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Game-theoretic-based modelling of Krishna waters dispute: equilibrium solutions by Metagame Analysis

  • Regular Article - Statistical and Nonlinear Physics
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Abstract

Conflicts are inevitable concerning sharing of the resources. Most of the time, due to the opacity of the conflict resolution technique, players involved do not accept the final solution. Therefore, any method adopted for resolving a conflict should involve players to get the equilibrium solution. Besides, the conflict resolution technique needs to be transparent, and the procedure must be the same for all the players involved. Metagame Analysis has the potential to accommodate the above conditions. In this study, we have discussed Metagame Analysis and its application to resolve India’s Krishna river basin dispute. Since the environment is an integral part of the river ecosystem, it has also been included as a conflict resolution player. We have also defined and derived Fair and Equitable (F&E) allocation in this regard, considering the factors that form the basis for their right as a rightful owner of the resource. The factors considered for F&E allocation are drainage area, cultivable area, and virgin runoff. The derived F&E allocation is then selected as one of the options for the Metagame Analysis. Metagame Analysis is carried out using two scenarios before and after Andhra Pradesh’s reorganization (in 2014). In scenario 1, equilibrium outcomes are 454, 458, and 469. Our results show that excessive demands may harm the water allocation if it violates the total flow. Outcome 469 is the F&E outcome in which all the players are going for cooperated negotiations which maximize their share. Outcomes 454 and 458 are those outcomes in which Karnataka is benefitted as it is getting its first option share. AP’s demand cannot be accommodated in any strategy as it exceeds the total flow, while there is a strategy available in which Karnataka’s first option can be sustained. The paper shows that the game-theoretic-based techniques can solve real-world disputes and that too as complex as water sharing.

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Data Availability Statement

This manuscript has no associated data or the data will not be deposited. [Authors’ comment: Data sharing is not applicable to this article as no datasets were generated and analysed data is provided in Table 1.]

References

  1. J. Alcalde-Unzu, M. Gómez-Rúa, E. Molis, Allocating the costs of cleaning a river: expected responsibility versus median responsibility. Int. J. Game Theory 50, 185–214 (2021)

    Article  MathSciNet  Google Scholar 

  2. M.T. Ashry, Finding solutions to water disputes. A report on Water and Dispute Prevention: South Perspective, Center for the Global south, The American university, Washington, DC (1998)

  3. C.T. Bergstrom, P. Godfrey-Smith, On the evolution of behavioral heterogeneity in individuals and populations. Biol. Philos. 13(2), 205–231 (1998)

    Article  Google Scholar 

  4. A.K. Biswas, Management of shared natural resources: problems and prospects. J. Indian Water Resour. Soc. 3(1), 7–18 (1983)

    Google Scholar 

  5. A.K. Biswas, An assessment of future global water issues. Int. J. Water Resour. Dev. 21(2), 229–237 (2005)

    Article  Google Scholar 

  6. S. Bhattacherjee, P. Sarkar, Weighted voting procedure having a unique blocker. Int. J. Game Theory 50, 279–295 (2021). https://doi.org/10.1007/s00182-020-00751-z

    Article  MathSciNet  MATH  Google Scholar 

  7. P. Brañas-Garza, E. Molis, L. Neyse, Exposure to inequality may cause under-provision of public goods: experimental evidence. J. Behav. Exp. Econ. 92, 101679 (2021)

    Article  Google Scholar 

  8. R.L. Cohen, Perceiving justice: an attributional perspective, in Equity and justice in social behavior, ed. by J. Breenberg, R. Cohen (Academic Press, New York, 1982), pp. 119–160

    Chapter  Google Scholar 

  9. N.M. Fraser, K.W. Hipel, Computational techniques in conflict analysis. Adv. Eng. Softw. 2(4), 181–185 (1980)

    Article  Google Scholar 

  10. N.M. Fraser, K.W. Hipel, Metagame analysis of the Poplar River conflict. J. Oper. Res. Soc. 1(5), 377–385 (1980)

    Article  Google Scholar 

  11. N.M. Fraser, K.W. Hipel, Dynamic modeling of the Cuban missile crisis. J. Confl. Manag. Peace Sci. 6(2), 1–18 (1983)

    ADS  Google Scholar 

  12. N.M. Fraser, K.W. Hipel, Conflict analysis: models and resolutions, Series vol. 11, North-Holland (Elsevier publishing co., Inc, New York, 1984)

