The Review of Economic Studies Ltd. Moral Hazard, Financial Constraints and Sharecropping in El Oulja Author(s): Jean-Jacques Laffont and Mohamed Salah Matoussi Source: The Review of Economic Studies, Vol. 62, No. 3 (Jul., 1995), pp. 381-399 Published by: Oxford University Press Stable URL: http://www.jstor.org/stable/2298034 . Accessed: 08/02/2011 01:12 Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained at . http://www.jstor.org/action/showPublisher?publisherCode=oup. . 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Oxford University Press and The Review of Economic Studies Ltd. are collaborating with JSTOR to digitize, preserve and extend access to The Review of Economic Studies. http://www.jstor.org Reviewof EconomicStudies(1995) 62, 381-399 C 1995The Reviewof EconomicStudiesLimited Moral 0034-6527/95/00170381$02.00 azard Financia Constraints and in Sharecropping EOulja JEAN-JACQUESLAFFONT GREMAQ and IDEI, Universit des Sciences Sociales de Toulouse and MOHAMED SALAH MATOUSSI GREQE, Universite'de Tunis First version received August 1990; final version accepted April 1995(Eds.) This paperdevelopsa theory of sharecroppingwhich emphasizesthe dual role of moral hazardin the provisionof effortand financialconstraints.The model is compatiblewith a large varietyof contractsas observedin the regionof El Ouljain Tunisia.Using an originaldata set includingfinancialdata, varioustests of the theoryareundertaken.Productionfunctionsstressing the role of effortare estimated.The data supportthe theorywhichpredictslowerefficiencywhen the tenant'sshareof outputis lower.The role of financialconstraintsin explainingwhichtype of contractis selected(as well as the implicationsthat financialconstraintshave upon effort and thereforeoutput)are supportedby the data. 1. INTRODUCTION FollowingAdam Smith, all economistsuntil Johnson (1950) have consideredsharecropping to be a "practicewhich is hurtfulto the whole society", an unexplainedfailureof the invisiblehand that should be eitherdiscouragedby taxation (A. Smith) or improved by appropriatesharing of variablefactors (Schickele(1941), Heady (1947)). Johnson (1950) startsfrom the empiricalobservationthat "the deviationsfrom optimum(induced by sharecroppingcontracts)are not immediatelyobvious from a cursoryexaminationof Americanfarmsoperatingunderdifferenttypes of tenurearrangements".He then argues that the landlordcan approachthe desiredintensityof cultivationby detailedcontracting and monitoring,by providingother inputs and keeping the size of the individualunit small, to decrease(by an income effect) the farmer'smarginaldisutilityof effort, or by the use of short-termcontracts.However,he admitsthat his theorydoes not quiteexplain why sharecroppingcontractsseem to do as well as rentalcontracts. The next main step' in the understandingof sharecroppingwas achievedby stressing tenants'riskaversion.The rentalcontractdoes not providean appropriatesharingof risk. Sharecroppingresults from the trade-off beween incentives and risk sharing (Stiglitz 1. The solutionproposedby Cheung(1968) amountsto assumingthat labourintensitycan be chosenby the landlord.Bardhanand Srinivasan(1971), in an otherwiseunsatisfactorymodel, correctlystress that the landlordcannotdecidehow muchlabourthe sharecropperputs in his land. Shaban(1987) providesempirical evidenceagainstthe idea that landlordscan completelymonitoreffort. 381 382 REVIEWOF ECONOMICSTUDIES (1974), Newbery (1977))2. A positive role for sharecropping is finally found as a second- best way of inducingeffort by risk-aversetenants.Bravermanand Stiglitz(1982) extend this insightby showing,as second-besttheorysuggests,that the landlordshouldintervene in all markets(creditmarketand input markets)in which the tenant transacts,in order to mitigatethe inefficiencyresultingfrom the above trade-off. More recently,variouspapers(see Singh(1987) for a survey)focus on an asymmetry of informationbetweentenantsand landlords.Tenantsare screenedfor their ability (or someothervariableof privateinformation)by the variouscontracts.However,the stability of thepopulationin the villagewe study(El Oulja)makestheseinformationalexplanations quiteunconvincing.Everybodyseemsto be awareof the abilitiesof everymemberof the village. Othermodels stressthe imperfectionsof some marketsto explainvariousfeaturesof tenancychoices, for examplemissingmarketsfor some inputssuch as bullocks,technical know-how,family labour (Eswaranand Kotwal (1985), Bliss and Stern (1982), Pant (1983), Reid (1976)). Our main emphasiswill be on missing credit markets3when effort levels are not observable.We are not the firstones to stressthesefeatures.However,with one exception we became aware of after writing a first draft of this work, papers discussingcredit constraintsdo not use these constraintsas an explanationof sharecropping.Braverman and Srinivasan(1981) show that preventingeither landlordsfrom providingcredit to tenantsor the provisionof creditby the governmentdoes not affectthe welfareof tenants. This is due to the fact that in their model landlordscan control effort levels