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Publishing House of Wrocław University of Economics Wrocław 2016

Quality of Life.

Human and Ecosystem Well-being

PRACE NAUKOWE

Uniwersytetu Ekonomicznego we Wrocławiu

RESEARCH PAPERS

of Wrocław University of Economics

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Copy-editing:RafałGalos  Layout:BarbaraŁopusiewicz  Proof-reading:BarbaraŁopusiewicz  Typesetting:AdamDębski  Coverdesign:BeataDębska  Informationonsubmittingandreviewingpapersisavailableonwebsites: www.pracenaukowe.ue.wroc.pl www.wydawnictwo.ue.wroc.pl  ThepublicationisdistributedundertheCreativeCommonsAttribution3.0 Attribution-NonCommercial-NoderivsCCBY-NC-ND  © CopyrightbyWrocławUniversityofEconomics Wrocław2016 ISSN 1899-3192 e-ISSN 2392-0041 ISBN 978-83-7695-590-2 Theoriginalversion:printed PublicationmaybeorderedinPublishingHouse WydawnictwoUniwersytetuEkonomicznegoweWrocławiu ul.Komandorska118/120,53-345Wrocław tel./fax713680602;e-mail:econbook@ue.wroc.pl www.ksiegarnia.ue.wroc.pl  Drukioprawa:TOTEM

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Contents

Introduction...  7 Ewa Frątczak, Teresa Słaby: Lifecourse–paradigmshift–qualityoflife.

Atthemeetingpointofsocialsciencesandmanagement/Cyklżycia– zmianaparadygmatu–jakośćżycia.Nastykunaukspołecznychizarzą-dzania... 9 Jerzy Śleszyński: HumanDevelopmentIndexrevisited/Nowespojrzeniena

WskaźnikRozwojuSpołecznego...  40 Hanna Dudek, Wiesław Szczesny: Subjectiveperceptionofqualityoflife–

multidimensionalanalysisbasedonthefuzzysetsapproach/Subiektyw-nepostrzeganiejakościżycia–wielowymiarowaanalizanapodstawie podejściawykorzystującegozbioryrozmyte...  55 Anna Sączewska-Piotrowska:

ClustersofpovertyinPoland/Klastryubó-stwaPolsce...  69 Teresa Słaby: Thequalityoflifeoftheaboriginalruralpeople60+inPoland.

Selectedresearchresults,2014/Jakośćżyciardzennychmieszkańcówwsi wwieku60+wPolsce.Wybranerezultatybadań,2014...  84 Katarzyna Ostasiewicz, Adam Zawadzki:  Students’ expectations about

futurejobsasafactorinfluencingtheirqualityoflife/Oczekiwaniastu-dentów odnośnie przyszłej pracy jako czynnik wpływający na jakość życia...  98 Krzysztof Szwarc: Wheredothehappiestchildrenlive?TheSWBofschool

childreninEurope/Gdzieżyjąnajszczęśliwszedzieci?Jakośćżyciadzie-ciwwiekuszkolnymwEuropie...  112 Alena Kascakova, Luboslava Kubisova:  Social and economic potential

of silver population in Slovakia / Społeczny i ekonomiczny potencjał seniorównaSłowacji...  125 Karina Frączek, Jerzy Śleszyński:  Carbon Footprint indicator and the

qualityofenergeticlife/Śladwęglowyaenergetycznajakośćżycia...  136 Michał Pająk: Naturaldynamicsofcommon-poolresourcesinexperimental

research−currentstateandprospects/Naturalnadynamikawspólnych zasobówwbadaniacheksperymentalnych–obecnebadaniaiperspekty-wy...  152 Maria Zuba-Ciszewska: Thecontributionofthecooperativemovementto

theCSRidea–theaspectofethicalresponsibility/Wkładideispółdziel-czościwkoncepcjęCSR‒wymiarodpowiedzialnościetycznej...  163

