重点国有林区职工家庭森林依赖测度方法对比分析研.

⑴ Background——There is a complex relationship between forest dependence and residents' livelihoods. The relative forest income method is widely used to measure the degree of forest dependence of micro-subjects in the academic circles, and there are some limitations in discussing the diversity and complexity of forest dependence. ⑵ Methods——The research objects of this paper are the employees' families in the key state-owned forest regions. The relative forest income method and the forest dependence index method were used to measure the degree of forest dependence of the employees' families respectively, and the results were compared and analyzed. ⑶ Results——The degrees of forest dependence of employees' families in the key state-owned forest regions measured by using the relative forest income method and the forest dependence index method are significantly different. The degree of forest dependence is divided into four categories: “less dependent”, “medium dependent”, “highly dependent” and “very dependent”. The results show that the proportion of employees' families with “very dependent” measured by using the RFI method is the highest(47.41%),while the proportion of employees' families with “highly dependent” measured by using the FDI method is the highest(78.93%).The employees' families with “very dependent” measured by using the two methods are different. The proportion of wage income in the employees' families with “very dependent” measured by using the relative forest income method is very high, while the forestry income in the employees' families with “very dependent” measured by using the forest dependence index method is diversified. In terms of family consumptions and living conditions, the higher the forest dependence index, the lower the proportion of living expenses and the worse living conditions, while the higher the relative forest income, the higher the proportion of living expenses and the better living conditions. It can be seen that the relative forest income method overestimates the degree of forest dependence of the employees' families to some extent, while the forest dependency index method can better describe the situation of the employees' families which depend on forests for their livelihoods. ⑷ Conclusions and Discussions——First, the degrees of forest dependence of the employees' families in the key state-owned forest regions measured by using the relative forest income method and the forest dependence index method are 0.56 and 0.71 respectively, indicating that the degree of forest dependence of the employees' families is higher. Second, in the two measuring methods, the per capita income and per capita consumption of the employees' families generally decline as the degree of forest dependence increases. Third, in the two measuring methods, the specific income, consumption structures and living conditions of the employees' families all show different trends with the increase of the degree of forest dependence. Fourth, the relative forest income method overestimates the degree of forest dependence of the employees' families to some extent, while the results measured by using the forest dependence index method are more consistent with the actual situations of the employees' families in the key state-owned forest regions, because it can answer the questions of how much, how and why the employees' families depend on forests. Therefore, the forest dependence index can become an effective basis for identifying vulnerable groups in policy making, so that the policy priorities are tilted towards the employees' families with the highest degree of forest dependence and the lowest living standards, and the funds of natural forest resources protection project have a greater effect on people's livelihoods. [ABSTRACT FROM AUTHOR]