黄河中下游沿线城市水资源利用效率的时空演变及影响因素

doi:10.13249/j.cnki.sgs.2020.11.018

地理科学 ›› 2020, Vol. 40 ›› Issue (11): 1930-1939.doi: 10.13249/j.cnki.sgs.2020.11.018

黄河中下游沿线城市水资源利用效率的时空演变及影响因素

巩灿娟¹(), 徐成龙², 张晓青³^,^*()

1.山东师范大学经济学院，山东济南 250358
2.临沂大学商学院，山东临沂 276005
3.山东师范大学地理与环境学院，山东济南 250358

收稿日期:2020-01-11 修回日期:2020-04-12 出版日期:2020-11-10 发布日期:2020-12-04
通讯作者: 张晓青 E-mail:gongcanjuan2008@126.com;zxq1606@163.com
作者简介:巩灿娟（1989−），女，山东新泰人，博士研究生，主要从事区域可持续发展研究。E-mail: gongcanjuan2008@126.com
基金资助:
国家自然科学基金项目（41871121）、教育部人文社会科学基金项目(16YJCZH123)、山东省社会科学基金项目（18CCZJ19）、东营市市校院所合作专项资金项目资助

Spatio-temporal Evolution and Influencing Factors of Water Resources Utilization Efficiency of Cities Along the Middle and Lower Reaches of the Yellow River

Gong Canjuan¹(), Xu Chenglong², Zhang Xiaoqing³^,^*()

1. School of Economics, Shandong Normal University, Jinan 250358, Shandong, China
2. School of Business, Linyi University, Linyi 276005, Shandong, China
3. College of Geography and Environment, Shandong Normal University, Jinan 250358, Shandong, China

Received:2020-01-11 Revised:2020-04-12 Online:2020-11-10 Published:2020-12-04
Contact: Zhang Xiaoqing E-mail:gongcanjuan2008@126.com;zxq1606@163.com
Supported by:
National Natural Science Foundation of China (41871121), Humanities and Social Sciences Foundation of Ministry of Education of China (16YJCZH123), Social Science Foundation of Shandong Province (18CCZJ19), Special Fund Project for Cooperation Between Municipal Colleges and institutions

摘要/Abstract

摘要：

采用超效率DEA模型、GIS空间分析方法、动态面板的系统GMM估计方法对2010—2017年黄河中下游沿线城市水资源利用效率时空格局及影响因素进行分析，结果表明：① 黄河中下游沿线城市水资源利用效率整体由2010年的0.70波动下降为2017年的0.67，且区域内70%以上的城市水资源利用效率变动趋势与其一致；② 黄河中下游沿线城市水资源利用效率呈“U”型区域两侧相对较高，中间区域相对较低的空间分布态势，且空间分布重心始终位于地理重心的北方；③ 环境规制、经济发展水平、产业结构优化、技术水平对水资源利用效率呈显著正向影响，农田水利设施建设、城镇化对水资源利用效率呈显著负向影响。研究结论可为黄河流域生态保护与高质量发展的推进提供决策支持。

关键词: 水资源利用效率, 高质量发展, 系统GMM估计, 黄河中下游沿线城市

Abstract:

Water was the basic resource for human survival and the decisive factor for regional economic development. The improving of the water resources utilization efficiency was an important way to solve the water crisis and promote regional high quality development. The super efficiency DEA model was used to measure the water resources utilization efficiency of cities along the middle and lower reaches of the Yellow River from 2010 to 2017. GIS spatial analysis method was applied to probe into the spatial and temporal evolution of water resources utilization efficiency. System GMM estimation in Dynamic Panel was used to quantitatively measure the influence of different factors on water resources utilization efficiency. The conclusions are as follows: 1) In time sequence, water resources utilization efficiency of cities along the middle and lower reaches of the Yellow River decreased with fluctuation, the average value of efficiency decreased from 0.7 in 2010 to 0.67 in 2017. Water resources utilization efficiency went on a fluctuated downward trend in more than 70% cities in the region, consistent with that of cities along the middle and lower reaches of the Yellow River. The situation of inefficient utilization of water resources in cities along the middle and lower reaches of the Yellow River was still serious, and the water resources utilization efficiency needed to be improved urgently. 2) The spatial pattern of water resources utilization efficiency of cities along the middle and lower reaches of the Yellow River was basically stable. The water resources utilization efficiency along the both sides of the U-shaped region was relatively high, while that of the middle region was relatively low. The spatial distribution center of water resources utilization efficiency always located in the north of geographical center. 3) Environmental regulation, economic development level, industrial structure optimization and technical level all had a significant positive impact on water resources utilization efficiency, while farmland water conservancy facilities construction and urbanization level had a significant negative impact on water resources utilization efficiency. In the future, cities along the middle and lower reaches of the Yellow River should continue to improve the economic, environmental and technological policies conducive to the improvement of water resources utilization efficiency, and pay more attention to improving the water-saving technology level of farmland water conservancy facilities and the development quality of the New Type of urbanization. The above conclusions can provide decision supports for ecological protection and high-quality development of the Yellow River Basin.

