Journals / Atmospheric Pollution Research / 2017 / Cilt: 8 - Sayı: 2

A study on transboundary air pollution based on a game theory model: Cases of SO2 emission reductions in the cities of Changsha, Zhuzhou and Xiangtan in China

Pages
244–252
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show that if a gain-sharing mechanism can reasonablyallocatethegainfromfullcooperation,itisthenfeasibleandeffectiveforthethreecitiestofully cooperatetoreduceSO2 emissions.Amongthefourgainallocationmethodsinvestigatedinthisempirical study, the stabilities of gain allocation for full cooperation using SCRB principle and Nash-Harsanyi allocation method were higher than those using the other two allocation methods.

📌 3 Key Takeaways

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Objective & Hypothesis:Chinanowfacessevereairpollutionproblemswhileconsumingahugequantityofcoal.Atpresent,dueto the emission charges and the emissions trading policy failed to effectively prompt enterprises to reduce emissions and improve air quality.
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Key Findings & Data:Therefore, improving air quality through regional negotiations and cooperationmaybefeasibleandeffective.Inthisstudy,whichwasbasedongametheory,atransboundary airpollutionmodelwasestablishedtoconductanempiricalstudyonthecost-effectivenessofcooperative SO2 reduction in three cities of Hunan province in China.
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Conclusion & Impact:The results show that if a gain-sharing mechanism can reasonablyallocatethegainfromfullcooperation,itisthenfeasibleandeffectiveforthethreecitiestofully cooperatetoreduceSO2 emissions.Amongthefourgainallocationmethodsinvestigatedinthisempirical study, the stabilities of gain allocation for full cooperation using SCRB principle and Nash-Harsanyi allocation method were higher than those using the other two allocation methods.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

Chinanowfacessevereairpollutionproblemswhileconsumingahugequantityofcoal.Atpresent,dueto the emission charges and the emissions trading policy failed to effectively prompt enterprises to reduce emissions and improve air quality. Therefore, improving air quality through regional negotiations and cooperationmaybefeasibleandeffective.Inthisstudy,whichwasbasedongametheory,atransboundary airpollutionmodelwasestablishedtoconductanempiricalstudyonthecost-effectivenessofcooperative SO2 reduction in three cities of Hunan province in China. Four gain allocation mechanisms, i.e., the nucleolus, Nash-Harsanyi allocation solution,Shapleyvalue and SeparableCost Remaining Benefit (SCRB) principle,wereemployedtoallocatethegainsofcooperation,andthefairnessandstabilityofthedifferent allocation mechanisms were also analyzed. The results show that if a gain-sharing mechanism can reasonablyallocatethegainfromfullcooperation,itisthenfeasibleandeffectiveforthethreecitiestofully cooperatetoreduceSO2 emissions.Amongthefourgainallocationmethodsinvestigatedinthisempirical study, the stabilities of gain allocation for full cooperation using SCRB principle and Nash-Harsanyi allocation method were higher than those using the other two allocation methods. The results provide clear empirical evidence that regional gain allocation may affect the sustainability of cooperation. Therefore, although it was desirable to reduce SO2 emissions through cooperation, the long-term sustainability of cooperation should be taken into account in developing relevant policies.

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Cite This Article

SHİ, G., WANG, J., FU, F., XUE, W. (2017). A study on transboundary air pollution based on a game theory model: Cases of SO2 emission reductions in the cities of Changsha, Zhuzhou and Xiangtan in China. Atmospheric Pollution Research, Cilt: 8 - Sayı: 2, 244–252. https://ajindex.com/articles/216244

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References (8)

  1. Zhang, Y.-L., Zhang, B., Bi, J., 2012. Policy conflict the feasibility of water pollution trading programs in the Tai Lake Basin, China. Environ. Plan. C Gov. Policy 30, 416e428. http://dx.doi.org/10.1068/c11124.
  2. Zhang, B., Yu, Q.-Q., Bi, J., 2010. Policy design and performance of emissions trading markets: an adaptive agent-based analysis. Environ. Sci. Technol. 44, 5693e5699. http://dx.doi.org/10.1021/es9035368.
  3. Xue, J., Li, C., 2013. Inter-provincial cooperative control of air pollution in China. J. Chem. Eng. Mater. Sci. 4,116e122. http://dx.doi.org/10.5897/JCEMS2013.0161.
  4. Young, H.P., 1985. Cost Allocation: Methods, Principles, Applications. Elsevier, Amsterdam. Xue, W.-B., Fu, F., Wang, J.-N., Tang, G.-Q., Lei, Y., Yang, J.-T., Wang, Y.-S., 2014. Numerical study on the characteristics of regional transport of PM2.5 in China. China Environ. Sci. 34 (6), 1361e1368 (In Chinese). WOO, J.-H., Beak, J.M., Kim, J.-W., Carmichael, G.R., Thongboonchoo, N., Kim, S.T., An, J.H., 2003. Development of a multi-resolution emission inventory and its impact on sulfur distribution for northeast Asia. Water, Air, Soil Pollut. 148, 259e278. Watts, J., 2005. China: the air pollution capital of the world. Lancet 366,1761e1762. http://dx.doi.org/10.1016/S0140-6736(05)67711-2. van Ierland, E.C., 1991. The economics of transboundary air pollution in Europe. Environ. Monit. Assess. 17, 101e122. http://dx.doi.org/10.1007/BF00399296.
  5. Tijs, S.H., Driessen, T.S.H.,1986. Game theory and cost allocation problems. Manage Sci. 32 (8), 1015e1028. http://dx.doi.org/10.1287/mnsc.32.8.1015.
  6. Shapley, L.S., Shubik, M.,1954. A method for evaluating the distribution of power in a committee system. Am. Polit. Sci. Rev. 48, 787e792. http://dx.doi.org/10.2307/ 1951053. Shapley, L.S., 1953. A value for n-person games. Ann. Math. Stud. 28, 307e318. Nagashima, M., Dellink, R., van Ierland, E., Weikard, H., 2009. Stability of international climate coalitions d a comparison of transfer schemes. Ecol. Econ. 68, 1476e1487. http://dx.doi.org/10.1016/j.ecolecon.2008.10.006.
  7. Montgomery, W.D., 1972. Markets in licenses and efficient pollution control programs. J. Econ. Theory 5, 395e418. http://dx.doi.org/10.1016/0022-0531(72) 90049-X. Missfeldt, F., 1999. Game-theoretic modelling of transboundary pollution. J. Econ. Surv. 13, 287e321. http://dx.doi.org/10.1111/1467-6419.00084.
  8. Maschler, M., 1992. The bargaining set, kernel, and nucleolus. In: Aumann, R.J., Hart, S. (Eds.), Handbook of Game Theory with Econ