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Measuring

effectiveness,

efficiency

and

equity

in

an

experimental

Payments

for

Ecosystem

Services

trial

Adrian

Martin

*

,

Nicole

Gross-Camp,

Bereket

Kebede,

Shawn

McGuire

UniversityofEastAnglia,SchoolofInternationalDevelopment,NorwichNR47TJ,UnitedKingdom

1. Introduction

Early proponents of Payments for Ecosystem Services (PES)

arguedthattheyofferedapotentialimprovementuponIntegrated

Conservation and Development Projects (ICDPs). ICDPs were

consideredtobeineffectiveduetooverlyambitiouscombinations

ofenvironmental and social goals, and a lack ofcausal linkage

between delivery of social benefits and desired conservation

outcomes(FerraroandSimpson,2005;Ferraro,2001;Ferraroand

Kiss,2002).Whilstrecentstudiesidentifysomepositiveoutcomes

fromICDPsin somecases(Blomleyetal.,2010;Morgan-Brown

etal.,2010),advocatesofPESproposethatmakingbenefitsdirectly

contingent on provision of outcomes would, in some

circum-stances,bemoreeffectiveandthatenablingcompetitionamong

possible service providers would also lead to efficiency gains.

Therearestillveryfew rigorousempiricalstudiesthattest this

proposition(Mitevaetal.,2012)andthispapercontributestothis

knowledgegap.

Such ‘direct paymentsfor conservation’ werewellknown in

Europe,wherepayingfarmersforconservation-orientedpractices

wasalreadyanimportantpartoftheCommonAgriculturalPolicy’s

environmentpillar (Gomez-Baggethunetal., 2010). There were

someconcernsabouttheequityoftheseschemes,asfarmerswith

thelargestlandholdingswereabletoprovidethemostservicesand

receivedthegreaterpayments(Wilson,1997),butthiswasoffsetby

thepoliticalexpedienceoffindinganeligiblewaytopackagefarm

subsidies.However,concernsaboutthedistributionaloutcomesof

PESschemeshavebecomemoresalientbecausePESisnowmore

widespread in developing countries, in contextswhere poverty

alleviationisoftenadesiredco-benefitofconservation

interven-tions(Pagiolaetal.,2005).ThusthequestionofwhetherPESismore

effectivein achievingdesired outcomesandmore cost-efficient

thanitsalternativesmustbeconsideredalongsidequestionsabout

itsimpactsonpovertyand,moregenerally,equity.Putsimply,will

efficient modes of providing environmental goods bypass the

poorestandbeconsideredinequitable?Wethinkthisquestionwill

becomeincreasingly importantbecause(a)those livingnear to

forestsandterrestrialprotectedareasinthetropicsarelikelytobe

poorerthantheircompatriots(Ferraroetal.,2011;Sunderlinetal.,

2008),(b)theselocationswherepovertyandbiodiversitycoincide

willbeincreasinglytargetedbyPESschemessuchasREDD+,for

exampleduetoincreasingconfidenceintheevidenceofsynergies

between biodiversityconservationand carbonstorage (Parrotta

et al.,2012), and (c) becausethepoor sellcheap due tolower

ARTICLE INFO

Articlehistory:

Received18November2013 Receivedinrevisedform18April2014 Accepted10July2014

Availableonline6August2014 Keywords:

Ecosystemservices Conservationincentives Conservationeffectiveness Motivationcrowdingtheory Rwanda

ABSTRACT

ThereiscurrentlyaconsiderableefforttoevaluatetheperformanceofPaymentsforEcosystemServices asanenvironmentalmanagementtool.Theresearchpresentedherecontributestothisworkbyusingan experimentaldesigntoevaluatePaymentsforEcosystemServicesasatoolforsupportingbiodiversity conservationinthecontextofanAfricanprotectedarea.Thetrialemployeda‘beforeandafter’and‘with andwithout’design.Wepresenttheresultsofsocialandecologicalsurveystoinvestigatetheimpactsof thetrialintermsofitseffectiveness,efficiencyandequity.Wefindtheschemetobeeffectiveatbringing aboutadditionalconservationoutcomes.However,wealsofoundthatincreasedmonitoringissimilarly effectiveintheshortterm,atlowercost.Themajordifference–andarguablythesignificantcontribution ofthePaymentsforEcosystemServices–wasthatitchangedthemotivesforprotectingtheparkand improvedlocalperceptionsbothoftheparkanditsauthority.Wediscusstheimplicationsofthese resultsforconservationefficiency,arguingthatefficiencyshouldnotbedefinedintermsofshort-term cost-effectiveness,butalsointermsofthesustainabilityofbehavioralmotivesinthelongterm.This insighthelpsustoresolvetheapparenttrade-offbetweengoalsofequityandefficiencyinPaymentsfor EcosystemServices.

ß2014TheAuthors.PublishedbyElsevierLtd.ThisisanopenaccessarticleundertheCCBY-NC-SA license(http://creativecommons.org/licenses/by-nc-sa/3.0/).

* Correspondingauthor.Tel.:+4401603593723. E-mailaddress:[email protected](A.Martin).

ContentslistsavailableatScienceDirect

Global

Environmental

Change

j ou rna l hom e pa ge : w w w. e l s e v i e r. c om/ l o ca t e / gl oe n v cha

http://dx.doi.org/10.1016/j.gloenvcha.2014.07.003

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opportunitycostsandthereforePESismorelikelytotargettheir

lands (Kosoy and Corbera,2010). In this paper, we assess the

effectiveness,efficiencyandequityofaPESschemeinRwanda.As

the argument proceeds, we ask whether equity, rather than

efficiency,mightin fact bethegreatestadvantagearising from

ourPESand,following-on,whetherefficiencyandequitycanreally

beconsideredtobeindependentoutcomes.

2. Theory

Wedefineeffectivenessastheachievementofstatedobjectives

additionaltowhatwouldhavebeenachievedintheabsenceofthe

PESintervention.Weprovisionallydefineefficiencyinutilitarian,

economictermsasmaximizingtotalwelfare(Adgeretal.,2003);it

typicallyimpliesa‘valueformoney’characteristicwherebyhuman

wellbeingoutcomesareachievedatleastcostsothatwecanafford

moreofthem.

Equityisnotsoamenabletoauniversaldefinitionbecauseitis

typically understood through reference to both objective and

contextual assessments (Miller, 2013). In pursuit of a more

objective and universal benchmark of equity, conservation

practitionershavetendedtoconsider‘equity’tomean‘pro-poor’

(Pascual etal., 2010). Thismore oftenreferstoimpacts on the

distributionofmaterialcostsandbenefits,but canalsoreferto

proceduralinclusion,waysofinteracting,andimpactsonauthority

and control. Oneway of operationalizing ‘pro-poor’ is tothink

abouttheimpactofaninterventiononthedifferencebetweenrich

andpoor–doesitincreaseordecreasethegap?Bythisreading,a

‘weak’renderingof‘pro-poor’isthatenvironmentalmanagement

interventionsshould‘donoharm’tothepoor(Barrettetal.,2011).

