Assessment of the coordination of low-carbon development and socio-economic development based on a comprehensive model: A case study of Anhui Province (China)

Abstract

The coordination of low-carbon development and socio-economic development has been the favorite subject of carbon emission reduction with the proposal of “dual carbon” goal. So an evaluation indicator system based on four dimensions of resource environmental endowment, energy environmental endowment, economic development endowment and social development endowment was constructed. And then, entropy weight method, coupling coordination level model, synergy degree model and gray forecasting method were used for comprehensive analysis based on the data from 2011 to 2020 in Anhui Province (China). The results show: 1) Low-carbon development lagged behind socio-economic development; 2) Low-carbon development and socio-economic were mutually beneficial; 3) The coordinated level of low-carbon development and socio-economic development in Anhui province was continuously improved, and the ordered structure will be realized in 2024 and 2029 respectively. This study deepens the theoretical cognition of carbon emission reduction, and the following countermeasures are formed: Highlighting the strategic guidance of sustainable development, perfecting the new regulatory mechanisms for carbon emission reduction, and innovating the science and technology to resolve major development crises.

Research on the Dynamic Coupling and Coordination of Science and Technology Innovation and Sustainable Development in Anhui Province

“…The analysis of existing studies related to coupling coordination relationships revealed that few articles have predicted the future state of the level of coupling coordination between systems in Anhui Province [61][62][63]. In this study, the gray GM (1, 1) prediction model, which is currently used more often, was used, but the theoretical system of gray systems is not perfect, which leads to some defects of the GM (1, 1) model.…”

Spatial characteristics and coupling coordination between carbon emission efficiency and industrial structure in three metropolitan areas of Jiangsu Province, China

“…26 At the same time, both high-grade industrial structure and rationalizing have significant inhibition effect on carbon productivity in the study area and adjacent areas, the inhibition effect of high-grade industrial structure is greater. 27,28 At the same time, some scholars have introduced the coupling and coordination model into the study of the relationship between industrial structure and carbon emission, mainly from the coupling and coupling coordination degree analysis. 29 Most research results show that there is not only a one-way influence between industrial structure adjustment and carbon emission efficiency, but a coupling relationship of mutual influence.…”

“… 26 At the same time, both high-grade industrial structure and rationalizing have significant inhibition effect on carbon productivity in the study area and adjacent areas, the inhibition effect of high-grade industrial structure is greater. 27 , 28 …”

Node-place model extended by system support: Evaluation and classification of metro station areas in Tianfu new area of Chengdu

“…We use the information entropy weighting method (Shannon, 1997) to combine three dimensions indicators. This method overcomes the subjectivity of artificial weighting and has a strong adaptive ability (Xing and Yang, 2022). Taking the node value as an example, the calculation steps are as follows:…”