385
Views
0
CrossRef citations to date
0
Altmetric
Research Article

The role of direct capital cash transfers towards poverty and extreme poverty alleviation - an omega risk process

ORCID Icon & ORCID Icon
Received 29 Nov 2023, Accepted 18 Feb 2024, Published online: 28 Feb 2024

Figures & data

Figure 1. (a) Consumption and savings (b) Trajectory of the stochastic process Xt.

Figure 1. (a) Consumption and savings (b) Trajectory of the stochastic process Xt.

Figure 2. (a) Trapping probability ψP(x) when ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, B = 2, λ=1 and x=1 for cT=0.1,1,10,100 (b) Trapping probability ψP(x) when ZiBeta(0.8,1), a = 0.1, b=4, cS=0.4, cT=0.25, λ=1 and x=1 for B = 1, 2, 3, 4.

Figure 2. (a) Trapping probability ψP(x) when Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, B = 2, λ=1 and x∗=1 for cT=0.1,1,10,100 (b) Trapping probability ψP(x) when Zi∼Beta(0.8,1), a = 0.1, b=4, cS=0.4, cT=0.25, λ=1 and x∗=1 for B = 1, 2, 3, 4.

Figure 3. (a) Probability of extreme poverty ψEP(x) when ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, B = 2, λ=1, x=1 and ω1(x)=0.02 for cT=0.25,0.5,0.75,1 (b) Probability of extreme poverty ψEP(x) when ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, λ=1, x=1 and ω1(x)=0.02 for Bx+ and B=2,3,4.

Figure 3. (a) Probability of extreme poverty ψEP(x) when Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, B = 2, λ=1, x∗=1 and ω1(x)=0.02 for cT=0.25,0.5,0.75,1 (b) Probability of extreme poverty ψEP(x) when Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, λ=1, x∗=1 and ω1(x)=0.02 for B→x∗+ and B=2,3,4.

Figure 4. Probability of extreme poverty ψEP(x) when ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, B = 2, λ=1, x=1 and ω1(x)=ωc for ωc=0.02,0.05,0.09.

Figure 4. Probability of extreme poverty ψEP(x) when Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, B = 2, λ=1, x∗=1 and ω1(x)=ωc for ωc=0.02,0.05,0.09.

Figure 5. (a) Probability of extreme poverty ψEP(x) when ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, B = 2, λ=1, x=1 and ω2(x)=0.02x for cT=0.25,0.5,0.75,1 (b) Probability of extreme poverty ψEP(x) when ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, λ=1, x=1 and ω2(x)=0.02x for Bx+ and B=2,3,4.

Figure 5. (a) Probability of extreme poverty ψEP(x) when Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, B = 2, λ=1, x∗=1 and ω2(x)=0.02x for cT=0.25,0.5,0.75,1 (b) Probability of extreme poverty ψEP(x) when Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, λ=1, x∗=1 and ω2(x)=0.02x for B→x∗+ and B=2,3,4.

Figure 6. Probability of extreme poverty ψEP(x) when ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, B = 2, λ=1, x=1 and ω2(x)=βx for β=0.02,0.05,0.09.

Figure 6. Probability of extreme poverty ψEP(x) when Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, B = 2, λ=1, x∗=1 and ω2(x)=βx for β=0.02,0.05,0.09.

Figure 7. (a) Cash transfer rate cT and capital barrier level B required to attain a given target trapping probability of ψP(x)=0.01 when ZiBeta(1.25,1), a = 0.1, b = 4, cS=0.4, λ=1 and x=1 for initial capital x=1.5,2,3,4 (b) Cash transfer rate cT and capital barrier level B required to attain a given target probability of extreme poverty of ψEP(x)=0.01 when ZiBeta(1.25,1), a=0.1, b = 4, cS=0.4, λ=1, x=1 and ωc=0.09 for initial capital x=1.5,2,3,4.

Figure 7. (a) Cash transfer rate cT and capital barrier level B required to attain a given target trapping probability of ψP(x)=0.01 when Zi∼Beta(1.25,1), a = 0.1, b = 4, cS=0.4, λ=1 and x∗=1 for initial capital x=1.5,2,3,4 (b) Cash transfer rate cT and capital barrier level B required to attain a given target probability of extreme poverty of ψEP(x)=0.01 when Zi∼Beta(1.25,1), a=0.1, b = 4, cS=0.4, λ=1, x∗=1 and ωc=0.09 for initial capital x=1.5,2,3,4.

Figure 8. Computation of ΨEP(ω,x) conditional on a realised sample path.

Figure 8. Computation of ΨEP(ω,x) conditional on a realised sample path.