A slightly stronger, Rawlsian egalitarian reading, is that any

deviationfromequaltreatmentshouldbepositivelyinfavorofthe

poorand,mostparticularly,thepoorest(Rawls,1971).Inpractice,

thistendstobeinterpretedasacallforpositivediscrimination,

witha‘good’outcomebeinganarrowingofthegapbetweenrich

andpoor(Brock,2009).

Asecondwayofoperationalizing‘pro-poor’thatiscommonin

theconservationliteratureistoassociateitwithacommitmentto

upholdhumanrights(Greiberetal.,2009;Kashwan,2013).Fora

rights-basedapproach,pro-pooroutcomescanbeassessedfrom

theperspectiveofthresholds.Forhumancapabilitiesandrights

thinkers,equityoutcomesareatleastpartlyjudgedbywhether

statesandotheragentsarestrivingtosecureminimummaterial

andsocialthresholds –supportingthosecapabilitiesconsidered

minimally necessary tolive a valued and dignifiedlife (Brock,

2009;DoyalandGough,1991;Gough,2004;Nussbaum,2011).

Giventhatourfocalcountry,Rwanda,isalowincomecountry

withhighlevelsof ruralpoverty,we consideritappropriate to

considerapro-poorconceptionofequity,especiallygivenprevious

evidencethatthepoorhaveoftenfounditdifficulttoparticipatein

PESschemesduetohightransactioncostsorstructuralbarriers

(Corberaetal.,2007a,b;Engeletal.,2008).However,itisimportant

torecognizethatwhatconstitutes anequitabledistributioncan

varyfromsituationtosituationaswellasfrompersontoperson:

forexamplean‘equalshare’mightbeconsideredtheequitableway

to distribute votes, whereas ‘need’ might be seen as a more

equitablebasisforallocationof aid,andmerit thebestwayfor

allocating employment (Deutsch, 2000; Martin et al., 2014).

Furthermore, different individuals and groups, perhaps with

affinities to different political philosophies, may view each

situation differently, giving rise to plural, rational ideas about

theright thing to do (Sen, 2009). Moralvaluation is therefore

contextual, determined by individual and social characteristics

acrosstimeandspace,andnotreducibletosingularnotionsofthe

‘good’,tosimpleaggregation,ortoindividualisticanalysis(Sandel,

1998). Thus we reject theusefulness of looking for a singular,

universal definition of the good, such as that presented in

utilitarian political philosophies (Nussbaum, 2011; Sen, 2009).

Ourinterestinthispaperistheplace-boundconceptionsofequity

that areusedbydifferentgroupstoconstructclaimsaboutthe

fairness of conservation interventions and that we ultimately

considertoberelatedtoconservationoutcomes.

It is important to note that the acceptance of a pro-poor

conceptionofequity,aswellasaninclinationtowardapluralist

conceptions of the ends of justice, puts us in opposition to

utilitarianism (Rawls,1971; Sen, 2009). Whilst utilitarianism is

equitabletowardthepoorinthesensethat enhancementtoall

people’s utility is equally valued, an ultimate concern with

aggregate utility is problematic. Firstly, to define the ends of

justiceasthemaximizationofaggregateutility(thegreatergood)

ispotentiallyconsistentwithallowingthepoortobecomepoorer

orforminimumcapabilitythresholdstobetransgressed.Secondly,

theuseofasinglemetric(utility)assumesthatdiversevaluesare

ultimatelycommensurateandsuitedtoaggregation.Weflagthis

point at the outset because it creates a tension between our

conceptionsofefficiencyandequity.Efficiencyisconcernedwith

totalwelfareirrespectiveofitsdistribution,andsocanbeatodds

withequitygoals. For example,throughourefficiency lens we

might not be concerned if the poor sell their environmental

services‘cheap’,whereasthroughourequitylenswemightbe.

Theapparenttrade-offbetweencommonworkingdefinitionsof

efficiency (utilitarian, aggregate welfare gains) and equity

(egalitarian)cutstotheheartofmanyenvironmentaldilemmas,

presentingatensionbetween‘pursuitofthegreatesthappinessfor

thegreatestnumber,andtheassertionofindividual,localorethnic

rightsthat oughtnottobeviolated,evenattheexpenseofthe

aggregate good’ (Rayner and Malone, 2000). Such tension has

recentlycometotheforeinacademicdebateaboutPES(Corbera,

2012;Gross-Campetal.,2012a;Kinzigetal.,2011;Pascualetal.,

2010). Whilst nobody denies that equity is important, there is

disagreementastowhetheritshouldbeafirstorderobjectiveof

PES. Whilst there is a spectrum of thinking, we think it is

reasonable tosaythatthedominantviewof PES holdsthat, in

situations where PES is appropriate, utilitarian efficiency is its

principleadvantageoveralternatives,andshouldbetheoverriding

objectiveforthePESinstrumentitself(FerraroandSimpson,2005;

Kinzigetal.,2011;Wunder,2007).Thispaperquestionsthisview,

asking whether equity might in fact be so deeply linked to

efficiencythatthelattercannotbeprioritizedor,alternatively,that

equityrather than efficiencymight sometimesprove tobethe

primary advantage of PES over some alternative conservation

practicessuchasafocusonruleenforcementalone.

The prioritizationof effectivenessand efficiencyposessome

problems for PES in practice. Firstly, there is the problem of

measuringtheadditionalgoodprovidedbytheinterventiondueto

scientific uncertaintyaboutthelinkbetweenland management

practices,ecosystemfunctionsandserviceprovision(Fisheretal.,

2009). Where this problem can be addressed,it will normally

require greatly increasing the transaction costs of monitoring.

Secondly,thereisaproblemoflegitimacy,becausenoteveryone

agreesthatefficiencyconcernsshouldprevailoverequityonesin

PES design (Pascual et al., 2010) and because humankind’s

deontologicalattachmenttofairnessisconsideredtobeawidely

distributedhumancharacteristic(Brock,2009;Rawls,1971;Sen,

2009)thatmight evenberootedinourneuralprocessing(Hsu

etal.,2008).Thefactthathumansholdequitysodearmayhelpto

explainwhyenvironmentalconflictsoftenarisefromcompeting

visionsoffairness(Harvey,1996;Redpathetal.,2013;Schlosberg,

2004;Whiteman,2009)andindeedwhy‘real’PESschemescannot

avoid meeting legitimacy requirements and therefore seldom

resembletheirimaginary,‘efficient’form(MilneandAdams,2012;

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whetherourexperimentalPESschemewaseffective,efficientand

equitable, and by considering the relationship between these

values.

