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Study on the Unexpected Loss Measurement of Environmental Pollution from Energy Consumption Waste Emissions in Industrial Parks Based on Extreme Value VaR Model

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The waste emission of energy consumption in industrial parks causes huge expected environmental pollution loss but also causes serious environmental pollution losses in the form of accidents. To explore the measurement method of the environmental pollution losses of waste emissions from energy consumption in industrial parks and the effective way of its application, based on the literature review and theoretical analysis, extreme value theory and VaR theory was introduced to construct the extreme value VaR model for the measurement of environmental pollution losses of wastes emission from energy consumption in industrial parks. The maximum likelihood estimation method was used to estimate the parameters of the measurement model. Then, the application test was carried out with the case data of waste emission from energy consumption in Nanjing MV industrial park, which verifies the effectiveness of the research method and its application.
Rocznik
Tom
Strony
399--412
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
autor
  • Research Office of Shandong Vocational and Technical University of International Studies, China
autor
  • Rizhao Ecological Environment Bureau, Rizhao Shandong, China
autor
  • School of Economics, Qufu Normal University – Rizhao Campus, Rizhao Shandong, 276826, China
autor
  • School of Economics, Qufu Normal University – Rizhao Campus, Rizhao Shandong, 276826, China
Bibliografia
  • Artzner, P., Delbaen, F., Eber, J-M., Heath, D. (1999). Coherent Measures of Risk. Mathematical Finance, 9, 203-228. https://doi.org/10.1111/1467-9965.00068.
  • Barboza, E.P., Montana, F., Cirach, M., Iungman, T., Khomenko, S., Gallagher, J., Thondoo, M., Mueller, N., Keune, H., MacIntyre, T., Nieuwenhuijsen, M. (2023). Environmental health impacts and inequalities in green space and air pollution in six medium-sized European cities. Environmental Research, 237(1), 116891.
  • Bai, J., Kailu, Guo, K.L, Liu, M.R., Jiang, T. (2023). Spatial variability, evolution, and agglomeration of eco-environmental risks in the Yangtze River Economic Belt, China. Ecological Indicators, 152, 110375.
  • Brown, T.C., Nannini, D., Gorter, R.B., Bell, P.A., Peterson, G.L. (2002). Judged seriousness of environmental losses: reliability and cause of loss. Ecological Economics, 42(3), 479-491.
  • Francová, A., Chrastný, V., Šillerová, H., Vítková, M., Komárek, M. (2017). Evaluating the suitability of different environmental samples for tracing atmospheric pollution in industrial areas. Environmental Pollution, 220(1), 286-297.
  • Han, X.Y., Cao, T.Y. (2021). Study on corporate environmental responsibility measurement method of energy consumption and pollution discharge and its application in industrial parks. Journal of Cleaner Production, 326, 129359.
  • Han, X.Y., Sun, T., Feng, Q. (2019). Study on environmental pollution loss measurement model of energy consumption emits and its application in industrial parks. Science of the Total Environment, 668(11), 1259-1266.
  • Han, X.Y., Cao, T.Y. (2022). Study on the evaluation of ecological compensation effect for environmental pollution loss from energy consumption: Taking Nanjing MV Industrial Park as an example. Environmental Technology & Innovation, 27, 102473.
  • Hashemi, S.J., Ahmed, S., Khan, F.I. (2015). Loss scenario analysis and loss aggregation for process facilities. Chemical Engineering Science, 128(10), 119-129.
  • Liu, X.R., Sun, T., Feng, Q, Zhang, D. (2020). Dynamic environmental regulation threshold effect of technical progress on China's environmental pollution. Journal of Cleaner Production, 272, 122780.
  • Mamipour, S., Yahoo, M., Jalalvandi, S. (2019). An empirical analysis of the relationship between the environment, economy, and society: Results of a PCA-VAR model for Iran. Ecological Indicators, 102(7), 760-769.
  • Nam, K.M., Selin, N.S., Reilly, J.M., Paltsev, S. (2010). Measuring welfare loss caused by air pollution in Europe: A CGE analysis. Energy Policy, 39(9), 5059-5071.
  • Phalitnonkiat, P., Sun, W.X., Grigoriu, M.D., Hess, P., Samorodnitsky, G. (2016). Extreme ozone events: Tail behavior of the surface ozone distribution over the U.S. Atmospheric Environment, 128(3), 134-146.
  • Norton, R.L., Oakes, D.B., Cole, J.A. (1996). Pollution risk management for resource protection. Water Science and Technology, 33(2), 119-131.
  • Schmitt, R.E., Klee, H., Sparks, D.M., Podar, M.K. (1998). Using Relative Risk Analysis to Set Priorities for Pollution Prevention at A Petroleum Refinery. Advances in Chemical Engineering, 24, 329-399.
  • Son, C.H., Oh, D., Ban, Y.U. (2023). Eco-industrial development strategies and characteristics according to the performance evaluation of eco-industrial park projects in Korea. Journal of Cleaner Production, 416, 137971.
  • Shen, Z.Y., Qiu, J.L., Qian, H, Chen L. (2014). Simulation of spatial and temporal distributions of non-point source pollution load in the Three Gorges Reservoir Region. Science of The Total Environment, 493(17), 138-146.
  • Shen, Y.F., Shi, X.P., Variam, H.M.P. (2018). Risk transmission mechanism between energy markets: A VAR for VaR approach. Energy Economics, 75(5), 377-388.
  • Wang, Z.X., Yu, Y.J., Ye, T.T., Fei, J.C., Song, X.Y., Peng, J.W., Zhou, Y.Y., Wu, H.H. (2022). Distribution characteristics and environmental risk assessment following metal(loid)s pollution incidents at Southwest China mining site. Transactions of Nonferrous Metals Society of China, 32(12), 4062-4075.
  • Wang, W., Wang, H.B., Huang, J., Yang, H.J., Li, J.F., Liu, Q.L., Wang, Z.L. (2023). Causality and dynamic spillover effects of megacities on regional industrial pollution reduction. Heliyon, 9, e14047. https://doi.org/10.1016/j.heliyon.2023. e14047
  • Watmough, S.A., Hutchinson, T.C., (2004). The quantification and distribution of pollution Pb at a woodland in rural south-central Ontario, Canada. Environmental Pollution, 128(3), 419-428.
  • Yuan, R.X., Ma, Q., Zhang, Q.Q., Yuan, X.L., Wang, Q.S., Luo, C.W. (2022). Coordinated effects of energy transition on air pollution mitigation and CO2 emission control in China. Science of The Total Environment, 841, 156482.
  • Zhang, H.W., Liu, R.Z., Liu, J., Zhang, Z.J. (2022). Formal probabilistic risk analysis of accidental air pollution in a development zone using Bayesian networks. Journal of Cleaner Production, 372, 133774.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-14db2f17-fbb8-42fb-90c5-7453a00e6414
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