Seite - (000163) - in Evaluating Climate Change Action for Sustainable Development

Table 8.8 Random effects reduced form interval regression for intensity of cultivation and log (village area) in forest reserve villages,ChiangMai, Thailand1986–1996 Randomeffects interval regression instrumental variables (intensity of cultivation) Instrumental variables randomeffects (agricultural area) (1) (2) NPRdummy¼1 71.091 0.651 (2.15)* ( 0.35) Year 0.269 0.022 ( 1.26) (1.76)þ (NPR¼1)*year 0.485 0.018 ( 1.43) (0.86) Log (Village Population) 0.328 0.427 (0.2) (5.33)** (NPR¼1)*Log (VillagePopn) 0.083 0.021 (0.04) (0.21) Log(Travel time tomarket) 2.868 0.158 (2.91)** (4.04)** (NPR¼1)*Log (Tr time tomkt.) 3.212 0.126 (2.52)* (2.59)** Short runwater dummy 5.716 0.055 (3.87)** ( 1.12) (NPR¼1)*SR water dummy 4.11 0.005 (1.92)þ (0.08) LRwater dummy 3.06 0.041 ( 1.37) ( 0.62) (NPR¼1)*LR water dummy 3.343 0.145 (1.1) (1.52) Proportionof adults 7.157 0.056 ( 1.16) ( 0.31) (NPR¼1) *Propnof adults 28.112 0.227 (3.25)** (0.83) Acidic soil dummy 7.973 0.28 (3.82)** (4.13)** (NPR¼1) *Acidic soil dummy 0.85 0.314 ( 0.3) (3.22)** BAACcredit use dummy 4.93 1.11 (1.09) (2.41)* (NPR¼1) *BAACcredit dummy 1.904 0.83 ( 0.28) ( 1.32) Constant 104.437 4.339 (4.88)** (3.94)** Observations 2204 1989 Number of ID 628 622 Source:Data providedbyThammasatUniversity, Thailand NPR¼ 1 if villages have no secure property rights;¼ 0 otherwise. ** significant at 1% level; *significant at 5% level;þ significant at 10% level 8 UsingMixedMethods toAssessTrade-OffsBetweenAgriculturalDecisions. . . 147