3. StudysiteandPESfeatures

The Nyungwe National Park (1013km2) is part of the

biologicallyrichAlbertineRift(Plumptreetal.,2002)andoneof

thelargestremainingblocks ofhighaltituderainforest on the

continent.Theparkwasinitiallygazettedasaforestreserveinthe

early1930sbuthadlittleruleenforcementupuntilthelate1980s

when the management authority, Rwanda Development Board

(RDB), was first mandated tooversee activities in thereserve.

Althoughclearingoftheforestforagriculturewasprohibited,local

rightstocollectwoodwererecognizedandupheldin theearly

1970swiththeinitiationofabufferzoneoffast-growingexotic

trees(Weber,1989).Thereservetransitionedtonationalparkin

2004 and is now a strictly protected area with no human

inhabitants or permitted use. There are a totalof 52 cells (an

administrativeunit consisting of a cluster of 3–6 villages, and

populationof1500–6000people)abuttingthepark.Ourproject

wasbasedinatotalofeightofthesecells–fourexperimentaland

fourcontrols(Fig.1).

Currently, there are only a small number of published PES

evaluationsthatseektorigorouslyestablishcausalimpactthrough

use of controls to construct counterfactuals (Pattanayak et al.,

2010).Furthermore,theseareallinLatinAmericaandallinvolve

PESschemesthatincentivizemanagementofhouseholdfarmor

forestplots(Mitevaetal.,2012).Thesiteforthisstudyistherefore

unusual,bothforbeinginAfrica,aswellasforusingPESforthe

managementofpublic-ratherthanprivately-managedlands.This

isacritical sitecharacteristicbecauseitiswellestablishedthat

tenure, amongst other institutional factors, is important for

understandingtheoutcomesofPESschemes(Tacconietal.,2012).

Thereisconsiderabledebateintheliteratureaboutwhatcan

rightfullybedescribedasa PES,andwhatshouldbeconsidered

insteadas‘PES-like’(Engeletal.,2008;Sommervilleetal.,2009).

ThedefiningfeaturesofaPESschemearewidelycitedasbeing(a)

thatitisvoluntary,(b)thatadefinedenvironmental(?)serviceis

bought by one party from another party, and (c) payment is

conditionalonprovisionofthatdefinedservice(Wunder,2005).In

ourownPEStrial,(a)communitiesenterintocontractsvoluntarily,

(b) we (a research partnership backed by EU funding) pay

communitiestoprovidespecifiedconservationservices, and (c)

paymentsareconditionalbasedonmeasuredperformanceofthose

services.Indeed,ourPESwasdesignedwiththeseverycriteriain

mindandonthefaceofit,thereisaclearmatch.Butaswithmost

schemeslabeledasPES, therearegrayareas.First, somemight

questionwhetherparticipationis voluntaryforeach individual,

giventhat entryisa collectivedecision. Second,theservice we

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valueisbiodiversityconservationbutwhatweactuallypayforand

monitor are proxy measures that we think will lead to this

(reduced tree cutting, hunting and mining, and increased tree

planting).Third,somemightarguethatsomeofthesethingsare

coveredbyrules oftheparkand aPES shouldnotpayfor rule

abeyance. Fourth, one might also argue that PES transactions

shouldinvolve marketexchange, orpurchase by private sector

service buyers – although such criteria would make ‘real’ PES

vanishinglyrare(MilneandAdams,2012).Weconsiderthekey

criteriatobedirectlinkage,conditionalityandtheexpectationof

additionality.Regardinglinkage,whatwepayforcanreasonably

be expected to have a direct impact on the target service –

biodiversity. Regarding conditionality (?), our monitoring of

performanceinvolvedsystematicmonitoringoflevelsofprovision,

withpaymentsscaledaccordingly.Concerningadditionality,the

useofcontrolswasdesignedtotestwhetheranymeasuredeffects

wereaboveandbeyondthosebroughtaboutbypre-existingrules

andenforcement.Onbalancewethinkithelpfultodescribethisas

aPES.

We provided financial incentives tocommunities to reduce

activities that were widely considered to be detrimental to

biodiversity conservation, predominantly hunting with snares,

cuttingtrees,andmining.Atthesametime,weincentivizedthose

activities outside of the park that were considered to support

reduction of these in-park activities in the long-term, mainly

private tree and bamboo planting. Performance was measured

once a year and based upon the collective actions of the

community. Specific performance indicators and targets were

negotiated through community meetings in each of the four

participatingcells.Performancetargetswerealsoinformedby,and

measured against, baseline assessments. Methods of payment

were partly negotiated with communities. In particular, each

participatingcelldecidedtheproportionoftotalpaymenttobe

retained for communal activities and the proportion to be

distributedat thehouseholdlevel(Gross-Campetal.,2012a,b).

Allpaymentswerecashratherthanin-kind,withcommunitieson

average deciding to distribute 68% of total payments in equal

shares to each household, and to retain the remainder for

investmentin community activities. Bothparts werediscussed

atpublicmeetingsand werebothpresentedas partofthePES

payment.

Communitieshadcompletediscretionoverhowtospendthe

collective part of the payment, spending it on, for example,

provisionoftreesaplingsandpurchaseofgoatsforpoorerfamilies.

Thelevelofpaymentwasupto25USDperhouseholdannually,

determinedtobetheaverageopportunitycostforreducedpark

access(usingMasozeraandAlavalpati,2004).Itwasdetermined

through consultation with park authorities and community

representativesthat theactualpayment(conditionally awarded

andscaledaccordingtoperformancemonitoring)wouldbepaidas

a flat, undifferentiated rate to each household, regardless of

household-levelopportunitycost.Elsewhere,wepresentevidence

that this equal distribution was the most widely held to be

equitableatlocallevel,whilstdistributionbyopportunitycostwas

theleastpopularconceptionofequity(Martinetal.,2014).Ashas

beenarguedinSection2,conceptionsofwhatisfairandequitable

aredeterminedincontextandthisisapotentialchallengeforany

pre-determinedviewthatthestudyofopportunitycostcanhelp

establishpaymentlevelsthatarefairandefficient.Weshouldalso

notethat,whilstitwouldhavebeenpossibletouseourbaseline

householdsurveystodifferentiatehouseholdopportunitycosts,

doingthis rigorouslywould haveaddedconsiderablytoproject

transactioncosts.Furthermore,measuringperformanceat

house-holdlevelisimpracticalduetothepublicnatureofthegood–a

NationalPark.Thus,therewasinpracticesomethingofapragmatic

alignment between what communities wanted, and what was

possible.Intermsofguidingobjectives,therewasalsopragmatic

alignmentbetweeneffectivenessandequitygoalsasthedesignof

thePESwereadaptedtolocalnorms.Forexample,forthePEStobe

successfullylauncheditwasallbutessentialtoalignwithlocal

stakeholders’ views about what constituted fair distribution of

payments.