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Introduction

OnSeptember21-22,2015,6thInternationalScientificConference“QualityofLife 2015.HumanandEcosystemsWell-being”washeldinWrocław. Theconferencewasapartofthecycleoftheconferencesonthetopicofquality oflifethathavebeenorganizedbytheDepartmentofStatistics(WrocławUniversity ofEconomics)since1999.Theaimofthecycleistoparticipateinthestillrising alloverthewordwaveofscientificstudiesonqualityoflife:ethicalbackground anddefinitionsofqualityoflife,investigating(howtomeasureit),presentingthe resultsofdifferencesofqualityoflifeovertimeandspace,itsinterdependences with natural environment, mathematical methods useful for the methodology ofmeasuringqualityoflifeandfinally–possiblemethodsofimprovingit.The conferencesaremeanttointegratethePolishscientificcommunitydoingresearch onthesetopicsaswellastomakecontactswithforeignscientists.

ThisyearourhonoraryguestwasProfessorFilomenaMaggino,pastPresident of International Society for Quality-of-Life Studies (ISQOLS), who presented aplenarylecture. Wehostedabout30participants,amongthemscientistsfromSpain,Romania, ItalyandJapan.Wehad24lecturesonsuchavarietyoftopicsascarbonfootprint andmathematicalpropertiesofsomeestimators.Thecommonbackgroundofall ofthemwastobettercomprehend,measureandpossiblytoimprovethequalityof humans’life. Thepresentvolumecontainstheextendedversionsofsomeselectedlectures presented during the conference. We wish to thank all of the participants of the conference for co-creating very inspiring character of this meeting, stimulating productivediscussionsandresultinginsomepotentiallyfruitfulcooperationover new research problems. We wish also to thank the authors for their prolonged cooperationinpreparingthisvolume,thereviewersfortheirhardworkandformany valuable,althoughanonymous,suggestionsthathelpedsomeofustoimprovetheir works.

Finally, we wish to thank the members of the Editorial Office of Wrocław University of Economics for their hard work while preparing the edition of this volume,continuouskindnessandhelpfulnessexceedingtheirdutiesofthejob.

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PRACE NAUKOWE UNIWERSYTETU EKONOMICZNEGO WE WROCŁAWIU RESEARCH PAPERS OF WROCŁAW UNIVERSITY OF ECONOMICS nr 435 ● 2016 Quality of Life. Human and Ecosystem Well-being ISSN 1899-3192

e-ISSN 2392-0041

Michał Pająk

WrocławUniversityofEconomics e-mail:michal.pajak@ue.wroc.pl

NATURAL DYNAMICS OF COMMON-POOL

RESOURCES IN EXPERIMENTAL RESEARCH −

CURRENT STATE AND PROSPECTS

NATURALNA DYNAMIKA WSPÓLNYCH ZASOBÓW

W BADANIACH EKSPERYMENTALNYCH –

OBECNE BADANIA I PERSPEKTYWY

DOI:10.15611/pn.2016.435.10 Summary:Sustainableuseofnaturalresourcesisakeyfactorforsurvivalofmanysmall communitiesaroundtheworld.Itcreatesproblemcalled‘thetragedyofthecommons’,asit isassumedthatpeopledrivenbytheirpersonalgainswilltendtooverusetheresourceleading toitsdepletion.Thisidealedtocreationofvariousexperimentaldesignsthatintroducedthis characteristics,butwerestatic,astheydidnotrepresentprocessofitsnaturalregeneration.In thesametimedynamicsofthiskindofresourcessuchasfisheriesorforestsarecriticalelement intherationaldecisionmaking.Differencebetweenlong-termsustainableuseandshort-time profits followed by poverty cannot be easily represented in static models.Therefore new designswerecreatedaimedatcapturingnaturaldynamicsofsuchresources.Theyrepresent varioustypesofecosystemsandwereusedindifferentcountriesandcontexts.Thesedesigns arenewadditiontothefieldofexperimentaleconomics.Therearemanyquestionsabouttheir validityinthefieldandgametheoreticalcharacteristics.Neverthelessthesequestionscreate newareasforfurtherinvestigationandresearch. Keywords:tragedyofthecommons,naturalresources,ecosystems,experimentaleconomy, gametheory.

