Table 3. The socio-economic indicators used in the regression analysis.
The indicators were used as independent variables in the assessment of the forest loss drivers with Weighted Least-Squares (WLS) regression analysis.
| Variable | Data type | Time period | Reference |
|---|---|---|---|
| Population density | per square km | 2010 | UN [34] |
| Population density growth | % | 2000–2010 | UN [34] |
| GDP growth | % | 2000–2010 | World Bank [35] |
| GDP per capita (PPP) | International USD | 2010 | World Bank [35] |
| Rural population of total population | % | 2010 | World Bank [35] |
| Population growth | % | 2000–2010 | World Bank [35] |
| Corruption perception index a | 0.. 10 | 2010 | Transparency International [36] |
| Polity index b | -10.. 10 | 2010 | Marshall and Gurr [37] |
| Human Development Index (HDI) c | 0.. 1 | 2012 | UNDP [38] |
| Agriculture of total land area | % | 2010 | World Bank [35] |
| Agricultural land area growth | % | 2000–2010 | World Bank [35] |
a Low corruption perception index corresponds with high corruption and vice versa
b Low polity index corresponds with low democracy and vice versa
c High HDI corresponds with high human development and vice versa