| Literature DB >> 30064429 |
Tianxiang Chen1,2, Ying Wang1, Xiaoyi Luo3, Yuxuan Rao4, Lei Hua5,6.
Abstract
BACKGROUND: After economic reform, China experienced rising public health services inequality between the eastern developed and mid-west undeveloped provinces. The fiscal transfer payment system which aims to shape the disparities was considered inefficient. However, there are only a few studies that address the political reason when analyzing the inter-provincial public health services inequality. And the previous studies did not consider a possible non-linear relationship between the fiscal transfer payments and the inter-provincial public health services equalization.Entities:
Keywords: China; Fiscal self-sufficiency of local governments; Fiscal transfer payments; Inter-provincial public health services inequality; Local officials; Political promotion tournament; Public health services equalization
Mesh:
Year: 2018 PMID: 30064429 PMCID: PMC6069573 DOI: 10.1186/s12939-018-0827-8
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Fig. 1The theoretical analysis flow chart
Fig. 2The anticipated effects of fiscal transfer payments on inter-provincial public health services equalization
Descriptive statistics
| Variable | Observations | Mean | SD | Min | Max |
|---|---|---|---|---|---|
|
| 589 | −24.128 | 31.539 | − 171.983 | 0 |
|
| 589 | −35.115 | 49.226 | − 260 | 0 |
|
| 589 | 51.705 | 19.741 | 5.303 | 95.086 |
|
| 589 | 7.108 | 7.232 | 0.158 | 37.796 |
|
| 589 | 11.196 | 2.554 | 3 | 23.8 |
|
| 589 | 76.939 | 59.480 | 0.905 | 423.35 |
|
| 589 | 39.330 | 7.969 | 19.27 | 64.49 |
|
| 589 | 46.511 | 16.192 | 16.9 | 89.6 |
|
| 589 | 5.941 | 3.327 | −1.8 | 16 |
Panel unit root tests
| Levin-Lin-Chu test | Im, Pesaran and Shin test | ADF-Fisher test | Pesaran’s simple test | ||
|---|---|---|---|---|---|
| Levels |
| 1.668 | 4.625 | 40.423 | 0.872 |
|
| 3.438 | 5.394 | 23.514 | 2.475 | |
|
| −5.815** | −3.216** | 176.639** | 1.238 | |
|
| 10.398 | 13.971 | 0.976 | −0.946 | |
|
| −1.498 | −1.197 | 54.575 | −1.602 | |
|
| −4.436** | −2.585** | 4.094 | −6.582** | |
|
| −2.617** | −1.444 | 78.900 | −2.087* | |
|
| −0.949 | 3.306 | 79.842 | −1.582 | |
|
| −4.032** | −0.756 | 167.540** | −0.905 | |
| Difference |
| −6.984** | −6.54** | 192.482** | −2.908** |
|
| −5.027** | −6.804** | 249.782** | −6.042** | |
|
| −7.563** | −7.729** | 169.105** | −3.514** | |
|
| −4.195** | − 3.157** | 60.952** | − 3.805** | |
|
| −9.191** | −10.531** | 238.575** | −4.769** | |
|
| −12.749** | −14.756** | 354.954** | −10.993** | |
|
| −11.878** | −12.309** | 190.559** | −7.640** | |
|
| −5.895** | −5.769** | 166.369** | −4.812** | |
|
| −6.956** | −8.986** | 170.687** | −7.907** |
Note: “**” and “*” indicate significance levels of 1 and 5%, respectively
Panel cointegration tests
| Model 1 Dependent variable: | Model 2 Dependent variable: | |||
|---|---|---|---|---|
| Statistics | Statistics | |||
|
| ||||
| Modified Phillips-Perron t | 7.122** | 0.000 | 5.861** | 0.000 |
| Phillips-Perron t | −9.080** | 0.000 | −16.000** | 0.000 |
