Spatial-temporal collaborative relation among ecological footprint depth/size and economic development in Chengyu urban agglomeration

Chen, Yizhong; Lu, Hongwei; Yan, Pengdong; Qiao, Youfeng; Xia, Jun

doi:10.1016/j.scitotenv.2021.151510

Cited by 18 publications

(3 citation statements)

References 35 publications

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“…For the affluence indicator, provinces with higher GDP tend to have more advanced industrial structures. On one hand, local fiscal dependence on agricultural trade revenue decreases, and on the other hand, these provinces often have more intensive land use and better-developed industries, which can reduce ESV transfer to some extent (Chen et al, 2022). Comparatively, the population size has a greater impact on ESV transfer than GDP.…”

Section: Driving Forces Of Embodied Esvmentioning

confidence: 99%

Trade impact analysis on the profit and loss of agroecosystem service value in Guangdong Province

Huang,

Cui,

Liao

et al. 2024

Front. Sustain. Food Syst.

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Due to the imbalance in the supply and demand of agricultural land, there is an increasing trend of land resources being remoted utilized across regions. Within the context of regional trade, changes in the agroecosystem service value (ESV) can be used to assess consumer responsibility. However, the embodied flow of ESV and its driving factors have been largely unexplored. This paper, utilizing the latest Chinese multi-regional input–output tables and the equivalence factor method, explores the spatiotemporal characteristics of embodied agricultural land and ESV flow between Guangdong and 30 other provinces, and further seeks to construct three types of embodied ESV models to reveal the driving factors. The findings reveal that during the process of domestic trade in goods and services, Guangdong Province has an inflow of 2.10 × 107 hm2 of land from other provinces, with arable land, forestland, and grassland accounting for 25, 61, and 14%, respectively. Guangdong’s utilization of ESV is mainly dependent on external inflows, with minimal local consumption and outflows. The embodied ESV between Guangdong and other provinces is 1626.10 billion yuan, with an outflow of 325.32 billion yuan. The “Y”-shaped region consisting of the northwest, northeast, southwest, and Hainan bears significant potential ESV losses for Guangdong Province. Population growth and the intensity of ESV loss will promote the flow of cropland and forestland ESV, while economic development has a certain inhibitory effect on ESV transfer. This paper provides a new analytical perspective on issues such as the spatial distribution mismatch of land resources and ecologically unequal exchange. These insights are pivotal for promoting sustainable utilization of land resources and regional equity.

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Section: Driving Forces Of Embodied Esvmentioning

confidence: 99%

Trade impact analysis on the profit and loss of agroecosystem service value in Guangdong Province

Huang,

Cui,

Liao

et al. 2024

Front. Sustain. Food Syst.

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“…In recent years, the improved 3DEF (i3DEF) models has been highly recognized and widely used in natural capital utilization accounting and ecological sustainability assessment [15][16][17][18][19][20][21]. Coupling is the principle that describes the mutual motion mechanism between two or more systems, while coordination refers to the relationship between subsystems in coordinated operation.…”

Section: Introductionmentioning

confidence: 99%

Regional Pattern and Coupling Analysis of Water-Energy Natural Capital Utilization in Urban Agglomerations

Hu¹,

Yuan²,

La³

2023

Pol. J. Environ. Stud.

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In this study, two revised indicators, the size and depth of ecological footprint, as the basis for accounting for flow capital occupation and stock capital depletion of water-energy resources, respectively, were selected to evaluate water resource capital utilization (WRCU) and energy capital utilization (ECU) in the Four-City Area in Central China (FcACC) from 2010 to 2020. The coupling coordinated relationship between WRCU and ECU in the FcACC was discussed by using the coupling coordination degree (CCD) model. The results showed that WRCU and ECU of 37 regions were divided into four types, and the intercity pattern had obvious regional agglomeration. The utilization level of stock capital and flow capital generally presented a complementary situation in the FcACC. Slight depletion types of stock capital were the main type of regional WRCU and ECU in the FcACC. The D value of the WRCU and ECU in the FcACC overall showed a downward trend, and the basic coordination (BC) between water resource flow capital occupation (WFCO) and EFCO was the main coordination status. Furthermore, the coordination status and capital utilization level of each region changed over time.

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“…Ecological sustainability was best when capital stock consumption was reduced and capital flow was abundant. Additionally, Yang et al [19] and Chen et al [20] showed that evaluating the ecological sustainability of urban agglomerations by the 3DEF model is reliable.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Urban Agglomeration Ecological Sustainability and Identification of Influencing Factors: Based on the 3DEF Model and the Random Forest

Yang

Zhong

et al. 2022

IJERPH

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The evaluation of ecological sustainability is significant for high-quality urban development and scientific management and regulation. Taking the Chengdu urban agglomeration (CUA) as the research object, this paper combined the three-dimensional ecological footprint model (3DEF) and random forest to evaluate the ecological sustainability of the study area and identify the influencing factors. The study results indicate that: (1) From 2000 to 2019, the ecological sustainability of Chengdu urban agglomeration was divided into four types, and the overall ecological sustainability of this region showed a downward trend. The areas with higher ecological sustainability were mainly distributed in the northern part of the urban agglomeration (Mianyang City) and the southern part (Leshan City and Ya’an City), while the cities in the central region (Chengdu City, Meishan City, and Ziyang City) had lower ecological sustainability. (2) The main factors affecting the ecological sustainability of urban agglomerations are industrial wastewater discharge, industrial smoke (powder) dust discharge, and green coverage of built-up areas, followed by urbanization and population size. Through this study, we have two meaningful findings: (a) Our research method in this paper provides a new way to study the factors affecting the ecological sustainability of urban agglomerations. (b) The results of the identification of influencing factors might be the reference for urban environmental infrastructure construction and urban planning.

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Spatial-temporal collaborative relation among ecological footprint depth/size and economic development in Chengyu urban agglomeration

Cited by 18 publications

References 35 publications

Trade impact analysis on the profit and loss of agroecosystem service value in Guangdong Province

Trade impact analysis on the profit and loss of agroecosystem service value in Guangdong Province

Regional Pattern and Coupling Analysis of Water-Energy Natural Capital Utilization in Urban Agglomerations

Assessment of Urban Agglomeration Ecological Sustainability and Identification of Influencing Factors: Based on the 3DEF Model and the Random Forest

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