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Table 2 Association between China’s development assistance for health allocation and subnational political and demographic characteristics

From: Determinants of China’s development assistance for health at the sub-national level of African countries (2006–2015)

 

Medical teams

Hospitals

Anti-malaria centers

Univariate model

Multivariate model

Univariate model

Multivariate model

Univariate model

Multivariate model

cOR

P-value

aOR

P-value

cOR

P-value

aOR

P-value

cOR

P-value

aOR

P-value

Political indicators

 Birth places of national leaders*

1.97

0.050

1.17

0.778

2.18

0.067

1.61

0.362

1.83

0.182

1.16

0.885

 Capital city of the country

76.80

<  0.001

29.62

<  0.001

9.16

<  0.001

7.98

<  0.001

49.65

<  0.001

35.42

<  0.001

Demographic and economic indicators

 Number of population (per million increase)

1.27

0.090

2.02

0.004

1.02

0.848

0.92

0.638

1.90

0.001

1.35

0.015

 Population density (1000/km2 increase)

40.30

<  0.001

79.01

0.006

1.27

0.014

0.84

0.324

1.99

<  0.001

1.63

0.382

 Nighttime light (per scale increase)

1.22

<  0.001

0.80

0.031

1.10

<  0.001

1.06

0.147

1.16

<  0.001

0.96

0.707

  1. Abbreviations: DAH Development Assistance for Health, cOR crude odds ratio, aOR adjusted odds ratio. Conditional logistic regression model was used to calculate the odds ratio for each outcome (allocation of the China medical teams, hospitals or anti-malaria centers). Univariate model only included one potential factor and multivariate model included all the five indicators. P-value was reported for both models
  2. *Missingness on leaders’ birth place was 16.0% (n = 107 principle subdivisions in 5 countries)