Table 7B.

Treatment effect on cost efficiency (MZN/kg), log.

GSR (Simão)Non-GSR
ObservationsMeanStandard deviationMeanStandard deviationTreatment effect% change
All provinces
Adopters1262.3050.4873.1310.614ATT: –0.825***–26.366
Non-adopters1261.2570.5632.3130.662ATU: –1.057***–45.674
Gaza province
Adopters332.3100.3683.3400.381ATT: –1.030***–30.851
Non-adopters331.1700.3542.4310.332ATU: –1.260***–51.841
Nampula province
Adopters422.1460.5522.6500.490ATT: –0.504***–19.026
Non-adopters420.3070.6391.8190.678ATU: –1.512***–83.139
Sofala province
Adopters492.3370.5443.2330.652ATT: –0.896***–27.713
Non-adopters490.9720.4832.6520.527ATU: –1.680***–63.347
GSR (Simão)Non-GSR
ObservationsMeanStandard deviationMeanStandard deviationTreatment effect% change
All provinces
Adopters1262.3050.4873.1310.614ATT: –0.825***–26.366
Non-adopters1261.2570.5632.3130.662ATU: –1.057***–45.674
Gaza province
Adopters332.3100.3683.3400.381ATT: –1.030***–30.851
Non-adopters331.1700.3542.4310.332ATU: –1.260***–51.841
Nampula province
Adopters422.1460.5522.6500.490ATT: –0.504***–19.026
Non-adopters420.3070.6391.8190.678ATU: –1.512***–83.139
Sofala province
Adopters492.3370.5443.2330.652ATT: –0.896***–27.713
Non-adopters490.9720.4832.6520.527ATU: –1.680***–63.347

Notes: Asterisks (*, **, and ***) denote significance at 10, 5, and 1 per cent levels, respectively. Based on the coefficients estimated from the ESR model, the predicted yields are shown in log form. Because the dependent variables in the model are the log of yields (kg/ha), the predicted yields are also given in the log form. Converting the mean back to kilogram would lead to inaccuracies due to the inequality of arithmetic and geometric means.

Table 7B.

Treatment effect on cost efficiency (MZN/kg), log.

GSR (Simão)Non-GSR
ObservationsMeanStandard deviationMeanStandard deviationTreatment effect% change
All provinces
Adopters1262.3050.4873.1310.614ATT: –0.825***–26.366
Non-adopters1261.2570.5632.3130.662ATU: –1.057***–45.674
Gaza province
Adopters332.3100.3683.3400.381ATT: –1.030***–30.851
Non-adopters331.1700.3542.4310.332ATU: –1.260***–51.841
Nampula province
Adopters422.1460.5522.6500.490ATT: –0.504***–19.026
Non-adopters420.3070.6391.8190.678ATU: –1.512***–83.139
Sofala province
Adopters492.3370.5443.2330.652ATT: –0.896***–27.713
Non-adopters490.9720.4832.6520.527ATU: –1.680***–63.347
GSR (Simão)Non-GSR
ObservationsMeanStandard deviationMeanStandard deviationTreatment effect% change
All provinces
Adopters1262.3050.4873.1310.614ATT: –0.825***–26.366
Non-adopters1261.2570.5632.3130.662ATU: –1.057***–45.674
Gaza province
Adopters332.3100.3683.3400.381ATT: –1.030***–30.851
Non-adopters331.1700.3542.4310.332ATU: –1.260***–51.841
Nampula province
Adopters422.1460.5522.6500.490ATT: –0.504***–19.026
Non-adopters420.3070.6391.8190.678ATU: –1.512***–83.139
Sofala province
Adopters492.3370.5443.2330.652ATT: –0.896***–27.713
Non-adopters490.9720.4832.6520.527ATU: –1.680***–63.347

Notes: Asterisks (*, **, and ***) denote significance at 10, 5, and 1 per cent levels, respectively. Based on the coefficients estimated from the ESR model, the predicted yields are shown in log form. Because the dependent variables in the model are the log of yields (kg/ha), the predicted yields are also given in the log form. Converting the mean back to kilogram would lead to inaccuracies due to the inequality of arithmetic and geometric means.

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