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The Effects of Communication on the Partnership Solution to the Commons

There is more than a verbal tie between the words common, community, and communication.

-John Dewey


Organizing individual appropriators into output sharing groups has been found to effectively solve the tragedy of the commons problem. We experimentally investigate the robustness of this solution by introducing different channels of communication that naturally arise from group competitions. In the absence of communication, we confirm that output sharing can introduce sufficient free riding to offset over-harvesting and results in full efficiency. Allowing local communication within output-sharing groups substantially decreases this efficiency enhancement because it reduces free riding and boosts between-group competition. Yet the efficiency level is still significantly higher than that achieved when global communication is allowed among all appropriators in a conventional common pool resource without output sharing. The efficiency-reducing effect of local communication is mitigated when random partners instead of fixed partners are sharing output over time, and is nearly eliminated when random partners are formed with users who belong to different communication groups.

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Fig. 1


  1. 1.

    Note that throughout this paper we use the term “communication” to mean “non-binding and costless communication”.

  2. 2.

    Most studies have examined the effect of communication in inter-group games with fixed groups and a fixed prize (Rapoport and Bornstein 1989; Schram and Sonnemans 1996; Cason et al. 2012; Leibbrandt and Sääksvuori 2012; Zhang 2012). Sutter and Strassmair (2009) examine the impact of communication in a group tournament in which the prize is not fixed and is paid by the losing team and shared equally in the winning team. They find that free riding dominates when teams cannot communicate or can only communicate with members of other teams. Communication within teams, on the other hand, increases individual contributions and efficiency. Contrary to theirs, in our experiment incentives are not monotonic as higher group contributions may lead to lower efficiency due to the congestion externality and the non-linear payoff of the CPR.

  3. 3.

    In this context a treatment is a specific combination of levels of the factors in the experiment [see “Treatment” in Statistics and Probability Dictionary (Stat Trek 2017)].  Factors are variables that have two or more discrete levels.  For example, in this experiment output sharing is a factor that can take on a Boolean value of true or false.  Similarly, local communication also is a factor that can take on a Boolean value of true or false.  For the CPR treatment both output sharing and local communication factors are false. All of the factors used in this study along with their combinations (i.e. treatments) will be described below and are summarized in Table 1.

  4. 4.

    Janssen et al. (2010) introduce chat-room communication into a CPR setting in which it is possible to destroy the CPR by over appropriation. Chat-room communication is successful in forestalling destruction of the CPR and raising profit. This result is similar to the results reported by Muller and Vickers (1996) who use face-to-face communication. Bochet et al. (2006) compare different forms of communication in public goods laboratory experiments and find little difference between the effects of face-to-face communication and verbal communication through a chat room.

  5. 5.

    Prior to the first decision round, individuals are given 4 min to send messages. Prior to the second and third decision rounds, individuals are given 3 min to communicate. Prior to the fourth round this is set at 2 min and from the fifth through the fifteenth rounds, communication is limited to 1 min. These time limits were based on debriefing subjects after several pilot sessions.

  6. 6.

    See section 1 of Appendix III for a derivation of the equilibrium results. See Schott et al. (2007) for the derivation of the optimal effort to allocate to appropriation from the common pool.

  7. 7.

    There is no unique individual extraction effort. See section 2 of Appendix III for this derivation.

  8. 8.

    Adding an additional observation to the data for the basic CPR treatment, the Fixed-Partners treatment and the Random-Partners treatment reported in Schott et al. (2007) does not affect the results obtained by Schott et al. (2007) that the system effort for each treatment is not different from the predicted values. In all cases the p values for the statistical tests are greater than 0.10 regardless of whether the additional observation is added.

  9. 9.

    All reported p values are based on two-sided tests unless otherwise stated. One-sided tests are used only when the prediction implies a direction for the change.

  10. 10.