The counterfactual was established through (1) control

communitieswithnoPESbutwithsimilaradditionalmonitoring

efforttotheexperimentalunits(e.g.similarsurveyingofhuman

activityalongtransectsintheforest)and(2)therestofthepark

whichhadnoPESandnoadditionalmonitoring.The

counterfac-tual that we constructed would clearly not satisfy the most

stringent standards for Randomized Controlled Trials (RCTs).

Perhaps most importantly, it was not considered practical to

employdouble-orevensingle-blindingintothedesign,andthus

membersofbothexperimentalandcontrolcellswerepotentially

awareoftheirroles.Ashasbeennoted,thechallengeofmeasuring

theeffectivenessofPEStypicallyrequiresasignificantandcostly

monitoringeffort.Inthiscase,monitoringcouldnotbeconducted

remotelyandrequiredon-the-groundobservationofforest-based

activitiesthroughregularvisitsbymonitoringteams.

Asaresearch-orientedtrial,theshortdurationoftheproject

meantthatpaymentsonlylastedfortwoyears,whichisashorter

commitment period than most PES schemes. We consulted at

lengthwithlocalauthoritieshowbesttohandlethisinorderto

avoidanypotentialnegativeimpactswhenpaymentsfinished.The

resultantapproachwasoneofopencommunication–tostressin

allofourdealingswithcommunitiesandotherstakeholdersthat

this was a temporary trial. For communities, this was hardly

unusual,inthesensethatitconformstotheirexperienceofproject

interventions.

4. Methods

The basic design of the study was (a) ‘with and without’,

through selection and monitoring of both experimental and

controllocationsand(b)‘beforeandafter’throughbaselinesocial

andecologicalsurveysin2009andsubsequentsurveystomonitor

change.WeestablishedanexperimentalPESinfourselectedcells

adjacenttotheNyungweNationalPark.Threecellswererandomly

selected with the fourth (Uwumusebeya) being intentionally

includedbasedontheexpressedinterestofourprojectpartners

and park authority. Uwumusebeya is adjacent to the largest

bambooecosysteminthepark(3174ha)whichishometoarare

and endemic primate, the owl-faced monkey (Cercopithecus

hamlynii).Thebamboohasmultipleuses,includingconstruction,

household and agricultural instruments such as baskets, and

makingsnaresfortrappinganimals.Thefourcontrolcellswere

located adjacent to experimental cells in an effort to improve

matchingandpotentiallycaptureproblemsofleakageofhuman

activities fromexperimental cells. We considered thepotential

benefitsofplacingcontrolsfurtherfromtheexperimentalcells(i.e.

totrytoreducecontamination)butdecidedthatthiswouldadd

significantly toourmonitoring costsand stillnot eliminatethe

likelihood that our presence (forestmonitoring and household

surveys) would influence people’s behavior. Distant controls

wouldequallyhavebeenlesswellmatched.

HumanactivitymonitoringbythePESteam(ReDirect).Human

activityin theparkwasmeasured bywalkingtheexistingtrail

systemwithinadefinedsub-sectionoftheparkabuttingeachcell

andgeo-referencingdefinedhumanactivitiesastheywerefound.

The existing trail system was geo-referenced in 2009 when

baseline information was collected and followed during

subse-quentsurveys.Atotalof7surveyswereconductedineachofthe8

cellsoverthecourseofthestudy.Themonitoredareawasdefined

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boundary into thepark using ArcGIS v.9.3. This distance was

chosen based on previous research that foundhuman activity

tendstooccur within1.5km of protectedarea boundaries and

sharplydeclinesatadistancegreaterthan5km(Waas,1995).We

examinedwhetherhumanactivitiesdifferedsignificantlybycell

type(controlversusexperimental)throughtimeusinga

general-izedlinearmodelonthemeannumberofhumanactivities(snares

andwoodcutting) usingRversion2.15.1 andtheMASS7.3-18

package.We utilized a log-link function and negativebinomial

modelbasedonoverdispersionofthedatasetinthePoissonGLM.

Humanactivitymonitoringbytheparkauthority.Ranger-based

monitoring (RBM) data were collected by the park authority,

RwandaDevelopmentBoard,ourpartnersonthisproject.TheRBM

iscollectedbyrangersthatextensivelypatrolthepark’sexisting

trailsystemon anapproximatelydaily basis, geo-referencing a

broadnumberofobservationsofhumanimpact.Weutilizedthe

RBMdataoverlappingwiththeperiodofourPES(2009–2012)to

examinethepark-widehumanactivities(i.e.limitedtosnaresand

woodcutting)aswellasactivitieswithinareaswherethePESwas

active.Patrolsand theirassociated findingswereisolatedusing

ArcGISv.9.3andtheshapefilesofourmonitoredareas.Similarto

thedatacollected byReDirect, weutilized a negativebinomial

GLMtodeterminewhetherhumanactivitydifferedsignificantly

through time in areas where the PES was active (control and

experimental cells) from that of park-wide trends. To test for

trendsovertime,Mann–KendalltestswererunusingtheKendall

2.2package.

Livelihood survey data. We collected extensive livelihood

informationinalleightcells,experimentaland control,in2009

and 2012. Forty-eight households in each cell were randomly

selectedforinterviews(N=376,8householdswerelostin2012

due to death and movement). The baseline interviews were

conducted in September 2009 and the same households

re-interviewedattheendofthestudyinearly2012.Theseinterviews

enabledustocalculatehouseholdconsumptionasameasurement

ofwealthandincludedthemarketvalueofitemsconsumedfrom

thepark,fooditems,durablegoods(e.g.bicycles,radios),social

events, and educational expenses. Mean market values were

establishedthroughaseriesofpricesurveysinmarketsclosetothe

cells where interviews occurred coinciding withthe livelihood

interviewsin2009and2012.Allanalysesofthesurveydatawere

doneinSPSS.

5. Results

5.1. Effectiveness

Ageneralizedlinearmodel(GLM)showedsignificantlyfewer

humanactivitiesintheexperimentalcells(Celltype(exp) 0.98)

thancontrolcellswithasmalldownwardtrendforbothcelltypes

over the course of the study period (Month 0.04; Table 1).