Streszczenie: Zrównoważone wykorzystanie zasobów naturalnych jest czynnikiem

kluczowym dla przetrwania wielu niewielkich społeczności na całym świecie. Wiąże się ono z problemem „tragedii wspólnych dóbr”, w którym zakłada się, że ludzie, dążąc do indywidualnych korzyści, będą nadmiernie wykorzystywać zasób, prowadząc do jego zniszczenia. Takie ujęcie problemu zaowocowało stworzeniem różnorodnych procedur eksperymentalnych,którezawierałyopisanydylemat,alemiałycharakterstatyczny,ponieważ nie uwzględniały procesu naturalnej regeneracji zasobu. Dynamika zasobów takich jak łowiskaczylasyjestistotnymelementemwprocesiepodejmowaniadecyzji.Niestetymodele statyczneniesąwstanieodwzorowaćróżnicypomiędzyjegodługotrwałym,zrównoważonym wykorzystaniemamaksymalizacjąkrótkoterminowychzysków,prowadzącądoutratyźródła dochodu.Dlategoteżzostałyopracowanenoweproceduryeksperymentalne,którychcelem

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Naturaldynamicsofcommon-poolresourcesinexperimentalresearch−currentstate… 153 jestprzedstawianiedynamikitakichzasobów.Reprezentująoneróżnetypyekosystemóworaz zostaływykorzystanewróżnychpaństwachikontekstach.Tegotypuprocedurysąnowym dodatkiemdoobszaruekonomiieksperymentalnej.Istniejewielepytańodnośnieichtrafności orazcharakterystykopisywanychprzezteorięgier.Zagadnieniatetworząnoweobszarydla dalszychanalizorazbadań.

Słowa kluczowe: tragedia wspólnych dóbr, zasoby naturalne, ekosystemy, ekonomia

eksperymentalna,teoriagier.

1. Common-pool resources

In literature common-pool resource (CPR) is defined as a type of good that is subtractableanditiscostlytoexcludepotentialusersfromusingit.Thismeansthat ifoneoftheusersutilizesit,theseunitsoftheresourcearenolongeravailablefor others.Whatismore,thispersonorgroupofpeoplewillbeabletousethisgood evenwhenacommunityorhigherauthoritiesdonotallowit[Ostrometal.1994]. SustainableuseofCPRsisakeyfactorensuringthelong-timeeconomicprosperity of many communities. This problem is not restricted to survival of small, rural communitiesthataredependentonforests,pasturesorlakefisheries.Problemswith managementofCPRsareexperiencedinasimilarwayindevelopedcountrieswhen itcomestowaterpumpingortheuseofgeothermalenergy[Ostrometal.1994].The sameissuesoccuratalargerscale.Forexamplein2011globalfisheryproductionin marinewaterswasestimatedto82.6milliontonnes[FAO2014].Itrepresentsan importantpartofglobaleconomyandworldwidefoodsupply.Furthermoreitcanbe arguedthatevenEarth’satmosphereshouldbetreatedasacommon-poolresource [Stonichetal.2002].Thisperspectiveshowsthattheimportanceofinvestigation intohowtheyaremanagedcannotbeunderestimated. Thisarticleisaimedatpresentingcurrentexperimentalresearchinthisarea. Itconcentratesonsituationswherethereisasmallgroupofclearlydefinedusers. Furthermore itfocuseson renewable resources that can regenerate in reasonable time,presentinghowthisregenerationcanbeintroducedintoexperimentaldesigns. Assuchdynamicsarerelativelynewadditiontothefield,bothopportunitiesand problemstheycreatearepresentedindetailinthelastpartofthearticle.

