Research on Incentive Policy Evaluation of Prefabricated Buildings Based on Grey Relational Analysis

Table 8

Evaluation coefficient results of incentive policy for prefabricated buildings in 2016–2018.

Years	Province				Rank
2016	Zhejiang	0.656463	0.585714	0.528478	1
	Hubei	0.5	0.690476	0.42	4
	Sichuan	0.571429	0.723810	0.441176	3
	Hainan	0.561224	0.680952	0.451807	2
2017	Beijing	0.452603	0.627603	0.418997	19
	Tianjin	0.508246	0.613531	0.453072	17
	Hebei	0.596524	0.501286	0.543376	11
	Shanxi	0.617914	0.503863	0.550835	10
	Inner mongolia	0.556318	0.485792	0.533838	13
	Jilin	0.569004	0.498478	0.533034	14
	Liaoning	0.462593	0.604927	0.433334	18
	Shanghai	0.428571	0.904762	0.321429	27
	Jiangsu	0.423521	0.723665	0.369182	21
	Zhejiang	0.673469	0.487845	0.579920	6
	Anhui	0.419501	0.834166	0.334619	24
	Shandong	0.624106	0.524485	0.543367	12
	Guangdong	0.746032	0.541126	0.579596	7
	Guangxi	0.658050	0.439760	0.599420	5
	Hainan	0.460317	0.688312	0.400754	20
	Fujian	0.854875	0.365301	0.700616	1
	Henan	0.412698	0.779221	0.346247	22
	Hubei	0.399245	0.770150	0.341412	23
	Hunan	0.547928	0.529115	0.508734	16
	Jiangxi	0.389721	0.817770	0.322753	26
	Chongqing	0.382395	0.858586	0.308140	28
	Sichuan	0.391919	0.810967	0.325816	25
	Guizhou	0.676871	0.403297	0.626635	3
	Yunnan	0.607710	0.494705	0.551253	9
	Shaanxi	0.648526	0.487379	0.570933	8
	Gansu	0.556174	0.533555	0.510378	15
	Qinghai	0.709380	0.447330	0.613273	4
	Ningxia	0.799320	0.381319	0.677023	2
2018	Chongqing	0.619048	0.714286	0.464286	2
	Guangxi	0.547619	0.738095	0.425926	3
	Shandong	0.714286	0.619048	0.535714	1
	Tianjin	0.404762	0.785714	0.340000	4