We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Evaluation mechanism of sustainable development level for the cities in the Yangtze River Economic Belt under the dual-carbon policy.
- Authors
Sun, Mingyue; Rao, Congjun; Zhang, Xinyu; Wei, Enli
- Abstract
Low carbon sustainable development (LCSD) has become an inevitable choice, for which China has put forward a "dual-carbon" policy. The purpose of this study is to capture the interaction between the environment and the economy in the context of this goal, thus evaluating LCSD level from a systematic perspective. This paper proposes a super slack based measurement (SBM) model with a non-equal weight structure to assess the LCSD level. Firstly, a maximum influence minimum redundancy (MIMR) index selection algorithm is designed to establish input and output index systems, which avoids redundancy indexes. Secondly, the objective function of the original super SBM employs an equal weight structure, which leads results inadequately reflect the research preferences. Therefore, the weights of indexes are introduced to form an improved super SBM. Finally, 40 cities along the Yangtze River Economic Belt (YREB) are selected for empirical analysis. Results show that (1) the LCSD level of YRBE decreases from downstream to upstream to midstream; (2) Jiangsu, Zhejiang, and Sichuan provinces have higher LCSD levels, while Hunan and Jiangxi provinces have lower levels; and (3) up to 2021, there are 32 effective cities and 8 ineffective cities. The research implies that balancing the economy-environment relationship is crucial for higher efficiency. The LCSD evaluation method not only reflects the coordination level between the economy and the environment, but also integrates the research preference into the results, providing decision support for the government to formulate carbon reduction policies and allocate resources.
- Subjects
CITIES &; towns; SUSTAINABLE urban development; SUSTAINABLE development; EVALUATION methodology
- Publication
Environmental Science & Pollution Research, 2024, Vol 31, Issue 24, p35115
- ISSN
0944-1344
- Publication type
Article
- DOI
10.1007/s11356-024-33568-4