Science Journal of Energy Engineering
Volume 7, Issue 3, September 2019, Pages: 35-38
Received: Sep. 22, 2019;
Accepted: Sep. 28, 2019;
Published: Oct. 12, 2019
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Li Yuhang, College of Metallurgy and Energy, North China University of Science and Technology, Tangshan, China
Shi Jiayi, College of Metallurgy and Energy, North China University of Science and Technology, Tangshan, China
Liu Zhuokai, College of Mechanical Engineering, North China University of Science and Technology, Tangshan, China
The biosphere provides many natural processes to maintain a healthy and sustainable environment for human life, which is known as ecosystem services. Economic theory often disregards the impact of its decisions on the biosphere or assumes unlimited resources or capacity for its needs. However, whenever humans alter the ecosystem, we potentially limit or remove ecosystem services. While individually, these activities may seem inconsequential to the total ability of the biosphere’s functioning potential, cumulatively they are directly impacting the biodiversity and causing environmental degradation. Many scholars mostly adopt Costanza's method in the evaluation of ecosystem service function. However, the evaluation of ecosystem service function is static and not spatial, which is not intuitive enough. In this paper, the cost accounting of environmental degradation using the pollution loss method is summarized. Considering that the loss caused by pollution is often unmanageable and the cost of pollution control is often different from the loss caused by pollution, the pollution loss method is adopted in the selection of pollution accounting method instead of the traditional cost method. The InVEST model is introduced when calculating specific indicators. The model is very accurate to calculate the loss of environmental damage, has great significance for our future cost of protecting the environment but also saving environmental protection.
Cost Accounting of Environmental Degradation by Pollution Loss Method, Science Journal of Energy Engineering.
Vol. 7, No. 3,
2019, pp. 35-38.
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Hong Juan, Li Zheng. Study on the change of ecosystem Service value of Land Reclamation: a case study of Salbrak Town, Beishangou Irrigation Dis trict, Huocheng County [J]. China’s Land and Resources economy, 2016 (08): 48-53.
Song Chengcheng, Chang Shun, Zhang Yutao, Xie Jin, Wang Huijie, Sun Xueliao. Evaluation of ecosystem Service function of shrub Forest in Tian shan Mountain [J]. Anhui Agricultural Science, 2017 (21): 70-74 79.
Zhang Chengxiang, Sun Jinhua, Wang Wei, Zhang Zhe. Study on ecosystem Service value and Ecological cost of Urban Road Green Space under different Management modes: a case study of Yongjia County, Zhejiang Province [J]. Resource Science, 2017 (03): 522-532.
Deng Wei, Liu Hong, Li Shilong, Yuan Xingzhong, ZhangYuewei, Li Bo, Qi Jing. Dynamic changes of ecosystem Services in important Eco-functional areas of Chongqing [J]. Research in Environmental Sciences, 2015, 28 (02): 250-258.
Zhao Yanhua, Su de, Li Xintong, Yang Wei, Zhao Chao, Baiyun, Bao Yang. Valuation of ecosystem Service function in Lugu Lake Basin (Yunnan Section) [J]. Journal of Southwest University (Natural Science Edition), 2017N 39 (11): 127-133.
Gao L. Research on cost accounting of social economy development and environmental pollution in Guanzhong area. [J]. Acta Agriculturae Jiangxi, 2012: 91-94.
Zhang Yanjun, Yang Xiaodong, Liu Yi, Zheng Dayuan, Bi Shujun. Research on the Frame of Intelligent Inspection Platform Based on Spatio-temporal Data. Computer & Digital Engineering [J], 2019, 47 (03): 616-619+637.
Han M X, Guo X M, Zhang Y S. The human capital loss of air pollution in cities, China [J]. China Environmental Science, 2006.
Z. Zhao, J. Wang and Y. Liu, "User Electricity Behavior Analysis Based on K-Means Plus Clustering Algorithm," 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), Dalian, China, 2017, pp. 484-487. doi: 10.1109/ICCTEC.2017.00111
Cai C G. Valuation of health economic loss by air pollution in Beijing-comparison of contingent valuation method and human capital method. [J]. Journal of Environment & Health, 2009: 960-961.
Solarin S A, Al-Mulali U. Influence of foreign direct investment on indicators of environmental degradation [J]. Environmental Science & Pollution Research, 2018 (1): 1-15.
Khan H H, Khan O. Income-FDI-Environmental degradation nexus for developing countries: A panel analysis of America continent [J]. Mpra Paper, 2018.
Katircioglu S, Celebi A. Testing the role of external debt in environmental degradation: empirical evidence from Turkey. [J]. Environmental Science & Pollution Research International, 2018 (2): 1-10.
Alvarado R, Ponce P, Criollo A, et al. Environmental degradation and real per capita output: new evidence at the global level grouping countries by income levels [J]. Journal of Cleaner Production, 2018, 189.
Hu K, Xu L, Chen W, et al. Degradation of organics extracted from dewatered sludge by alkaline pretreatment in microbial electrolysis cell [J]. Environmental Science & Pollution Research, 2018, 25 (2): 1-10.