What factors influence the willingness of protected area communities to relocate? China's ecological relocation policy for Dashanbao Protected Area

Peng, Wanting; López‐Carr, David; Wu, Chengzhao; Wang, Xin; Longcore, Travis

doi:10.1016/j.scitotenv.2020.138364

Cited by 27 publications

(5 citation statements)

References 64 publications

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“…It can be seen that remarkable results have been achieved so far. However, what follows is the possible dependence of community residents on ecological compensation (Peng et al, 2020). Future management should improve the livelihood assets of community residents, reduce their dependence on ecological compensation, and further improve their awareness of ecological protection.…”

Section: Mutual Relations Between Satisfaction Ecological Environment...mentioning

confidence: 99%

Governance of National Parks influenced by Local Community Participation: China's Potatso National Park

Jia

Zhong

et al. 2022

Preprint

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As a governance strategy, community participation is to implement the coordinated development of communities and protected areas. Therefore, the present study explored the community’s participation in the construction of Potatso National Park by means of a mixed-method approach that is derived from Ostrom’s (2007) socio-ecological systems and IUCN framework, calibrated to local residents’ self-assessments about the outcomes of community engagement on national park governance. From the six dimensions of ecological environment, livelihood assets, high-quality ecological products, management efficiency, social order and satisfaction that characterize the governance outcomes of protected areas, residents' attitudes and views on community participation in national park governance were analyzed. The results show that ecological environment has a positive impact on high-quality ecological products, on the contrary, livelihood assets are not significant; in addition, management efficiency has a significant positive impact on the ecological environment, livelihood assets, high-quality ecological products and social order. We concluded that community participation has a certain direct and indirect effect on the governance outcomes of Potatso National Park. It is suggested to continue to improve the community participation mechanism of residents from the two aspects of residents' subjective psychology and ecological compensation mechanism improvement. The transformation from the tourism development model to the national park is still in the process, and there existing quite a few problems. In the future, it is necessary to further realize the functions of national parks through institutional innovation, community participation capacity building, and the introduction of community institution participation.

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Section: Mutual Relations Between Satisfaction Ecological Environment...mentioning

confidence: 99%

Governance of National Parks influenced by Local Community Participation: China's Potatso National Park

Jia

Zhong

et al. 2022

Preprint

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“…Logistic regression is the most frequently used regression model for the analysis of discrete outcome variables with two or more possible values [52]. To examine the influence of many independent variables on a nominal dependent variable, logistic regression is usually divided into binary, disordered multinomial, and ordered multinomial regression [25] and has been widely used in farmers'/households' relocation willingness [25,31,[38][39][40] and other relative human behaviors of decision making. Generally speaking, multicollinearity [53] among independent variables and Events Per Variable (EPV) [54] are two key factors in the performance of logistic regression and are easily overlooked in practical application.…”

Section: Model Selectionmentioning

confidence: 99%

“…Zhang et al [25] explored the factors influencing rural households' choice of centralized residence between pure and nonpure farming areas in terms of their individual characteristics, family economy, policy perception, housing conditions, and social environment. Other research on farmers' prefer-ence for centralized residence usually do not exist alone but are symbiotic with specific contexts of related policies and planning practices, such as rural community remediation [38], geological disasters, and ecological relocation [30,[39][40][41], "maintaining a balance between the increase and the decrease" [42], the act of moving away from rural homesteads [43], the relationship between poverty and relocation [31,44], rural settlements [3,10], and land consolidation [33,45]. For example, Sun et al [45] investigated the factors influencing farmers' decision-making behavior in rural construction land transformation based on various aspects containing personal characteristics, family characteristics, construction land conditions, compensation for construction land consolidation, and expectation of transferring to cities.…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing Rural Households’ Decision-Making Behavior on Residential Relocation: Willingness and Destination

Wang

Lyu

2021

Land

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All the traditional models of centralized residence based on “building a new socialist countryside” and “maintaining a balance between the increase and the decrease” are top-down in nature and require farmers to make responses and readjustment to all possible policies and changes. Therefore, it’s important to understand farmers’ preferences and take their willingness and needs into account when designing and implementing the relative planning programs of centralized residence. In this paper, with the numerical value 10 as the criterion of Events Per Variable (EPV) and Variance Inflation Factor (VIF), four different types of binary logistic regression were respectively applied to analyze factors that may influence farmer households’ relocation willingness and relocation destination in the following five aspects: Individual characteristics, household characteristics, housing characteristics, farmland characteristics, and implementation environment of centralized residence. As indicated in the results, people would show more willingness to relocate when they were younger, had higher household income, lived in an older building, possessed a bigger building area, owned farmland with higher quality, or lived in an environment with a higher infrastructure match rate. In addition, household income was a common factor influencing households’ choice between nearby relocation sites (NRS) and urban areas as their relocation destinations. The building area and occupancy rate negatively affected households’ choice of NRS, while building age negatively affected that of urban areas. Based on these influencing factors, some policy suggestions are proposed in this paper in terms of job creation, implementation of zoning and classification strategies, improvement of the quality of land transfer services, and reconstruction of the rural landscapes.

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“…For that, the logistic model has been considered as one of the most suitable methods. For example, logistic regression has been used to study the willingness to buy houses [56], the willingness of farmers' homesteads to transfer property [57], and other related studies [58,59]. Therefore, we chose the logistic model as the main statistical model.…”

Section: Model Selectionmentioning

confidence: 99%

Assessing the Viability of Vacant Farmhouse Market in China: A Case Study in Sichuan

Sun

et al. 2020

Land

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Massive and rapid urbanization has led to population loss in rural areas, particularly in emerging and developing countries like China. As a result, houses in rural areas become vacant, and the house prices in cities, at the same time, skyrocket. While the research on the vacant farmhouses market (VFM) is a pressing issue for sustainable urbanization and has profound policy implications in China, few empirical studies have been conducted on analyzing the willingness of house owners and urban residents to participate in the VFM and any influencing factors—as there is no such operating market in China. To bridge the research gap, we first conducted a questionnaire-based survey on rural households and urban residents with a random sampling method in six cities in Sichuan Province, China. A total of 571 valid samples, including 284 rural households and 287 urban residents, were obtained. Based on these survey data, we then used logistic regression to estimate the influencing factors on the willingness of house owners and urban residents in renting in/out or selling/buying vacant farmhouses. The results showed that: (1) more than 60% of rural house owners and urban residents are willing to participate in a potential VFM; (2) the main influencing factors of house owners’ willingness to rent out or sell their houses include the sociodemographic characteristics of farmers (e.g., age, household income) and characteristics of the vacant houses (e.g., distance to the main roads, the status of vacant houses), while the major factors that affect the willingness of urban residents to rent in or purchase vacant rural houses are the sociodemographic characteristics of urban residents themselves (e.g., occupation), the status of the potential houses, and the perceived housing market; (3) most farmers want a regulated platform for the vacant farmhouses; urban residents pay more attention to the good natural environment in rural areas and the infrastructure and public service levels of vacant farmhouses in rural areas. This study thus showed the necessity, feasibility, and potential challenges and barriers involved in establishing a VFM in China.

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What factors influence the willingness of protected area communities to relocate? China's ecological relocation policy for Dashanbao Protected Area

Cited by 27 publications

References 64 publications

Governance of National Parks influenced by Local Community Participation: China's Potatso National Park

Governance of National Parks influenced by Local Community Participation: China's Potatso National Park

Factors Influencing Rural Households’ Decision-Making Behavior on Residential Relocation: Willingness and Destination

Assessing the Viability of Vacant Farmhouse Market in China: A Case Study in Sichuan

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