Table 5. The associations of common socio-economic parameters to forest loss between 2000–2012.
The four WLS regression models have each a different dependent variable: (a) relative total forest loss, (b) relative loss in protected forest, (c) relative loss in intact forest, and (d) relative loss in protected intact forest. The weight used in the regression for the forest loss measures was the total forest extent in question. Standardised beta coefficient (B) is given for each independent variable included in each of the four models. The independent variables are explained in Table 3. The country specific data are given in S1 Table and S2 Table of the supplementary.
| a) Forest loss | b) Protected forest loss | c) Intact forest loss | d) Protected intact forest loss | |
|---|---|---|---|---|
| Independent variable | B | B | B | B |
| Population density | .028 | –.170 # | –.116 | –.289*** |
| Rural population | –.105 | –.007 | .073 | .010 |
| Population density growth | –0.001 | .019 | –.512*** | –.441*** |
| Population growth | –.022 | –.165* | .021 | .014 |
| GDP per capita | .171 | .450*** | .606*** | .600*** |
| GDP growth | .131 | –.015 | - | - |
| Human Development Index (HDI) | - | - | - | - |
| Corruption Perception Index | - | - | - | - |
| Polity (i.e. level of democracy) | .457*** | –.071 | .190* | .136* |
| Agricultural land area of total land area | .245* | .254** | .086 | .197** |
| Agricultural land area growth | –.032 | –.028 | .016 | .209** |
| WLS regression model | ||||
| n a) | 144 | 140 | 57 | 54 |
| r 2 | .367*** | .314*** | .781*** | .862*** |
Statistical significance:
# p < 0.1
* p < 0.05
** p < 0.01
*** p < 0.001
a) n varies over the models due to i) number of countries included in the model (e.g. not all countries have intact forest) and ii) depending on the socio-economic indicators included in the model, as indicators had some missing values.