Determinants of China’s health expenditure growth: based on Baumol’s cost disease theory

Table 2 Characteristics of the 30 study provinces from 2010 to 2017

Varibales	N	Mean	SD	Min	Max
Outcome Variables
∆lnTHE	210	0.1278	0.0510	−0.0021	0.2794
∆lnGHE	210	0.1229	0.0663	−0.0587	0.3074
∆lnSHE	210	0.1622	0.0855	−0.1923	0.3751
∆lnOOP	210	0.0946	0.0730	−0.1445	0.2917
Determinants
∆lnGDP	210	0.0806	0.0236	−0.0238	0.1495
∆lnPOP65	210	0.0348	0.0674	−0.2512	0.2808
BV	210	0.3387	1.1036	−2.5498	7.1072
∆lnRD	210	0.0304	0.0679	−0.2559	0.2857
Control Variables
∆lnBED	210	0.0608	0.0759	−0.4926	0.3653
∆lnDOC	210	0.0511	0.1132	−0.4837	0.5690
∆lnOUTP	210	0.0403	0.0346	−0.0454	0.1363
∆lnINP	210	0.0704	0.0469	−0.0364	0.2355

Notes: Since the prefix ∆ln denotes yearly growth rates of each variable as we introduced in Methods, there were only 7 effective observations for each province from 2010 to 2017, and 210 observations in total

ISSN: 1475-9276