2. Typical CPR experiments

Thedesignoftypicalexperimentsintheareaofcommon-poolresourcesmanagement washeavilyinfluencedbytheideaof“tragedyofthecommons”.Itwaspoetical description of the situation described by Garett Hardin [1968]. In his article he presentedahypotheticalpasturewhichisusedbymultipleherdsmen.Eachofthem wantstomaximizehisownprofits.Ifheaddsoneanimaltohisflockhegetsfull proceeds from it while all costs from overgrazing are shared equally among all

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154 MichałPająk

users. Therefore it is rational for all herdsmen to do so. Hardin argued that this inevitablyleadstooverharvestinganddepletionoftheresource.Hencethe“tragedy” –ifindividualsarerationaltheyarenotabletopreservethepastureandthisfatethat cannotbeavoided. Therearemanyexperimentaldesignsaimedatinvestigatingthisproblem.All ofthemarestylizedversionsofcommonpasturedescribedbyHardin.Atypical exampleofsuchadesignwaspresentedbyOstrometal.[1994].Inthisexperiment participantscaninvesttokenstheyaregiveninoneoftwomarkets.Firstonegivesa playera“safe”payoffproportionaltotheinvestment.Thelatterhasthecharacteristics ofthecommon-poolresourceasdescribedbyHardin.Thepayoffofparticipanti(πi) fromhisinvestment(xi)intheCPRcanbecalculatedfromthefollowingequation: πi

( )

x =bx ax xiii) .2  (1) Inthiscase∑xiisthesumoftokensinvestedbyallplayersintheCPRwhilea and barepositivevaluesthatareparametersoftheproductionfunction.Itshowsthat participant’sprofitisproportionaltohisuseofcommon-poolresource(bxi).Costs, asinpasturedescribedbyHardin,dependondecisionsmadebyallusers(axi(∑xi)2). Participant’sincomeinoneiterationoftheexperimentiscalculatedasasumof payoffsfrombothmarkets. Inthisdesigntheresourcedoesnotchangethroughoutthewholeprocedure.The samesetofdecisionsmadebyplayersalwaysyieldsthesameoutcomeregardlessof theiractionsinpreviousiteration.Ostrometal.[1994,p.12]explainedthisproblem inthecontextofresourcedynamics:“One-shotgamesortimeindependentrepeated gamesareadequaterepresentationwhenthenaturalreplacementrateisatleastas greatascurrentandforeseeablewithdrawalratessothattheCPRisabletomaintain itself. Thistypeofdesignisaimedatansweringthequestionhowpeoplebehavewhen theyhavetochoosebetweenindividualandgrouprationalityinthecontextdescribed byHardin[Cardenasetal.2013].Thedynamicnatureofnaturalresourcessuchas fisheriesorforestsisomitted.Experimentsarecreatedtoanalyzehoweconomicand socialfactorsaffectthedecisionsoftheparticipantsfacedwiththisdilemma.They try,forexample,toanswerquestionsifculturaldifferences[Carpenter,Cardenas 2011]orpaymentsforecosystemservices(PES)andcommunication[Midleretal. 2015]influenceindividualandgroupoutcomes.Themodelitselfdoesnotmatch the exact nature of CPR but represents the core dilemma behind its use. These investigationsareimportant,buttheycannotanswerthequestionsifandhowthe dynamicnatureofnaturalresourcesinfluencethedecisionsoftheparticipants.

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Naturaldynamicsofcommon-poolresourcesinexperimentalresearch−currentstate… 155

3. Dynamics of natural resources

Renewable natural resources like fisheries or forests regenerate over time. The dynamicsofsuchecosystemsarecomplexandtheirbehavioris,inmanycases,hard topredict[Schefferetal.1993;Hirotaetal.2011].Inrealitythisweighsheavilyupon decisionsmadeinnaturalresourcemanagement.Nevertheless,formanyyears,even thesimplestdynamicsofCPRswerenotintroducedintoexperimentalresearch.As it was presented before, models were “static” as they did not change over time regardlessofparticipants’decisions.

