Примеры использования Forest income на Английском языке и их переводы на Русский язык
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The forest income went into the budget to the sum of KZ 17723.9 th.
Average contribution of forest income to total income. .
Forest income as a percentage of all income. .
Fuelwood thus contributed to 42% of total forest income recorded for the country Table 13.
Forest income contributes to 6% of total income also but varies between regions.
Over 1200 householders were surveyed to determine forest income and natural resource value added.
All of these aspects of forest income reduce the vulnerability of households and increase livelihood resilience.
According to the study,fuelwood comprises 17 percent of all forest income and is collected mainly for subsistence.
In southern Ethiopia forest income kept a fifth of the population above the poverty line, reducing income inequality some 15 percent.104.
On the other hand, since all cash-income-earning opportunities are limited,the contribution of forest income is not negligible.
In the Armenian sample, forest income comprises in total 4% of household incomes Figure 4.
The households also engage in the collection of forest products(16% of total value), andhave the highest national share of forest income across the regional sample.
Generally fuelwood constituted 12% of total forest income recorded, but is likely underestimated due to illegality of harvest.
Furthermore, the illegality of fishing and logging particularly in RFE, meant that the data collected onthese products is underestimated, but fish make up 4% of total value of forest income in Russia.
In rural households, a much greater proportion of forest income goes to support direct consumption rather than cash income. .
In the RFE, forest income also contributes only 6% of total RFE income, which is surprising given the abundance of forest cover surrounding the villages.
According to a FLEG II analysis,fuelwood represents 17 percent of all forest income of local rural households and is collected mainly for subsistence.
The analysis has shown that forest income makes up a larger share of total household income if the household is poorer- that is, poorer households are more dependent on forest income. .
Turning to RFI, the trend among asset groups in the Belarusian sample where RFI increases for the middle asset group,is attributed to the poor group being unable to engage in forest income(poor health and advanced age) and the rich group who collect only for own consumption, leaving the middle asset group to collect forest products to cash in on products Lazareva, 2014.
Forest income contributes 14% of total income and the second highest in terms of share of total income in the regional sample, and reflects the high value and frequency of walnut collection.
In the Armenian sample, fodder grass(12% of total forest income) is collected from the forest to stock up over the year as many of the households are engaged in cattle breeding.
Forest income comprises 5% of total income and includes mainly the collection of blueberries and wild strawberries(by women and children) and mushrooms(by men)- surprisingly small considering the study site was chosen due to it being a major supplier of forest product markets to Western Ukraine Soloviy et al, 2014.
Forest income(cash and non-cash) averages 44 per cent of total income, and it is clear that for each of the wealth and gender categories the value of the non-cash contribution from forests to household income is much higher than the value of cash income from forests.
In NWR the collection and sale of cranberries is common therefore forest incomes are higher(15% of NWR total income) here compared to Altai(3%),where forest income is low due to the poor productivity of forests and general low forest cover in the region.
Similarly average regional cash forest income per aeu is also highest in the richest quintiles, further confirming trends in other studies(e.g. Vedeld et al, 2004), and this was found in every country sample.
It is possible for a country with low forest cover but with high per capita income to import forest products from elsewhere.
Increase income from non-wood forest products.
Cameroon is studying how to better utilize forest sector income to fund sustainable forest management.
Interestingly, higher forest cash income per adult equivalent is significantly correlated with higher wage per adult equivalent.