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A factor-income approach to estimating grassland protection subsidy payments to livestock herders in Inner Mongolia, China

机译:估计草地保护补贴支付对畜牧牧民在中国内蒙古畜牧业的因素 - 收入方法

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摘要

This paper contributes to the growing literature on land use policies designed to prevent livestock overgrazing. It offers a straightforward factor-income approach to calculating payments for ecosystem services (PES) to livestock producers who reduce or suspend grazing for the purpose of grassland restoration. Our approach requires only cross-sectional farm-level accounting data and is thus feasible where policies have either not yet been applied or specialized data is sparse, as is common in many developing regions. We apply and validate this approach with empirical analysis of sheep and goat herders in the Ulanqab prefecture in Inner Mongolia, China where herders currently receive payments in exchange for reduced grazing intensity on vulnerable land. However, observed stocking rates are still commonly higher than recommended. Our results suggest payments are currently insufficient to offset the financial loss incurred by herders who reduce their grazing intensity, a finding consistent with previous studies. Using an approach we refer to as the factor-income method, we estimate and validate new levels of recommended payments. This demonstrates how future payments could be tailored to meet the financial needs of individual herding communities using basic farm-level data.
机译:本文有助于旨在防止牲畜过度灌注的土地利用政策的日益增长的文献。它提供了直接的因素收入方法,以计算对生态系统服务(PES)的支付给畜牧生产商,为草地恢复而减少或暂停放牧。我们的方法只需要横断面农场级会计数据,因此在尚未应用的策略或专门的数据稀疏的地方可行,在许多发展中区域中常见。我们申请并验证了这种方法,并验证了中国内蒙古乌兰宫县的绵羊和山羊牧民的实证分析,牧民目前收到换取脆弱土地上放牧强度的付款。然而,观察到的库存速率仍然比建议更高。我们的成绩提出支付目前不足以抵消减少牧民的财务损失,这些牧民减少了放牧强度,这是与以前的研究一致的一致。使用一种方法我们将作为因子收入方法称为因子收入方法,估计和验证新的推荐付款水平。这证明了如何使用基本农场级数据量身定制未来的付款,以满足个体牧民社区的财务需求。

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