A Comprehensive Evaluation Framework of Water-Energy-Food System Coupling Coordination in the Yellow River Basin, China

Yin, Dengyu; Yu, Haochen; Lu, Yanqi; Zhang, Jian; Li, Gensheng; Li, Xiaoshun

doi:10.1007/s11769-023-1344-2

Cited by 12 publications

(7 citation statements)

References 35 publications

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“…The intra-regional differences across scales are ordered as follows: urban agglomeration < prefecture < county. This is consistent with prior research [37]. We highlight the stages and heterogeneity of the coupling coordination of the two systems in the multi-scale coupling and coordination development of urban agglomerations, prefectures, and counties.…”

Section: Discussionsupporting

confidence: 90%

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The coupling relationship and driving mechanism between urbanization and ecosystem services in the Yellow River Basin from a multi-spatial scale perspective

Zhang,

Liu

et al. 2023

PLoS ONE

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Rapid urbanization has led to ecological destruction and associated issues. Macro policies wield substantial influence over urbanization and its relationship with the environment. Without considering the differences in scale, macro policies may be ineffective at addressing urbanization’s adverse impacts on the environment, and even worsen this relationship. We used data on 622 counties, 76 prefectures, and 7 urban agglomerations in the Yellow River Basin to examine the development level, coupling coordination degree, and spatial patterns of urbanization and ecosystem services at three scales during 2000–2020. Further, we explored the driving mechanisms in the relationship between urbanization and ecosystem services. We found that: First, the coupling coordination was relatively low but showed an upward trend. A sizeable spatiotemporal difference existed, with higher (lower) coordination in the east (west). Second, the coupling coordination of each scale exhibited significant spatial positive correlations. The low-value heterogeneous region was embedded around the agglomeration region, and polarization was significant. The larger the scale, the stronger the agglomeration effect. Further, the coupling coordination spatial agglomeration effect of each scale gradually weakened over time. Third, the spatial and temporal distributions of coupling coordination and its agglomeration characteristics at different scales differed. The urban agglomeration scale showed significant overall coordination or agglomeration characteristics, and prefecture and county regions showed local and unique characteristics within urban agglomerations. Fourth, the dominant factors influencing the spatial patterns of the coupling coordination at the county, prefecture, and urban agglomeration scales differed. The interaction and factor detection showed linear and double-factor enhancements. We find that economic development, government policies, environmental protection, and natural factors are the combined effects of urbanization and ecosystem services. Our research method can provide a reference for other river basins, and the results can help governments in formulating policies for sustainable development at different spatial scales.

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Section: Discussionsupporting

confidence: 90%

“…α and β are the contribution of urbanization and ecosystem services, respectively; we set α = β = 0.5. Following existing research [14,37], we divide the CCD into severe disorder, mild disorder, moderate, coordination, and superior coordination at intervals of 0.4, 0.6, and 0.7 coordination levels.…”

Section: Coupling Coordination Degree Modelmentioning

confidence: 99%

The coupling relationship and driving mechanism between urbanization and ecosystem services in the Yellow River Basin from a multi-spatial scale perspective

Zhang,

Liu

et al. 2023

PLoS ONE

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“…In contrast, other scholars use composite systems as evaluation objects to illustrate the relationship between the system or the various components that affect its operation. It includes water-energyfood, marine biopharmaceutical industry, multifunctional, complex land ecosystems, and economic development-social Frontiers in Environmental Science frontiersin.org development-government governance (Fu et al, 2023;Hu et al, 2023;Yin et al, 2023;Zhang et al, 2023;Zhao and Shi, 2023). Liu and Yang (2023) calculated the coupling coordination of forest ecology, economy, and social systems (Liu and Yang, 2023), but taking Changsha City as an example, the research area is relatively small.…”

Section: Discussionmentioning

confidence: 99%

Coupling coordination relationship of forestry industry development and ecological environment: evidence from Heilongjiang Province

Zhang,

Kou,

Gao

2024

Front. Environ. Sci.