The process of natural regeneration can be modelled with the “dynamic” representationsoftheresource.Aconceptofthesemodelsissimple.Whenpresented indiscretetimestepstheyshouldadheretothefollowing,abstract,model:

St+1=t S H

(

t,

)

. (2)

Thestateoftheresource(S)intimestept +1dependsbothonstateinprevious round and harvest done by the users (H). The dynamics of the CPR are hidden withinthetransitionfunction(t)whichdependsoncharacteristicsofthemodeled ecosystem. The nature of the resource state, harvesting effort and the transition functionarenotdefined.Thissimple,abstract,descriptioncanbeusedtomodel complex ecosystems as well as representations behind simple games with few possiblestatesoftheCPR.

Adding natural dynamics to the model can introduce new concepts into the experiment.Firstofthemisastablestate–itrepresentsthecasewhenthestateof theresourcedoesnotchangebetweentimesteps.Inrealitysuchasituationhappens iftheactionorinactionofusersdoesnotaffecttheCPRoritisabletoreturnto its previous state. Furthermore there is social optimum. It is defined as a set of harvestingdecisionsthatmaximizesthegrouppayofffromtheresourceusewithin giventime[Cardenasetal.2013].Asitreferstothegroupoutcomeasawholeit doesnotguaranteetheequalshareoftheincomeamongparticipants.Last,butnot theleast,thereisthemyopicNashequilibrium.Itisdefinedasasetofharvesting decisionsthatmaximizesplayers’individualpayoffineachoneoftimesteps[del PilarMoreno-Sánchez,Maldonado2010].Allthesecharacteristicsarenotpresent in“static”,iterateddesignsthatareusuallyusedinCPRresearch.Still,insimple models,theseconceptscanbeunderstoodbypotentialparticipantsintheresearch. Therefore,duringtheexperiment,theycanmakeinformeddecisions abouttheir resourceuse.

4. Fishery Game

Cardenasetal.introducedsimplemodelrepresentationofthefisheryinoneoftheir experiments[Cardenasetal.2013].Inthisdesigntheresourcecanbeinoneoftwo

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156 MichałPająk states,highorlow,thatrepresenttheavailabilityoffishstock.Inbothcaseseach playercanrestrainhimselffromusingtheresourceordecidehowhighorlowfishing effortcanbe.Individualpayoffinoneiterationoftheexperimentdependsbothon stateoftheresourceandplayer’sdecisionaspresentedinTable1. Table 1. Payoffsin“AFisheryGame”designedbyCardenasetal.[2013].Payoffsreceivedby participantsdependontheindividualharvestingeffortandstateoftheresource.Thevalueconnected witheffortisusedtocalculateparticipant’ssumofdecisions Resource Individualeffort

None(0) Low(1) High(2)

High(H) 0 7 8 Low(L1,L2) 0 2 3 Source:ownwork. Totalgroupfishingeffortaffectsthestateoftheresource.Whentheavailability offishishighandparticipants’sumofdecisionsisatleast5thefisherygoesinto lowstate.Itispossibleforresourcetorecover,butthetotalfishingefforthastobe atmost1fortwosubsequentiterations.Thestatesandtransitionsoftheresourceare depictedinFigure1.Ineveryiterationoftheexperimentallparticipantshaveaccess totwofisheriesthatarenotconnectedbutsharethesamepatternofbehavior.

H

L1

L2

E < 5 E ≥ 5 E ≤ 1 E ≤ 1 E > 1 E > 1 Figure 1. Graphrepresentingpossiblestatesofresourcein“AFisheryGame”designedbyCardenas etal.[2013].Valuesofrepresentthetotalfishingeffortthatleadstothetransitionintonextstate Source:ownwork. EventhoughthismodeloftheCPRisverysimpleitcontainsthemainfeatures of the dynamic representations that were mentioned before. When fishery is in