However,therewasnosignificantinteractionbetweencelltype

andmonth(dataformorecomplexmodelswithinteractionterms

notshown,modelselectioncarriedoutvialikelihoodratiotests)

indicatingthatthisdownwardtrendwasofasimilarnatureinboth

experimentalandcontrolcells(Fig.2).Inotherwordsalthoughthe

modelsuggeststhatexperimentalcellshavealowerrateofhuman

activitythancontrols,therateofchangethroughtimeissimilar

suggestingthatsomethingisinfluencinghumanactivityinboth

celltypes.

We generatedalternative hypothesestoexplainthis finding.

Our null hypothesis proposed that the PES intervention was

ineffectiveinsomuchashumanactivitywaschangingasa

park-wideprocessand that thetrendsobservedin themodelabove

(Table1)weremerelyareflectionofthatprocess.Weconsidered

thisspecificallyinrelationtotheserviceofbiodiversitygainsfrom

reducedhumanactivitywithinthepark.Totestthisweutilized

ranger-based monitoring (RBM) data collected by the park

authority(RDB) tocomparepark-widehumanactivitywithour

experimental and control cells. The selected RBM data model

(againchosenvialikelihoodratiotestsofnestedmodels)indicated

significantdifferencesinthelevelofhumanactivitybycelltype

(Table 2). Human activity in the experimental cells was

significantly less than that of the controlcells (Cell type (exp)

2.661),whereastheactivitythroughouttheparkwashigherbut

notsignificantlyso(Celltype(park-wide)0.779).Furthermore,an

examinationofmodeltermsincluding‘Month’showedthattrends

over time were different in all three cell types, with a slight

increaseinobservedhumanactivitythroughouttheparkovertime

aswellasinexperimentalcells,andaslightdecreaseincontrol

cells (Month:Cell typeinteractions).However, theneteffectin

experimentalcells (theestimatevalueforCelltype (exp)isthe

singlegreatestvalueofthemodel)suggeststhatthelevelofhuman

activityintheseareasissignificantlylowerfromthatinboththe

control and parkwide, i.e. something is strongly suppressing

humanactivityinthesecells.

AdditionalMann–Kendalltrendtestscorroboratedthefinding

that park-wide activities are increasing slightly, but lacked

significance for a downward trendin control cells, presumably

dueinparttotheweaknessofthetrend(park-wide:tau=0.23,

p=0.05,control:tau= 0.15,p=0.20;Fig.3aandb).Experimental

Table1

Asummaryoftheselectedgeneralizedlinearmodel(vialikelihoodratiotestsfor nestedmodels)usingalog-linkfunctionandnegativebinomialdistributionto investigatechangeinhumanactivitythroughtimeincontrolandexperimental cellsascollectedbythePESteam(ReDirect).Underthismodel,logsofexpected monthlyactivitycountsinexperimentalcellsareexpectedtobealmostoneunit lowerthanthoseofcontrolcells.(0‘***’,0.001‘**’,and0.01‘*’).

GLMhumanactivity(PES) Snare&treecuttings

Estimate zvalue

Intercept 2.05 6.75***

Numberofpatrols 0.37 6.16***

Month 0.04 2.30*

Celltype(exp) 0.98 3.45***

Log-likelihood 298.65

AIC 308.65

Samplesize 20

Fig.2.Themeannumberofhumanactivitiesorthreatsperpatrolthroughtimein controland experimental cells usingdatacollected by thePES team (N=20 samplingmonths).

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cellssimilarlylackedsignificanceforachangeinhumanactivity

(experimental:tau= 0.12,p=0.32;Fig.3c)yetactivityappearsto

be decreasing after the first initial months of the project,

suggesting that this change may be due in part to the PES

intervention(Fig.3d;anobservationsupportedbyasubsequent

Mann–Kendalltest,experimentaltruncated:tau= 0.30,p=0.02).

Wethereforerejectthenullhypothesisthatthetrendsinthefirst

model(Table1)aremerelyareflectionofpark-widetrendsand

concludethatthePESinterventionhashadasignificantimpacton

levels of human activity in experimental (and potentially

neighboring control) cells,but withexperimentalcells showing

thelowestactivitylevelsofall.

5.2. Efficiency

The second alternative hypothesis concerning the lack of a

significantdifferencebetweentherateofchangeinhumanactivity

levelsthroughtimebetweencontrolandexperimentalcells(ofthe

ReDirectdatasetTable1)isduetocontaminationofcontrolsby

theadditionalmonitoringeffort–i.e.theyarenottrue

counter-factuals.Thedifficultyofprovidingadequatecontrolsin

conser-vationresearchiswellknown(SouleandOrians,2001).Onereason

forthisisthatitisbothimpracticaland/orunethicaltoapplya

double-blinded or even a single-blinded experimental design.

Resulting bias can include the Hawthorne effect, whereby

participants change behavior in response to being monitored,

ratherthanorinadditiontorespondingtotheinterventionitself;

andtheJohnHenryeffect,wherebycontrolschangetheirbehavior

in response to knowing that they are being compared to an

experimentalgroup(FuenteandWhittington,2012;Zwaneetal.,

2011).JohnHenrywasasteelworkerwhoworkedhimselftodeath

in the 1870s having learned that his performance was being

compared tothat ofa steam-powered drill(Irvingand Holden,

2013).Inourcasetherewereatleasttwounavoidablesourcesof

contamination.Firstly,itwasnotpracticaltocreatecontrolsthat

we could be certain to be blind to their role. Indeed, it was

necessarytoconsultwithlocalleaderstoensurethattheywere

Table2

Asummaryoftheselectedgeneralizedlinearmodel(vialikelihoodratiotestsof nestedmodels)usingalog-linkfunctionandnegativebinomialdistributionto investigatechangeinhumanactivityinareaswherethePESwasactive(controland experimentalcells)aswellaspark-wide.Thesedatawerecollectedbythepark authority(RDB)ranger-basedmonitoringprogram.(0‘***’,0.001‘**’,and0.01‘*’).

GLMhumanactivity(RBM) Snares&treecuttings Estimate zvalue

Intercept 1.884 3.359***

Numberofpatrols 0.020 0.583

Month 0.070 2.714**

Celltype(exp) 2.661 3.424***

Celltype(park-wide) 0.779 1.004

Numberofpatrols:Month 0.004 2.209*

Numberofpatrols:Celltype (exp)

0.228 3.952***

Numberofpatrols:Celltype (park-wide)

0.009 0.274

Month:Celltype(exp) 0.095 2.668**

Month:Celltype(park-wide) 0.078 2.457* Numberofpatrols:Month:

Celltype(exp)

0.009 3.108**

Numberofpatrols:Month: Celltype(parkwide)

0.004 2.170*

Log-likelihood 665.961

AIC 691.96

Samplesize 36

Fig.3.ThemeannumberofhumanactivitiesorthreatsperpatroloverthecourseofthePESwithalowesssmoothinglinetodepictthetrendofactivity(ranger-based monitoringdatacollectedbythemanagementauthority,RDB).

