Risk perceptions and mining-induced displacement and resettlement: a case study from Anhui Province, China

被引:5
|
作者
Wang, Han [1 ]
Shi, Guoqing [1 ]
Zhang, Ruilain [1 ]
Xu, Junzhuo [1 ]
Shangguan, Ziheng [1 ]
机构
[1] Hohai Univ, Sch Publ Adm, 8 Focheng West Rd, Nanjing 211100, Jiangsu, Peoples R China
关键词
Risk perception; coal mining; China; resettlement (MIDR); project-affected persons; MODEL;
D O I
10.1080/14615517.2019.1684082
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Based on data obtained from a survey conducted in the Liang Huai coal mining area in Anhui Province, the author analyzed the risk perception of a group of affected persons (APs) regarding the reality of relocation and their willingness to move. The purpose was to test the scales created and analyze as a whole the most significant predictors found in the pervious literature. The results show that the individual characteristics of APs and the resettlement compensation model have a greater impact on the risk perception of resettlement. According to the analysis results of the four types of risk perception, the effects of various types of influencing factors on the risk perception of relocation are different. AP's perception of the risk of relocation is actually a complicated process. It is influenced by both subjective and non-subjective factors and by rational and irrational factors and is the result of multiple factors. The perceived risk of affected households is characterized by system complexity, multi-factor correlation, regional differences and particularity.
引用
收藏
页码:366 / 378
页数:13
相关论文
共 50 条
  • [31] Study on the Dynamic Evolution of Mining-Induced Stress and Displacement in the Floor Coal-Rock Induced by Protective Layer Mining
    Liu, Chun
    Man, Zhongyi
    Li, Maolin
    MINERALS, 2024, 14 (11)
  • [32] Heavy Metal Accumulation in Soil-Wheat System of Coal Mining Area and Health Risk Assessment: A Case Study in Northern Anhui Province, China
    Li Q.
    Zhou S.B.
    Li, Q. (liqi821113@163.com), 1600, Technoscience Publications (19): : 957 - 967
  • [33] Mechanism of mining-induced landslides in the karst mountains of Southwestern China: a case study of the Baiyan landslide in Guizhou
    Li, Bin
    Zhao, Chaoying
    Li, Jun
    Chen, Hengyi
    Gao, Yang
    Cui, Fangpeng
    Wan, Jiawei
    LANDSLIDES, 2023, 20 (07) : 1481 - 1495
  • [34] Mechanism of mining-induced landslides in the karst mountains of Southwestern China: a case study of the Baiyan landslide in Guizhou
    Bin Li
    Chaoying Zhao
    Jun Li
    Hengyi Chen
    Yang Gao
    Fangpeng Cui
    Jiawei Wan
    Landslides, 2023, 20 : 1481 - 1495
  • [35] Health risk assessment of fluoride in drinking water from Anhui Province in China
    Hong-jian Gao
    You-qian Jin
    Jun-ling Wei
    Environmental Monitoring and Assessment, 2013, 185 : 3687 - 3695
  • [36] Health risk assessment of fluoride in drinking water from Anhui Province in China
    Gao, Hong-jian
    Jin, You-qian
    Wei, Jun-ling
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2013, 185 (05) : 3687 - 3695
  • [37] Who benefited from the New Rural Cooperative Medical System in China? A case study on Anhui Province
    Lidan Wang
    Anjue Wang
    Gerry FitzGerald
    Lei Si
    Qicheng Jiang
    Dongqing Ye
    BMC Health Services Research, 16
  • [38] The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China
    Zhang, Kerong
    Jiang, Liangyu
    Jin, Yanzhi
    Liu, Wuyi
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (24)
  • [39] Who benefited from the New Rural Cooperative Medical System in China? A case study on Anhui Province
    Wang, Lidan
    Wang, Anjue
    FitzGerald, Gerry
    Si, Lei
    Jiang, Qicheng
    Ye, Dongqing
    BMC HEALTH SERVICES RESEARCH, 2016, 16
  • [40] Hydrogeochemical characteristics and water quality assessment of shallow groundwater: a case study from Linhuan coal-mining district in northern Anhui Province, China
    Qiu, Huili
    Gui, Herong
    Cui, Lin
    Pan, Zhenggao
    Lu, Biao
    WATER SUPPLY, 2019, 19 (05) : 1572 - 1578