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Table 5 Malmquist index and its decomposition for primary health care institutions in China (geographical dimension)

From: A study of primary health care service efficiency and its spatial correlation in China

Firm

EFFCH

TECHCH

PECH

SECH

TFPCH

Beijing

1

1.004

1

1

1.004

Tianjin

0.981

0.989

1

0.981

0.969

Hebei

0.981

0.981

0.977

1.004

0.963

Shanxi

0.983

0.978

0.997

0.986

0.961

Inner Mongolia

0.967

0.98

0.986

0.981

0.948

Liaoning

0.982

0.981

0.993

0.989

0.963

Jilin

0.954

0.984

0.975

0.978

0.939

Heilongjiang

0.954

0.971

0.973

0.981

0.927

Shanghai

1

0.973

1

1

0.973

Jiangsu

1.009

0.99

1

1.009

0.999

Zhejiang

1

1.009

1

1

1.009

Anhui

1.01

0.991

1.001

1.009

1.001

Fujian

0.99

0.961

0.993

0.997

0.952

Jiangxi

0.997

0.964

0.997

1

0.961

Shandong

0.996

0.984

1

0.996

0.98

Henan

1.009

0.983

1

1.009

0.991

Hubei

1.008

0.991

1.013

0.996

0.999

Hunan

1.026

0.97

1.005

1.021

0.995

Guangdong

0.992

0.987

1

0.992

0.98

Guangxi

1.005

0.979

1

1.005

0.984

Hainan

0.983

0.985

0.999

0.984

0.969

Chongqing

1

1.003

1

1

1.003

Sichuan

1.007

0.977

1

1.007

0.985

Guizhou

0.961

0.958

0.963

0.998

0.921

Yunnan

0.997

0.977

0.995

1.001

0.974

Xizang

0.976

0.984

1.003

0.973

0.961

Shanxi

0.979

0.983

0.984

0.995

0.962

Gansu

0.994

0.98

1.003

0.991

0.974

Qinghai

0.971

0.955

1

0.971

0.927

Ningxia

0.964

0.988

1

0.964

0.952

Xinjiang

0.995

0.963

0.995

1

0.958

Mean

0.989

0.981

0.995

0.994

0.970