| . | Kenya . | Ghana . | ||||||
|---|---|---|---|---|---|---|---|---|
| . | TFPR . | TFPQ . | TFPR . | TFPQ . | ||||
| . | CW . | SW . | CW . | SW . | CW . | SW . | CW . | SW . |
| S.D. | 1.30 | 1.48 | 2.21 | 2.72 | 0.98 | 1.05 | 1.28 | 1.32 |
| 75–25 | 1.34 | 1.65 | 3.21 | 5.20 | 1.11 | 1.60 | 1.97 | 2.01 |
| 90–10 | 2.86 | 4.37 | 5.54 | 7.29 | 2.56 | 2.58 | 3.43 | 3.57 |
| Reg. Coeff. | 0.46 | 0.49 | ||||||
| N | 150 | 169 | 150 | 169 | 249 | 258 | 249 | 258 |
| . | Kenya . | Ghana . | ||||||
|---|---|---|---|---|---|---|---|---|
| . | TFPR . | TFPQ . | TFPR . | TFPQ . | ||||
| . | CW . | SW . | CW . | SW . | CW . | SW . | CW . | SW . |
| S.D. | 1.30 | 1.48 | 2.21 | 2.72 | 0.98 | 1.05 | 1.28 | 1.32 |
| 75–25 | 1.34 | 1.65 | 3.21 | 5.20 | 1.11 | 1.60 | 1.97 | 2.01 |
| 90–10 | 2.86 | 4.37 | 5.54 | 7.29 | 2.56 | 2.58 | 3.43 | 3.57 |
| Reg. Coeff. | 0.46 | 0.49 | ||||||
| N | 150 | 169 | 150 | 169 | 249 | 258 | 249 | 258 |
Source: Authors’ analysis based on the World Bank Enterprise Survey data.
Note: CW and SW refer to Census-weight and Survey-weight, respectively. Dispersion of log TFPR and log TFPQ scaled by industry-specific average. TFPR and TFPQ are calculated for each establishment (i) in industry (s) and then scaled by industry-specific averages before taking their logs, i.e., |$\log (TFPR_{si}/\overline{TFPR}_{s})$| and |$\log (TFPQ_{si}/\overline{TFPQ}_{s})$|. Industries are weighted by their value-added shares. TFPR and TFPQ are revenue and physical productivity, respectively. 75–25 is the ratio of the 75th to 25th percentiles and 90–10 is the ratio of the 90th to the 10th percentiles. Reg. Coeff is the coefficient of a regression of log TFPR on log TFPQ scaled by industry-specific average.
| . | Kenya . | Ghana . | ||||||
|---|---|---|---|---|---|---|---|---|
| . | TFPR . | TFPQ . | TFPR . | TFPQ . | ||||
| . | CW . | SW . | CW . | SW . | CW . | SW . | CW . | SW . |
| S.D. | 1.30 | 1.48 | 2.21 | 2.72 | 0.98 | 1.05 | 1.28 | 1.32 |
| 75–25 | 1.34 | 1.65 | 3.21 | 5.20 | 1.11 | 1.60 | 1.97 | 2.01 |
| 90–10 | 2.86 | 4.37 | 5.54 | 7.29 | 2.56 | 2.58 | 3.43 | 3.57 |
| Reg. Coeff. | 0.46 | 0.49 | ||||||
| N | 150 | 169 | 150 | 169 | 249 | 258 | 249 | 258 |
| . | Kenya . | Ghana . | ||||||
|---|---|---|---|---|---|---|---|---|
| . | TFPR . | TFPQ . | TFPR . | TFPQ . | ||||
| . | CW . | SW . | CW . | SW . | CW . | SW . | CW . | SW . |
| S.D. | 1.30 | 1.48 | 2.21 | 2.72 | 0.98 | 1.05 | 1.28 | 1.32 |
| 75–25 | 1.34 | 1.65 | 3.21 | 5.20 | 1.11 | 1.60 | 1.97 | 2.01 |
| 90–10 | 2.86 | 4.37 | 5.54 | 7.29 | 2.56 | 2.58 | 3.43 | 3.57 |
| Reg. Coeff. | 0.46 | 0.49 | ||||||
| N | 150 | 169 | 150 | 169 | 249 | 258 | 249 | 258 |
Source: Authors’ analysis based on the World Bank Enterprise Survey data.
Note: CW and SW refer to Census-weight and Survey-weight, respectively. Dispersion of log TFPR and log TFPQ scaled by industry-specific average. TFPR and TFPQ are calculated for each establishment (i) in industry (s) and then scaled by industry-specific averages before taking their logs, i.e., |$\log (TFPR_{si}/\overline{TFPR}_{s})$| and |$\log (TFPQ_{si}/\overline{TFPQ}_{s})$|. Industries are weighted by their value-added shares. TFPR and TFPQ are revenue and physical productivity, respectively. 75–25 is the ratio of the 75th to 25th percentiles and 90–10 is the ratio of the 90th to the 10th percentiles. Reg. Coeff is the coefficient of a regression of log TFPR on log TFPQ scaled by industry-specific average.
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