by varying the size of the plot given to a tenant.The authors"takeit as given that the only form of tenancyis sharecropping".Jaynes (1982) has also emphasizedcredit constraintsbut by assumingthat landlordsare more constrainedthan tenants4. In a contributionwhich is the closest to our paper Shetty (1988) developsa model wheresharecroppingis explainedby an ex post liabilityconstraint.In bad statesof nature, the rent cannot be paid completely.Even with risk-neutraltenantslimitedliabilityintroducesnon-concavitiesin the landlord'sand tenant'spayofffunctions.Sharecroppingmitigates within the relationshipthe associatedinsuranceproblem.Shetty'sassumptionthat tenants'assetscan be appropriatedcostlesslyby landlordsis inadequatefor the villagewe observe.We are led insteadto write an ex ante financialconstraintwhich, in the absence of moral hazard,explainsthe emergenceof sharecropping,but not inefficientoutcomes. An ex ante financialconstraintandmoral hazardwill be the two main buildingblocks of our stylizedmodel. The data are brieflydescribedin Section2 (the Appendixgives summarystatisticsof the data). Section 3 describesthe interactionof moral hazardin the tenant'seffort level and of the financialconstraintin the designof efficientcontracts.The model of Section3 is extendedin Section4 to accountfor the landlord'sfinancialconstraints,variablesizes of plots, risk aversion,repeatedrelationships,etc. Section 5 is devotedto the estimation of productionfunctionsincludingan effortvariable.Strongempiricalsupportis given to the need for consideringincentivesin the estimationof productionor cost functions. Section 6 providesan empiricalanalysis for the choices of contractsand confirmsthe contractcan then be 2. Risk aversionalone is not enough.As shownby severalauthorsa sharecropping mimickedby an appropriatecombinationof rentand wagecontracts. 3. See Bravermanand Guasch(1986) for empiricalevidenceon the difficultiesto provideruralcreditin LDC's. permitsan "individualwho 4. A refereepointedout a referenceto Marxwho stressedthat sharecropping is not himselfa capitalistto have a capitalistfor a partner"in Jaynes(1982). LAFFONT & MATOUSSI SHARECROPPING IN EL OULJA 383 importantrole playedby financialvariablesin explainingthe type of contractselectedby a landlordand a tenant.Concludingcommentsare gatheredin Section7. 2. THE DATA A surveycarriedout with the help of the TunisianNational Institutefor Statisticshas been conductedin 1986 in a ruralarea known as El Oulja,40 miles west of Tunis. One hundredfamilieshave beenconcernedwith this surveywhichincludesthreetypes of data. (i) Generalinformationabout the familieswith, in particular,the numberof days workedin agriculture. (ii) Informationabout each plot of land definedas a piece of land whereonly one type of crop is carriedout each season. Data includesize of plot, type of crop, type of labourcontractused (eitherwage contractor fix rent contractor sharecroppingcontract),productionlevels,preciseamountsof labourinputs as well as preciseamountsof other inputs. (iii) Wealthand incomedata for each family. A similarsurveywas undertakenin 1988with somewhatless care. We will use data from it only to test the robustnessof our results(see the appendixfor more on the data). 3. CONTRACTINGWITH FINANCIAL CONSTRAINTSAND MORAL HAZARD As recognizednow in the literature(see Reid (1987), Singh (1987)), the theoryof sharecroppingis best viewedas a sub-fieldof the theory of the firm.One cannot expect "one particularexplanationof managerialstructureto be uniquelypowerfulover a long period of time and acrossmany cases" (Reid (1987), p. 565). Any model of sharecroppingmust stressspecificfeaturesof the data to be explored.The purposeof this sectionis to develop a simplemodel incorporatingthe basic ideas we found usefulin explainingthe characteristics of sharecroppingin El Oulja. The model will then be enrichedto account for a numberof interestingbut secondaryaspectsof the contractingproblemwe study and to relax some assumptionsof the basic model. The productionfunctionof an elementarypiece of land, called a plot, is written: y5=f(le, x) + -, f increasingandconcave, (1) wherey is output, 1is the amountof labourinput, e is the averagelevel of effortapplied to these units of labour (le= 1 is labour in efficiencyunits), x is the amount of other materialinputs,and E is a zero-meanrandomvariable. Land is owned by landlordswho contractwith tenants to organizeproduction.A generalcontractis definedby threeparameters(a, ,B, r) whichare, respectively,the share of the productkept by the tenant,the shareof materialinputspaid by the tenantand the certainpaymentmadeby the tenantto the landlord.This generalformof contractencompasses all types of contractsused. A pure rentalcontract(RC) is associatedwith a = 1, ,B=1, and r> 0. A pure wage contract(WC) is associatedwith a = 0, ,B=0, and r <0. A sharecropping contract (SC, a; ,B) is associated with a e (0, 1), /Be (0, 1) and r>0. If we denote yi(le), with yv(0)= 0, ' > 0, y" > 0 the disutilityof labourfor the tenant his utility level for a contract(a, /B,r) when he works le in efficiencyunits is, assuming REVIEWOF ECONOMICSTUDIES 384 risk neutrality: af(le, x)-f3xyf(le)-r-w where w denotes his living expensesat the subsistencelevel without working.Note also that, as we are going to use only a cross-sectionof data, all priceshave been normalized to one. First,assumethat the landlordcan observeall variables.If the landlordis riskneutral, the efficientcontractssolve the followingmaximizationprogramme: max (1-a)f(1, (2) x)-(1 -/3)x+r (a,/J,r,l,x) subjectto af(l,x) -/3ix - y(l) - r - w > (A) (3) whereu is the alternativelevel of utility the tenant can achieve.The main interiorfirstorderconditionsof this programmeare: Lfx) + A.