scholarly journals Construction and Application of Evaluation Index System of Circular Economy in Sichuan Province

◽  
2019 ◽  
2012 ◽  
Vol 524-527 ◽  
pp. 3455-3458 ◽  
Author(s):  
Ji Liang Zheng ◽  
Yi Huang ◽  
Zi Qiang Wang

The chemical industry is the focus of circular economy construction, and the construction of evaluation index system of circular economy is an important work. In this paper, a circular economy evaluation index system that may be used for quantized evaluation for the chemical industry is established based on the previous research results, where the weight value of the index system is obtained by the AHP method. The rationality of the evaluation index system is verified through the case studies.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Meng Ye ◽  
Fumin Deng ◽  
Li Yang ◽  
Xuedong Liang

Purpose This paper aims to build a scientific evaluation index system for regional low-carbon circular economic development. Taking Sichuan Province as the empirical research object, the paper evaluates its low-carbon circular economy (LCCE) development level and proposes policy recommendations for climate change improvement based on the evaluation results. Design/methodology/approach This paper, first, built an evaluation index system with 30 indicators within six subsystems, namely, economic development, social progress, energy consumption, low-carbon emissions, carbon sink capacity and environmental carrying capacity. Second, develop an “entropy weight-grey correlation” evaluation method. Finally, from a practical point of view, measure the development level of LCCE in Sichuan Province, China, from 2008 to 2018. Findings It was found that Sichuan LCCE development had a general downward trend from 2008 to 2012 and a steady upward trend from 2012 to 2018; however, the overall level was low. The main factors affecting the LCCE development are lagging energy consumption and environmental carrying capacity subsystem developments. Research limitations/implications This paper puts forward relevant suggestions for improving the development of a low-carbon economy and climate change for the reference of policymakers. Originality/value This paper built an evaluation index system with 30 indicators for regional low carbon circular economic development. The evaluation method of “entropy weight-grey correlation” is used to measure the development level of regional LCCE in Sichuan Province, China.


2013 ◽  
Vol 734-737 ◽  
pp. 2059-2064
Author(s):  
Bin Zhou ◽  
Li Li Chen ◽  
Chun Li Hu ◽  
Lin Gen Wang ◽  
Song Lin Mu

Building an index system of circular economy evaluation scientifically, evaluating the state of development of circular economy correctly, is not only main contents of the circular economy research, but also an important way to achieve the sustainable development of circular economy. Based on promulgated by the government, combined with the actual development of Ningbos circular economy, a comprehensive evaluation index system of Ningbos circular economy development has been built. And therefore the state of circular economy development from 2001 to 2011 has been evaluated dynamically.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.


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