  13. K.W. Hipel, Decision technologies for conflict analysis. Inf. Decis. Technol. 16(3), 185–214 (1990)

    MathSciNet  Google Scholar 

  14. K.W. Hipel, N.M. Fraser, Metagame analysis of the Garrison conflict. Water Resour. Res. 16(4), 629–637 (1980)

    Article  ADS  Google Scholar 

  15. K.W. Hipel, R.K. Ragade, T.E. Unny, Metagame theory and its applications to water resources. Water Resour. Res. 12(3), 331–339 (1976)

    Article  ADS  Google Scholar 

  16. K.W. Hipel, Multiple objective decision making in water resources. Water Resour. Bull. 28(1), 3–12 (1992)

    Article  Google Scholar 

  17. K.W. Hipel, R.K. Ragade, T.E. Unny, Metagame analysis of water resources conflicts. ASCE J. Hydraul. Div. 100, 1437–1455 (1974)

    Article  Google Scholar 

  18. N. Howard, Paradoxes of rationality, theory of metagames and political behavior. (MIT, Cambridge, MA, 1971)

  19. N. Howard, The analysis of options in business problems. INFOR 13(1), 48–67 (1975)

    Google Scholar 

  20. ILA, Helsinki rules on the use of waters of international rivers. Report of 46th conference of international law association. Helsinki, pp. 484–532 (1966)

  21. India-water resources information system. https://indiawris.gov.in/wris/#/Basin

  22. D.M. Kilgour, K.W. Hipel, N.M. Fraser, Solutions concepts in non-cooperative games. Large Scale Syst. 6, 49–71 (1984)

    MATH  Google Scholar 

  23. KWDT-I, Report of the Justice Bachawat Committee (Krishna Waters Dispute Tribunal, New Delhi, 1973)

  24. KWDT-2, Report of the Justice Brijesh Kumar Committee (Krishna Waters Dispute Tribunal, New Delhi, 2013)

  25. M.T. Marsh, D.A. Schilling, Equity measurement in facility location analysis: a review and framework. Eur. J. Oper. Res. 74(1), 1–17 (1994)

  26. B.E. Nanacarrow, J.A. McCreddin, G.J. Syme, Developing fair processes for the re-allocation of groundwater for long term sustainability in the Namoi Valley. Perth, CSRIO, Land and Water Consultancy Report, pp. 98–40 (1998)

  27. K.D.W. Nandalal, S.P. Simonovic, State-of-the-art report on systems analysis methods for resolution of conflicts in water resources management. IHP-VI, Technical Documents in Hydrology - PCCP series, No. 4, p. 135, UNESCO (2003)

  28. N. Okada, K.W. Hipel, Y. Oka, Hypergame analysis of the Lake Biwa Conflict. Water Resour. Res. 21(7), 917–926 (1985)

  29. Z.E. Öztürk, Fair social orderings for the sharing of international rivers: a leximin based approach. J. Environ. Econ. Manag. 101, 102302 (2020)

    Article  Google Scholar 

  30. D.P. Panday, Towards a fair and equitable allocation of Krishna waters. M.Tech thesis, Department of Civil Engineering, IIT-Delhi, New Delhi (2015)

  31. M. Perc, Phase transitions in models of human cooperation. Phys. Lett. A 380(36), 2803–2808 (2016)

    Article  ADS  Google Scholar 

  32. M. Perc, The social physics collective. Sci. Rep. 9, 16549 (2019). https://doi.org/10.1038/s41598-019-53300-4

  33. K.A. Rasinski, What is fair or is it? Values differences underlying public views about social justice. J. Pers. Soc. Psychol. 53(1), 201 (1987)

