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Using plot level data, we estimate a bivariate probit model to explain land clearing and the siting of protected areas in North Thailand in 1986. The model suggests that protected areas (national parks and wildlife sanctuaries together) did not reduce the likelihood of forest clearing; however,...
Persistent link: https://www.econbiz.de/10005038490
Using plot-level data, the authors estimate a bi-variate probit model to explain land clearing, and the siting of protected areas in North Thailand in 1986. Their model suggests that protected areas (national parks, together with wildlife sanctuaries) did not reduce the likelihood of forest...
Persistent link: https://www.econbiz.de/10005115972
Establishing protected areas (national parks together with wildlife sanctuaries) in North Thailand did not reduce the likelihood of forest clearing, but wildlife sanctuaries may have reduced the probability of deforestation. Where new roads are located affects how much of a threat they are to...
Persistent link: https://www.econbiz.de/10010524050
Persistent link: https://www.econbiz.de/10001579105
Persistent link: https://www.econbiz.de/10001600885
Using plot-level data, the authors estimate a bi-variate probit model to explain land clearing, and the siting of protected areas in North Thailand in 1986. Their model suggests that protected areas (national parks, together with wildlife sanctuaries) did not reduce the likelihood of forest...
Persistent link: https://www.econbiz.de/10012572955
Persistent link: https://www.econbiz.de/10006114926