The spatio-temporal evolution and driving factors of eco-efficiency of resource-based cities in the Yellow River Basin

Xiao, Yan; Tu, Jianjun

doi:10.31497/zrzyxb.20210115

Cited by 20 publications

(22 citation statements)

References 21 publications

(16 reference statements)

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“…In terms of the basic theory, different organizations and scholars have offered different definitions of eco-efficiency. Eco-efficiency was first defined as a type of efficiency that can quantify the relationship between economic growth and environmental impact, and the ratio between them is used to characterize the eco-efficiency level (Yan and Tu, 2021). From a business perspective, the World Business Council for Sustainable Development has defined eco-efficiency as the ability of business firms to obtain maximum value and reduce emission levels with minimum resource input (Carvalhaes et al, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial–Temporal pattern and evolutionary trend of eco-efficiency of real estate development in the yangtze river economic belt

Fan

Deng

et al. 2022

Front. Environ. Sci.

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The eco-efficiency of real estate development (RED) is an important indicator in evaluating the effectiveness of eco-civilization construction. Thus, analyzing its temporal evolution and spatial spillover effect can help to judge the degree of coordinated development between RED and eco-civilization construction in the Yangtze River Economic Belt (YREB). From an ecology-based angle of RED, the data of 108 cities in YREB from 2006 to 2020 were selected. Then, the Super-SBM model, Moran’s I model, and Markov chain model were used to measure the eco-efficiency value of RED and analyze its spatial–temporal evolutionary characteristics. Research results indicate that the eco-efficiency of RED in YREB increased by 7.3%. Differences were apparent in the regional eco-efficiency of RED, but the gap gradually narrowed, and the range decreased from 0.60 to 0.05. A positive spatial autocorrelation was observed in the eco-efficiency of RED, and the high–high (H-H) cluster areas showed a trend of expansion and transfer. The proportion of H-H cluster cities increased from 11 to 20%, whereas the low–low cluster areas showed a trend of small-scale diffusion. The eco-efficiency of RED exhibited consistently stable and “club convergence” characteristics. When the spatial spillover effect is ignored, the eco-efficiency of RED presents at least 55.1% probability to be maintained in the original state. By contrast, when the spatial spillover effect is considered, the probability can be increased, and the assimilation effect of transferring the eco-efficiency of RED can be enhanced. In the future, the overall eco-efficiency of RED in YREB can be improved by exploring new development technologies, establishing collaborative development mechanisms among cities, and adopting eco-protection-oriented reward and punishment policies.

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Section: Literature Reviewmentioning

confidence: 99%

Spatial–Temporal pattern and evolutionary trend of eco-efficiency of real estate development in the yangtze river economic belt

Fan

Deng

et al. 2022

Front. Environ. Sci.

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“…Li et al (2021) measured industrial eco-efficiency with the super-SBM model, analyzed the spatial differentiation characteristics, and investigated the influencing factors of industrial eco-efficiency with an econometric model. Yan and Tu (2021) divided the resourcebased cities in the Yellow River Basin into four types and analyzed the heterogeneity of their ecological efficiency. Chen et al (2021) constructed a MINDs model and explored the spatial difference and dynamic evolution of eco-efficiency using a Dagum-Gini coefficient and kernel density estimation method.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution and Factors Influencing Ecological Efficiency of the Yellow River Basin in China

Guo

Tang

Wang

et al. 2022

Front. Environ. Sci.

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Improving urban ecological efficiency is an integral part of ecological protection and high-quality development of the Yellow River Basin. We used the super-efficiency slacks-based model with unexpected output to measure the ecological efficiency of 62 prefecture-level cities in the Yellow River Basin from 2005 to 2018. Its spatial distribution characteristics and convergence are discussed. The influencing factors and spatial spillovers of the ecological efficiency are assessed through the spatial Dubin model. The results show that: 1) The ecological efficiency is highest in cities in the lower reaches of the Yellow River Basin, mid-level in the upper reaches, and lowest in the middle reaches. 2) There is no σ convergence in the ecological efficiency of the Yellow River Basin, but there is absolute β convergence and conditional β convergence. 3) Economic development, financial development, and technological innovation significantly promote ecological efficiency, and the spatial spillover effects are significant. Increased connection with the outside world can significantly improve ecological efficiency, but there is no apparent spatial spillover effect for these connections. The industrial structure and urbanization rate reduced ecological efficiency and have a significant negative spillover effect. The energy consumption structure reduces the level of ecological efficiency, and the spillover effect is not significant.

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“…The “Ecological protection and high-quality development of the Yellow River Basin” in the “14th Five-Year Plan” has been identified as a major regional development strategy in China, and strategic research results have emerged constantly. Additionally, progress has been made in various fields such as ecological protection [ 24 , 25 ], the industrial economy [ 26 , 27 ] and ecological efficiency [ 28 , 29 ]. The ecosystems of the upper, middle and lower reaches of the Yellow River Basin largely differ.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Characteristics of Trade-Offs and Synergies in Ecosystem Services at Watershed and Landscape Scales: A Case Analysis of the Yellow River Basin (Henan Section)

Niu

Liu

Xiao

et al. 2022

IJERPH

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The changes and interrelationships of ecosystem services at different global and regional scales have been actively investigated. Clarifying the trade-offs and synergies between ecosystem services from a multi-scale scientific perspective is vital to improve the coordinated and sustainable development of the watershed and ecological protection. As an important ecological barrier region of the Yellow River Basin, the Henan section provides a variety of important ecosystem services. This study analyzes the characteristics of land use changes in the Yellow River Basin (Henan section) from 1990 to 2020. Based on the InVEST model, four ecosystem services—water production, soil conservation, carbon storage and food supply have been evaluated. The Spearman correlation coefficient was used to further reveal the spatial and temporal characteristics of the trade-offs and synergies at different levels of each service. The results showed that: (1) From 1990 to 2020, the basin was dominated by farmland conservation. The construction land area mainly exhibited an inflow behavior, while other land use types were mainly related to outflow. (2) From 1990 to 2020, the water yield, soil conservation and carbon storage first increased and then decreased, while food supply gradually increased. The spatial distribution of these ecosystem services was lower in the southwest and slightly higher in the northeast and farmland had the highest capacity of water production and food supply, while woodland had the highest capacity for soil conservation and carbon storage. (3) The Spearman rank correlation coefficient indicated that the trade-offs for the ecosystem services in the Yellow River Basin (Henan section) dominated before 2000, and the synergies gradually strengthened after 2000. (4) There were clear spatial heterogeneities in the ecosystem services of the basin; for instance, the functions in the middle and lower reaches of the Yellow River Basin (Henan section) were mainly trade-offs, while the higher elevations in the middle reaches exhibited synergistic relationships. This study aims to clarify the trade-offs and synergies between ecosystem services at the different levels. Based on our findings, countermeasures and suggestions for ecological protection and management are proposed to promote the coordinated development of social economy and ecological protection.

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The spatio-temporal evolution and driving factors of eco-efficiency of resource-based cities in the Yellow River Basin

Cited by 20 publications

References 21 publications

Spatial–Temporal pattern and evolutionary trend of eco-efficiency of real estate development in the yangtze river economic belt

Spatial–Temporal pattern and evolutionary trend of eco-efficiency of real estate development in the yangtze river economic belt

Spatial Distribution and Factors Influencing Ecological Efficiency of the Yellow River Basin in China

Spatio-Temporal Characteristics of Trade-Offs and Synergies in Ecosystem Services at Watershed and Landscape Scales: A Case Analysis of the Yellow River Basin (Henan Section)

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