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Table 8 The results of the spatial effect decomposition of the SDM models

From: Spatiotemporal evolution and influencing factors of the allocation of social care resources for the older adults in China

Variables

SDM1

SDM2

Direct effect

Indirect effect

Total effect

Direct effect

Indirect effect

Total effect

Ln (the per capita GDP)

0.537***

-0.131

0.406

0.404**

0.126

0.529

(0.199)

(0.386)

(0.334)

(0.175)

(0.397)

(0.376)

Ln (the proportion of social welfare expenditure in GDP)

0.135**

0.186

0.321*

0.149**

0.275

0.424*

(0.0679)

(0.154)

(0.194)

(0.0744)

(0.218)

(0.257)

Ln (the proportion of the tertiary industry in GDP)

0.913***

-0.800*

0.113

0.713***

-1.235**

-0.521

(0.234)

(0.448)

(0.448)

(0.222)

(0.609)

(0.605)

Ln (the proportion of the older adults aged 65 +)

-0.242

-0.387

-0.629**

-0.261

-1.568***

-1.829***

(0.155)

(0.296)

(0.299)

(0.160)

(0.382)

(0.411)

Ln (the old age dependency ratio)

-0.561***

-0.528**

-1.088***

-0.604***

-0.534

-1.138***

(0.174)

(0.259)

(0.210)

(0.171)

(0.396)

(0.313)

Ln (the park green space area per capita)

0.153

0.225

0.378

0.249**

0.950

1.199**

(0.111)

(0.348)

(0.382)

(0.117)

(0.604)

(0.609)

  1. *, ** and *** indicate significance at the level of 0.1, 0.05, 0.01, respectively. the SDM1 model is based on binary adjacency matrix, the SDM2 model is based on the geographical distance matrix. The value in parentheses represents the standard deviation