Assessing the network characteristics and structural effects of eco-efficiency: A case study in the urban agglomerations in the middle reaches of Yangtze River, China

Zeng, Xiangjing; Ma, Yong; Ren, Jie; He, Biao

doi:10.1016/j.ecolind.2023.110169

Cited by 15 publications

(1 citation statement)

References 42 publications

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“…The Middle Reaches of the Yangtze River Urban Agglomeration (MRYRU) is another strategic urban cluster in China after the Beijing-Tianjin-Hebei Urban Agglomeration, the Yangtze River Delta Urban Agglomeration, the Guangdong-Hong Kong-Macao Greater Bay Area, and the Chengdu-Chongqing Urban Agglomeration, and the region brings together Wuhan, Changsha, and Nanchang, which are important supportive cities in China Zeng et al, 2023). According to data released by China's Bureau of Statistics, the total GDP and population of the city cluster in the middle reaches of the Yangtze River in 2020 will be 9.3 trillion and 120 million people, accounting for 9.175% and 9.207% of China's total, respectively.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Peng,

Chen,

Wang

2023

Front. Ecol. Evol.

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The urgent need to maintain ecosystem provisioning services and achieve urban sustainable development goals has led to a long-standing focus on the driving effects of land urbanization (LU) in the Middle Reaches of the Yangtze River Urban Agglomeration (MRYRU) on vegetation cover system productivity. Previous studies have lacked consideration for the long-term correlation between land urbanization (LU) and the Gross Primary Productivity (GPP) of vegetation, as well as the spatial non-stationarity of LU’s impact in the region. This study is based on land cover remote sensing data and GPP imagery data to monitor the long-term evolution trends of LU and GPP in MRYRU from the perspectives of townships and grids. It further investigates the spatial correlation and clustering characteristics between the two using bivariate spatial autocorrelation method. Additionally, a Geographically and Temporally Weighted Regression (GTWR) model was employed to analyze the spatial effects of LU on GPP. The results indicate that the GPP of MRYRU grows to 1572.88gCm-2a-1 with an average annual growth rate of 0.848% from 2000 to 2020. High-value areas are distributed in the central and eastern mountainous of the urban agglomeration, while low-value areas gradually formed an “n”-shaped clustered distribution pattern. The negative spatial autocorrelation between LU and GPP shows a general upward trend, and Low-High is the dominant agglomeration type, concentrated in Hengyang and some mountainous cities in Jiangxi Province. The overall negative impact of land urbanization on GPP in MRYRU is maintained in the spatially nonstationary pattern of driving coefficients, with negative impact areas mostly concentrated in the city’s main city zone and positive impact areas concentrated in the urban agglomeration’s mountainous townships. This study provides support for MRYRU to adopt more resilient land optimization management strategies and vegetation ecological restoration plans.

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Section: Introductionmentioning

confidence: 99%

Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Peng,

Chen,

Wang

2023

Front. Ecol. Evol.

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Spillover effects and influencing factors of tourism eco‐efficiency for sustainable development: A case study of cities in the Yangtze River Delta

Wang,

An,

Chen

2024

Sustainable Development

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Tourism often brings about negative environmental impacts. Tourism eco‐efficiency (TEE) and its spatial coordination are of great significance for sustainable tourism development and environmental protection in the Yangtze River Delta (YRD). TEE index system was established and applied in this study. The inter‐city TEE spatial correlation network is established by the modified gravity model and analyzed by social network analysis (SNA). Spatial Durbin model (SDM) was used to analyze the spatial spillover effects of the two centrality indicators of the network. Based on fuzzy set qualitative comparative analysis, we analyzed TEE enhancement configuration. The results show that: TEE in 26 cities in the study area has improved overall; the phenomenon of unbalanced development within the region still exists. In addition, the TEE of each city in the spatial correlation network of TEE in the YRD urban agglomeration is connected with each other, and there is a significant negative spillover effect. TEE is mainly affected by the level of economic development, industrial status of the tourism industry, tourism industry concentration, tourism investment level, tourism resource endowment, urban landscaping, and information development level. The combination of these factors and TEE can form five configuration patterns for TEE enhancement. This study combines SNA and SDM for the first time, and the conclusions obtained can more deeply describe the spatial correlation between different urban eco‐efficiency in the YRD. Aiming at the sustainable development of regional tourism, this study provides help for strengthening the protection of tourism ecological environment in the YRD.

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How does regional integration affect CO2 emission intensity? A natural experiment based on the expansion of the Yangtze River Delta, China

Lv,

Fan,

Cheng

2024

Ann Reg Sci

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Assessing the network characteristics and structural effects of eco-efficiency: A case study in the urban agglomerations in the middle reaches of Yangtze River, China

Cited by 15 publications

References 42 publications

Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Spillover effects and influencing factors of tourism eco‐efficiency for sustainable development: A case study of cities in the Yangtze River Delta

How does regional integration affect CO2 emission intensity? A natural experiment based on the expansion of the Yangtze River Delta, China

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