scholarly journals Fairness analysis and compensation strategy in the Triangle of Central China  driven by water-carbon-ecological footprints

2021 ◽  
Author(s):  
Yizhong Chen ◽  
Hongwei Lu ◽  
Jing Li ◽  
Youfeng Qiao ◽  
Pengdong Yan ◽  
...  
Keyword(s):  
Regional Development ◽  
Ecological Footprint ◽  
Water Footprint ◽  
Natural Capital ◽  
Three Dimensional ◽  
Evaluation Framework ◽  
Central China ◽  
Ecological Compensation ◽  
Carbon Footprints ◽  
Ecological Footprints

Abstract This study proposes water–carbon–ecological footprints to form footprint family indicators for identifying the ecological compensation and regional development equilibrium in the Triangle of Central China (TOCC). The occupation of natural capital stock and flow consumption can be illustrated through a three-dimensional ecological footprint model, and Gini coefficient is integrated into the evaluation framework for fairness measurement from various aspects. Quantificational ecological compensation standards can be given with concerns of ecological resource conversion efficiency and willingness to pay indicators. Results reveal that there exit rising trends in ecological and carbon footprints in the TOCC from 2000 to 2015, while its water footprint presents a fluctuating trend. A majority of average Gini coefficients exceed the warning value (i.e., 0.4) under different footprints, implying a relatively poor overall fairness of regional development. In terms of water footprint, the relatively higher compensation expenses exist in Jingmen, Xiangtan, and Yichun, while Yichang, Zhuzhou, and Fuzhou have higher received compensation values as compared with other cities. When it comes to carbon footprint, Wuhan, Loudi, and Xinyu should pay higher compensation expenses due to their overuse of biological resources. The highest amounts of compensation expense appear in Nanchang and Wuhan from the perspective of ecological footprint.

scholarly journals Assessment of the Sustainable Utilization Level of Water Resources in the Wuhan Metropolitan Area Based on a Three-Dimensional Water Ecological Footprint Model

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3505
Author(s):  
Dongzhe Liang ◽  
Hongwei Lu ◽  
Liyang Feng ◽  
Lihua Qiu ◽  
Li He
Keyword(s):  
Water Resources ◽  
Metropolitan Area ◽  
Capital Stock ◽  
Urban Areas ◽  
Ecological Footprint ◽  
Natural Capital ◽  
Three Dimensional ◽  
Sustainable Utilization ◽  
Wuhan Metropolitan Area ◽  
Water Resources Utilization

The shortage and overexploitation of water resources restrict the sustainable development of metropolitan areas. To evaluate the sustainable utilization level of water resources, we identified the occupancy of natural capital stock and the consumption of natural capital flow by water resources consumption and analyzed the factors influencing water resources consumption in metropolitan area development. We took the Wuhan Metropolitan Area in China from 2010 to 2019 as the research object and introduced footprint depth and size, the water ecological footprint (WEF) model was expanded into the three-dimensional WEF model. Based on this model, an evaluation system for the sustainable utilization level of water resources was constructed with five indices—water ecological deficit, water ecological surplus, water ecological pressure, WEF depth, and WEF size. Finally, the driving factors of WEF change were analyzed using the Logarithmic Mean Divisia Index. The evaluation of the sustainable utilization level of water resources showed that the Wuhan Metropolitan Area as a whole experienced water ecological surplus from 2010 to 2019, but there were different degrees of water ecological deficit in its inner urban areas, and the most serious cumulative deficit was 5.02 ha/cap in Ezhou. In 2011 and 2019, the sustainable utilization level of water resources in the metropolitan area reached a relatively unsustainable state. Xianning was the urban area with the most sustainable utilization level of water resources. During the study period, the metropolitan area did not occupy the natural capital stock of water resources, and the natural capital flow of water resources in the inner urban areas could meet the demand of the current consumption of the region in 2010 and 2016. The analysis of the driving factors of WEF change showed that economic development effect and population pressure effect had a positive driving effect on WEF change, while WEF intensity effect and water resources carrying capacity effect had the opposite effect. Finally, according to the research results, it can be seen that improving the efficiency of water resources utilization, protecting the natural capital stock of water resources, realizing differentiated regional development through the market economy and developing water policy can be helpful to improve the level of sustainable water resources utilization.

Ecological Footprints and Appropriated Carrying Capacity: What Urban Economics Leaves Out

Urbanisation ◽  
2017 ◽  
Vol 2 (1) ◽  
pp. 66-77 ◽  
Author(s):  
William E. Rees
Keyword(s):  
Carrying Capacity ◽  
Ecological Footprint ◽  
Urban Economics ◽  
Natural Capital ◽  
Ecological Change ◽  
Ecological Footprints ◽  
Human Carrying Capacity

This article uses the concepts of human carrying capacity and natural capital to develop a framework to evaluate a city’s ‘ecological footprint’. It argues that prevailing economic assumptions regarding urbanisation and the sustainability of cities must be revised in light of global ecological change.

scholarly journals Assessing Ecological Carrying Capacity in the Guangdong-Hong Kong-Macao Greater Bay Area Based on a Three-Dimensional Ecological Footprint Model

2020 ◽  
Vol 12 (22) ◽  
pp. 9705
Author(s):  
Ye-Ning Wang ◽  
Qiang Zhou ◽  
Hao-Wei Wang
Keyword(s):  
Hong Kong ◽  
Carrying Capacity ◽  
Ecological Footprint ◽  
Natural Capital ◽  
Three Dimensional ◽  
Footprint Model ◽  
Ecological Carrying Capacity ◽  
Ecological Deficit ◽  
Bay Area ◽  
Utilization Patterns

As one of the most developed and competitive metropolitan areas in the world, the contradiction between resource depletion and sustainable development in the Guangdong-Hong Kong-Macao Greater Bay Area (GHMGBA) has become a crucial issue nowadays. This paper analyzed the natural capital utilization patterns in GHMGBA during 2009–2016 based on a three-dimensional ecological footprint model. Ecological carrying capacity intensity (ECintensity) was calculated to optimize the accounting of ecological carrying capacity (EC). Ecological footprint depth (EFdepth) and ECintensity were quantitatively investigated and influencing factors were further explored based on a partial least squares (PLS) model. Results showed that GHMGBA had been operating in a deficit state due to the shortage of natural capital flow and accumulated stock depletion. The highest EFdepth occurred in Macao (17.11~26.21) and Zhongshan registering the lowest (2.42~3.58). Cropland, fossil energy and construction land constituted the most to total ecological deficit, while woodland was continuously in a slight surplus. Natural capital utilization patterns of 11 cities were divided into four categories through hierarchical clustering analysis. Driving factors of EFdepth, ECintensity and three-dimensional ecological deficit (ED3D) were mainly students in primary and secondary education, disposable income, consumption expenditure, R&D personnel and freight volume. Our findings could provide guidance for decision-makers to develop resource utilization portfolios in GHMGBA.

Temporal Trends in Greenhouse Gas Emissions, Water Footprint, and Ecological Footprint of Food Purchases in Brazilian Metropolitan Areas From 1987 to 2017

2020 ◽  
Author(s):  
Jacqueline Tereza da Silva ◽  
Josefa Maria Felleger Garzillo ◽  
Fernanda Rauber ◽  
Alana Marielle Rodrigues Gald Kluczkovski ◽  
Ximena Schmidt ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Ecological Footprint ◽  
Water Footprint ◽  
Metropolitan Areas ◽  
Temporal Trends ◽  
Gas Emissions ◽  
Food Purchases
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