    Article  Google Scholar 

  34. K. Ravikumar, R. Khosa, Helsinki rules based allocation of Cauvery river waters. Proc of the international conference on hydrological perspectives for sustainable development, ed. by Perumal et al., Department of Hydrology, IIT Roorkee, India, vol. 2, pp. 1032–1045 (2005)

  35. K. Ravikumar, R. Khosa, Fair and equitable allocations of Cauvery River waters. Water Int. 32(4), 571–588 (2007)

    Article  Google Scholar 

  36. K. Ravikumar, Towards a fair and feasible allocation of Cauvery eaters. Un-published Ph.D. Thesis, IIT Delhi, New Delhi. (2008). http://eprint.iitd.ac.in/bitstream/handle/2074/6206/TH-3526.pdf?sequence=2&isAllowed=y

  37. R. Shukla, A. Chakraborty, K. Sachdeva, P.K. Joshi, Agriculture in the western Himalayas - an asset turning into a liability. Dev. Pract. 28(2), 318–324 (2018). https://doi.org/10.1080/09614524.2018.1420140

    Article  Google Scholar 

  38. G.J. Syme, B.E. Nancarrow, Perception of fairness and social justice in the allocation of water resources in Australia. A Report of the Land and Water Resources Research and Development Corporation, CSIRO, Division of Water Resources (1992)

  39. G.J. Syme, B.E. Nancarrow, Fairness and its implementation in the allocation of water. Xth World Water congress, Melbourne Convention Center, Melbourne, Australia, 12–17 March (2000)

  40. G.J. Syme, B.E. Nancarrow, Achieving sustainability and fairness in water reform: a western Australian case study. Water Int. 31(1), 23–30 (2006

  41. G.J. Syme, M.D. Fenton, Perceptions of equity and procedural preferences for water allocation decisions. Soc. Nat. Resour. 6, 347–359 (1993)

  42. G.J. Syme, B.E. Nancarrow, Planning attitudes, lay philosophies and water allocation: a preliminary analysis and research agenda. Water Resour. Res. 32(6), 1843–1850 (1996)

    Article  ADS  Google Scholar 

  43. G.J. Syme, B.E. Nancarrow, The determinants of perceptions of fairness in the allocation of water to multiple uses. Water Resour. Res. 33(9), 2143–2152 (1997)

    Article  ADS  Google Scholar 

  44. G.J. Syme, B.E. Nancarrow, J.A. McCreddin, Defining the components of fairness in the allocation of water to environmental and human uses. J. Environ. Manag. 57, 51–70 (1999)

    Article  Google Scholar 

  45. T. Taylor, R. Hastie, The social consequence of cognitive illusions, in Research on negotiation in organizations; Handbook of negotiations research, vol. 3, ed. by M. Bazerman, R. Lewicki, B. Sheppard (JAI Press, Greenwich, 1991), pp. 69–98

    Google Scholar 

  46. M.A. Takahashi, N.M. Fraser, K.W. Hipel, A procedure for analyzing hypergames. Eur. J. Oper. Res. 18, 111–122 (1984)

    Article  MathSciNet  Google Scholar 

  47. UNCIW, United Nations convention on non-navigational uses of international watercourses. Adopted by the UN General Assembly in resolution 51/229 of 21 May. (1997). http://www.internationalwaterlaw.org. Accessed 17 Jan 2004

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Acknowledgements

AA acknowledges the funding support provided by the Indian Institute of Technology Roorkee through Faculty Initiation Grant number IITR/SRIC/1808/F.I.G and COPREPARE project funded by UGC and DAAD under the IGP 2020–2024. RM acknowledge the funding provided by DST under the Inspire Faculty Fellowship. DPP acknowledges the support provided by UPES under its doctoral program.

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Panday, D.P., Khosa, R., Maheswaran, R. et al. Game-theoretic-based modelling of Krishna waters dispute: equilibrium solutions by Metagame Analysis. Eur. Phys. J. B 94, 101 (2021). https://doi.org/10.1140/epjb/s10051-021-00107-w

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