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Factors affecting forest area changes in Cambodia: An econometric approach
From the Abstract : Clarifying factors affecting forest area changes is critical to implementing REDD+ scheme properly. We analyzed some socio-economic factors and clarified their relationships with deforestation in Cambodia for the period 2002 to 2010. A panel data analysis was conducted for 18 provinces.ime effects, cross-sectional dependence, serial correlation in idiosyncratic errors, an d heteroskedasticity were tested, and robust variance matrix estimations were obtained to solve the problems of heteroskedasticity and serial correlation. The model estimation results showed that population, gross agricultural production and large-scale plantation development have negative impacts on forest area changes. On the other hand, the impacts of rice cultivation, gross industrial production, household income and house floor area by household were found not to be significant.
Additional Information
| Field | Value |
|---|---|
| Last updated | June 18, 2015 |
| Created | June 18, 2015 |
| Format | |
| License | CC-BY-4.0 |
| Name | Factors affecting forest area changes in Cambodia: An econometric approach |
| Description |
From the Abstract : Clarifying factors affecting forest area changes is critical to implementing REDD+ scheme properly. We analyzed some socio-economic factors and clarified their relationships with deforestation in Cambodia for the period 2002 to 2010. A panel data analysis was conducted for 18 provinces.ime effects, cross-sectional dependence, serial correlation in idiosyncratic errors, an d heteroskedasticity were tested, and robust variance matrix estimations were obtained to solve the problems of heteroskedasticity and serial correlation. The model estimation results showed that population, gross agricultural production and large-scale plantation development have negative impacts on forest area changes. On the other hand, the impacts of rice cultivation, gross industrial production, household income and house floor area by household were found not to be significant. |
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