Key words: water resources utilization efficiency, high-quality development, system GMM estimation, cities along the middle and lower reaches of the Yellow River

中图分类号:

F 205

巩灿娟, 徐成龙, 张晓青. 黄河中下游沿线城市水资源利用效率的时空演变及影响因素[J]. 地理科学, 2020, 40(11): 1930-1939.

Gong Canjuan, Xu Chenglong, Zhang Xiaoqing. Spatio-temporal Evolution and Influencing Factors of Water Resources Utilization Efficiency of Cities Along the Middle and Lower Reaches of the Yellow River[J]. SCIENTIA GEOGRAPHICA SINICA, 2020, 40(11): 1930-1939.

图/表 6

Fig.1

Table 1

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Fig.4

Table 2

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城市	2010年	2011年	2012年	2013年	2014年	2015年	2016年	2017年
呼和浩特市	0.99	1.03	0.98	0.99	0.84	1.00	0.99	1.05
鄂尔多斯市	0.96	1.00	1.18	0.97	0.98	1.02	0.97	0.82
渭南市	0.48	0.53	0.56	0.46	0.46	0.39	0.38	0.36
延安市	0.69	0.74	0.76	0.62	0.64	0.51	0.46	0.61
榆林市	0.98	0.99	1.13	1.14	1.05	1.02	0.91	1.05
运城市	0.52	0.63	0.60	0.52	0.46	0.43	0.48	0.49
忻州市	0.48	0.49	0.44	0.41	0.37	0.36	0.35	0.41
临汾市	0.70	0.77	0.61	0.53	0.47	0.43	0.46	0.49
吕梁市	0.87	1.11	1.06	0.85	0.64	0.57	0.59	0.85
郑州市	0.64	0.71	0.68	0.66	0.62	0.57	0.70	0.74
开封市	0.66	0.59	0.58	0.55	0.54	0.53	0.58	0.65
洛阳市	0.63	0.66	0.67	0.61	0.57	0.54	0.57	0.62
新乡市	0.42	0.53	0.53	0.45	0.43	0.44	0.50	0.52
焦作市	0.57	0.63	0.59	0.54	0.51	0.48	0.48	0.49
濮阳市	0.51	0.56	0.53	0.49	0.49	0.47	0.49	0.52
三门峡市	0.59	0.61	0.57	0.53	0.49	0.44	0.44	0.50
济南市	0.90	1.03	0.99	0.89	0.89	0.86	0.87	0.90
淄博市	0.85	0.85	0.82	0.74	0.73	0.70	0.69	0.75
东营市	0.81	0.90	0.76	0.72	0.69	0.65	0.77	0.84
济宁市	0.71	0.79	0.72	0.67	0.66	0.65	0.65	0.68
泰安市	0.75	0.69	0.66	0.66	0.63	0.60	0.61	0.66
德州市	0.64	0.76	0.75	0.67	0.64	0.62	0.60	0.63
聊城市	0.76	0.79	0.78	0.72	0.68	0.65	0.64	0.67
滨州市	0.71	0.74	0.69	0.62	0.60	0.56	0.57	0.61
菏泽市	0.71	0.89	1.19	0.93	0.91	0.88	0.88	0.95

变量	模型1	模型2	模型3	模型4
注：、*分别代表5%，1%的水平上显著；（）内数值为标准差；“—”代表不包括该变量。
WUE_t–₁	0.6053***（0.0149）	0.5983***（0.0114）	0.6101***（0.0140）	0.6022***（0.0113）
ER	0.0532***（0.0102）	0. 0574***（0.0065）	—	—
ER₁	—	—	0.1084***（0.0215）	0.1196***（0.0149）
ED	0.1040***（0. 0169）	0. 0680***（0.0215）	0.1063***（0.0153）	0.0681***（0.0210）
AS	?0.0320***（0. 0029）	?0.0327***（0.0027）	?0.0314***（0.0025）	?0.0323***（0.0027）
TL	0.0207***（0. 0065）	—	0.0207***（0.0064）	—
TL₁	—	0.0020***（0.0003）	—	0.0020***（0.0003）
UR	?0.0119***（0. 0010）	?0.0112***（0.0010）	?0.0117***（0.0011）	?0.0112***（0.0010）
WF	?0.0037***（0.0006）	?0.0034***（0.0009）	?0.0039***（0.0007）	?0.0034***（0.0009）
常数	0.134（0.1869）	0.4994**（0.2207）	0.0984（0.1607）	0.4913**（0.2150）
Sargan	0.2776	0.3367	0.2764	0.3368
AR（2）	0.1275	0.1281	0.1291	0.1298
观测值	175	175	175	175
样本量	25	25	25	25

黄河中下游沿线城市水资源利用效率的时空演变及影响因素

Spatio-temporal Evolution and Influencing Factors of Water Resources Utilization Efficiency of Cities Along the Middle and Lower Reaches of the Yellow River

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