A Hybrid Evaluation Method of Ecological Environment Quality Based on Entropy and Matter-Element Extension Model

  • Ran Wang School of Economics and Management, North China Electric Power University, Beijing, China
  • Jianjun Wang 1School of Economics and Management, North China Electric Power University, Beijing, China 2Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, China
  • Yun Teng School of Economics and Management, North China Electric Power University, Beijing, China
Keywords: ecological environment quality, entropy evaluation, PSR, Matter-Element Extension

Abstract

The ecological environment of China is facing much more pressure with the continuous growth of population and energy usage. China pays more attention to improving the ecological environment quality with the ecological civilization development in the situation. The key problem is to construct a scientific and reasonable comprehensive evaluation index system guiding the ecological environment quality improvement. This paper creates a comprehensive evaluation index system of ecological environment quality based on the Pressure-State-Response (PSR) framework and uses a hybrid model with the entropy weight method and matter-element extension to evaluate China’s ecological environment quality from 2016 to 2020. The results show the overall ecological environment quality evaluation level in China is continuously improved. The results also show that China should pay much attention to the four main factors, which are population density, carbon emissions, per capita energy consumption, and per capita arable land, it should take some policies to improve the four factors. The case study has proven the effectiveness and practicality of the hybrid method and the comprehensive evaluation index system.

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Author Biographies

Ran Wang, School of Economics and Management, North China Electric Power University, Beijing, China

Ran Wang is a master student in the school of economics and management of North China Electric Power University. Her main research direction is the guidance mechanism and optimization of residents’ intelligent power consumption behavior.

Jianjun Wang, 1School of Economics and Management, North China Electric Power University, Beijing, China 2Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, China

Jianjun Wang is an Associate Professor at the Department of Economics and Management of North China Electric Power University. He got a PhD in Management Science and Engineering at the Department of Economics and Management of North China Electric Power University. His activity mainly focuses on Electricity, Energy, Environment and Economic Simulation and Optimization. He lectures on Information Management and Matlab software.

Yun Teng, School of Economics and Management, North China Electric Power University, Beijing, China

Yun Teng is a master student in the school of economics and management of North China Electric Power University. His main research directions include logistics system planning and design, logistics system modeling and simulation.

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Published
2022-02-04
Section
New Technologies and Strategies for Sustainable Development