An analysis of determinants of natural resources dependence in the communities surrounding Qinling Giant Panda Protection Area
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摘要: 分析保护区周边社区对自然资源依赖度的影响因素,对降低社区对生物多样性保护工作的干扰有重要意义。利用2012年4月和8月2次调研数据,建立Tobit模型、Logit模型和最小二乘法(OLS)模型估计了社区居民对自然资源收入性依赖度,运用Logit模型对社区居民的非收入性依赖度进行了估计。结果表明:非农就业是商业性非木质森林资源采集的重要替代生计策略;资源越丰裕,农户对资源的收入性依赖就越高;海拔高度对农户收入性资源依赖有正向作用;家庭经济条件对农户的自然资源依赖影响并不明显,但家庭债务承担对资源依赖有正向作用。农户非收入性资源依赖模型估计结果进一步验证了收入性资源依赖模型的稳定性和结论。表4参17Abstract: The analysis of determinants of natural resources dependence in the communities surrounding the protection area is significant to reduce the local communities interference on biodiversity conservation. Data were collected in April and August of 2012. Tobit model, Logit model, and OLS model were established to estimate the communities residents income dependence on the natural resources; and Logit model was used to estimate the communities residents non-income dependence. The results indicated that non-agricultural employment was an important livelihood substitute strategy for the collection of commercial non-wood forest resources. When there were more abundant resources, the farmer households would have higher income dependence on resources. The altitude had a positive effect on the farmer households income dependence on resources; households economic conditions had no significant effect, but households debt had a positive effect. The estimation of farmer households non-income resources dependence model further testified the stability and the conclusions of income resource dependence model. [Ch, 4 tab. 17 ref.]
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Key words:
- forestry economics /
- farmer households /
- resources dependence /
- giant panda protection area /
- Qinling
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链接本文:
https://zlxb.zafu.edu.cn/article/doi/10.11833/j.issn.2095-0756.2016.01.018
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