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首页> 外文期刊>Journal of Forest Economics >Role of income diversification in reducing forest reliance: Evidence from 1838 rural households in China
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Role of income diversification in reducing forest reliance: Evidence from 1838 rural households in China

机译：收入多样化在减少森林依赖方面的作用：来自中国1838个农村家庭的证据

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Among a number of households worldwide, forest use and income diversification have been seen as substitute livelihood strategies: farmers with more diverse income sources face a higher opportunity cost in harvesting forests and so tend to rely less on forestry resources. The current study uses rural household survey data captured in the Chinese provinces of Fujian, Shaanxi, Hunan, and Jiangxi. It applies a Heckman regression model and a quantile regression model to determine the effect of income diversification on forest dependence. The three main findings of this study are as follows. (1) The mean income diversification index values in Fujian, Shaanxi, Hunan, and Jiangxi are 1.81, 1.46, 1.63, and 2.00, respectively; this indicates that livelihood activities within the study areas are limited. (2) When the income diversification index increases by 10%, the proportion of forest income to total income within the study areas decreases by 4-8%; this indicates that income diversification can significantly reduce a household's dependence on forest resources, especially among the poorest households. (3) For the top 20% of high-income households, the effect of income diversification on forest dependence is insignificant, but for the bottom 20% of low-income households, income diversification has a major impact in terms of reducing their forest reliance (6-10%). The findings of this study will help inform the design of alternative policies that could alleviate pressure relating to forest-resource protection. (C) 2015 Department of Forest Economics, SLU Umea, Sweden. Published by Elsevier GmbH. All rights reserved.
机译：在世界范围内的许多家庭中，森林利用和收入多样化被视为替代的生计策略：收入来源更加多样化的农民在砍伐森林时面临更高的机会成本，因此倾向于减少对林业资源的依赖。本研究使用在中国福建，陕西，湖南和江西等省获得的农村家庭调查数据。它应用了Heckman回归模型和分位数回归模型来确定收入多样化对森林依赖的影响。这项研究的三个主要发现如下。 （1）福建，陕西，湖南和江西的平均收入多元化指数分别为1.81、1.46、1.63和2.00;这表明研究区域内的民生活动受到限制。 （2）当收入多样化指数增加10％时，研究区内森林收入占总收入的比例下降4-8％;这表明收入多样化可以大大减少家庭对森林资源的依赖，特别是在最贫穷的家庭中。 （3）对于收入最高的20％的家庭，收入多样化对森林依赖的影响微不足道，但是对于收入最低的20％的低收入家庭，收入多样化在降低他们对森林的依赖方面有重大影响（6-10％）。这项研究的结果将有助于设计可减轻与森林资源保护有关的压力的替代政策。 （C）2015年，SLU于默奥，瑞典森林经济学系。由Elsevier GmbH发布。版权所有。

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