Urban Eco-Efficiency and Its Influencing Factors in China Based on the Two-Stage Super-NEBM Model

Ma, Hongzhi; Han, Yutong; Lv, Keke; Bi, Manyu; Zhong, Yanfei

doi:10.3390/systems10060217

Cited by 6 publications

(4 citation statements)

References 38 publications

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“…Since then, many scholars have started to conduct studies using this approach, for example, Hou et al [64] and Xia and Li [60] decomposed EWP into ecological economic efficiency and economic welfare efficiency. However, they usually only remain in a two-stage research paradigm [65][66][67][68]. The closest to the idea of this study is that of Zhang et al [69], who measured eco-efficiency, eco-technological innovation, and eco-welfare performance in 102 countries, however, they still failed to link all three into the same framework.…”

Section: The Connection Of Ecology Economy Innovation and Wellbeingmentioning

confidence: 89%

What Is the State of Development of Eco-Wellbeing Performance in China? An Analysis from a Three-Stage Network Perspective

Zhang,

Cai,

Mao

et al. 2023

Land

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After rapid development in recent decades, China has laid a strong economic foundation and established material conditions. Despite this, the country still confronts a range of challenges that impede higher-quality economic and social development. To measure high-quality regional development, eco-wellbeing performance (EWP) has become an important tool that seeks to strike a balance between economic development, human wellbeing, and environmental protection. This paper proposes a three-stage network efficiency evaluation model to decompose EWP into three stages, namely ecological economic efficiency (EEE), economic innovation efficiency (EIE), and innovation wellbeing efficiency (IWE). A directional distance function (DDF) model was utilized to assess the overall EWP efficiency and phase-in efficiency for 248 cities over the period from 2016 to 2020. The study results indicate that EWP in China is generally low. In terms of the three sub-stages of EWP, the first stage performs optimally, the third stage performs the second best, and the second stage is the worst. The research suggests that the principal reason for the generally low EWP may be linked to the efficiency of the transformation of economic investments into innovative outcomes in the second stage. From a regional viewpoint, EWP generally shows a gradually decreasing trend from the east, central, and west to the northeast, but the stage performance varies among regions. The eastern region has lower EEE, but both EIE and IWE perform better than the national average; the central region is well-balanced between the three stages; the western region leads the country in EEE, but lags in both EIE and IWE; and the northeast region has inferior performance in all stages. This study’s findings provide vital reference values for policy-makers to determine key points for enhancing EWP in different regions of China.

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Section: The Connection Of Ecology Economy Innovation and Wellbeingmentioning

confidence: 89%

What Is the State of Development of Eco-Wellbeing Performance in China? An Analysis from a Three-Stage Network Perspective

Zhang,

Cai,

Mao

et al. 2023

Land

View full text Add to dashboard Cite

show abstract

“…The model divides EWP into the ecological-economic transition and economic welfare transition stages, thereby elucidating the "black box" of the urban EWP conversion process. It reflects the effectiveness of inputs and outputs at each stage, reveals the efficiency loss and potential for improvement [25], and takes into account desired outputs, such as the output pollution and emissions, etc., which correspond closely with the reality of the EWP conversion process, thereby facilitating a more accurate quantification of emissions and other related metrics during the EWP transformation. This evaluation method adheres tightly to the actual circumstances of the EWP modification process, rendering the assessment of EWP more precise [26].…”

Section: Accounting and Assessment Of Ewp Performancementioning

confidence: 99%

Spatial Network Structure and Shift Path Prediction of Ecological Welfare Performance in Chinese Cities—Evidence from 284 Cities

Yuan,

Ren,

2024

Sustainability

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Ecological welfare performance (EWP) serves as a crucial measure for assessing the green development of a region. Exploring the spatial characteristics, network structure, and transfer paths of its specific stages is crucial for grasping an internal space’s EWP and optimizing urban ecological planning. This research employed a two-stage DEA model to assess the EWP of 284 Chinese cities from 2007 to 2022 and decompose it into an ecological–economic transition stage (L1) and an economic welfare transition stage (L2). Second, a social network analysis (SNA) was conducted to describe the EWP sub-stages’ network structure and construction mechanism. Finally, the transmission path process of EWP was revealed through Markov chains. It is found that (1) the overall trend of EWP is rising and then falling, with L2 as the critical constraint; (2) the network structure of the two stages is complex, dominated by industrial structure, urbanization, and healthcare level; and (3) ‘club integration’ constrains the transfer across EWP in the short term. Compared with L2, which has a lower probability of interstate transfer, L1 has a greater likelihood of transfer to a higher level. This paper provides suggestions for the optimal allocation of ecological resources in Chinese cities through the analysis of EWP.

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“…On the other hand, evaluation indicators are constructed from the perspective of the structure, function, and coordination of urban ecosystems. For example, Ma, Han, et al (2022) constructed a two‐stage resource‐environment‐ecology evaluation system to evaluate the coordination and effectiveness of urban ecosystem construction. Hu, Sarwar, and Li (2021) combined ecosystem services with multidimensional urban well‐being to construct a performance evaluation system for urban ecological well‐being, which is used to characterize the quality of urban ecological development.…”

Section: Literature Reviewmentioning

confidence: 99%

The spatio‐temporal interactive effects between ecological urbanization and industrial ecologization in the Yangtze River Delta region

Zhang

2023

Sustainable Development

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In this study, we investigated the spatio‐temporal synergistic relationship between ecological urbanization (EU) and industrial eco‐efficiency (IEE) in the context of the integrated development of the Yangtze River Delta region. The main findings are as follows: (1) EU and IEE generally exhibited similar spatial distribution patterns, with high values concentrated in the southern part of the delta and low values in the northern part and Anhui Province; there was also a high degree of coupling between the two systems. (2) IEE and EU's relationship presented a U‐shaped positive correlation trend from 2001 to 2019, and a positive correlation was observed in most cities, with highly correlated cities clustered in southern Zhejiang and Anhui province, while negative correlation cities scattered in a few cities in northern Zhejiang, northern Anhui, and southern Jiangsu. (3) Significantly spatial association characteristics were found between EU and IEE, with HEUHIEE type clustering mainly in southeastern delta cities, while the LEULIEE type slowly encroached upon northwest delta cities. (4). Synergistic promoting effects were identified between IEE and EU, whereby, the improvement of IEE in both local and neighboring cities contributed to promoting EU, and the progress of EU in both local and neighboring cities helped to promote IEE.

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Urban Eco-Efficiency and Its Influencing Factors in China Based on the Two-Stage Super-NEBM Model

Cited by 6 publications

References 38 publications

What Is the State of Development of Eco-Wellbeing Performance in China? An Analysis from a Three-Stage Network Perspective

What Is the State of Development of Eco-Wellbeing Performance in China? An Analysis from a Three-Stage Network Perspective

Spatial Network Structure and Shift Path Prediction of Ecological Welfare Performance in Chinese Cities—Evidence from 284 Cities

The spatio‐temporal interactive effects between ecological urbanization and industrial ecologization in the Yangtze River Delta region

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