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comfortablewithouractivities.Secondly,andmostpertinent to

ourhypothesis,becomingacontrolinvolvedbeingmonitoredby

teamsontheground,whichmayitselfleadtobehavioralchange.

RegardingthepossibilityofaJohnHenryeffect,weundertooka

smallsurveyincontrolcellsandfoundthat23%(n=17of73)of

respondentscouldcorrectlyanswerthreequestionsaboutthePES

scheme, confirming that communication about the trial was

indeed taking place and that the control was not fully blind.

Furthermore, 44%of respondentsfromcontrol cells stated that

reducedillicitactivitiesintheparkwerepartlyduetoexpectations

offutureinclusioninaPESscheme(FigureB1).

However,ourresearchshowsthatthesecondtypeof

contami-nation(theeffectofouradditionalmonitoringinthecontrols)was

the most important. When asked to identify the single most

important reason for reduced illicit activities in their cell, no

respondentcitedexpectedPESinclusionwhilst50%(n=29of58)

cited the presence of park guards (Figure B1). PES monitoring

activitiesintheparkoccurredeveryfourmonthsandinvolvedthe

presenceofateamof6peoplethatspentapproximatelyoneweekin

thearea.Whilstthemonitoringteamarenotinfact‘parkguards’we

learned that local people tended to associate them with the

managementauthority(RDB).Thisisconfirmedbyfindingsthat

households in both experimental and control cells reported a

significantincreaseininteractionwithparkauthoritystaffbetween

2009and2012(pairedt-test:controlt(175)= 11.51,p<0.0001

andparticipatingt(180)= 20.61,p<0.0001;FigureB2).

These results suggest that the PES trial hasnot been

cost-effective,becauseasimilaroutcomehasbeenachievedincontrols

(intheshorttermatleast),asaresultofenhancedmonitoringalone,

at lower intervention cost. The cost of ecological and social

monitoringwasonaverage3068and6793USDpercellrespectively,

thesameforparticipatingandcontrolcells.Thecostofpayments,

forparticipatingcellsonly,was23,110USDpercellperyear.Lack

of cost-effectiveness is likely here to reduce efficiency, in the

sensethatweassumetheconservationoutcometobringwelfare

benefitsandthatamorecost-effectiveinterventioncouldproduce

agreatertotalwelfaregain.However,asourdiscussionofequity

willreveal,thereisyetacrucialdistinctiontobemadebetween

theimpactoftheprojectonexperimentalversuscontrolcells.

5.3. Equity

Becauseconceptionsofequitytendtobecontextspecificwe

investigated whether an egalitarianperspective resonatedwith

localnorms.We testeda totaloffouralternative principlesfor

payment distribution and found that respondents selected

egalitarian(38%) astheir firstchoicemore oftenthanexpected

by chance (N=78, Chi-square=14.4, df=3, p=0.002). The

alternative principles of ‘effort’, ‘need’ and, ‘opportunity costs’

wererankedfirstby29%,23%and9%ofrespondents,respectively.

Similarly respondents’ least preferred method of payment

distribution was opportunity costs, with 54% ranking this last

(Chi-square=35.3,df=3,p=<0.001).Whilstthismaybeafavored

systemofdistributionforutilitarianefficiency,itwasreportedto

ustobemorallyperverse(andunpalatabletoourRDBpartners)

becauseitisseenasrewardingtheworstoffenders.

ThesizeofannualhouseholdPESpaymentswascalculatedto

offsetcostsratherthanenhanceincome.Asexpected,wefoundno

significantchangeinhouseholdconsumption(asanindicationof

wealth) across all cells as well as between cells, control and

experimental (Wilcoxon signed-rank: z= 0.98, p=0.32 and

z= 0.83and 0.48,p>0.05,respectively)basedonpaneldata

collected in2009and 2012(N=357households).Weare more

interestedinthedistributionofanyincomeeffectsandhowthisis

0 50000 100000 150000 200000 250000 300000 350000

lower median upper lower median upper

C C C E E E H o usehol d weal th per capa (RWF )

Income quarles for control ('C') and experimental ('E') cells

2009 2012

Fig.4.Quartilesofhouseholdconsumptionwithstandarderrorbarsincontrolandexperimentalcells(N=176and181forcontrolandexperimentalcells,respectively; 1USD=600RWF).

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locallyperceived.Comparingchangeofconsumptionper

house-hold,wefindsomeevidencethatthelowestincomequartilesare

doingrelativelywellinthattheirconsumptiongrowthisfavorable

compared toother quartiles (Fig. 4). Given a range of possible

confounding factors, we cannot confidently attribute any such

changetotheproject,butthisatleastsupportstheviewthatthe

project did no obvious harm to the material wellbeing of the

poorest.

We further assessed equity by testing for elite capture of

benefits – given that less than 100% of households actually

receivedthepaymentstheyweredue1(FigureB3),and

consider-ablylessgainedotherbenefits,wasthereevidenceof

discrimina-tion against thepoor? We examined therelationship between

wealthandthelikelihoodofreceiving(a)eachofthethreePES

paymentsmadeoverthecourseoftheproject,(b)employmentas

localmonitors,(c)receiptofsmalllivestockand/ortreesaplings,

and(d)involvementinanti-cropraidingprograms.Noneofthese

relationships were significantsuggesting that distribution

con-formedtoanegalitarianconceptionofequity(TableA1andFigure

B4).Theexceptiontothiswastheobservationthatasmallnumber

(n=6of29)ofhouseholdsreceivingfreelivestockwereamongthe

highestincomequintilethatcontrastswithourstatedobjectiveto

targetthepoor.

In addition to distribution of material benefits, we also

considered the equity of social impacts. We were particularly

interestedin whetherPES mightlead toinjustices arisingfrom

failuresofrecognition,includinginsensitivitytolocalcultureand

theunderminingof non-monetarywaysofvaluing interactions

withtheenvironment.Qualitativeinterviewsrevealedhardlyany

concernwithculturallossordominationarisingfromthePES.The

attachment of monetary value to particular practices was not

articulated as dominating other ways of valuing livelihood

practicesorrelationshipswithnature.Wealsofoundverylittle

concernaboutthefactthattheincentivestructureofthePESledto

adeepeningofantagonismtowardtraditionalforestusessuchas

hunting.Wewanttostressthatthesefindingsarehighly

context-specificandreflectiveofaparticularRwandanhistoricalprocessof

modernization that tends to construct notions of progress in

contrasttotraditionalculturalpracticesassociatedwithaviolent

past(Martinetal.,2014).

