Year-end Sale % OFF 
Abstract
In this paper, based on a field survey on typical villages in a Chinese metropolis suburb, we employ a risk matrix and the Borda ranking method to evaluate risks related to transfer of rural housing land for tourism development from the perspectives of different stakeholders. We also make suggestions regarding how to standardize transfers and revitalize utilization of rural housing land use rights. Combining qualitative analysis and quantitative analysis, the risk matrix determines the various risk levels faced by different stakeholders in the circulation of rural housing land for tourism development from two dimensions: risk impact degree and risk occurrence probability. Then, the Borda ranking method can subdivide the risk types within each risk level, thus identifying the most critical risks. Our results indicate that (1) unfair distribution of income from land transfers is the major risk faced by farm households and directly decides their willingness to transfer their housing land; (2) market instability is the prime risk factor faced by social investors, and together with project progress risk, indirectly leads to occurrence of operation risk and severely affects the motivation of social investors to invest in transfer, development and operation of rural housing land for tourism development; (3) disappearance of countryside characteristics is the critical risk factor faced by village collectives, and coordination and management risk is the main impediment that blocks the process of transfer of rural housing land for tourism development; and (4) other risks confronted by stakeholders in land transfer, although not the main ones, still need to be granted great importance and followed up closely. Therefore, it is necessary not only to establish appropriate risk avoidance measures for different critical risk factors faced by different stakeholders of such land transfers, but also to strengthen study of the association between the risks, identify the conduction effect of direct and indirect risks, macro and micro risks, and before action and after action risks, and improve the ability to prevent and mitigate these risks.
Highlights
In China, land is segmented into urban land and rural land, with each governed by significantly different systems of property rights (Cai, 2016; Song et al, 2020)
From the perspective of farm households (Table 4), the risks include, first, the risk of an unfair distribution of income, with a rather severe impact and rather high probability of occurrence, has a high risk rating and is the major risk faced by farm households during the transfer of housing land for tourism development
In order to maximize the benefits for farm households and facilitate the transfer transactions, village collectives have not yet begun to collect any fees related to land transfers
Summary
In China, land is segmented into urban land and rural land, with each governed by significantly different systems of property rights (Cai, 2016; Song et al, 2020). The land-use rights that urban and rural households have over their housing land are not equivalent (Rosato-Stevens, 2008; Wang et al, 2012; Wang et al, 2015). In rural China, each farm household, with an identity as a member of a village collective, is entitled to apply for a plot of housing land with a legal area free of charge to build a residential house and acquire the right to use the housing land. Vol 14, No 2; 2022 land can only be circulated among village collective members and is forbidden to be traded on the open market. Transferrable rural housing land available to all farmers lacks efficient market mechanisms and policy support (Kong et al, 2018). Given its use characteristics and welfare guarantee functions such as one plot of housing land for one farm household, occupation and use for an unlimited long term, restricted usage and restricted circulation, rural housing land has become an essential institutional arrangement to guarantee the livelihood of farmers and security of rural China in the long run (Zhou et al, 2013; Yang et al, 2016; Guo et al, 2019; Yan et al, 2019)
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