[adf(l x) - Vt'1)] ]= (I-a) -.f(1 (I -a) (I,x)-(l-fl)+A Ox (4) ad (1,x)-fl =0 LOxI I - A= 0 (5) (6) or -,i(1,x) = VV1) and ' (1,x)= I (7) i.e. the efficientallocationof resourcesis achieved. If 1*, x* denote the efficientallocationof resources,(a, /3, r) are chosen so that: af (l (8) *, x*)-/3x*-yV(l1*)-r-w=-u i.e., a = 1,= 3 = 1 a =O,3=O r ( r=-u-aY(i*)-w -w for a RC, for a WC, any combinationa, ,B,r satisfying(8) for a SC. In the observedsharecontractswe have r=O. Any type of contract can thereforefulfill the first-orderconditions at the efficient allocationof resources. Assumenow that, becauseof imperfectionsin the creditmarket,the workingcapital R of the tenantis limited.In definingan optimalcontract,we must add the constraint: w+/3x*+ rR (9) but there remain multiple optimal contracts implementingthe efficient allocation of resources. Remark. Constraint(9) is an ex ante financialconstraint.It says that the tenant mustpay for his livingexpenses(w), for his shareof input (,Bx*)and for an eventualrent LAFFONT & MATOUSSI SHARECROPPING IN EL OULJA 385 (r). The rent r may be negativeand it is then interpretedas a wage. From the point of view of the sharecropperwhat mattersis the aggregateamountof money r + ,Bx*he must disburse.As ,Bandx* areobservableP does not playany independentrolein the theoretical analysis.Our way of writingthe financialconstraintimpliesthat any delayedpaymentto the landlordtakesplaceonly in the formof a shareof output(1- a)(f+ s). An alternative (followedby Shetty(1988)) wouldbe to ask for an ex post rentr and obtainmin (r, f+ ?). Our unmodelledargumentto exclude this possibility is that the transactioncosts for monitoringoutput would then be as great as in sharecroppingwhile at the same time inducingless effort of the landlord(who can give to the tenant all sorts of advicesand helps). A completeinvestigationof this questionwould requireintroducingmoralhazard in the insurancewith limitedliabilitymodelof Shetty.Also, this alternativeway of sharing ex post output appearsextremelyconflictualin the cases of bad crops. The landlordthen gets all of the productioninsteadof sharingthe consequencesof bad statesof naturewith the tenant. The logic of the behaviourwe postulatefor the landlordis to obtain as much cash advancesfrom the tenantas possiblein the form of rentor materialinputs.He then picks the lowest a compatiblewith the tenant'sindividualrationalityconstraint. From (8) and (9) we have: a <f(l* *) (10) . Rental contractsand sharecroppingcontractswith a high shareof the productgiven to the tenantmay be excludedby financialconstraintsand the constraint(10) is tight. It predictsa positivecorrelationbetweena and R that is easy to observein the data. So far the modelpredictsefficientproduction,but we pursuethe analysisby assuming that the tenants'seffort levels are unobservableby the landlord(at least beyond some monitorablelevel). We continue to assume that materialinputs, x, and labour, 1, are observableand consequentlycan be chosen by the landlord.However,e is chosen by the tenant. Hence, the moral hazardconstraint5: Of at a ,f (le, x) = yV'(1e). (11 If no financialconstraintexisted, then risk neutralitywould enable the landlordto achieve an efficientallocation of resourcesby choosing a rental contract (a = 1). The tenantwould then benefitfrom all his effortand would choose a sociallyoptimallevel of effort. Considernow the landlord'soptimizationprogrammewhen both a financialconstraintfor the tenant and the moral hazardconstraint(11) exist: max (1-a)f(le,x)-(1-f,)x+r (12) (a,fl,r,l,e,x) subjectto af(le, x)-f3x-r- y-(le)-w R-fJx-r-w>0 a a--(le, x) - V'(le)= 0. > (13) (14) (15) 5. As f is concavein I and yrconvex,the first-ordercondition(11) is sufficientto characterizethe choice of effortlevel. REVIEWOF ECONOMICSTUDIES 386 Clearly,if R is largeenough (14) is not bindingand a rent contractis selectedwith the highestpossiblevalue of r which saturatesthe individualrationalityconstraint. Let us now focus on the case wherethe financialconstraintis binding;(14) can be used to substitutethe value of r+ w+ fix to give: max (1-a)f(le,x)-x+R-w (16) (a,le,x) subjectto > u+ R af (le, x)-y/(le) a ,f (le, x) - V'(1e)=0. 