Measurement and synergistic evolution analysis of the economic resilience and eco-efficiency of provincial regions in China
Received date: 2023-04-15
Revised date: 2023-05-11
Online published: 2024-03-14
Integrating the dynamic balance between economic resilience and eco-efficiency is important for achieving sustainable regional development. This study focuses on 30 provincial units in China from 2001 to 2020 as the research objects. Economic resilience, measured within the framework of the domestic provincial, regional adaptive cycle theory, and the driving-pressure-state-response (DPSR) model, was assessed using the combined weight model. Eco-efficiency, evaluated under the input-output theory, employed the global undesired superefficient slack based measurement (SBM) model. The synergistic evolutionary characteristics of economic resilience and eco-efficiency were elucidated using an improved Harken model. The results indicate the following factors: (1) Economic resilience substantially increased during the sample observation period, accompanied by notable regional differences and unbalanced development in the north and south regions, exemplifying a certain “East-Central-Northeast-West” ladder effect. (2) The overall trend of eco-efficiency levels decreased, with regional differences undergoing the phases of “expansion-shrinking-re-expansion”. This was marked by a considerable step imbalance and a decreasing spatial distribution from “coastal-inland”. (3) The synergistic evolution between economic resilience and eco-efficiency progressed through three stages of stabilization, decline, and stability. Importantly, no step imbalance was observed between these regions. Economic resilience, serving as a sequential parameter of synergistic evolution, emerges as the dominant factor influencing the sustainable development of the region.
ZHOU Xia , WANG Jia . Measurement and synergistic evolution analysis of the economic resilience and eco-efficiency of provincial regions in China[J]. Arid Land Geography, 2024 , 47(2) : 319 -331 . DOI: 10.12118/j.issn.1000－6060.2023.178
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