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Naturaldynamicsofcommon-poolresourcesinexperimentalresearch−currentstate… 157 highstateandtotalgroupeffortdoesnotexceed5,itremainsinstablestate.Social optimummeanskeepingtheresourceinthisstateforthemostoftheexperiment.It representsthesustainableuseoftheCPR.Still,inthelastiterationoftheexperiment, participantsshouldmaximizetheirefforttogetthemostfromthefishery.Onthe otherhandmyopicNashequilibriumleadstothedepletionoftheCPRinthefirst iteration.Intheendifallparticipantsfollowthisdecisionpatternitresultsinlower totalpayoffthroughouttheexperimentcomparedtosocialoptimum. ThegamewasusedbyCardenasetal.inThailandandBolivia,whereitwas checkedhowsimpleinstitutionsandmonitoringsystemaffectsdecisionsregarding the use of CPRs [Cardenas et al. 2013]. Furthermore the design was adapted by Prediger et al. [2011] to investigate how cultural differences between communal farmersinNamibiaandSouthAfricainfluencetheirdecisions.Inthiscasethebasic dynamicsofthemodelremainedintactbutfisherieswerechangedintograzingareas. OtheruseofthisdesignwereexperimentsconductedbydelPilarMoreno-Sanchez andMaldonado[2010]intheColombianCaribbean.Treatmentusedinthisresearch concentratedagainonhowinstitutionalarrangementsaffecttheoutcomesofgroups usingCPRs.Itintroducedacomplexmodeloftheresourcewithnon-linearpayoff andregenerationfunctions.Still,forthesimplicity,intheexperimentalresearchit wasreducedintorepresentationwithtwopossiblestatesofCPRandpayoffmatrix similartotheoriginalversionofthedesign.

5. Forestry Game

OtherdesigncreatedbyCardenasetal.[2013]is“ForestryGame”.Itrepresents forestconsistingof100treesthataredividedinto10rows.Ineachroundplayers haveanopportunitytodecidehowmanyofthemtheywanttocut.Theirpayoffis proportionaltoaharvestingdecisionandthesetreesareremovedfromtheforest. Afterthatthereisaregenerationphase.Onenewtreeisaddedtotheforestforevery rowthatwasleftintact.Eventhoughthedescriptionofthedynamicsissimplerthan in“FisheryGame”thesystemitselfismuchmorecomplex.Inthiscaseineach iterationtheCPRcanbeinoneof101differentstatesthatrepresentthesizeofthe forest. Socialoptimumforthisdesignmeansthattheforestshouldbeusedinsustainable wayforatleastsomepartoftheexperiment.Itmeanskeepingitinthestablestate thatwillenabletheCPRtoregenerateintoitsmaximalsize.AspresentedinFigure2, whentheexperimentlastsfor10iterations,afterthefifthroundaforestuseshould increase. This relates to the definition of social optimum − a set of harvesting decisions that maximizes the group payoff from the resource within given time. Ifplayersknowthedurationoftheexperimenttheyshouldincreasetheirprofitby increasingtheharvestinawaythattheywillcutdowntheforestcompletelyinthe lastroundofexperiment.Whenanumberofiterationsincreasesthesustainableuse oftheresourceshouldlastlonger.Ontheotherhand,myopicNashequilibriumleads

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158 MichałPająk tothedepletionoftheresourcebysixthround.Inthiscasethereisnorowof10trees presentintheforest.Itmeansthat,byregenerationrule,itwillremaininthisstate tilltheendoftheexperiment.Nonewtreeswillbeaddedtotheforest–theCPR havebeencompletelydepleted. 0 10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7 8 9 10 Fo re st a t t he e nd o f t he ro un d

Social optimum Myopic Nash equilibirum

Figure 2. SocialoptimumandmyopicNashequilibriumin“ForestryGame” Source:ownwork. IntheoriginaldesigncreatedbyCardenasetal.[2013]participantsfromThailand andColombiawereabletousesimpleinstitutionsandmonitoringmechanisms.It wascheckedhowtheyhadaffectedtheirmanagementofthecommonforest.Similar designwasalsoreproducedbySlavíkováetal.[2011]intheCzechRepublic,Slovakia andintroducedbyMagnuszewskietal.[2014]inBoliviaandUganda.Inthelast case there were no restriction on the communication during the experiment and participantscouldcreatetheirowninstitutions,performmonitoringandsanction othermembersofthecommunity.Furthermorethe“ForestryGame”wasusedby Ghateetal.[2013]asabasefortheirresearchconductedinIndia.Firsttheexperiments used original design with communication and no-communication treatments. In othersforestresourceswereseparatedintotimber,fodderandfuelwood.Eachtype haditsownsizeandhadregenerationrateof10%asintheoriginaldesign.Stillall oftheseforestresourcesshouldsumupto100units.