01 (A) (17) (1l) (18) We obtain the first-orderinteriorconditions6: (I -a) 4(le, x) + p a 42(le,x)- I"(le)l=O LOl2 81 (19) Of ~~~~~~~02f (I - a) af(le, x) - I + Aa ,f (le, x) + pa - - (le, x) =? (20) (A - 1)f (le, x) + ll 'f(le, x) = O. (21) Ox Ox alox 01 Using (15) and (21) in (19) (20), we finallyget, leavingout argumentsin the functions: Of= + ( -a O2f) (22) 01~~~2 Of Ox l -ua dt alax (23) OfI Il-ua a>/f The allocationis now inefficient,p >07, the marginalproductivityof labour in efficiencyunits is too high; the marginalproductivityof inputsis also too low (if labourand materialinputsare not complementary)with an ambiguousresultif they are complementary. The completecomparativestatics of this model is actuallyquite complexand will not be derived. However,we can obtain the followingpropositionwhich summarizesthe main predictionsof the model. Proposition1. (i) The landlord's utility level increases with the tenant's working capital R. (ii) Conditionally on the level of other inputs x, the level of effective labour le, and therefore the production level, y, are increasing in R. 6. We assumebelowthat the individualrationalityconstraintis binding.For R smallenougheitherthere willbe a switchto a wagecontract(seebelow)or the landlordwillprefernot to saturatethe individualrationality constraintto inducesome effort.For a fixedx it can easilybe checkedthat dA/dR<0. Thereforedependingon the productionfunctioneitherthe constraintis alwaysbindingor it is not bindingfor R smallerthana threshold value.This helpsexplainwhy in practicethe shareof the productleft to the workeris neverless than 1/2. 7. Look at (19), and use the concavityoff and the convexityof yV. LAFFONT & MATOUSSI SHARECROPPING IN EL OULJA 387 Landlord'sutilitylevel RC SC a=1 WC a/ / a =O R FIGURE I (iii) Conditionally on the level of other inputs x, the tenant's share of output a is increasing in R. Proof. (i) Follows from the envelope theorem and (ii) and (iii) from a straightforwarddifferentiationof the first-orderconditionsfor the landlord'sprogramme. 11 Since we have assumed that the tenant's individual rationalitylevel of utility is independent8of his workingcapital,the level of utilityfor the landlordis decreasingwhen the tenant'sworkingcapitalR decreases.Thencomesa point at whichthe landlordprefers to incur some monitoringcost9 to ensure a minimaleffort level and switch to a wage contract.The model so obtainedis then compatiblewith the co-existenceof all types of contractsthat we observein El Oulja'?. In Proposition1, the monotonicityof y and a in R is obtainedonly conditionallyon x. This will be enoughfor the empiricalwork. The predictionof Proposition1 (ii) will be exploredin Section5 wherewe estimateproductionfunctionstestingfor a positivedependence of productionon R or a conditionallyon x. Proposition1 (iii) will be used to test in Section6 the positivedependenceof the contractchoice on R conditionallyon x (and also unconditionally).Figure 1 summarizesthe analysis.What has not been provedis the 8. We may also expect(dependingon the relativenumbersof landlordsand tenants)that the tenantswith a lot of workingcapitalwill be able to extractmore incomethan the others.In Figure I we have assumedthat the bargainingpowerwas in the hands of landlords,tenantsbeing all kept at the dilevel. The other extreme situationwould be the one wherelandlordswould be kept at the same level and the increaseof utilitydue to moreeffort(due to highershares(due to higherworkingcapital))would benefittenants.(see Bell (1989) for a bargainingmodel of sharecropping).In this paperwe stay in the principalagent frameworkwith u exogenous on the groundsthat an excesssupplyof labouris endemicin El Oulja. 9. If af/la is boundedabove, and the tenant is very poor (a very small), sharecroppingincentivesfor effortare very low. 10. Actually,we observeonly the values of 1/2, 2/3 and 3/4 for the parametera in the sharecropping contracts. REVIEW OF ECONOMIC STUDIES 388 monotonicityof a in R unconditionallyas we can expectin generaland as illustratedin the figure. 4. EXTENDING THE BASIC FRAMEWORK (i) Financial constraints of the landlords If the tenantdoes not have any financialconstraint,then the optimalcontractis the rental contract.It remainsthe solution even if the landlordhas financialconstraintssince this contractdoes not requireany financialparticipationof the landlord. Considernow the case wherethe tenant'sfinancialconstraintis binding.If R'denotes the availableworkingcapital of the landowner,indexingnow by t, the tenant'sworking capital,his optimizationprogrammeis: max (1- a)f(le, x)-(1 -,B)x+r (a,le,f3,x,r) subjectto fix - r- af(le,- (le) > R'-,Bx-r-w_O a - (le, x)- V'(le) = 0 R'-(1 -/3)x+r?0. From the two tight financialconstraintswe derive: x =R'+ R - w r= ((1 -,)R'-JJR'-(1 -/B)w. The maximizationprogrammeis reducedto: max (1 -a) f (le, R'+R'- w)-R' (a,je) af (le, R'+ R' -w)-R'+ w-t(le) a af(le, R + R'- w) - yg'(le) =0. al >a (A) (p) (24) (25) Restrictingthe analysisto the case whereboth constraintsare bindingwe obtain by differentiation straightforward da _Of/Ox<0 dR' f da I-aaf/lax dRt f SHARECROPPINGIN EL OULJA LAFFONT & MATOUSSI 389 (if the marginalproductivityof other inputsis not too far from the optimum)and da _ da >011 dRt dR' The effect of the landlord'swealth on effort or labour alloction in