    A test comparing the data for the mean system efforts of the two treatments supports the null hypothesis that there is no difference between the two means (F test, \(p = 0.299\), Mann–Whitney U test, \(p = 0.343\)).


  1. Ahn TK, Ostrom E, Walker J (2010) A common-pool resource experiment with postgraduate subjects from 41 countries. Ecol Econ 69:2624–2633

    Article  Google Scholar 

  2. Atkinson S, Stanley L, Tschirhart J (1988) Revenue sharing as an incentive in an agency problem: an example from the national football league. RAND J Econ 19:27–43

    Article  Google Scholar 

  3. Balliet D (2010) Communication and cooperation in social dilemmas: a meta-analytic review. J Confl Res 54(1):39–57

    Article  Google Scholar 

  4. Baye MR, Hoppe HC (2003) The strategic equivalence of rent-seeking, innovation, and patent-race games. Games Econ Behav 44(2):217–226

    Article  Google Scholar 

  5. Bender A, Kägi W, Mohr E (2002) Informal insurance and sustainable management of common pool marine resources in Ha’apai, Tonga. Econ Dev Cult Change 50(2):427–439

    Article  Google Scholar 

  6. Bicchieri C (2002) Covenants without swords: group identity, norms, and communication in social dilemmas. Ration Soc 14(2):192–228

    Article  Google Scholar 

  7. Bochet O, Page T, Putterman L (2006) Communication and punishment in voluntary contribution experiments. J Econ Behav Organ 60(1):11–26

    Article  Google Scholar 

  8. Boning B, Ichniowski C, Shaw K (2007) Opportunity counts: teams and the effectiveness of production incentives. J Labor Econ 25:613–650

    Article  Google Scholar 

  9. Carpenter J, Seki E (2011) Do social preferences increase productivity? Field experimental evidence from fishermen in Toyoma Bay. Econ Inq 49(2):612–630

    Article  Google Scholar 

  10. Cason TN, Sheremeta RM, Zhang J (2012) Communication and efficiency in competitive coordination games. Games Econ Behav 76(2012):26–43

    Article  Google Scholar 

  11. Chakraborty RN (2004) Sharing rules and the commons: evidence from Ha’apai, Tonga. Environ Dev Econ 9:455–472

    Google Scholar 

  12. Chan KS, Mestelman S, Moir R, Muller RA (1999) Heterogeneity and the voluntary provision of public goods. Exp Econ 2:5–30

    Google Scholar 

  13. Cherry J, Salant S, Uler N (2015) Experimental departures from self-interest when competing partnerships share output. Exp Econ 18:89–115

    Article  Google Scholar 

  14. Chung T-Y (1996) Rent-seeking contest when the prize increases with aggregate efforts. Public Choice 87(1–2):55–66

    Article  Google Scholar 

  15. Collings P, Wenzel G, Condon RG (1998) Modern food sharing networks and community integration in the Central Canadian Arctic. Arctic 51(4):301–314

    Article  Google Scholar 

  16. Dietl H, Franck E, Lang M (2008) Overinvestment in team sports: a contest theory model. Scott J Polit Econ 55:353–368

    Article  Google Scholar 

  17. Gunnthorsdottir A, Rapoport A (2006) Embedding social dilemmas in intergroup competition reduces free-riding. Organ Behav Hum Decis Process 101:184–199

    Article  Google Scholar 

  18. Hackett S, Schlager E, Walker JM (1994) The role of communication in resolving commons dilemmas: experimental evidence with heterogeneous appropriators. J Environ Econ Manag 27(2):99–126

    Article  Google Scholar 

  19. Harder MT, Wenzel GW (2012) Inuit subsistence, social economy and food security in Clyde River, Nunavut. Arctic 65(3):305–318

    Article  Google Scholar 

  20. Heintzelman MD, Salant SW, Schott S (2009) Putting free-riding to work: a partnership solution to the common-property problem. J Environ Econ Manag 57(3):309–320