| Augmented Dickey-Fuller t | − 7.601** | 0.000 | −13.295** | 0.000 |
|
| ||||
| Variance ratio | −1.647* | 0.050 | −1.932* | 0.027 |
Note: “**” and “*” indicate significance levels of 1 and 5%, respectively
Tests for threshold effects between fiscal transfer payments and inter-provincial public health services equalization
| Model | Test | Critical values | ||
|---|---|---|---|---|
| Model 1 | Single threshold | 9.881** | 0.000 | (2.587, 3.892, 6.381) |
| Double threshold | 12.826** | 0.001 | (2.688, 3.924, 6.495) | |
| Triple threshold | 7.686** | 0.004 | (2.864, 3.979, 6.610) | |
| Model 2 | Single threshold | 24.616** | 0.000 | (2.659, 3.695, 6.915) |
| Double threshold | 23.660** | 0.000 | (−0.679, 1.817, 6.755) | |
| Triple threshold | 9.482** | 0.000 | (2.787, 3.981, 7.023) |
Note: (1) F-statistics and p-values are derived by using the bootstrap method with 1000 repeats. (2) “**” indicates significance level of 1%
Threshold estimates and confidence intervals
| Model | Test | Threshold estimates | 95% confidence interval |
|---|---|---|---|
| Model 1 | Single threshold | 43.765 | (41.123, 44.756) |
| Double threshold | 29.236 | (25.273, 35.510) | |
| 43.765 | (42.444, 44.426) | ||
| Triple threshold | 29.236 | (25.273, 35.180) | |
| 43.765 | (41.123, 44.426) | ||
| 63.248 | (59.285, 72.824) | ||
| Model 2 | Single threshold | 29.236 | (25.273, 31.217) |
| Double threshold | 28.575 | (25.273, 30.887) | |
| 79.759 | (75.796, 80.089) | ||
| Triple threshold | 28.575 | (26.594, 30.226) | |
| 45.746 | (44.426, 47.067) | ||
| 79.759 | (75.796, 80.089) |
Empirical results of panel threshold regression
| Coefficient | Std. Err. | T | |||
|---|---|---|---|---|---|
| Model 1 | Dependent variable: | ||||
| Core independent variable | |||||
| | −0.590* | 0.237 | −2.486 | 0.013 | |
| | 0.253* | 0.124 | 2.049 | 0.041 | |
| | −0.111 | 0.137 | −0.808 | 0.419 | |
| | −0.649** | 0.240 | −2.707 | 0.007 | |
| Control variables | |||||
| | −0.323 | 0.182 | −1.779 | 0.076 | |
| | 0.357** | 0.019 | 18.434 | 0.000 | |
| | 0.259* | 0.123 | 2.113 | 0.035 | |
| | −0.855** | 0.150 | −5.719 | 0.000 | |
| | −0.814** | 0.316 | −2.573 | 0.010 | |
| Model 2 | Dependent variable: | ||||
| Core independent variable | |||||
| | −1.418** | 0.312 | −4.545 | 0.000 | |
| | 0.310* | 0.133 | 2.328 | 0.020 | |
| | −0.073 | 0.185 | −0.396 | 0.693 | |
| | −1.505** | 0.369 | −4.085 | 0.000 | |
| Control variables | |||||
| | −0.018 | 0.205 | −0.087 | 0.931 | |
| | 0.334** | 0.021 | 15.773 | 0.000 | |
| | 0.220 | 0.137 | 1.603 | 0.110 | |
| | −0.771** | 0.168 | −4.594 | 0.000 | |
| | −1.316** | 0.343 | −3.830 | 0.000 | |
Note: “**” and “*” indicate significance levels of 1 and 5%, respectively
Fig. 3The actual effects of fiscal transfer payments on inter-provincial public health services equalization (Model 1)
Fig. 4The actual effects of fiscal transfer payments on inter-provincial public health services equalization (Model 2)
Fig. 5Percentage of provinces in each regime by year (Model 1)
Fig. 6Percentage of provinces in each regime by year (Model 2)