efficiencyunits depends on the sign of a2f/lalx. If labour and materialinputs are not complementary (a2f/alax< 0), labouris increased.The effectis ambiguousif they are complementaryand null for a Cobb-Douglas productionfunction. We will use these resultsto test that the landlord'swealth has a negativeeffect on the tenant'sshareand that the landlord'sworkingcapitalhas no effecton productionfor a Cobb-Douglas specification. (ii) Variablesize of plots, hiredlabour Let h be the size of the plot alloted to a given head of family who can use lf units of familialwork wherelf is first supposedto be observable.He can also hire an amountI of labourat a wagev witha normalizedeffortlevelof one enforcedby the tenant'smonitoring. Being essentiallynon-verifiableby the landlordthis labour input is not usually shared. (We ignore the subsistencelevel in this next model). The landlord'sincome is then: Ife+ l, x)-(1 -/)x+ (1 -a)f(h, r. Let VI(e)denote now the disutilityof effortfor each memberof the familywho has an outside opportunityequal to a. The utility level of the familyis: af (h, lf e + 1,x)-,Bix -vl- r - (e)lf . The landlord'smaximizationprogrammebecomesthen: max {(1 -a)f(h, (ac,3,1h,e,j,x,r) lf e, 1,x)-(1 -/P)x+r} af(h, Ife, 1,x) -,fx-vl-r-ra Of = a V/I(e)lif Ifu '(e) (if If> 0) v (if 1>0) R'-f3x-vl-r _O. By limitingthe size or the plot, one might think that the landlordis able to obtain a high level of effort from the tenant (Bravermanand Srinivasan(1981), Johnson (1950), Cheung(1969)). However,if lf is unobservablebecausethe familylabourdevotedto the plot is chosen by the tenantin an unverifiableway an additionalmoral hazardconstraint of the choice of If must be added. We are then back to our previousmodel with a slight variationon the specificationof the disutilityof effort'2. 11. See Eswaranand Kotwal (1985) for alternativefoundationsof similarrelationships. 12. The formulationlIV(e)wouldlead to the sameconditionalpredictionsin Section3. REVIEWOF ECONOMICSTUDIES 390 If thereis no outsidelabourused and we have constantreturnsto scale the problem is reducedto our previousformulationif we reasonper unit of land: max (a,f3,h,e,lf/h,x,?- h {(1 - a)g(e'-f, -(1h h ag(e^-,T aag--- Rt --f h 3) -+r h 1/ h h3 ,'(e)=0 x if 0O --w --r> h h A conclusionof this model is that if there are constant returnsto scale, R' and h should appearonly as the ratio Rt/h in the explanationof the contractchosen. When a familyworkson severalcropsthe workingcapitalnormalizedby the total surfacecultivated shouldbe used. (iii) Risk aversion- So far we have neglected risk aversion in our explanationof contracts. Clearly, risk aversionof the tenantmay have a role in justifyinga smallershareof output for him. As risk aversionis usually inverselyrelatedto wealth we will test this possibilityby testing the significanceof wealthin the explanationof the main featuresof the chosen contracts. This is certainlyis a weak test given the relationshipbetweenwealthand workingcapital. (iv) Repeated relationships Gametheoryhas familiarizedus with the idea that repeatedrelationshipsmay solvemoral hazardproblemsby relyingon appropriatethreatssuch as here threatof non-renewalof the contract (Johnson (1950)). Financialconsiderationswould explain the form of the contractand efficiencywould be enforcedby repeatedrelationships'3.We will test this idea by introducingthe length of the relationshipin the productivityequationsthat we will estimate. (v) Family labour constraints The precedinganalysishas assumedthat sharecroppersand tenantsare not constrained in theiruse of familylabour.This is particularlydoubtfulfor sharecropperswho may be financiallyconstrainedin the land they can rentand thereforehaveexcessivefamilylabour in a world whereunemploymentis widespread.To distinguishthe inefficiencyof family labourin sharecroppingdue to low effortlevelsand the inefficiencydue to excessivelabour inputswe will introducea dummyvariablewhichdistinguishes"largesize"familiesfrom ''smallsize" familieswherethe secondeffectshould not appear. 13. See Dutta, Ray and Sengupta (1989). SHARECROPPINGIN EL OULJA LAFFONT & MATOUSSI 391 5. ESTIMATIONOF PRODUCTION FUNCTIONS Our theoreticalanalysissuggeststhat the level of productiondependson the level of the tenant'sworkingcapital.It is easy to exhibita significantpositivecorrelationbetweenthe levelof workingcapitalandproductionlevelsbut the economicmeaningof thisdependence is difficultto ascertaingiventhe high correlationbetweeninputlevelsand workingcapital. Instead we have chosen to estimate the effect of the contract type on the production levels'4.For given input levels, the level of workingcapital affects the type of contract chosen, thereforethe levels of effortand finallythe productionlevels (see Proposition1). This proceduredoes not raiseeconometricdifficultiesif contracttypes can be considered as exogeneousin the productionfunction. First, we considerCobb-Douglas productionfunctionswith inputs, family labour FL, hired labour HL, and other inputs M, and shift variablesZ1, Z2, Z3 defined as follows: ZI = 1 whenthe farmeris the owneror