Ecological security assessment for megacities in the Yangtze River basin: Applying improved emergy-ecological footprint and DEA-SBM model

Liu, Yue; Qu, Ying; Cang, Yaodong; Ding, Xiangan

doi:10.1016/j.ecolind.2021.108481

Cited by 60 publications

(32 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Borucke et al (2013) measures the ecological carrying capacity of five different land using the National Footprint Accounts (NFA), which apply to more than 200 countries, combining yield factor and equivalent factor, the EF and ecological carrying capacity of each country were estimated. Later, some scholars take solar energy value as the basic accounting unit and establish an improved energy value EF model (Liu et al, 2022), but the standard of energy value density of this model was different, the uncertainty of calculation reduces the credibility of the evaluation results.…”

Section: Literature Reviewmentioning

confidence: 99%

Role of green energy technology on ecological footprint in China: Evidence from Beijing-Tianjin-Hebei region

Hui-qing

Hao

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

In order to investigate the impact of green energy technology on the environmental sustainability of China, take the Beijing-Tianjin-Hebei region as an example, this paper first calculates the per capita ecological footprint (ef), ecological carrying capacity (ec) and ecological deficit (ed) of China and Beijing-Tianjin-Hebei region from 1990 to 2019 by using the ecological footprint (EF) model, and then uses an expanded STIRPAT model and Partial Least Squares (PLS) regression to explore the impact and importance of green energy technology on EF in China and Beijing-Tianjin-Hebei region. It is found that the ec of China and Beijing-Tianjin-Hebei region is much lower than that of the ef from 1990 to 2019. It is always in the state of ecological deficit, and the sustainable development is faced with severe challenges. Progress in green energy technology can significantly reduce the EF of China and Beijing-Tianjin-Hebei region. The importance of each factor on the EF of China and Beijing-Tianjin-Hebei region is different. The degree of dependence on foreign trade and urbanization rate are important influencing factors of Beijing’s EF. Urbanization rate, per capita GDP, population size, energy consumption per unit GDP and built-up area are the important influencing factors of EF in Tianjin and Hebei. Therefore, to reduce the EF of Beijing, Tianjin and Hebei, it is necessary to accelerate the progress of green energy technology, develop compact ecological city and change people’s consumption patterns.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Role of green energy technology on ecological footprint in China: Evidence from Beijing-Tianjin-Hebei region

Hui-qing

Hao

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Few scholars have studied [58][59][60] the intrinsic driving mechanism of ECC spatiotemporal variation from space. Our research found that the areas with low ECC in the YRBS are distributed in northern Shaanxi, which related to the Loess Plateau region in the north and has been studied by many scholars [61][62][63][64].…”

Section: Ecc Spatiotemporal Evolution and Its Determinantsmentioning

confidence: 99%

Evaluation of Ecological Carrying Capacity and Identification of Its Influencing Factors Based on Remote Sensing and Geographic Information System: A Case Study of the Yellow River Basin in Shaanxi

Zhu

Mei

et al. 2022

Land

View full text Add to dashboard Cite

Ecological carrying capacity (ECC), which requires simple scientific evaluation methods, is an important evaluation index for assessing the sustainability of ecosystems. We integrate an innovative research method. Geographic information systems (GIS) and remote sensing (RS) were used to evaluate the ECC of the Yellow River Basin in Shaanxi (YRBS) and to identify the underlying factors that influence it. A calculation method that combines RS and GIS data to estimate ECC based on net primary productivity (NPP) was established. The Carnegie–Ames–Stanford approach model was applied to estimate NPP. The NPP of each land type was used as an indicator to determine the yield factors. The ECC of the watershed was calculated with the carrying capacities of each land-use type. The geographical detector model was used to study the influencing factors of ECC, which provides a scientific basis for the formulation of ecological management policies in YRBS. The results show that from 2000 to 2010, it first decreased by 45.46%, and then increased by 37.06% in 2020, an overall decrease of 13.49 × 105 wha in 20 years. Precipitation is the dominant factor that affects ECC, while the impact of human activities on ECC was significantly enhanced during the study period. The developed method based on RS data serves as a reference for ecological evaluation in other similar regions.

show abstract

“…For example, selecting indexes such as water consumption per 10,000-yuan GDP and per capita domestic water consumption to reflect the impact of economic development and human activities on the vulnerability of water resources. However, the research on the vulnerability of the water-energy-foodecology nexus is still mainly focused on individual subsystems, especially the water subsystem [30][31] and ecology subsystem [32][33][34][35], only a few scholars have studied the vulnerability of the water-energy-food nexus [36]. Based on the definition of vulnerability [26], this research believes that the vulnerability of the waterenergy-food-ecology nexus is caused by the unbalanced development of the internal system and the disturbance of the external environment, such as human activities and natural conditions.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Evolution Measurement and Obstacle Factors of the Vulnerability of Water-Energy-Food-Ecology Nexus in the Yangtze River Economic Belt

Pan¹,

Chen²

2022

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

The vulnerability of the water-energy-food-ecology nexus in the Yangtze River Economic Belt greatly impacts regional sustainable development. This study aimed to conduct a quantitative assessment and temporal and spatial evolution analysis of the vulnerability of the water-energy-foodecology nexus in the Yangtze River Economic Belt from 2008 to 2018 and diagnose the main factors that hinder the vulnerability reduction. Firstly, the vulnerability assessment index system was constructed according to the Vulnerability-Scoping-Diagram framework. Then, SPA-TOPSIS and ArcGIS10.7 were comprehensively used to evaluate the vulnerability of the water-energy-food-ecology nexus. Finally, the obstacle degree model was used to diagnose the main factors that hinder the vulnerability reduction of the water-energy-food-ecology nexus from the index and subsystem levels. The results showed that the vulnerability level of the water-energy-food-ecology nexus in the Yangtze River Economic Belt decreased from 2008 to 2018, and the overall trend was improved. The vulnerability level of the upstream region was generally lower than that of the middle and lower reaches. The main obstacles are the comprehensive utilization rate of solid waste, the primary industry energy consumption ratio, energy consumption intensity, water consumption per 10,000-yuan GDP, domestic water consumption per capita and fertilizer application per unit grain sowing area. The energy subsystem is the primary obstacle system, followed by the food, ecology, and water subsystem.

show abstract

Ecological security assessment for megacities in the Yangtze River basin: Applying improved emergy-ecological footprint and DEA-SBM model

Cited by 60 publications

References 57 publications

Role of green energy technology on ecological footprint in China: Evidence from Beijing-Tianjin-Hebei region

Role of green energy technology on ecological footprint in China: Evidence from Beijing-Tianjin-Hebei region

Evaluation of Ecological Carrying Capacity and Identification of Its Influencing Factors Based on Remote Sensing and Geographic Information System: A Case Study of the Yellow River Basin in Shaanxi

Spatio-Temporal Evolution Measurement and Obstacle Factors of the Vulnerability of Water-Energy-Food-Ecology Nexus in the Yangtze River Economic Belt

Contact Info

Product

Resources

About