Urban Water Inclusive Sustainability: Evidence from 38 Cities in the Yangtze River Economic Belt in China

Gao, Siyu; Guo, Hao; Yu, Jing

doi:10.3390/su13042068

Cited by 7 publications

(5 citation statements)

References 56 publications

(44 reference statements)

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“…Water resources have externality and non-competitiveness, so it is necessary to analyze the harmony between water resources allocation results and the local economy and environment. As shown in Table 4, this paper uses the TOPSIS model with entropy method (Gao et al, 2021), using ve indexes in "General Control Scheme of Water Use in Xinjiang" and water resource satisfaction of allocation results of the cooperative game model, to construct three indexes to evaluate water resource endowment, economic development and environmental friendliness respectively in each region (Table 6). Then use the TOPSIS evaluation method to construct the harmony index of water-economy-environment (HWEE) to analyze the coordination degree of the water resources allocation results in this paper with each region's economy and environment.…”

Section: Discussionmentioning

confidence: 99%

A cooperative game model with bankruptcy theory for water allocation: a case study in China Tarim River Basin

Tian

et al. 2021

Environ Sci Pollut Res

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China Tarim River Basin is located in an arid area, whose rapid socioeconomic development intensi es the current water resources shortage. To allocate water resources reasonably, this paper introduces the bankruptcy theory into the cooperative game model to contract a linear function describing the degree of satisfaction of each region's declared water demand. Bankruptcy theory solves the problem of insu cient information about players in the cooperative game. From the perspective of the cooperative game's stability, the bankruptcy allocation stability index (BASI) is used to evaluate and compare water resource allocation results in the Tarim River Basin in 2025 and 2030 under different scenarios. Moreover, this paper uses the improved TOPSIS model to build the harmony index of water-economy-environment (HWEE) to evaluate the harmony of water resources, economy and environment in each region. The results show that the model is more suitable for the actual water allocation game and has a good application value than the classical bankruptcy theory. Moreover, the stability index and HWEE proposed in this paper also have better applicability, and the allocation scheme with the same game weight in each region is more stable.

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Section: Discussionmentioning

confidence: 99%

A cooperative game model with bankruptcy theory for water allocation: a case study in China Tarim River Basin

Tian

et al. 2021

Environ Sci Pollut Res

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“…Obstacle analysis is often used to quantify the negative impact of various elements on the system and has been widely used to analyze the impact of economic, resource, environmental, and other factors on the healthy development of society (Zhang et al 2019 ; Gao et al 2021 ). We used the obstacle degree model to determine the impact of human activities on nitrogen load growth in the YREB.…”

Section: Methodsmentioning

confidence: 99%

Variations and its driven factors of anthropogenic nitrogen loads in the Yangtze River Economic Belt during 2000–2019

Meng

Guo

Wei

et al. 2022

Environ Sci Pollut Res

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Since the millennium, China has economically taken off with rapid urbanization, and anthropogenic nitrogen emission intensity has undergone remarkable changes. To better understand the impact of urbanization on anthropogenic nitrogen, this study calculated the spatio-temporal heterogeneity of anthropogenic nitrogen in the Yangtze River Economic Belt (YREB) since 2000, based on the estimation, using obstacle analysis to quantify the driving of industry and agriculture on N growth and using the gray model to analyze the impact of urbanization on N changes. Additionally, using the environmental pressure model to predict the future N load. The results indicated N load in the YREB increased rapidly from 21.4 Tg in 2001 to a peak of 24.5 Tg in 2012 and then decreased to 22.2 Tg in 2019. Although N flux gradually increased from the west to the east of the YREB, the growth rate had an opposite trend with a negative growth in the eastern region. Hotspots are mainly concentrated in urban agglomerations, which contributed to ~ 60% N load of the YREB, and the YREB contributed to ~ 90% N load of the Yangtze River Basin. Obstacle degree scores indicated wastewater was a major industrial driver of N growth before 2010, and then became waste gas; increased mechanization and fertilizer control effectively reduced nitrogen emissions during agricultural development. The gray analysis of urbanization indicated urban population, industry, and services had the strongest correlation with N load changes. Scenario simulations suggest N loads of the YREB remain at a high level by 2030; however, there are still opportunities to effectively control N growth through high technological innovation and reducing the proportion of industry under an enormous population. This research contributes to a better understanding of the impact of urbanization on anthropogenic nitrogen and helps developing countries to precisely control nitrogen hotspots and sources. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-022-21943-y.

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“…The CUA also has a highquality ecological substrate, guaranteeing the region's strong ecosystem carbon cycling capacity. In particular, the mean NDVI value in the region increased from 0.712 in 2000 to 0.760 in 2018, which may cause land urbanization to have a neutralizing effect on carbon emissions [51][52][53]. Factors such as land planning, policies, and ecological substrate can considerably limit the amplifying impact of land urbanization on carbon emissions.…”

Section: Driving Effects Of Land Urbanization On Carbon Emissions In ...mentioning

confidence: 99%

Spatial Driven Effects of Multi-Dimensional Urbanization on Carbon Emissions: A Case Study in Chengdu-Chongqing Urban Agglomeration

Chang

Sun

Wei

2022

Land

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Previous studies lacked attention to the spatial heterogeneity of the impact of urbanization on carbon emissions. To fill this knowledge gap, this study analyzed the spatio-temporal variations of carbon emissions (TCE), the per capita carbon intensity (PCI), and the economic carbon intensity (ECI) in the Chengdu-Chongqing urban agglomeration (CUA) based on the Open-Data Inventory for Anthropogenic Carbon dioxide (ODIAC) from 2000–2018. Bivariate spatial autocorrelation, and spatial Durbin models were combined to quantify the spatial correlation and driving mechanisms between carbon emission intensity and multi-dimensional urbanization (population, economic, and land urbanization). The following are the main results: (1) The TCE in CUA increased by 3.918 million tons at an average annual growth of 6.86%; CUA ranked last among China’s national strategic urban agglomerations in terms of TCE, PCI, and ECI. (2) High carbon emission values were concentrated in the Chengdu and Chongqing metropolitan areas, presenting a spatial feature of “Core-Periphery” gradient decay. (3) Nearly 30% of the agglomeration had carbon emission growth at low rates, with the growth cores concentrated in the main urban areas of Chengdu and Chongqing. (4) The “Low-Low” positive correlation was the main correlation type between multi-dimensional urbanization and carbon emissions and was distributed mainly in mountainous areas (e.g., Leshan and Ya’an). (5) Among the urbanization dimensions, the impacts on carbon emissions in local and adjacent areas exhibited varying levels of spatial heterogeneity. Economic urbanization was found to have the strongest positive direct and spillover effects; land urbanization inhibited the growth of carbon emissions in local and adjacent areas; population urbanization promoted carbon emission reduction in adjacent areas. Our findings provide support for CUA to carry out cross-city joint governance strategies of carbon emissions, also proving that regional carbon emission reduction should be an integration of various efforts including low-carbon living of residents, green transformation of economy and optimal land management.

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Urban Water Inclusive Sustainability: Evidence from 38 Cities in the Yangtze River Economic Belt in China

Cited by 7 publications

References 56 publications

A cooperative game model with bankruptcy theory for water allocation: a case study in China Tarim River Basin

A cooperative game model with bankruptcy theory for water allocation: a case study in China Tarim River Basin

Variations and its driven factors of anthropogenic nitrogen loads in the Yangtze River Economic Belt during 2000–2019

Spatial Driven Effects of Multi-Dimensional Urbanization on Carbon Emissions: A Case Study in Chengdu-Chongqing Urban Agglomeration

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