has a rentalcontract = 0 otherwise Z2= 1 whenthe farmeris a sharecropper = 0 otherwise Z3 = t x Z2 wheret is the lengthof the relationshipbetweenthe landlordand the farmerfor a sharecroppingcontract(t is measuredin months). In the followingregressions,Y denotesproductionper hectareand inputsare evaluated per hectare.A two-stageleast-squaresprocedureis used for inputs HL and M. Next an exogeneitytest on Z1, Z2 and Z3 is carriedout. For the 1986 survey(170 observations)we obtain (t statisticsin parenthesis): Log Y= 4 8 Z1+ 4.4 Z2+ 0-009 (8 3) (7 7) (5 8) Z3+ 0 20 LogFL+ 0 15 LogHL+ (5 6) (4-4) 0-23 logM (2 5) R2=0-42 using as instrumentsdummy variablesindicatingthe type of the crop (tomato, potato, melon, vegetable),the level of wealth,the numberof active membersin the family. We test the exogeneityof Z,, Z2 and Z3 as follows.By the probittechniquewe obtain Z,= 2-7 - 0 5 AGE+ 0-006 (AGE)2+ [-01 logRICH (0-8) (2-7) (2.8) (5 6) 0 47 ACT- 0-6 OWL- 0 0007 R' (4 8) (1-8) (2-1) (5.1) Z2= 1-09 - 14. An alternativeis to test the role of contractsin the allocationof resourcesby studyingthe dependence of inputdecisionson contracts.This approachwas followedby Shaban(1987) who testedif differencesin input intensitiesbetweenrental and sharecroppingcontractswere significant.He considersthat, with monitoring, marginalproductivitiesof inputsare equatedto prices,while, with no monotoringand sharecropping,prices are equatedto marginalproductivitiesmultipliedby the farmer'sshare.We believethat the structuralform representingsharecropping is more complex.We can only rely on inputdata whenthose inputsare includedin the contractand presumedobservable.For those (as familylabourin efficiencyunits) that are not observable it must be taken into accountthat they are chosen by the farmer,but they cannot be used in the estimation. Indeed,if they wereobservable,they could be monitored. REVIEWOF ECONOMICSTUDIES 392 and by the least-squaresmethodwe obtain: Z3= 18-2-5-2 log ACT-00009 (5-5) (-1-6) (-3-6) R'+ 0-0012 R' (5-4) whereAGE is age, RICH wealth, ACT the numberof workingmembersin the family OWLowned land, R' the landlord'sworkingcapital.Then the residualspi, p2 and P3 of these regressionsare introducedin the followingregression: Log Y=4 7 Z? + 4-3 Z2+ 0009 Z3+ 0 20 log FL+ 0 15 log HL (7 3) (2.2) (3.8) (5.4) (8) / + 000013 P 3 + 025 log M-002 p I+ 0 I P2 (0 04) (2.6) (-0 14) (0.9) .R2 = 0-42 As the coefficientsof PI, P2, P3 are not statisticallydifferentfromzero we can accept the exogeneityof Z,, Z2 and Z3. These resultsare confirmed'5using the data set from 1988 (136 observations) Log Y= 5 7 Z, + 5 1 Z2+ 0 009 Z3+ 0 26 log FL+ 0 15 log HL+ 0 09 log M (3.8) (1-5) (4.4) (5.2) (8-1) (8.7) R2=0 53 We have also explored an alternativeexplanationof these results suggestedby a referee.More able tenantshave earnedmore in the past, have now more workingcapital and thereforeare likely to be given rentalcontracts.To eliminatethis effect we restrict the analysisto young tenants(less than 35 yearsold) and obtain similarresults. In 1986 (67 observations) Log Y= 4-6 Z,+ 4.3 Z2+0 006 Z3+ 0 21 log FL+ 0 14 log HL+ 0 25 logM (2.5) (1.6) (4.4) (2.8) (3.3) (4-6) R2=0-38 In 1988 (54 observations) Log Y= 4.7 Z, + 4.3 Z2+ 0-005 Z3+ 0O26 log FL + 0 10 log HL + 0O28 log M (4.7) (4.6) (1.4) (2.3) (1.4) (30) R2=0 43 The significanceof contractsin the explanationof productionis very stable across thesedifferentregressions.In all the above regressionswe rejectedat the 1%significance level the hypothesisthat the coefficientsof Z1 and Z2 are equal. The type of contract mattersin the explanationof productionlevels as predictedby the theory. Using for referencethe resultsfrom 1986 we see that moving from a sharecroppingcontractto a rentalcontractincreasesproductionby 50%(comparee48 and e4-4). The effectof the length of the relationshipbetweenthe landlordand the sharecropperis positiveand significant.A three-yearcontractof sharecroppingincreasesproductionby 38%.Independentlyof the 15. The exogeneityof the contractvariableswas also testedpositively. SHARECROPPING IN EL OULJA LAFFONT & MATOUSSI 393 type of contractthe coefficientof hired labour is 50%less than the coefficientof family labour. Thecombinationof a Cobb-Douglasproductionfunctionand themodellingof labour in efficiencyunits lead to a specificationwhere the effect of the contractis similarto a Hicks-neutraltechnicalefficiencyeffect. To test the robustnessof our resultswe change the specificationby assumingthat theremay be a differentelasticityof productionfor the amount of family labour in the case of rent contractsand in the case of sharecropping contracts'6.We obtain: In 1986 (170 observations) Log Y= 4 2 +0 222 Z,logFL+0 (6.8) (5.7) 197 Z2logFL+ 0 19 logHL+ 0 28 logM (5.0) (5.0) (2 8) A2=0 31 In 1988 (n = 136) Log Y= 4 5 + 0 39Z,logFL+ (6 4) (6.1) 0 32 Z2logFL+ (5-0) 0 20 logHL+ 0 16 logM (2.3) (5.0) A2-0 40 In 1986 (young tenantsn = 67) Log Y= 3 8 + 0 25 Z, log FL + 0 22 Z2log FL + 0 16 log HL+ 0 34 log M (3 6) (3.9) (2.0) (3-5) (2.8) jR2= 0 31 In 1988 (young tenantsn = 54) Log Y= 3 8 + 0 36 Z,logFL+ 0 