An Empirical Study on the Measurement of Forestry Total Factor Productivity Based on DEA Malmquist Model

Table 3

Index and decomposition of average total factor productivity of forestry in 31 provinces in China from1997 to 2020.

Region	Technical efficiency	Technical progress	Pure technical efficiency	Scale efficiency	Total factor productivity
Shanxi	1.016	1.079	1.009	1.005	1.093
Inner Mongolia	1.048	1.017	1.000	1.056	1.062
Jilin	1.000	1.008	1.000	1.000	1.008
Heilongjiang	1.059	0.953	1.000	1.059	1.009
Henan	0.998	0.978	1.000	0.998	0.979
Hubei	1.016	1.017	0.999	1.019	1.035
Hainan	1.000	1.135	1.000	1.000	1.135
Chongqing	1.000	1.088	1.000	1.000	1.088
Sichuan	1.079	1.051	1.006	1.079	1.136
Guizhou	1.016	1.029	1.015	1.012	1.047
Yunnan	1.027	1.015	1.006	1.027	1.013
Tibet	1.000	1.006	1.000	1.000	1.006
Shanxi	0.983	0.983	0.996	0.985	0.958
Gansu	1.015	0.999	0.995	1.026	1.009
Qinghai	0.998	1.017	1.000	0.998	1.013
Ningxia	1.018	1.021	0.999	1.019	1.047
Xinjiang	1.010	1.042	1.005	1.009	1.053
Beijing	0.996	1.049	1.000	0.994	1.043
Tianjin	1.000	1.021	1.000	1.000	1.021
Hebei	1.001	1.046	1.000	1.001	1.046
Liaoning	1.007	1.007	1.004	0.999	1.005
Shanghai	1.000	1.048	1.000	1.000	1.048
Jiangsu	1.001	1.108	1.000	1.001	1.109
Zhejiang	1.000	1.167	1.000	1.000	1.167
Anhui	1.013	0.946	1.001	1.009	0.957
Fujian	1.009	1.079	1.000	1.009	1.088
Jiangxi	0.999	1.004	1.000	0.999	0.999
Shandong	1.000	1.041	1.000	1.000	1.041
Hunan	1.051	1.005	1.008	1.034	1.059
Guangdong	1.031	1.117	1.002	1.029	1.143
Guangxi	1.035	1.045	1.005	1.039	1.069
National average	1.013	1.036	1.002	1.013	1.047