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Table 2 Comprehensive health resource density index, 2016–2020

From: Can the allocation of primary health care system resources affect efficiency? A spatial Dubin model study in China

 

2016

2017

2018

2019

2020

Beijing

2.914

2.821

3.275

3.495

3.628

Tianjin

1.905

1.986

2.092

2.143

2.275

Hebei

1.087

0.970

1.226

1.247

1.326

Shanxi

0.961

0.858

1.015

1.037

1.087

Inner Mongolia

0.300

0.280

0.327

0.331

0.351

Liaoning

0.993

0.913

1.060

1.045

1.092

Jilin

0.693

0.638

0.761

0.758

0.879

Heilongjiang

0.490

0.451

0.516

0.535

0.569

Shanghai

3.720

3.624

4.062

4.208

4.454

Jiangsu

1.530

1.369

1.731

1.820

1.967

Zhejiang

1.379

1.382

1.507

1.575

1.701

Anhui

0.940

0.814

1.046

1.095

1.291

Fujian

0.926

0.844

1.002

1.034

1.129

Jiangxi

0.853

0.722

0.932

0.965

1.048

Shandong

1.541

1.361

1.692

1.726

1.834

Henan

1.310

1.116

1.440

1.467

1.628

Hubei

1.125

0.920

1.182

1.177

1.306

Hunan

1.117

0.895

1.188

1.284

1.326

Guangdong

1.205

1.146

1.332

1.379

1.484

Guangxi

0.837

0.705

0.892

0.924

1.029

Hainan

0.877

0.884

0.952

0.982

1.170

Chongqing

1.169

0.949

1.284

1.340

1.445

Sichuan

0.843

0.689

0.918

0.949

1.015

Guizhou

0.795

0.704

0.897

0.944

1.039

Yunnan

0.566

0.518

0.659

0.707

0.781

Tibet

0.099

0.109

0.112

0.118

0.128

Shaanxi

0.917

0.861

0.998

1.038

1.090

Gansu

0.426

0.387

0.473

0.506

0.531

Qinghai

0.177

0.192

0.212

0.214

0.226

Ningxia

0.551

0.622

0.634

0.648

0.699

Xinjiang

0.257

0.220

0.260

0.272

0.285