31 Z2logFL+ 0 14 logHL+ 0 32 logM (1 9) (2-8) (334) (4 3) (3 3) f?2 =0-30 With this new specificationwe also find that the coefficientsof familylabourin rent contracts and sharecroppingcontractsare significantlydifferentat the 1%significance level. It may be arguedthat pervasiveunemploymentleads to low efficiencyof sharecropping due to excessiveuse of familylabour.We then introducea dummyvariableZ5which equals 1 if the numberof familyworkersper hectareis largerthan2-5 and zero otherwise. The followingresultsuggeststhe existenceof this excessivelaboureffect(0 17 significantly differentfrom 0- 19 at the 5%level) but also confirms,for familiesof smallsize, the lower efficiencyof family labour in sharecroppingcontractscomparedto rent contracts(0 19 16. Because of the very high correlation between Z, and Z, log FL (which is 0 96) and the very high correlation between Z2 and Z2 log FL (which is 0-98) it is not possible to imbed meaningfully the two models obtained within a single model and test the retrictions to which they correspond. We could engage in non-nested tests but the purpose here is not to choose the best model, but to check the robustness of our result according to which contract variables affect productivity. 394 REVIEW OF ECONOMIC STUDIES significantly different from 0-21 at the 5% level)'7. Using the method of 2SLS we obtain: In 1986 (n= 170) Log Y= 4 2 + 0 21 ZlIogFL+ (6.8) 0 17 Z2Z5logFL+ (3.7) (5.1) 0 19 Z2(1-Z5)logFL (4 8) +0 19 logHL+0-28 logM (5.0) (2.8) A2 =0O31 In 1988 (n = 136) we obtain similarresultswith a 1% significancelevel. Log Y= 4 5 + 0 37 Z, log FL+ 0 30 (4 5) (6-5) (5 8) log FL+ 0 33 Z2 (1 -Z5)log FL+ Z2 Z5 (4 9) + 0 21 log HL+ 0 16 logM (2.3) (4.9) Rk2=0 40 Similarlyfor the sub-sampleof young tenantswe still get significantdifferencesin the coefficientsof family labourin rent contractsand sharecroppingcontracts.Howeverthe excessivelaboureffectdisappearsfor young tenants. In 1986 (n=67) Log Y= 3.7 + 0 25 Z, log FL+ 0 21 Z2Z5 log FL+ (3.5) + 0 23 (3.8) Z2 (1-Z5) (3.4) log FL+ 0 16 log HL+ 0 35 log M (2.6) (3.3) (2.0) A2= 0 30 In 1988 (n=54) Log Y= 3 8 + 0 36 Z logFL+ 0 31 Z2Z5logFL+ (2.8) (4.3) (3.2) + 0 31 (1 -Z5)Z2 log FL+ 0-14 log HL+ (0 32) log M (2-7) (I19) A2 (3 3) =0-38 Finally, we look at an alternativespecificationof the incentiveeffects due to the length of the relationshipt in sharecroppinglabour and to the share of input fJpaid by the tenantby introducinga parameterof sharecroppinglabourwhich dependson both t and fJ(for a given a a high fi means a high productivityplot whichcan supporta high fundingof inputs; the motivationof introducingfi is the discretenatureof a). 17. Thereis no reasonto test for an excessivelaboureffectin rentalcontractsbecausetenantswith rent contractsare not financiallyconstrainedand thereforeshould be able to rent enough land for all their family we arenot interestedin the pervasiveunemployment labour.Furthermore effectperse, but ratherin the difference in theefficiencyof familylabour,stemmingfromdifferencesin effort,betweenrentalandsharecropping contracts. Giventhat 0-21 is significantlygreaterthan 0-19 we can expectthe coefficientof Z,(I - Zs) log FL to be even moredifferentfrom 0 19. So allowingfor the excessivelaboureffectin rentalcontractswould only strengthen the findings. LAFFONT & MATOUSSI SHARECROPPING IN EL OULJA 395 In 1986 (170 observations) Log Y= 4 8 + 0 21 Z, log FL+ (0 10+0 002t+0 0005f (8.5) (5.8) (1.3) (4.8) (0 5) Z2 log FL + 0 15 log HL+ 0 23 logM (3.9) (2.5) k2= 0-24 In 1988 (n = 136) Log Y= 5-5 + 0-29 Z, log FL+ (0.07 +0-002t+0.0016f (8.2) (4.7) (0.82) (3 3) (1.6) Z2 log FL+ + 0 15 log HL+ 0 12 logM (3.8) (1.7) A2= 0 50 In 1986 (young tenants n = 67) Log Y= 4 5 + 0 24 Z, log FL + (0. 16 + 0 0012t + 0 0003f3) Z2 log FL (4.4) (3 9) +0 13 logHL+0 (2.2) (1.4) 26 logM (2.5) (0.2) (2.2) jk2 =0-38 In 1988 (young tenantsn = 54) Log Y= 4.3 + 0 30 Z, log FL+ (0 05+ 0 002t + 0 004fJZ2 log FL (4.3) (2.6) (0.3) (0.2) (1-6) + 0 12 log HL+ 0 31 logM (1.6) (3.2) A2= 042 Again the coefficient of family labour in rent contracts is significantly different at the 1%level (5% level only for young tenants in 1988) from the coefficient in the sharecropping case (actually the sum of three coefficients computed at the average sample values). Furthermore, with this new specification we again find that the length of the contract significantly affects positively the productivity of sharecropping labour. 6. CHOICE OF CONTRACTS The previous section has shown the effect of contract type on production. In this section we test the role of financial constraints and risk aversion in the selection of contracts. The structural form obtained in Sections 3 and 4 is summarized as an ordered probit model where the contract type variable, CT takes the values 0 ifa=1/2 1 ifa=2/3 2 if a= 3/4 3 ifa=1 REVIEWOF ECONOMICSTUDIES 396 The underlyingmodelis thenZ = 31+ 32k + f33R'+04tWt+ e with E--,'(0, ca)where R' (resp.R') is the tenant's(resp.landlord's)workingcapitaland W'is the tenant'swealth if z,<po CT=0 1 ifpo<z,<Pl 2 if <z,?