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Spatial-Temporal Pattern and Influencing Factors of Ecological Efficiency in Zhejiang-Based on Super-SBM Method
Lizhen Huang1, Yixiang Zhang2, Xu Xu1
1School of Mathematics and Physics, Wenzhou University, Wenzhou, 325035 Zhejiang People's Republic of China.
Environmental Modeling and Assessment
|July 25, 2022
Summary
Ecological efficiency in Zhejiang Province has improved over 12 years, despite recent dips. Analysis reveals regional disparities and highlights technological progress and industrial structure as key drivers for enhancing ecological and economic development.
Area of Science:
- Environmental Science
- Economics
- Regional Science
Background:
- Traditional ecological efficiency metrics focus narrowly on economic output versus environmental input.
- This study broadens the scope to include human livelihood improvement and high-quality development, incorporating economic, innovation, social, and environmental dimensions.
- Undesired outputs such as wastewater, waste gas, and solid waste are explicitly included in the evaluation.
Purpose of the Study:
- To expand the definition and evaluation system of ecological efficiency.
- To measure the spatial and temporal variations in ecological efficiency in Zhejiang Province, China.
- To identify key factors influencing ecological efficiency.
Main Methods:
- Super-efficiency slack-based measure model with undesirable outputs and Malmquist index under variable returns to scale.
- Panel Tobit regression analysis to determine influencing factors.
- Analysis of ecological efficiency over a 12-year period for cities in Zhejiang Province.
Main Results:
- Ecological efficiency in Zhejiang Province showed a steady increase over 12 years, with notable declines in 2019-2020 due to economic slowdown and COVID-19.
- Significant regional imbalances in ecological efficiency were observed, with higher levels in the northeast and lower levels in the southwest.
- The drivers of efficiency improvement shifted from technical and scale efficiency to technological progress over time.
- Industrial structure, Theil index, and traffic activity were identified as significant positive factors affecting ecological efficiency.
Conclusions:
- Ecological efficiency in Zhejiang has improved, but regional disparities persist.
- Technological progress is increasingly crucial for enhancing ecological efficiency.
- Policy interventions should consider industrial structure, income inequality (Theil index), and transportation systems to further boost ecological efficiency.
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