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Rural development potential of Community Forestry in Nepal B. B. K. Chhetri, J.F. Lund and Ø. J. Nielsen  March 2010
Introduction : Nepal, forests and poverty ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Source: CBS ( 2005)
Community Forestry in Nepal ,[object Object],[object Object],[object Object],[object Object],[object Object]
Rationale .. ,[object Object],[object Object]
Research questions ,[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Study area:  Gorkha District
Data ,[object Object],[object Object]
Two models:  one for income and the other for expenditure General form of income model is The  transformed  model: Econometric models: Where, the partial effect of different independent variables is estimated by
Result:  Average annual income and expenditure ,[object Object],[object Object],[object Object],[object Object],[object Object]
Result : Income sources of CFUGs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Result:  overall expenditure ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Result:   Income model output * p < 0.1 ** p < 0.05 *** p < 0.01 Dependent variable: CFUGs income (Rs) -2.43 -26.65** -2.43 -26.65** -2.43 -26.65** Distance 1.31 0.55 0.05 0.09 0.27 0.52 Silviculture 5.33 84.47*** 5.33 84.47*** 5.33 84.47*** Group 1.27 211.26 1.06 69.64 1.10 74.52 Area_nsp 2.36 141.21** 2.44 115.00** 1.74 75.93* Area_sp -0.17 -19.74 1.89 381.34* 1.83 706.04* Age z-value Coef. z-value Coef. z-value Coef. Model III: Area_25 Model II: Area_50 Model I: Area_75 Independent variables
Result:  investment model output * p < 0.1   ** p < 0.05 *** p < 0.01 Dependent variable: Investment of CF income in community development relative to total investment -2.20 -0.037** -2.20 -0.037** -2.20 -0.037** Infrastructure -0.25 -0.008 -0.25 -0.008 -0.25 -0.008 Eth_het 1.26 0.003 1.26 0.003 1.26 0.003 Edu_ch -2.02 -0.042** -2.02 -0.042** -2.02 -0.042** Ward -0.85 -0.014 -0.64 -0.010 1.81 0.026* Audit 1.82 0.007* 1.54 0.006 -1.60 -0.006 Ec_meet -2.48 -0.059** -2.48 -0.059** -2.48 -0.059** Woman_p -0.32 -0.004 -0.03 0.000 3.15 0.035*** Dalit_r -2.51 -0.027** -2.83 -0.029*** -6.54 -0.051*** Monitoring  (,0000) 8.29 0.062*** 8.26 0.061*** 7.91 0.058*** Income (,0000) 1.20 0.003 1.12 0.002 -0.13 0.000 Age z-value Coef. z-value Coef. z-value Coef. Model III:Income_25 Model II:Income_50 Model I:Income_75 Independent variables
Conclusion ,[object Object],[object Object],[object Object],[object Object]
Thank You!!!!!

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Rural development potential of community forestry in Nepal

  • 1. Rural development potential of Community Forestry in Nepal B. B. K. Chhetri, J.F. Lund and Ø. J. Nielsen March 2010
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  • 8. Two models: one for income and the other for expenditure General form of income model is The transformed model: Econometric models: Where, the partial effect of different independent variables is estimated by
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  • 12. Result: Income model output * p < 0.1 ** p < 0.05 *** p < 0.01 Dependent variable: CFUGs income (Rs) -2.43 -26.65** -2.43 -26.65** -2.43 -26.65** Distance 1.31 0.55 0.05 0.09 0.27 0.52 Silviculture 5.33 84.47*** 5.33 84.47*** 5.33 84.47*** Group 1.27 211.26 1.06 69.64 1.10 74.52 Area_nsp 2.36 141.21** 2.44 115.00** 1.74 75.93* Area_sp -0.17 -19.74 1.89 381.34* 1.83 706.04* Age z-value Coef. z-value Coef. z-value Coef. Model III: Area_25 Model II: Area_50 Model I: Area_75 Independent variables
  • 13. Result: investment model output * p < 0.1 ** p < 0.05 *** p < 0.01 Dependent variable: Investment of CF income in community development relative to total investment -2.20 -0.037** -2.20 -0.037** -2.20 -0.037** Infrastructure -0.25 -0.008 -0.25 -0.008 -0.25 -0.008 Eth_het 1.26 0.003 1.26 0.003 1.26 0.003 Edu_ch -2.02 -0.042** -2.02 -0.042** -2.02 -0.042** Ward -0.85 -0.014 -0.64 -0.010 1.81 0.026* Audit 1.82 0.007* 1.54 0.006 -1.60 -0.006 Ec_meet -2.48 -0.059** -2.48 -0.059** -2.48 -0.059** Woman_p -0.32 -0.004 -0.03 0.000 3.15 0.035*** Dalit_r -2.51 -0.027** -2.83 -0.029*** -6.54 -0.051*** Monitoring (,0000) 8.29 0.062*** 8.26 0.061*** 7.91 0.058*** Income (,0000) 1.20 0.003 1.12 0.002 -0.13 0.000 Age z-value Coef. z-value Coef. z-value Coef. Model III:Income_25 Model II:Income_50 Model I:Income_75 Independent variables
  • 14.