Table A2.
County-Level Determinants of Years of NRPS Roll-out
| Variables | Number of years since initial roll-out in China | ||
|---|---|---|---|
| (1) | (2) | (3) | |
| county demographic characteristics | |||
| Proportion of residents aged > 60 | −1.0912 (1.4380) |
−1.7857 (1.6366) |
0.7350 (2.5520) |
| Proportion of residents aged 45-59 | 2.6473 (1.6512) |
2.2985 (1.7937) |
3.3090 (2.7339) |
| Population with local Hukou (10,000) | 0.0008 (0.0009) |
0.0009 (0.0013) |
0.0012 (0.0013) |
| Autonomous county, state or region | −0.0682 (0.0853) |
−0.0708 (0.0855) |
−0.0867 (0.1997) |
| county economic and social characteristics | |||
| National poverty-stricken county | −0.0567 (0.0565) |
0.0429 (0.0923) |
|
| GDP per capita (10,000) | 0.0129 (0.0261) |
0.0467 (0.0406) |
|
| Proportion of primary industry added value in GDP | −0.0049 (0.0045) |
−0.0077 (0.0055) |
|
| Net revenue per capita of the local government (10,000) | 0.3892 (0.4447) |
−0.3473 (0.5908) |
|
| Number of beds per 10,000 people in hospitals and orphanages | −0.0023 (0.0015) |
−0.0014 (0.0030) |
|
| Key politician (party secretary) profile | |||
| Born in this municipality | −0.2310 (0.1629) |
||
| Age 50-53 | 0.2303 (0.1591) |
||
| Age 54-57 | 0.1247 (0.1556) |
||
| Age above 58 | 0.2120 (0.1759) |
||
| Male | 0.3716 (0.2371) |
||
| Minority | −0.0995 (0.1598) |
||
| highest degree = M.A | 0.0864 (0.1059) |
||
| highest degree = PhD | 0.0400 (0.1237) |
||
| Graduated from the Party School | −0.0156 (0.0972) |
||
| Major in agriculture | 0.1191 (0.1389) |
||
| major_medicine | −0.0058 (0.1598) |
||
| Major in humanities / social science | 0.1490 (0.1343) |
||
| Major in science or technology | 0.1289 (0.1038) |
||
| Province FE | Yes | Yes | Yes |
| N | 2011 | 2009 | 1928 |
| Adjusted R-sq | 0.1171 | 0.0976 | 0.1901 |
Data sources: same as Table A1
Notes: [1] Column 1 presents results with county demographic characteristics. Column 2 adds other economic and social characteristics. Party secretary background variables are further included in Column 3. [2] Constants are omitted to save space. [3] ***, ** and * represent statistical significance at the 1%, 5% and 10% levels, respectively. Standard errors are reported in the parentheses. [4] All the standard errors are clustered at the county level.