Recreational Value Assessment of Urban Productive Landscape of Baguatian in Hangzhou Based on Contingent Valuation Method (CVM) and Cloud Computing

Table 1

Basic information of samples.

Factors	Category	Frequency	Percentage	Factors	Category	Frequency	Percentage
Gender	Male	165	44.9	Occupational background	Administrative and public institutions	30	8.2
	Female	202	55.1		Enterprises (including state-owned enterprises, foreign enterprises, and private enterprises)	33	9.1
Age	20 and below	27	7.3		Other provinces in China	116	31.7
	21 to 40	204	55.5		Ordinary enterprise staffs	5	1.3
	41 to 60	106	28.8		Peasants	91	24.9
	61 and above	30	8.1		Freelancers	91	24.9
Educational background	Junior high school and below	32	8.7		Students	60	16.2
	Senior high school/college degree	82	22.3		The emeritus and retired	32	8.6
	Higher vocational college	122	33.3	Origin	Hangzhou city	265	72.6
	Bachelor’s degree	104	28.4		Zhejiang Province	62	16.9
	Master’s degree and above	27	7.3		Other provinces in China	38	10.5
Monthly income level	2000 and below	66	17.9	Residence	Abroad	0	0
	2001 to 4000	67	18.3		Urban	297	80.9
	4001 to 6000	101	18.3		Suburban	64	17.4
	6000 to 8000	55	14.9		Rural	6	1.6
	8000 to 10000	41	11.2
	Above 10000	37	10.1

Data source: investigation data.