的强势程度 | 非常不强势—非常强势=1~5 | 1.00 | 5.00 | 3.74 | 0.88 |
表4 参照依赖与更新改造满意度相关性分析Table 4 Analysis of the correlation between reference dependence and satisfaction with renewal and reconstruction |
变量 | Y | RD1 | RD2 | RD3 | RD4 | X 1 | X 2 | X 3 | X 4 |
---|---|---|---|---|---|---|---|---|---|
Y | 1 | ||||||||
RD1 | 0.708*** | 1 | |||||||
RD2 | 0.536*** | 0.729*** | 1 | ||||||
RD3 | 0.570*** | 0.715*** | 0.761*** | 1 | |||||
RD4 | 0.559*** | 0.629*** | 0.669*** | 0.700*** | 1 | ||||
X 1 | -0.118** | -0.135*** | -0.145*** | -0.209*** | -0.171*** | 1 | |||
X 2 | 0.052 | -0.002 | -0.032 | -0.014 | -0.014 | 0.041 | 1 | ||
X 3 | -0.041 | -0.044 | -0.057 | -0.054 | -0.087* | 0.170*** | -0.053 | 1 | |
X 4 | -0.476*** | -0.350*** | -0.299*** | -0.338*** | -0.349*** | 0.094* | 0.006 | 0.019 | 1 |
|
表5 模型估计结果Table 5 Model estimation results |
变量 | 模型1 | 模型2 | 模型3 | 模型4 | 模型5 | 模型6 | 模型7 | 模型8 | 模型9 |
---|---|---|---|---|---|---|---|---|---|
RD1 | - | 2.793***(0.042) | - | - | - | 2.942***(0.061) | - | - | - |
RD2 | - | - | 1.684***(0.064) | - | - | - | 1.739***(0.065) | - | - |
RD3 | - | - | - | 1.652***(0.057) | - | - | - | 1.632***(0.076) | - |
RD4 | - | - | - | - | 1.501***(0.055) | - | - | - | 1.581***(0.042) |
LC | - | - | - | - | - | -0.456(0.513) | -0.969(0.598) | -0.959(0.587) | -0.748(0.592) |
LC×RD1 | - | - | - | - | - | 6.052*(0.578) | — | - | - |
LC×RD2 | - | - | - | - | - | - | 7.588**(0.772) | - | - |
LC×RD3 | - | - | - | - | - | - | - | 9.662**(0.699) | - |
LC×RD4 | - | - | - | - | - | - | - | - | 9.277***(0.672) |
X 1 | -0.257*(0.091) | 0.035(0.468) | -0.055(0.083) | 0.023(0.072) | -0.033(0.023) | -0.036(0.071) | -0.065(0.083) | 0.004(0.083) | -0.039(0.082) |
X 2 | 0.045(0.074) | 0.068*(0.041) | 0.085*(0.047) | 0.042(0.073) | 0.099(0.033) | 0.064(0.041) | 0.074(0.047) | 0.067(0.047) | 0.080*(0.047) |
X 3 | -0.045(0.121) | 0.019(0.123) | -0.007(0.133) | -0.047(0.236) | 0.031(0.312) | -0.014(0.114) | -0.019(0.132) | -0.039(0.130) | 0.012(0131) |
X 4 | -0.535***(0.011) | 0.571*** (0.051) | -0.407***(0.047) | -0.678***(0.076) | -0.378***(0.081) | -0.300***(0.041) | -0.393***(0.048) | -0.359***(0.048) | -0.348***(0.048) |
R² | 0.456 | 0.551 | 0.395 | 0.471 | 0.399 | 0.568 | 0.413 | 0.431 | 0.415 |
杨 青:研究框架设计、数据采集、文稿修改;
望舒卓:数学建模,撰写论文初稿;
蔡银莺:提供研究经费和课题支撑,提供指导性意见。
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