Sample selection and distribution
| Panel A: Sample selection procedure | |
|---|---|
| Selection process | Number of observations |
| Total observations produced from 2000 to 2023 | 127,524 |
| Drop: observations produced from the data outside the A-shares stock market, before 2010, CEO duality (the CEO also serves as Chair), SIC codes between S91 (Conglomerates), SIC codes between J66 to J69 (Financial institutes) | (66,246) |
| Drop: observations with missing data on Variables (TONE/GAPS/TENURE1/TENURE2/FIRMAGE/STDRET/SALEGR/CCS 50%/INSINVS 50%/INTANG_median/SALARY/BMEET/FCF/AQ) | (34,402) |
| Total Sample (2010 to 2023) | 26,876 |
| Note(s): The initial sample selection period is from 2000 to 2023. The final datasets cover the period from 2010 to 2023 | |
| Panel A: Sample selection procedure | |
|---|---|
| Selection process | Number of observations |
| Total observations produced from 2000 to 2023 | 127,524 |
| Drop: observations produced from the data outside the A-shares stock market, before 2010, CEO duality (the CEO also serves as Chair), SIC codes between S91 (Conglomerates), SIC codes between J66 to J69 (Financial institutes) | (66,246) |
| Drop: observations with missing data on Variables ( | (34,402) |
| Panel B: Industry distribution | ||||
|---|---|---|---|---|
| Group | SIC code | Industry | N | % of N |
| 1 | A01 to A05 | Agriculture | 335 | 1.25 |
| 2 | B06 to B11 | Mining | 455 | 1.69 |
| 3 | C14 to C15 | Food manufacturing | 1,061 | 3.94 |
| 4 | C17 to C24 | Machine manufacturing | 1,183 | 4.40 |
| 5 | C25 to C28 | Chemical manufacturing | 3,910 | 14.55 |
| 6 | C29 to C43 | Metal and non-metal | 11,690 | 43.50 |
| 7 | D44 to D46 | Utility | 848 | 3.16 |
| 8 | E47 to E50 | Construction | 643 | 2.39 |
| 9 | F51 to F52 | Retailing | 1,140 | 4.24 |
| 10 | G53 to G60 | Transport | 573 | 2.13 |
| 11 | I63 to I65 | IT | 2,327 | 8.66 |
| 12 | K70; L71 | Real estate | 804 | 2.99 |
| 13 | L72; M73 to M75 | Business and research service | 909 | 3.38 |
| 14 | N76 to N79; O81; P82; R88 to R89 | Other service | 596 | 2.22 |
| 15 | Q84 | Health service | 158 | 0.58 |
| 16 | R86 to R87 | Press | 246 | 0.92 |
| Total | 26,876 | 100 | ||
| Panel B: Industry distribution | ||||
|---|---|---|---|---|
| Group | SIC code | Industry | % of | |
| 1 | A01 to A05 | Agriculture | 335 | 1.25 |
| 2 | B06 to B11 | Mining | 455 | 1.69 |
| 3 | C14 to C15 | Food manufacturing | 1,061 | 3.94 |
| 4 | C17 to C24 | Machine manufacturing | 1,183 | 4.40 |
| 5 | C25 to C28 | Chemical manufacturing | 3,910 | 14.55 |
| 6 | C29 to C43 | Metal and non-metal | 11,690 | 43.50 |
| 7 | D44 to D46 | Utility | 848 | 3.16 |
| 8 | E47 to E50 | Construction | 643 | 2.39 |
| 9 | F51 to F52 | Retailing | 1,140 | 4.24 |
| 10 | G53 to G60 | Transport | 573 | 2.13 |
| 11 | I63 to I65 | IT | 2,327 | 8.66 |
| 12 | K70; L71 | Real estate | 804 | 2.99 |
| 13 | L72; M73 to M75 | Business and research service | 909 | 3.38 |
| 14 | N76 to N79; O81; P82; R88 to R89 | Other service | 596 | 2.22 |
| 15 | Q84 | Health service | 158 | 0.58 |
| 16 | R86 to R87 | Press | 246 | 0.92 |
Note(s): Following Hu et al. (2026), the industry classification method adopted by this study for Chinese-listed firms (Including industry code from CSMAR: A01-A05, B06-B11, C13-C15, C17-43, D44-D46, E47 -E50, F51-F52, G53-G60, I63-I65, J66-J69, K70, L71-L72, M73-M75, N76-N79, O81, P83, Q84, R86-R89, S91)
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