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Spatial-temporal collaborative relation among ecological footprint depth/size and economic development in Chengyu
Yizhong Chen1, Hongwei Lu2, Pengdong Yan3
1School of Economics and Management, Hebei University of Technology, Tianjin 300401, China.
The Science of the Total Environment
|November 11, 2021
Summary
This study introduces a new ecological footprint model (EF3D) to assess regional sustainability. It reveals unsustainable natural capital use in the Chengyu urban agglomeration, with varying ecological footprint sizes and depths across cities.
Area of Science:
- Ecological economics
- Environmental science
- Regional sustainability assessment
Background:
- Traditional ecological footprint models do not fully capture inter-regional sustainability dynamics.
- Assessing capital flow consumption and stock depletion requires advanced modeling.
- Understanding the interplay between economic activity and ecological impact is crucial for sustainable development.
Purpose of the Study:
- To evaluate inter-regional ecological sustainability using an improved three-dimensional ecological footprint (EF3D) model and a multivariate spatial-temporal collaborative relation model.
- To identify variations in ecological footprint size (EFsize) and depth (EFdepth) for tracking capital consumption and depletion.
- To analyze the collaborative relationships between ecological footprint components and Gross Domestic Product (GDP).
Main Methods:
- Application of an improved three-dimensional ecological footprint (EF3D) model.
- Utilizing a multivariate spatial-temporal collaborative relation model.
- Identification of variations in ecological footprint size (EFsize) and depth (EFdepth).
Main Results:
- Unsustainable natural capital stock utilization identified in the Chengyu urban agglomeration, particularly in Neijiang, Chengdu, and Deyang (EFdepth > 35).
- Regional complementarity observed between EFsize and EFdepth, with resource-rich/poor cities showing distinct patterns.
- EF3D values are slightly lower than traditional ecological footprints due to enhanced fairness considerations.
- Spatial-temporal binary collaborative relations among EFsize, EFdepth, and GDP are generally strong ( > 0.6).
- Temporal multivariate collaborative relations are moderate ([0.30, 0.50]) with significant annual changes (10.22%).
- GDP significantly impacts the temporal collaborative relation of EFsize and EFdepth in specific cities.
Conclusions:
- The EF3D model offers a more nuanced assessment of ecological sustainability, incorporating fairness principles.
- Significant regional disparities in natural capital utilization necessitate tailored sustainability strategies.
- The interplay between economic growth (GDP) and ecological footprint components is complex and spatially variable.
- Findings provide a crucial reference for achieving coordinated socio-economic and ecological environmental development.
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