A related concern in critical PES literature is that extrinsic

incentivesintroducedthroughPESmightleadtoa‘crowdingout’of

intrinsicmotivesforconservation(Corbera,2012;Fisher,2012;

Sommervilleetal.,2009).Thereisstrongempiricalevidencethat

materialinterestsandmoralsentimentsareinseparableandthat

crowding-out(andin)occursbecauseeconomicincentivesaffect

individuals’moralframingofasituation(Bowles,2008;Freyand

Jegen,2001),ascantheinstitutionalfeaturesoftheseincentives (Falk and Szech, 2013). Of particular relevance to equity, the

psychologicalconditionsthatfostercrowding-out includethose

whereaninterventionisperceivedtobeunfair,suchaswhereitis

domineeringandunderminesself-determination(FreyandJegen,

2001)or where itallows free-riders toprosper(Bowles,2008).

Moreover,thecorrelatemayalsobetrue,thatintrinsicmotivations

mightbecrowded-inwhereaninterventionisperceivedtosupport

localcontrolandself-determination(FreyandJegen,2001).

WeprovidehereevidencethatthePESdidindeedchangethe

motivesunderlyingobservedbehavioralchange.Thekeyfindingis

that whilst the project as a whole led to similar conservation

outcomesin both experimentaland control cells, therewasan

important difference in how people perceived their behavioral

changeleadingtosuchoutcomes.Tolinkthis differencetothe

theory of crowding-in and -out is admittedly rather more

speculativeat this moment,butwe think promisingenoughto

warrant some discussion. Respondents in experimental cells

increasingly agreed that participation in decision-making was

themainreasonforreducingillegalactivitiesinthepark(Table3).

Incontrastcontrolcellshavebecomelesslikelytoattributethe

reductioninillegalactivitiestoparticipationandenvironmental

educationandmorelikelytoattributeittolawenforcement.

We used qualitative data to further explore how the PES

changedmotives.Wecoded357responsestoanopenquestion

aboutwhy humanactivityin theparkhadreduced (TableA2).

Three answers dominated, with65% (n=481 of 744) of coded

responses stating (i) enforcement by park management, (ii)

education about the park’s ecological importance and rules, or

(iii)thePESscheme.Wethenselectedoutonlythoseresponses

thatwerepremisedbywordstotheeffectthat‘thisisthemain

reasonforsuchbehavioralchange’.Thisyielded86observations,

where 66% (n=29 of 44) of control respondents identified

enforcementasthemainreason,comparedto21%(n=9 of42)

of participant respondents(Table A3). Fifty-fivepercent of the

respondentsfromexperimentalcellscitedthePESschemeasthe

maincauseofchangewiththeirstatementssuggestingthatthe

non-pecuniaryaspectsofthePES(participation,education)arejust

asimportantasthemoney.Whatwetakewithconfidencefrom

these findingsis that the PES changedlocal perceptionsof the

motivationsforparkprotection,awayfromfearofrule

enforce-mentandtowardthePES schemeitself,whichisassociatednot

only with monetary benefits but also increased participation

(Table3,questionb).

Thesedifferencesinperceptionarehardlytrivialintermsofthe

experience oflocalpeople andtheimplicationsfor longer-term

conservationpractice.Incontrolcells,respondentsareveryclear

thattheyarechangingbehaviorinresponsetofearsthatparkstaff

will fine and beat them, and even shoot them. Examples of

statementsmadeduringinterviewsgivea senseofhowserious

thisdifferenceis:

‘Thecorereasonwhyhumanactivitieshavedecreasedinour

cellisthereinforcementofthelawalongwithheavy

punish-ments.Threepeoplehavebeenkilledwhencaughtinthepark.’

(Rukorecell)

‘IllegalactivitiesintheparkhavereducedbecauseORTPN[RDB]

increaseditseffort inprotectingtheparkand sensitisingthe

population.Also,therehavebeenpeoplewhowereshotand

died,andthismadepeoplefear.’(Kiyabocell)

We have found the contrast with statements made in

participatingcellstobenotable,forexample:

‘The illegal activities in the park reduced because we were

sensitisedandgivensomemoneyfromReDirectwhichweused

tosustainourhouseholds.’(Shabacell)

‘ThecommunitywassensitisedbyReDirectontheconservation

ofNyungweandgivenpayments,whichmanypeoplebought

rabbitswith—onemaleandonefemale.Insteadofgoinginto

theparkformeat,theycouldeattheirownrabbits.’(Gahurizo

cell)

Moregenerally,oursurveysfoundthatthoseincellswithPES

aremorelikelytoperceivebenefitsoflivingadjacenttothepark,to

say that the park authorities are sensitive to their needs and

opinions, and that they benefit from the presence of park

authorities. We alsosee significantly moretree-planting inPES

1Distribution of payments to nearly 4000 households required that all

householdshadsavingsaccountsthatalloweddirectcashtransfersfromabank. Whilstitwasgovernmentpolicyforallhouseholdstohavesuch‘SACCO’accounts, celllevelofficialsstillhadtoworkhardtoget100%coverageandthereweresome inevitableteethingproblems.

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cells, as a longer term way to find substitutes for park-based resources.

Intermsofcrowdinginandout,whatwethinkweareseeingis

thatthePESintroducesnewmotivesforcaringfortheforest(based

oneconomic benefitsandopportunitiesfor betterrelationships

withauthorities),whilstnotcrowdingoutolder,intrinsicmotives.

Thinkingaboutthisfromtheperspectiveofmotivationcrowding

theory(FreyandJegen,2001),weproposethatthetakingonof

new, positive motives is aided by perceptions of the equitable

design of this PES scheme (participatory, egalitarian), i.e. that

perceptions of equity, such as perceived progress toward

self-determination, have served as antecedents of developing new

motives.Theabsenceofcrowdingoutislargelyconcludedbecause

respondentshaveneverhighlightedtouspriorintrinsic

motiva-tionsforparkprotection.Wehaveexploredthisabsencethrough

focusgroupsanditseemsthatsuchmotivationswerecrowdedout

muchearlierthroughprogressivefearofauthoritysinceNyungwe

wasfirstgazettedinthe1930s(Martinetal.,2014).