6. Spatial design

Janssenetal.[2008]intheirdesignintroducednotonlydynamicsoftheCPRbut also its spatial distribution. This experiment was conducted using computer

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Naturaldynamicsofcommon-poolresourcesinexperimentalresearch−currentstate… 159 simulation.Itrepresentedagridwith20x50cellsthatwaspartiallyfilledwithtokens representingtheresource,asshowninFigure3.Thesimulationtookplaceinreal-timeandplayersusedtheiravatartoharvesttheresourceinrealtime. Figure 3. GraphicalrepresentationoftheresourceinexperimentbyJansenetal.[2008]. Greentokensrepresenttheresource,yellowtokenistheavataroftheplayer

Regeneration happens in fixed moments during the experiment. Therefore it isdoneindiscretetimestepsasopposedtothereal-timeharvestingdecisionsby participants.Inthistypeoftheexperimentregenerationisstochasticanddepends onthelocationwithinthegamearea.Thiscreatesadditionalcomplexityconnected withsimulatingnaturalresourcesthatwasabsentindesignspresentedbefore.In thisexperimentregenerationruledeterminestheprobabilityofanewunitofCPR appearingonemptyspacecattimestept.Itisdefinedbytheequation: p t r n t N c

( )

= c − ( 1) . (3) Suchaprobability(pc)dependsonregenerationparameter(r)andthenumberof neighboringcellscontainingresourcetokeninprevioustimestep(nc)dividedbythe totalnumberofneighboringcells(N).

This design was used to explore how property arrangements such as private propertyoropenaccessaffectedtheoutcomesofthegroupandstateoftheresource. Therewereseveralresearchactivitiesthatusedthisdesignbutnoneofthemwas performedinthefieldwithrealresourceusers[Janssenetal.2008;Janssenetal. 2010;Janssen,Ostrom2008].

7. Issues and prospects – discussion

Threebasicexperimentaldesignsthathavealreadybeenpresentedinthisarticle introducevariousapproachesatmodellingdynamicCPR.Allofthemarerelatively

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160 MichałPająk

recentandinnovativeinthisfieldofresearch.Cardenasetal.[2013]evendescribe themas“newwave”ofexperimentaldesigns.Astheyarenewadditiontothefield they can generate controversies. At the same time they present completely new opportunities.