Figure 9. (a) Probability of extreme poverty ψˆEP(x)n when n = 10, 000, ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, B = 2, λ=1, x=1 and ω1(x)=0.02 for cT=0.25,0.5,0.75,1 (b) Probability of extreme poverty ψEP(x)n when n = 10, 000, ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, λ=1, x=1 and ω1(x)=0.02 for Bx+ and B=2,3,4.

Figure 9. (a) Probability of extreme poverty ψˆEP(x)n when n = 10, 000, Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, B = 2, λ=1, x∗=1 and ω1(x)=0.02 for cT=0.25,0.5,0.75,1 (b) Probability of extreme poverty ψEP(x)n when n = 10, 000, Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, λ=1, x∗=1 and ω1(x)=0.02 for B→x∗+ and B=2,3,4.

Figure 10. Probability of extreme poverty ψˆEP(x)n when n = 10, 000, ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, B = 2, λ=1, x=1 and ω1(x)=ωc for ωc=0.02,0.05,0.09.

Figure 10. Probability of extreme poverty ψˆEP(x)n when n = 10, 000, Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, B = 2, λ=1, x∗=1 and ω1(x)=ωc for ωc=0.02,0.05,0.09.

Figure 11. (a) Probability of extreme poverty ψˆEP(x)n when n = 10, 000, ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, B = 2, λ=1, x=1 and ω2(x)=0.02x for cT=0.25,0.5,0.75,1 (b) Probability of extreme poverty ψEP(x) when ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, λ=1, x=1 and ω2(x)=0.02x for Bx+ and B=2,3,4.

Figure 11. (a) Probability of extreme poverty ψˆEP(x)n when n = 10, 000, Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, B = 2, λ=1, x∗=1 and ω2(x)=0.02x for cT=0.25,0.5,0.75,1 (b) Probability of extreme poverty ψEP(x) when Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, λ=1, x∗=1 and ω2(x)=0.02x for B→x∗+ and B=2,3,4.

Figure 12. Probability of extreme poverty ψˆEP(x)n when n = 10, 000, ZiBeta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, B = 2, λ=1, x=1 and ω2(x)=βx for β=0.02,0.05,0.09.

Figure 12. Probability of extreme poverty ψˆEP(x)n when n = 10, 000, Zi∼Beta(0.8,1), a = 0.1, b = 4, cS=0.4, cT=0.25, B = 2, λ=1, x∗=1 and ω2(x)=βx for β=0.02,0.05,0.09.

Figure A1. Effects of the rate of consumption (0<a<1), income generation (b>0), investment or savings (0<cS<1), the parameter of the Beta distribution (α>0) (i.e. expected remaining proportion of capital), the expected capital loss frequency (λ>0), the critical capital (xx), the capital barrier level (B>x) and the capital transfer rate (cT>0) on the trapping probability of the original model obtained in Henshaw et al. (Citation2023) (in red) and on the trapping probability of the model with capital cash transfers (in blue) for initial capital x=1.3(solid),1.7(dashed),4.0(dotted),6.0(dasheddotted).

Figure A1. Effects of the rate of consumption (0<a<1), income generation (b>0), investment or savings (0<cS<1), the parameter of the Beta distribution (α>0) (i.e. expected remaining proportion of capital), the expected capital loss frequency (λ>0), the critical capital (x≥x∗), the capital barrier level (B>x∗) and the capital transfer rate (cT>0) on the trapping probability of the original model obtained in Henshaw et al. (Citation2023) (in red) and on the trapping probability of the model with capital cash transfers (in blue) for initial capital x=1.3(solid),1.7(dashed),4.0(dotted),6.0(dashed−dotted).

Figure A2. Effects of the rate of consumption (0<a<1), income generation (b>0), investment or savings (0<cS<1), the parameter of the Beta distribution (α>0) (i.e. expected remaining proportion of capital), the expected capital loss frequency (λ>0), the critical capital (xx), the capital barrier level (B>x), the capital transfer rate (cT>0) and the extreme poverty rate function on the probability of extreme poverty for a constant extreme poverty rate function (in orange) and an exponential extreme poverty rate function (in purple) for initial capital x=1.3(solid),1.7(dashed),4.0(dotted),6.0(dasheddotted).

Figure A2. Effects of the rate of consumption (0<a<1), income generation (b>0), investment or savings (0<cS<1), the parameter of the Beta distribution (α>0) (i.e. expected remaining proportion of capital), the expected capital loss frequency (λ>0), the critical capital (x≥x∗), the capital barrier level (B>x∗), the capital transfer rate (cT>0) and the extreme poverty rate function on the probability of extreme poverty for a constant extreme poverty rate function (in orange) and an exponential extreme poverty rate function (in purple) for initial capital x=1.3(solid),1.7(dashed),4.0(dotted),6.0(dashed−dotted).