6. Discussion

We have foundthatit is possibletodesignan effectivePES

schemetosupportprotectionofapark.However,whilstthePES

was effective at reducing threats to the park’s biodiversity,

comparedto changes in thepark asa whole, it wasnot more

effectivethanourcontrols.Becausecontrolswerenotblinded,they

in fact turned out not to be true controls but an alternative

treatmentbasedonadditionalmonitoringactivityintheabsence

offinancialincentives.We foundthatthisalternativetreatment

hadasmuchofanimpactonourmeasuresofhumanactivityinthe

parkasdidthePES.Theequitydimensionwasevaluatedinrelation

topro-poordistributionofmaterialbenefits,findingthatpoorer

groupswereaslikelytobenefitasthewealthierones,andlittle

evidenceofthedistributionalinequityobservedinsomeotherPES

schemes(Corbera,2012;Mahantyetal.,2013),thoughnotall(Li

etal.,2011).Equitywasalsoevaluatedinsocialterms,considering

whether the PES is considered to dominate and exclude

non-economicvalues and, connectedtothis, whether itcrowds-out

non-economic motivation for park protection. We found that

crowding-outisamootpointinthispartofRwanda,becausethe

erosionofculturallyparticularwaysofvaluingnaturewasalready

faradvanced.Wedidhoweverfindsomeevidencetoproposethat

crowding-inmightbea morerelevantphenomenon,withsome

evidencethatperceptionsofproceduralequityinparticularmight

help to foster the psychological conditions conducive to the

development of non-fear based conservation motives. This

suggestedrole for perceivedproceduralequitybroadly concurs

with what is already known about the contexts that foster

crowding-in over crowding-out (d’Adda, 2011; Frey and Jegen,

2001).

Ifoneremovesequityasahighorderobjective,thePESwasnot

efficient(intheshortterm)becausetheenvironmentalobjective

couldhavebeenachievedatlowereconomiccost,bringinggreater

aggregateexpectedwelfare gains tocurrentand future people.

However,wethinkthatequitymightactuallyhavebeenthemost

important impact of this particular PES. There is a normative

reasonforthinkingthis–quitesimply,wethinkthatprojectsthat

areperceivedasequitablearepreferabletothosethatarenot.But

there is also an instrumental reason for thinking this – that

inequitycanundermineefficiencyinthelongrunduetoconflict

(CollierandHoeffler,2004;EstebanandRay,2011;Ibarraetal., 2011;Redpathetal.,2013;Robbinsetal.,2009;Toetal.,2012),and

more positively, that equity might serve to ‘crowd-in’ more

sustainablemotivesforconservation,suchasthepositivebenefits

thatcanflowfromaforest,thatwillserveitsefficiencyinthelong

term.The latterremains quitespeculative and requiresfurther

researcheffort.

Intryingtoevaluatetheevidence,thekeyfactbeforeusisthat

both experimental andcontrol cellsachieved broadlythesame

quantitativeconservationoutcome but for qualitativelydifferent

reasons.Incontrolcellsbehavioralchangewasmotivatedbyfearof

parkguardsbut in experimentalcells there wasa greatershift

towardadditionalmotivesbasedonenhancededucationaboutthe

environment, and a greater sense of involvement in park

management which is tied in with perceptions of equity. This

posesachallengetoourworkingdefinitionofefficiencybecause,if

we stickwiththis definition,ourcontrolcells (a ‘moreguards’

intervention)appeartobethemoreefficient.Andyet,motivesand

feelingsaboutmanagementlegitimacyarelikelytodeterminehow

wellbehavioralchangeissustained,andmoregenerally,thelevel

ofcooperationwithparkauthorities.

Weareimplyingherethatinequitymightundermineefficiency

inthelongerrun,andthusthatthetwoarefundamentallylinked.

Onemechanismsuggestedforthisisthatperceptionsofinequity

undermine cooperativebehavior andfoster conflictivebehavior

(Deutsch,2000;Martinetal.,2011).Whilstcompetitiverelations

canfosterefficiencyinthecontextofmarkets,PESschemesrarely

resemblemarkets(Milneand Adams,2012). MostPES schemes,

includingourcasestudy,aremoreaboutpublicgoodsprovision,

and thus require cooperation. To prioritize competition over

cooperation would be a myopic vision of efficiency (Jennings,

2005;Marglin,2010).Bycontrast,ifwelookatefficiencywitha

longertimehorizon,weareabletoseethatnon-costfactorssuch

asequityeffectlonger-termoutcomes(AdhikariandBoag,2013;

FehrandSchmidt,1999;WilkinsonandPickett,2010),andthus

should be constitutive of our vision of both effectiveness and

efficiency.

Insummary,weareofferingpreliminarytheoryandevidenceto

propose that observed efficiency/equity trade-offs might be

resolved by expandingthetime horizon and disciplinaryscope

ofourevaluativeframework.Wecannotbecertainthatinequitable

PESdesignwillleadtoconflict,oreventheextenttowhichany

suchconflictwouldinflatetransactioncosts.Thisisinpartbecause

conflictscanoccurearlyonandtheseschemessimplynevergetoff

theground,makingithardtostudycasesoffailure(Corbera,2012;

Wunderetal.,2008).Butitisalsobecauseconflictcantaketimeto

Table3

Meanvalues(SE)arebasedonaLikertscalewhere1equalsstronglyagreeand5stronglydisagree.(0‘***’,0.001‘**’,and0.01‘*’).

2009 2012 Repeatedmeasures

Themainfactorthatstops peoplefromenteringtheparkis:

Experimental Control Experimental Control Between years

Between yearscelltype

Mean(SE) Mean(SE)

a.Lawenforcement(RDB) 2.23(0.08) 2.13(0.09) 2.14(0.06) 1.68(0.06) F1,332=5.52* F1,332=15.31***

b.Involvementinpark management(participation)

2.28(0.08) 2.31(0.09) 2.16(0.06) 2.60(0.09) F1,343=0.67 F1,343=4.84*

c.Environmentaleducation thattheyreceive

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becomeapparentandthereisgrowingcasestudyevidencefrom

someofthelongerrunningPESschemesthatperceivedinequities

inprocedureordistributionarelinkedtoconflicts(Corberaetal.,

2007b,2009;Garcia-Amadoetal.,2011;Locatellietal.,2008).

As a final word, we should reiterate that what passes for

equitablecannot beuniversally prescribed.For example,inthis

particular context of access to a public good, we found that

opportunity cost was not considered an equitable basis for

determiningpaymentdistribution.Butinothercontexts,notably

useofprivatefarmlands,itmaywellbe.Thepointforpolicymakers

then,isthatitisimportanttounderstandequity-in-context.

Acknowledgements

We gratefully acknowledge funding from the European

Research Council (Grant No. GA 206994 REDIRECT). Joseph

Munyarukazamadeanimportantcontributiontodatacollection.

Jo Dicks assisted with the development of the statistical

models analyzing human activity data. We also acknowledge

thelarge partplayed by ourpartners in Rwanda: theRwanda

DevelopmentBoard,WildlifeConservation Societyand National

UniversityofRwanda.

AppendixA. Supplementarydata

Supplementarymaterialrelatedtothisarticlecanbefound,in

theonlineversion,atdoi:10.1016/j.gloenvcha.2014.07.003.

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