中国资源型城市生态系统服务价值评价——基于Meta模型视角

doi:10.12118/j.issn.1000-6060.2022.081

Abstract

Abstract:

Resource-based cities are sources of basic energy and important raw materials. However, due to the decline of resources and the lack of overall planning, these cities are facing significant pressure, for instance, economic structure imbalance and significant ecological challenges. Therefore, cost-benefit analysis has significant directive meaning for improving the living environment of resource-based cities and solving their ecological problems. By reviewing the relevant literature, collecting results related to the value evaluation of resource-based cities’ ecosystem services, and then establishing a value transfer database, a Meta-analysis model is applied to evaluate the ecosystem service value of resource-based cities from the perspective of urban residents’ willingness to pay for service per household, evaluate the effectiveness of the model in value transfer outside the sample, and then explore the feasibility of the Meta-analysis method in the field of ecosystem service value evaluation of resource-based cities. The findings are as follows: (1) The value of ecosystem service characteristic variables is high, which has a significant impact on ecosystem services in resource-based cities. (2) In addition to forest resources, the value of ecosystem services obtained from environmental resources with other natural characteristic variables is low. (3) The higher the income of urban residents, the stronger their ability to pay for services. For the choice of payment method, people prefer to use donation or entrance fee. (4) The park ecosystem service value ranges from 17.9026 million yuan to 310.16 million yuan, and it is ranked from high to low in the east, middle, and west China. Based on the above research results, political suggestions are given as follows. First, increase the forest area of the resource-based cities and improve the output of ecological benefits, as well as the property rights system and ecological compensation system. As a result, the service function of the ecosystem is increased. Second, scientifically arrange the layout of urban park green space, and increase the park area of resource-based cities. Finally, increase the disposable income of urban and rural residents, provide multiple voluntary payment methods such as donations and entry fees, to enhance people’s willingness to pay and enhance the value of urban ecosystem services.

Key words: resource-based cities, ecosystem services, value transfer, stated preference approach, Meta analysis

XIE Maohua, SUN Jiawen, LIU Tiexin. Evaluation of ecosystem service value of resource-based cities in China: Based on the perspective of Meta model[J].Arid Land Geography, 2022, 45(6): 1949-1957.

Figures/Tables 3

Tab. 1

Tab. 2

Meta regression results"

特征变量	变量	模型1		模型2
特征变量	变量	非标准化系数	标准误	非标准化系数	标准误
	常数项	-0.984	1.964	-2.058	1.953
研究对象和方法	人均地区生产总值	0.597^***	0.177	0.705^***	0.187
	面积	-0.003	0.032	-0.063	0.041
	税收	-1.216^***	0.331	-1.435^***	0.378
	捐款	1.068^***	0.243	0.789^***	0.258
	入门费	0.303	0.230	0.728^***	0.254
	选择实验	-1.278^**	0.344	-1.477^***	0.395
	二分式条件价值评估	0.121	0.260	-0.156	0.251
	开放式条件价值评估	0.122	0.240	0.330	0.274
自然类型	森林	0.133	0.311	0.050	0.360
	公园	-0.077	0.230	-0.177	0.268
	湖泊	-0.558^**	0.271	-0.413	0.354
	湿地	-0.673^***	0.243	-0.878^***	0.290
生态系统服务	供给	-	-	0.483^**	0.240
	气候调节	-	-	0.360	0.384
	生物多样性	-	-	0.090	0.393
	娱乐	-	-	-0.142	0.238
	$F$ 统计量	7.028		7.715
	$R 2$	0.520		0.619
	样本量	93		93

