A comparative study on urban land use eco-efficiency of Yangtze and Yellow rivers in China: From the perspective of spatiotemporal heterogeneity, spatial transition and driving factors

被引:42
作者
Chen, Qian [1 ,2 ]
Zheng, Liang [3 ,4 ]
Wang, Ying [1 ,2 ,5 ]
Wu, Di [1 ,2 ]
Li, Jiangfeng [1 ]
机构
[1] China Univ Geosci, Sch Publ Adm, Dept Land Resource Management, Wuhan 430074, Peoples R China
[2] Minist Nat Resources Legal Res, Key Lab, Wuhan 430074, Peoples R China
[3] Changjiang Inst Survey Planning Design & Res, Wuhan 430014, Peoples R China
[4] Minist Water Resources, Key Lab Changjiang Regulat & Protect, Wuhan 430014, Peoples R China
[5] China Univ Geosci, Sch Publ Adm, 388 Lumo Rd, Wuhan 430074, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Urban land use eco-efficiency; Regional differences; Driving factors; Yangtze River Economic Belt; Yellow River Basin; ENVIRONMENTAL-REGULATION; PORTER HYPOTHESIS; AGGLOMERATION; URBANIZATION; INTEGRATION; DYNAMICS; IMPACT; DELTA;
D O I
10.1016/j.ecolind.2023.110331
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Increasing urban land use eco-efficiency (ULUEE) is conducive to alleviating the human-land conflict in cities, especially in densely populated and ecologically sensitive areas. ULUEE research in the past has been less focused on different river basins from a comparative perspective, and largely ignored the regional heterogeneity in driving factors. Thus, this study aims to compare the spatiotemporal dynamics and driving factors of ULUEE in the Yangtze River Economic Belt (YREB) and Yellow River Basin (YRB) in China. The ULUEE was first evaluated using the Slack Based Model-Undesirable, and then the Theil Index and spatial Markov Chain were used to reveal the differential changes and shifting direction of the ULUEE, followed by an analysis of the driving factors of different segments of different river basins and sized cities using the Tobit model. Results show that: (1) in both YREB and YRB, the ULUEE shows the characteristic of "lower reaches > middle reaches > upper reaches", however, notable differences in Theil index values are evident among basins and basin segments. (2) ULUEE exhibits spillovers and convergence phenomena during its spatial variations. (3) There is a significant U-shaped relationship between ULUEE and GDP in the whole basin and different segments of YREB, but only in the middle and lower reaches of YRB. Additionally, urban spatial form and environmental regulations have heterogeneous impacts on ULUEE in different-sized cities. In order to maintain sustainability in urban land resource manage-ment and coordinate city development of varying sizes, governments must take a systematic approach that ac-counts for the complexity of spatial characteristics and drivers of ULUEE.
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页数:13
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共 69 条
[1]   Landscape metrics in the analysis of urban land use patterns: A case study in a Spanish metropolitan area [J].
Aguilera, Francisco ;
Valenzuela, Luis M. ;
Botequilha-Leitao, Andre .
LANDSCAPE AND URBAN PLANNING, 2011, 99 (3-4) :226-238
[2]   The Porter Hypothesis at 20: Can Environmental Regulation Enhance Innovation and Competitiveness? [J].
Ambec, Stefan ;
Cohen, Mark A. ;
Elgie, Stewart ;
Lanoie, Paul .
REVIEW OF ENVIRONMENTAL ECONOMICS AND POLICY, 2013, 7 (01) :2-22
[3]   Exploring regional land use dynamics under shared socioeconomic pathways: A case study in Inner Mongolia, China [J].
Bai, Yuping ;
Deng, Xiangzheng ;
Cheng, Yunfei ;
Hu, Yecui ;
Zhang, Lijin .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 166
[4]   Regional integration: an empirical assessment of Russia [J].
Berkowitz, D ;
DeJong, DN .
JOURNAL OF URBAN ECONOMICS, 2003, 53 (03) :541-559
[5]   Spatial-temporal characteristics of cultivated land use eco-efficiency under carbon constraints and its relationship with landscape pattern dynamics [J].
Cao, Wei ;
Zhou, Wen ;
Wu, Tao ;
Wang, Xiaochun ;
Xu, Jinhai .
ECOLOGICAL INDICATORS, 2022, 141
[6]   Building in or out? Examining urban expansion patterns and land use efficiency across the global sample of 466 cities with million plus inhabitants [J].
Chakraborty, Saurav ;
Maity, Indranil ;
Dadashpoor, Hashem ;
Novotny, Josef ;
Banerji, Suranjana .
HABITAT INTERNATIONAL, 2022, 120
[7]   Spatiotemporal differentiation of urban-rural income disparity and its driving force in the Yangtze River Economic Belt during 2000-2017 [J].
Chen, Lingling ;
Shen, Wei .
PLOS ONE, 2021, 16 (02)
[8]   Impact of urbanization on the thermal environment of the Chengdu-Chongqing urban agglomeration under complex terrain [J].
Chen, Si ;
Xie, Zhenghui ;
Xie, Jinbo ;
Liu, Bin ;
Jia, Binghao ;
Qin, Peihua ;
Wang, Longhuan ;
Wang, Yan ;
Li, Ruichao .
EARTH SYSTEM DYNAMICS, 2022, 13 (01) :341-356
[9]   Urbanization and ecosystem services: The multi-scale spatial spillover effects and spatial variations [J].
Chen, Wanxu ;
Chi, Guangqing .
LAND USE POLICY, 2022, 114
[10]   Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China [J].
Cheng, Yongyi ;
Shao, Tianyuan ;
Lai, Huilin ;
Shen, Manhong ;
Li, Yi .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (20)