    Article  Google Scholar 

  21. Isaac RM, Walker JM (1988) Communication and free-riding behavior: the voluntary contribution mechanism. Econ Inq 26:586–608

    Article  Google Scholar 

  22. Janssen M, Holahan R, Lee A, Ostrom E (2010) Lab experiments for the study of social–ecological systems. Science 328(5978):613–617

    Article  Google Scholar 

  23. Kagi W (2001) The tragedy of the commons revisited: sharing as a means to avoid environmental ruin. IWOE Discussion Paper 91, Institute for Economy and the Environment, University of St. Gallen

  24. Kinukawa S, Saijo T, Une M (2000) Partial communication in a voluntary-contribution-mechanism experiment. Pac Econ Rev 5(3):411–428

    Article  Google Scholar 

  25. Ledyard JO (1995) Public goods; a survey of experimental research. In: Kagel J, Roth A (eds) Handbook of experimental economics. Princeton University Press, Princeton

    Google Scholar 

  26. Leibbrandt A, Sääksvuori L (2012) Communication in intergroup conflicts. Eur Econ Rev 56:1136–1147

    Article  Google Scholar 

  27. Moldovanu B (1992) Coalition-proof Nash equilibria and the core in three-player games. Games Econ Behav 4:565–581

    Article  Google Scholar 

  28. Muller RA, Vickers M (1996) Communication in a common pool resource environment with probabilistic destruction. McMaster University, Department of Economics, Working Paper 96-06

  29. Ostrom E, Gardner R, Walker J (1994) Rules, games and common-pool resources. The University of Michigan Press, Ann Arbor

    Book  Google Scholar 

  30. Platteau J-P, Seki E (2001) Community arrangements to overcome market failure: pooling groups in Japanese fisheries. In: Aoki M, Hayami Y (eds) Communities and markets in economic development. Clarendon Press, Oxford, pp 344–403

    Chapter  Google Scholar 

  31. Rapoport A, Bornstein G (1989) Solving public goods problems in competition between equal and unequal size groups. J Confl Resolut 33:460–479

    Article  Google Scholar 

  32. Sahlins M (1972) Stone age economics. Aldine de Gruyter, New York

    Google Scholar 

  33. Sally D (1995) Conversation and cooperation in social dilemmas: a meta-analysis of experiments from 1958 to 1992. Ration Soc 7:58–92

    Article  Google Scholar 

  34. Schott S (2001) A partnership solution to the tragedy of the commons. In: 4th Toulouse conference on environment and resource economics, Toulouse, France

  35. Schott S, Buckley N, Mestelman S, Muller RA (2007) Output sharing in partnerships as a common pool resource management instrument. Environ Resour Econ 37(4):697–711

    Article  Google Scholar 

  36. Schram A, Sonnemans J (1996) Why people vote: experimental evidence. J Econ Psychol 17:417–442

    Article  Google Scholar 

  37. Sutter M, Strassmair C (2009) Communication, cooperation and collusion in team tournaments: an experimental study. Games Econ Behav 66(1):506–525

    Article  Google Scholar 

  38. Stat Trek (2017) Statistics and probability theory: treatments. Retrieved February 6, 2017 from

  39. Yamamoto T (1995) Development of community-based fishery management system in Japan. Mar Resour Econ 10:21–34

    Article  Google Scholar 

  40. Zhang J (2012) Communication in asymmetric group competition over public goods. University of Zurich, Working Paper Series, No. 69

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Correspondence to Stephan Schott.

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Buckley, N.J., Mestelman, S., Muller, R.A. et al. The Effects of Communication on the Partnership Solution to the Commons. Environ Resource Econ 70, 363–380 (2018).

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  • Common pool resources
  • Output sharing
  • Partnership solution
  • Communication
  • Competition
  • Group behavior
  • Partners and strangers
  • Experiments

JEL Classification

  • Q20
  • C92
  • C72