Tab. 2

Tab. 3

城市	价值	城市	价值	城市	价值
张家口市	13028.86	徐州市	31016.00	娄底市	12219.50
承德市	10664.24	宿迁市	14125.03	韶关市	8558.93
唐山市	27756.72	湖州市	11139.82	云浮市	5391.74
邢台市	14280.41	宿州市	11746.10	百色市	7582.88
邯郸市	17456.79	淮北市	5633.75	河池市	6560.18
大同市	8623.26	亳州市	9623.60	贺州市	4120.47
朔州市	6922.55	淮南市	7763.92	广元市	7184.68
阳泉市	4893.89	滁州市	11341.68	南充市	15940.45
长治市	10147.25	马鞍山市	9132.47	广安市	11329.60
晋城市	8279.61	铜陵市	6319.27	自贡市	9126.56
忻州市	8700.99	池州市	4502.32	泸州市	11040.11
晋中市	10236.36	宣城市	8973.09	攀枝花市	5117.50
临汾市	10015.16	南平市	10479.48	达州市	14344.37
运城市	10209.73	三明市	11108.14	雅安市	4692.12
吕梁市	10904.52	龙岩市	13334.64	六盘水市	9930.51
包头市	12168.97	景德镇市	4810.37	安顺市	6245.52
乌海市	2197.08	新余市	5297.72	毕节市	13645.97
赤峰市	12751.16	萍乡市	5596.54	曲靖市	13428.47
呼伦贝尔市	9904.62	赣州市	16878.74	保山市	4891.24
鄂尔多斯市	14312.04	宜春市	13970.65	昭通市	7766.40
阜新市	3638.96	东营市	14626.29	丽江市	2466.35
抚顺市	7214.42	淄博市	21147.94	普洱市	4783.39
本溪市	4814.68	临沂市	27643.13	临沧市	4812.17
鞍山市	10068.47	枣庄市	11963.06	延安市	9803.70
盘锦市	5876.40	济宁市	25320.11	铜川市	2184.98
葫芦岛市	6413.92	泰安市	19563.74	渭南市	11408.89
松原市	9409.33	莱芜市	5229.65	咸阳市	12944.18
吉林市	13964.28	三门峡市	8100.99	宝鸡市	11333.89
辽源市	4271.01	洛阳市	22072.62	榆林市	21117.75
通化市	6380.81	焦作市	10673.86	金昌市	1790.26
白山市	5925.13	鹤壁市	4560.03	白银市	3579.07
黑河市	5038.26	濮阳市	9877.69	武威市	3540.61
大庆市	14514.06	平顶山市	12363.72	张掖市	2953.25
伊春市	2787.86	南阳市	24311.68	庆阳市	5687.41
鹤岗市	2765.79	鄂州市	5412.43	平凉市	3189.09
双鸭山市	4622.71	黄石市	8082.38	陇南市	3520.03
七台河市	2388.39	衡阳市	18399.96	石嘴山市	3343.04
鸡西市	4834.32	郴州市	15633.93	克拉玛依市	2412.51
牡丹江市	9064.62	邵阳市	13055.45

Tab. 3

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变量名称	变量特征	变量	解释	均值	标准差
被解释变量	价值特征	生态系统服务价值	户均支付意愿/元·a^-1	5.42	0.490
解释变量	研究对象和方法	人均地区生产总值	人均地区生产总值/元	10.87	0.278
		面积	自然面积大小/hm²	10.65	1.566
		税收	支付工具是否为税收：是=1，否=0	0.16	0.210
		捐款	支付工具是否为捐款：是=1，否=0	0.29	0.261
		入门费	支付工具是否为入门费：是=1，否=0	0.31	0.265
		其他方式	参照组	0.52	0.286
		选择实验	研究方法是否为选择实验：是=1，否=0	0.07	0.143
		二分式条件价值评估	研究方法是否为二分式条件价值评估：是=1，否=0	0.08	0.158
		开放式条件价值评估	研究方法是否为开放式条件价值评估：是=1，否=0	0.13	0.194
		支付卡式条件价值评估	参照组	0.70	0.262
	自然类型	森林	城市自然类型是否为森林：是=1，否=0	0.07	0.142
		公园	城市自然类型是否为公园：是=1，否=0	0.20	0.229
		湖泊	城市自然类型是否为湖泊：是=1，否=0	0.19	0.223
		湿地	城市自然类型是否为湿地：是=1，否=0	0.13	0.191
		其他自然类型	参照组	0.42	0.283
	生态系统服务类型	供给	生态系统服务是否包括供给服务：是=1，否=0	0.72	0.258
		气候调节	生态系统服务是否包括调节服务：是=1，否=0	0.64	0.275
		生物多样性	生态系统服务是否包括生物多样性服务：是=1，否=0	0.59	0.282
		娱乐	生态系统服务是否包括娱乐服务：是=1，否=0	0.51	0.286

Evaluation of ecosystem service value of resource-based cities in China: Based on the perspective of Meta model

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