International Journal of Forestry Research / 2016 / Article / Tab 2

Research Article

Modelling Analysis of Forestry Input-Output Elasticity in China

Table 2

Local Moran’s index based on space weight matrix as well as test results.

Province

Beijing0.36330.27
Tianjing0.37450.23
Hebei0.01300.48
Shanxi0.29430.29
Neimenggu0.30600.14
Liaoning−0.06110.39
Jilin0.01890.31
Heilongjiang0.05340.41
Shanghai−0.00020.03
Jiangsu−0.03820.04
Zhejiang0.02510.06
Anhui1.29970.01
Fujian−0.14540.01
Jiangxi0.73010.02
Shandong0.62030.11
Henan0.30670.24
Hubei−0.25120.49
Hunan0.39490.1
Guangdong2.34710.04
Guangxi0.64600.07
Hainan0.00000.01
Chongqing−0.97850.46
Sichuan0.36830.01
Guizhou0.00960.31
Yunnan0.28260.45
Xizang1.03620.22
Shaanxi0.44590.15
Gansu0.42820.09
Qinghai0.14280.04
Ningxia0.23030.09
Xinjiang0.45370.01

Note: is local Moran’s index; is the adjoint probability of .

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