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Analysis of the main body behaviour of non-point source pollution control based on multimodal game model

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The issue of agricultural non-point source pollution has attracted the attention of the state and the masse. In the non-point source pollution control organizations which composed of the governments, farmers and fertiliser sellers, due to the characteristics of rational economic body, the phenomenon of ”market failure” and ”government failure” may occur in the process of non-point source pollution control. In this paper, the author applies game theory to analyse the main behaviour characteristics of the three main bodies, and constructs the incomplete information dynamic game model that the government, farmers and fertiliser sellers participate in. According to the results of the equilibrium solution of the Haysani Axiom model, it is found that the decisions made by the three bodies of the government, the fertiliser seller and the farmer in the behaviour choice stage have a great influence on the behaviour choice of the other two bodies, and the process of each strategy choice by the three bodies is a dynamic game process of the three bodies. Finally, according to the main influencing factors reflected in the equilibrium solution, proposed the related non-point source pollution control countermeasure suggestion to the government main body.
Rocznik
Strony
563--579
Opis fizyczny
Bibliogr. 24 poz., rys., tab., wykr.
Twórcy
autor
  • College of Economy and Management, Northeast Forestry University, Harbin 150040, Heilongjiang, China
autor
  • College of Economy and Management, Northeast Forestry University, Harbin 150040, Heilongjiang, China
Bibliografia
  • [1] Bo S, Zhang L, Yang L, Zhang L, David N, Zhu Z. Agricultural non-point source pollution in China: causes and mitigation measures. Ambio. 2012;41(4):370-9. DOI: 10.1007/s13280-012-0249-6.
  • [2] Wu H, Ge Y. Excessive application of fertilizer, agricultural non-point source pollution, and farmers’ policy choice. Sustainability. 2019;11(4):1165. DOI: 10.3390/su11041165.
  • [3] Cho M, Jang T, Jang JR, Yoon CG. Development of agricultural non‐point source pollution reduction measures in Korea. Irrigation Drainage. 2016;65:94-101. DOI: 10.1002/ird.1993.
  • [4] Ahmad Z. Metals uptake by wastewater irrigated vegetables and their daily dietary intake in Peshawar, Pakistan. Ecol Chem Eng S. 2015;22(1):125-39. DOI: 10.1515/eces-2015-0008.
  • [5] Marszałek M, Kowalski Z, Makara A. The possibility of contamination of water-soil environment as a result of the use of pig slurry. Ecol Chem Eng S. 2019;26(2):313-30. DOI: 10.1515/eces-2019-0022.
  • [6] Wang Y, Yang J, Liang J, Qiang Y, Fang S, Gao M, et al. Analysis of the environmental behavior of farmers for non-point source pollution control and management in a water source protection area in China. Sci Total Environ. 2018;633:1126-35. DOI: 10.1177/0954407012475272.
  • [7] Grazhdani D. Contingent valuation of residents’ attitudes and willingness-to-pay for non-point source pollution control: a case study in AL-Prespa, Southeastern Albania. Environ Manage. 2015;56(1):81-93. DOI: 10.1007/s00267-015-0480-6.
  • [8] Zhang T, Ni J, Xie D. Assessment of the relationship between rural non-point source pollution and economic development in the Three Gorges Reservoir Area. Environ Sci Pollut Res. 2016;23(8):8125-32. DOI: 10.1007/s11356-016-6344-7.
  • [9] Abler D. Economic evaluation of agricultural pollution control options for China. J Integrative Agricult. 2015;14(6):1045-56. DOI: 10.1016/S2095-3119(14)60988-6.
  • [10] Rissman AR, Carpenter SR. Progress on nonpoint pollution: barriers & opportunities. Daedalus. 2015;144(3):35-47. DOI: 10.1162/DAED_a_00340.
  • [11] Portney PR. Public policies for environmental protection. Routledge. 2016:178-98. DOI: 10.4324/9781315651477.
  • [12] Cultivated land area of all countries in the world in 2017. Available from: https://data.worldbank.org.cn/indicator/AG.LND.ARBL.HA?end=2018&name_desc=true&start=2018&view=map&year=2017.
  • [13] Application amount of chemical fertilizer in the world in 2017. Available from: http://www.fao.org/faostat/en/#data.
  • [14] Fertilizer application in China from 2013 to 2019. Available from: https://data.stats.gov.cn/easyquery.htm?cn=C01&zb=A0D06&sj=2019.
  • [15] Dahan NM, Doh JP, Raelin JD. Pivoting the role of government in the business and society interface: A stakeholder perspective. J Business Ethics. 2015;131(3):665-80. DOI: 10.1007/s10551-014-2297-2.
  • [16] Zhang M, Li H, Xue L, Wang W. Using three-sided dynamic game model to study regional cooperative governance of haze pollution in China from a government heterogeneity perspective. Sci Total Environ. 2019;694:133559. DOI: 10.1016/j.scitotenv.2019.07.365.
  • [17] Başar T, Olsder GJ. Dynamic Noncooperative Game Theory. Society for Industrial and Applied Mathematics. 1998;95-116. ISBN: 9780898714296.
  • [18] Key S. Toward a new theory of the firm: a critique of stakeholder “theory”. Manage Decision. 1999;37(4):317-28. DOI: 10.1108/00251749910269366.
  • [19] Blair MM. For whom should corporations be run? An economic rationale for stakeholder management. Long Range Planning. 1998; 31(2):195-200. DOI: 10.1016/S0024-6301(98)00003-X.
  • [20] Vives X. Nash equilibrium with strategic complementarities. J Mathematical Economics. 1990;19(3):305-21. DOI: 10.1016/0304-4068(90)90005-T.
  • [21] Rothschild M, Stiglitz J. Equilibrium in competitive insurance markets an essay in the economics of incomplete information. Quarterly J Economics. 1976;90:629-49. DOI: 10.2307/1885326.
  • [22] Harsanyi JC. A bargaining model for cooperative n-Person games. Annals Mathematics Studies. 1959;40:325-55. DOI: 10.1515/9781400882168-019.
  • [23] Harsanyi JC. A General Solution for Finite Noncooperative Games Based on Risk-Dominance. Advances in Game Theory. Princeton University Press. 2016;52:651-80. DOI: 10.1515/9781400882014-030.
  • [24] Sołowski G, Konkol I, Cenian A. Perspectives of hydrogen production from corn wastes in Poland by means of dark fermentation. Ecol Chem Eng S. 2019;26(2):255-63. DOI: 10.1515/eces-2019-0031.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-28c6c269-ab28-447d-8bb0-13c3ddf34859
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