Firstofall,anecologistmayarguethatthesemodelsofCPRbearonlylittle or even no resemblance to real-life ecosystems. From their perspective they are notsimplebutsimplistic.Theylackmanybasicfeaturespossessedbysystems.In thedesignspresentedinthisarticletheresourceisdiscreteandhomogenous.Its spatialdistributionistakenintoaccountinonlyoneoftheseexperiments.Inreality fisheriesorforestsarecomplexecosystemsthatarehometovariousanimaland plant populations that interact with each other. Heterogeneity, feedbacks within the system and spatial distribution is a key factor to understand their behavior. FurthermorethenatureofpossiblehumaninterventionsintotheCPRsandtheir potentialresultsaddsevenmorecomplexitytothisproblem.Theseaspectsarekey factorsinresourcemanagementand,inpresenteddesigns,areaddressedinaversion thatmaybeviewedasoversimplified. Thereforeitiscrucialtoincorporateatleastsomeofthesecharacteristicswhen creatingnewdesigns.Itmaygivearesearcherinsightintotheinteractionsbetween human communities and natural resources systems. Addressing this complexity innewdesignsisanopportunity,butitalsocreatesadditionalproblems.Firstly, the main feature of the experiments should be simplicity. “Fishery Game” and “ForestryGame”aredesignedtobeassimpleaspossible.Itisduetothefactthat theywereconductedintheruralsocietiesofCPRusers.Morecomplicateddesign withadvancedmechanicsmaybemorerealisticbutitcanbetoocomplexforthe participantstounderstand.Iftheycannotpredicthowtheiractionsaffectstateand behaviorofthemodeltheycannotmakeinformeddecisionsthatcanbebasedon furtheranalysis. Anotherproblemcomesdirectlyfromthedynamicnatureofpresenteddesigns. As it was mentioned before, decision environment changes over time due to the decisionsofparticipantsandnaturalprocessesreproducedinthemodel.Therange ofpossibleactionsandtheirconsequencesmaybedifferentineachiterationofthe experiment.Itcreatesaquestionhowpeoplereacttosuchchanges.Forexample wecanassumethatparticipantscandospecificactionswhentheyarefacedwith thescarcityoftheresource.Itcanbetheorizedthattheycanlowertheirdecision to let the CPR regenerate. Alternatively they can increase harvest to secure for themselvesatleastsomeofthepayoffassumingthatotherswillfollowthemyopic Nash equilibrium. Unfortunately experiments that have been presented in this articledonotaddresssuchquestions.Whenstatisticalanalysisisapplied,itisbased onsimpletoolsusingmeanpayoffsintwotreatmentgroupsastheirinput.Thisgives informationwhichgroupwasabletoearnmorefromtheCPR.Basingonmodels’ characteristics,itcanbetranslatedtoinformationwhichgroupwasabletosustain itlonger,butdoesnotgiveanyinformationaboutharvestingdynamics.Multiple

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Naturaldynamicsofcommon-poolresourcesinexperimentalresearch−currentstate… 161 decisionpatterns,drivenbyvariousrationales,canyieldthesamefinalresultand theywillbeundistinguishable.Introducingdesignsandstatisticalmethodsthatcan helpinvestigatethisproblemisanecessarystepinthisareaofresearch. Last,butnottheleast,thekeytounderstandthedynamiccontextofdecision patternsintheseexperimentscanbegametheory.Itstoolsandmethodsarewell established in economy as a way of analyzing actions undertaken by rational individuals. Experiments presented in this article use concepts based on game theorysuchassocialoptimumandmyopicNashequilibrium.Regrettablypresented designsrepresentonlyasuperficialanalysisofthissubject.Agoodexampleofthis problemis“ForestryGame”wherebothofthesedecisionpatternswerecalculated (seeFigure2).Firstofallthesetofactionsthatislabelledassocialoptimumis onlyoneofpossiblesequencesthatfulfillitsdefinition.Thisisduetothediscrete natureoftheresourceandregenerationrule.Therefore,inthisandsimilardesigns, researchersshouldpresentsocialoptimaratherthanothers.Furthermorethereis animportantquestionofmyopiaofNashequilibrium.In“ForestryGame”,inone iteration, Nash equilibrium is indeed harvesting maximum possible number of resource.However,itmaynotbethecaseforthegameasawhole.Inthepresented experimentaldesignstherewasnoattemptatcalculatingNashequilibriumforthe duration of the experiment. This can be interpreted as the approximation of the discountfactor.Followingthisargumentpeopleconcentrateontheircurrentpayoff anddonotthinkaboutthefutureincomefromtheCPR.Itmaybethecase,but itishardtoarguethatprospectprofitsdonotcountatall.Whatismore,thereis alsoaproblemwiththecomplexityofcalculatingNashequilibriumforthewhole game.Thisexceedscurrentandforeseencomputationalcapabilitiesofcomputers. Calculatingitrequiresdevelopingoradaptingexistingapproximationmethodsthat areusedin“static”games.Itstillrequiresresearchandjointeffortbymathematicians andeconomists. Summingup,experimentalgameswithdynamicrepresentationoftheresource give researchers an opportunity for more detailed insight into decision making processoftheCPRusers.Currentresearchisbasedonsimplemodelsandisthefirst steptoestablishsuchgamesasvalidareaofscientificexploration.Theystillrequire furtheranalysistoanswermethodologicalissuesthatemergefromthesedesigns.

References

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