Yi, Zeng. 1996. "Is Fertility in China 1991-92 Far Below Replacement Level?", POPULATION STUDIES, vol. 50, no. 1, pp. 27-34.
Summary Data
| Source and Comparisons | Fertility Rate |
Year |
| 1992 Report SFPC (State Family Planning Commission) | 1.65 |
1991 |
1.52 |
1992 |
|
| Replacement Rate | 2.20 |
|
| 1995 US Rate (Based on Starr, 1997) | 2.10 |
1995 |
| PAST DECADE IN CHINA | ||
| MAX 1982 | 2.87 |
1982 |
| MIN 1985 | 2.20 |
1985 |
| 1990 Census | 2.3 to 2.2 |
1990 |
Issue: Why the huge and sudden drop recorded in 1992 survey?
A. Why 1992 Survey might have increased underreporting
1. Background: Coverage of Study
- All China Covered
- 385,000 people or 0.35 per 1000 women
- 50% Women of reproductive age
2. Three Unique Features -- purpose to guarantee quality of results, unfortunately might have in fact biased results
1) Enumerators
In past Surveys: Not FPC (Family Planning Commission)
- For example: 1990 census generally were not FPC employees
- Many not highly skilled -- highschool students, retirees,
- When FPC employees used, used outside area they administered
1992 study exclusively used FPC workers and they checked areas that they administered
- Why such approach
- Cut costs
- Locals well acquainted with situation, harder to hide information from them
Results: Although promised punishment would not occur to FPC officials if results change from past, trust was low
Local Officials already caught in a lie may need to continue
Why low trust??? Past Problem of 1990 Census
Example in Anhiu Province for 1990 census stated:
- Truth to be unpunished -- please report the truth
- However after count conducted law was changed and punishment applied -- sorry, we caught you
2) Questionnaire
- Unplanned births highlighted in 1992 survey (tip-off)
- Result -- least likely to report most recent unplanned birth when fine not yet paid
- Focus on unplanned births could cause officials to suggest lying as the correct strategy -- long history of telling the Govt. what it wants to hear
3) Title of survey made it look like permanent register -- increase fear level of respondents
- No one wants to get on permanent list
C. "One Vote Down" Campaign 1991 -- Another problem
D. Empirical Evidence of Underreporting
1. Studies demonstrates underreporting close to 30% -- see 1993 survey as example
2. Systematic errors (bias) apparent by reviewing past surveys
Summary of Data -- note trends
| Reported Total Fertility from various sources | ||||
| Survey | Survey | Census | Survey | |
| Year | 1987 |
1988 |
1990 |
1992 |
1986 |
2.37 |
2.42 |
2.39 |
2.45 |
1987 |
2.51 |
2.59 |
2.58 |
2.55 |
1988 |
2.29 |
2.46 |
2.27 |
|
1989 |
2.30 |
2.24 |
||
1990 |
2.18 |
2.04 |
||
1991 |
1.65 |
|||
1992 |
1.52 |
|||
Before 1992: Matching-up/Catching-up Phenomena -- later values always bigger than initial value (note each row)
- Why? Perhaps fine already paid or dealt with in other manner
- Officials might benefit from higher "corrected" numbers and lower "false" current values
1992 Survey: Seems to have special new problems, perhaps result of "one vote down" and other factors
- Errors even in earlier data starting with 1988
D. Adjustment of 1992 results
- Based on 1993 study adjust upward 1992 results by about 30%
- Note error greater in latest years
- Note greater error in rural areas
| Table 3: Adjustment of TF in 1992 Survey | |||
| Year | Reported TF | Under-reporting rate | Adjusted TF |
1990 |
2.042 |
0.160 |
2.432 |
1991 |
1.653 |
0.248 |
2.197 |
1992 |
1.520 |
0.275 |
2.097 |
Conclusions