Rural Housing Vacancy in Metropolitan Suburbs and Its Influencing Factors: A Case Study of Nanjing, China

被引:5
|
作者
Zhao, Liyuan [1 ]
Wang, Xingping [1 ]
机构
[1] Southeast Univ, Sch Architecture, Nanjing 210096, Peoples R China
关键词
rural housing vacancy; permanent vacancy; temporary vacancy; metropolitan suburbs; rural transformation; Nanjing; DRIVING FORCES; LAND-USE; URBAN; ABANDONMENT; POPULATION; LOCATION; VILLAGES; TOURISM; AREA; SUSTAINABILITY;
D O I
10.3390/su13073783
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the rapid development of industrialization and urbanization, rural housing vacancy (RHV) has become an increasingly universal phenomenon in China, causing many economic and social problems. Despite many studies on RHV, relatively little attention has been paid to distinguishing the types of vacant rural houses as well as RHV in metropolitan suburbs. Drawing upon survey data from 23 sampled villages of the Nanjing metropolitan area in China, this paper differentiates RHV into permanent vacancy and temporary vacancy and analyzes the influences of location, government interventions, and the villages' characteristics on the two types of RHV. The empirical results show that villages located in inner suburbs and with medium travel time to city centers have higher permanent RHV rates, while those located further away from city centers usually have higher temporary RHV rates. The local government's restrictive plans and housing construction restrictions do not increase the permanent RHV rate nor temporary RHV rate, whereas supportive plans and financial investment reduce the permanent RHV rate and increase the temporary RHV rate. Permanent RHV rates are relatively lower in villages that are less reliant on agricultural development. Those villages usually have higher sublet rates of farmland, a lower proportion of agriculture laborers, and better development of manufacturing or tourism. However, temporary RHV rates do not differ significantly between agricultural villages and non-agricultural villages. The paper finds an unusual "middle bump" phenomenon of permanent RHV rate and explains it with the law of commuting circles. Some policy implications are put forward to promote the transformation and sustainable development of rural areas in China's metropolitan suburbs.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Distribution Characteristics and Influencing Factors of Rural Settlements in Metropolitan Fringe Area: A Case Study of Nanjing, China
    Zhang, Rongtian
    Zhang, Xiaolin
    LAND, 2022, 11 (11)
  • [2] Land-Use Transition of Tourist Villages in the Metropolitan Suburbs and Its Driving Forces: A Case Study of She Village in Nanjing City, China
    Chai, Yibei
    Qiao, Weifeng
    Hu, Yi
    He, Tianqi
    Jia, Kaiyang
    Feng, Ting
    Wang, Yahua
    LAND, 2021, 10 (02) : 1 - 18
  • [3] Analysis of the Influencing Factors of Housing Price in Nanjing
    Qin J.
    Sheng Y.
    Wang Y.
    He Y.
    Journal of Geo-Information Science, 2021, 23 (05) : 882 - 890
  • [4] Neglected idle rural residential land (IRRL) in metropolitan suburbs: Spatial differentiation and influencing factors
    Tao, Zhou
    Guanghui, Jiang
    Guangyong, Li
    Dingyang, Zhou
    Yanbo, Qu
    JOURNAL OF RURAL STUDIES, 2020, 78 : 163 - 175
  • [5] Spatial distribution of rural housing abandonment and influencing factors at the village level: a case study of the Loess Plateau of China
    Xia, Kunkun
    Liu, Liwen
    Wang, Wenchang
    GEOJOURNAL, 2021, 86 (05) : 2321 - 2334
  • [6] Spatial distribution of rural housing abandonment and influencing factors at the village level: a case study of the Loess Plateau of China
    Kunkun Xia
    Liwen Liu
    Wenchang Wang
    GeoJournal, 2021, 86 : 2321 - 2334
  • [7] Characteristics of black carbon aerosol and influencing factors in northern suburbs of Nanjing
    Xiao S.-H.
    Yu X.-N.
    Zhu B.
    He J.-Q.
    Yu, Xing-Na (xnyu@nuist.edu.cn), 1600, Science Press (37): : 3280 - 3289
  • [8] The Resource Potential and Optimization of Rural Housing Land under Utility Structure Evaluation in Metropolitan Suburbs Villages of China
    Zhao, Qinglei
    Jiang, Guanghui
    Ma, Wenqiu
    Yang, Yuting
    Zhou, Tao
    LAND, 2023, 12 (03)
  • [9] Application of machine learning to analyze ozone sensitivity to influencing factors: A case study in Nanjing, China
    Zhang, Chenwu
    Xie, Yumin
    Shao, Min
    Wang, Qin ' geng
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 929
  • [10] Spatial patterns of residents' daily activity space and its influencing factors based on the CatBoost model: A case study of Nanjing, China
    Zheng, Jiemin
    Hu, Mingxing
    Wang, Chenghui
    Wang, Shuting
    Han, Bing
    Wang, Hui
    FRONTIERS OF ARCHITECTURAL RESEARCH, 2022, 11 (06) : 1193 - 1204