Nexus(标准)
地理
供应
二元分析
生态系统服务
生态系统
感知
环境资源管理
结构方程建模
服务(商务)
社会经济学
心理学
业务
生态学
营销
经济
计算机科学
生物
嵌入式系统
电信
机器学习
神经科学
作者
Ying Wang,Jialiang Sun,Chongchong Liu,Linghua Liu
标识
DOI:10.1016/j.apgeog.2024.103215
摘要
Understanding stakeholders' perception about local ecosystem services (ES) and its nexus with their objective and subjective well-being is essential for designing efficient ecosystem management and policy interventions to enhance local residents' overall welfare. Despite the widespread agreement upon the linkages between ES and human well-being (HWB), less studies have empirically tested their relationship from a disaggregated perspective to reveal the explicit contribution of each type of ES and the constituent of HWB, and the spatial heterogeneity in the ES-HWB relationship at the micro level remains insufficiently explored. Furthermore, the impact and mechanisms through which perceived ES influence the subjective well-being of rural residents, mediated by their objective well-being, remain inadequately elucidated. To address the knowledge gaps, we conduct an empirical study using 522 household samples collected in a mountainous area in China and employing bivariate spatial autocorrelation analysis and a partial least squares-structural equation model. The results show that: (1) Geographic location has a positive impact on local residents' perception of provisioning (β = 0.546, p < 0.01) and regulating (β = 0.383, p < 0.01) services. However, their dependency on natural resources has a negative impact (β = −0.460, p < 0.01) on their perception of cultural services. (2) Perceived provisioning service has both positive direct (β = 0.111, p < 0.01) and indirect effects on the subjective well-being of rural residents. On the other hand, regulating service and cultural service primarily exert indirect effects on residents' subjective well-being, mediated by security (β = 0.020, p < 0.05) and health (β = 0.018, p < 0.05), respectively. (3) Both respondents' personal attributes (β = 0.124, p < 0.01) and their evaluation on social governance in their village (β = 0.245, p < 0.01) have significant positive effects on their subjective well-being. The findings can guide more effective policy-making in rural development and environmental management.
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