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China’s economy has entered a new period of transformation, and the development of various industries will become the backbone of promoting economic sectors. At the same time, it will also become a booster for promoting the transformation and development of various industries. As an essential component of China’s economic construction, forestry will also enter a critical period of transformation. However, because the forestry industry mainly relies on forest resources as production factors, there is a certain contradiction between the forestry industry development and the ecological environment. Therefore, taking Heilongjiang Province as an example, this paper applies the PSR model to explain the mechanism of the relationship between forestry industry development and the ecological environment. The PSR model mainly consists of three indicators: Pressure, State, and Response, which analyze the interrelationships between elements within the system. On the other hand, the coupling coordination model is applied to analyze the coupling coordination relationship between the forestry industry development and the ecological environment in Heilongjiang Province from 2011 to 2018. The results show that the development of the forestry industry puts pressure on the ecological environment. At the same time, the environmental climate also imposes restrictions and constraints on the development of the forestry industry. The two promote, influence, and constrain each other. The development of the forestry industry was antagonistic, running in, coupled, and coordinated with the ecological environment in Heilongjiang Province from 2011 to 2018. However, there is still a particular gap in the level of coupling and coordination between the two, and they have yet to reach a state of good coordinated development. Therefore, Heilongjiang Province can promote the coordinated development of its forestry industry and the ecological environment through innovative forestry industry transformation models, policy-oriented rational development and utilization of forest resources, environmentally constrained clean production of the forestry industry, and complementary and shared development of the forestry industry and ecological environment.

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“…In terms of relevant thematic studies centering on the Yellow River Basin, Dengyu Yin et al established a coupled coordination framework for the WEF system in this region. They explored the spatiotemporal characteristics and driving mechanisms of coupled coordination [29]. Haiyan Gao et al directed their attention to the middle and upper reaches of the basin and, based on the perspective of sustainable development of the agricultural system, they evaluated the current status of the WEF-N regarding the reliability, coordination, and resilience [30].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evolution Characteristics and Driving Factors of Water-Energy-Food-Carbon System Vulnerability: A Case Study of the Yellow River Basin, China

Tong,

Luo

2024

Sustainability

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With the growing influences of anthropogenic activities and climatic change, the problem concerning the vulnerability of the Water-Energy-Food-Carbon (WEFC) system in the Yellow River Basin is prominent. Using the VSD framework, the WEFC system vulnerability evaluation index system was constructed with 60 cities in the Yellow River Basin as the samples, and the WEFC system vulnerability of each city was measured from 2010 to 2019. Kernel density estimation, Theil index, and spatial correlation analysis were employed to investigate spatio-temporal evolution characteristics. Geodetector was utilized to analyze the driving factors of WEFC system vulnerability. The results demonstrate that: (1) The vulnerability of the WEFC system in the Yellow River Basin tends to decrease, with a spatial pattern of “low in the middle and high on both sides”; the vulnerability is largest in the upper and lower reaches, while smallest in the middle reaches. (2) The spatial difference in vulnerability narrows in the middle and lower reaches, while expanding in the upper reaches. The differences among the three major regions mainly originate from within the region, with the upper reaches having the largest difference and contribution; the vulnerability is featured with a significant spatial correlation, with the upper and lower reaches cities mostly displaying a “high-high” agglomeration and the middle reaches mainly showing a “low-low” one. (3) Factors, including the carbon and ecological carrying capacity coefficient, water resource development and utilization rate, and urbanization rate, mainly influence the WEFC system vulnerability; the spatial heterogeneity of core drivers at the regional scale is obvious, with the upper reaches regions being more strongly influenced by factors of the water resources system, while the middle and lower reaches regions are more sensitive to factors concerning industrial pollution of the energy subsystem. The explanatory power of carbon ecological carrying capacity reaches its peak in the middle reaches. The interaction of factors increases the strength of the impact on vulnerability. This study provides decision support and policy suggestions for achieving a balanced and coordinated development of water resource utilization, energy development, food production, and carbon cycle system in the Yellow River Basin. Investigating WEFC system vulnerability to support SDG 11 provided valuable insights and policy strategies for building cities that are inclusive, secure, resource-efficient, and resilient in the face of climate change and disaster risks.

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A Comprehensive Evaluation Framework of Water-Energy-Food System Coupling Coordination in the Yellow River Basin, China

Cited by 12 publications

References 35 publications

The coupling relationship and driving mechanism between urbanization and ecosystem services in the Yellow River Basin from a multi-spatial scale perspective

The coupling relationship and driving mechanism between urbanization and ecosystem services in the Yellow River Basin from a multi-spatial scale perspective

Coupling coordination relationship of forestry industry development and ecological environment: evidence from Heilongjiang Province

Spatiotemporal Evolution Characteristics and Driving Factors of Water-Energy-Food-Carbon System Vulnerability: A Case Study of the Yellow River Basin, China

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