<p2 3 if zt>p2 The maximumlikelihood estimatorsof this model are obtained by the Davidson (1959), Fletcherand Powell (1963) algorithmand the variancecovariancematrixfor the estimatesis the Berndtet al. (1974) estimatorusing the firstderivatives. For the 1986 surveywe obtain: + 0*0003R'- 00001 R'+ 0 000045 W' (9 5) (1.49) (2 2) (5.1) with po=0 (normalization). P2==063 p,= 030 Z=- 036 (3*3) (4.1) In 1988, we get: Z + 00005R'- 0019 (0 5) (3 5) 0 0004 R'+ 0.0001 W' (2.5) (-4.4) with pi= 08 (3 0) P2= 03 (4.1) As predictedby the theory the higher the tenant'sworkingcapital, the closest to a rentcontractwe are. On the contrarythe higherthe landlord'sworkingcapitalthe higher his sharein the sharecroppingcontract.The wealtheffectis of the rightsign but not very significant,suggestingthat financialconstraintsplay a more importantrole than risk aversionin explainingthe selectionof contracts18. The orderedprobit model assumeshere that the discretechoice betweenrentaland sharecroppingis governedby the same model that determineswhethera = 1/2, 2/3 or a = 3/4. To test this hypothesiswe run a probit of rentalversussharecropping.Since the varianceof the errortermis not identifiedin sucha probitmodelwe re-scalethe parameters of the orderedprobitwith the estimateof the standarderrorobtainedabove (6f= O-384). choice is then made with the model The rental/sharecropping Rentalif/31+ 32R'+f3R'+ f4W'+ ? > O where e is now X(0, 1), insteadof the previousmodel Rental if /3I-P2 /32 +-Rt+- 03 /34 +-04 W + ?>O 18. An alternativeexplanationgiven by a refereeuses risk aversion.The more workingcapitala tenant has, the more crops he plants.The more crops a tenantplants, the more diversifiedhe is, so the less risk he bears for a given sharingparameterin the contract.However,we did not find any correlationbetweenthe numberof crops (NP) and the size of workingcapital. NP= 2-8 -0000084R' (13-3) (-0 44) R2= 0 004 LAFFONT & MATOUSSI SHARECROPPINGIN EL OULJA 397 wherere-scalingis made to have ?/Ca as a A(0, 1) randomvariableso that the estimators Ij and Pi/cr, i= 2, 3, 4 are two estimatorsof the same value underthe null hypothesisof no differencebetweenthe choice models. Noting that f3i/6 is the most efficientestimatorwe can run Hausmantests. As is often the case in smallsamplesthe differencein the covariancematricesbetween probit and the re-scaledorderedprobit parametersdid not turn out to be positive semidefinite.Thus to comparethe resultswe simplytest that the coefficientsof R' and W' are which are 5-66 and 0-43 the same. For the coefficientsR' and W' we obtain X2_statistics respectivelywhich are below the 1%significancelevel which is 6-63. We can safely conclude that our assumptionof the same choice model for the four regimesis not rejected. Sincethe theoryonly obtainedthe predictionsconcerningthe effectof workingcapital on contractchoices conditionallyon the level of inputs we also obtainedthe maximum likelihoodestimatorsfor an enlargedmodel with similarresults. In 1988 (n= 136) Z= -1[2 +0-00058R'-0 00032R'+0 00008W' (2 0) (2.9) (-16) (2.7) + 0 0055 FL + 0 0020 HL + 0 00026 M (0 40) (2-4) (0.42) Po=O p,u= 086 P2= 1-35 (3 0) (4.0) In 1986 (n= 170) Z=-1 09 + 0 0003 Rt- 0 000l1 R'+ 0 00003 W' (2.5) (5*3) (9.01) (1.0) +0-00024 FL+0 00047 HL+ 0-001 M (1.11) Po=0 (0-3) p=0-42 (3-3) (2.3) P2=067 (4.1) 7. CONCLUSION We have developeda theory of sharecroppingwhich emphasizesthe dual role of moral hazardand financialconstraints.The unobservabilityof effortrequiresthe use of incentive contractsto induce good effort levels. This can easily be achievedwith rental-contracts which leave to tenants all the proceedsof their effort. However,the tenant'sfinancial constraintsmake these contractsoften impossible.The poorerthe tenant,the smallerthe shareof the crop he will retainand thereforethe less efforthe will provide. Productionfunctionsstressingthe role of effort have been estimated.They support the theory which predictslower efficiencywhen the tenant's share of output is lower. However,this inefficiencyis somewhatmitigatedby the lengthof the relationshipbetween the landlord and the tenant. The working capital of the tenant (and of the landlord) appearas significantexplanationsof the type of contractchosenby a tenant.Littleempirical evidencewas found for the alternativeexplanationrelatedto risk aversion(assumed to be decreasingwith wealth).However,the close link betweenwealthand workingcapital should qualify this last statement. REVIEW OF ECONOMIC STUDIES 398 APPENDIX The Data V S FL HL M CT R' Rl t ,B W' M L Valueof productionon the plot. (in TunisianDinars(T.D.)) Surfaceof the plot (in hectares) Familylabourin days (per plot) Hiredlabourin days (per plot) Cost of inputsotherthan labourin T.D. Type of contractCT= 3, 2, 1, 0, for a = I; 3/4, 2/3, 1/2 Tenant'sworkingcapital(availablemonetaryliquidities,rentedvalue of variousownedequipments) Landlord'sworkingcapital(the same) Lengthof the relationshipin months Percentageof cost of inputspaid by the farmer Tenant'swealth(valueof ownedanimals,equipment,and land) Cost of seeds,ploughing,transportation,water,otherinputs in front of a variableindicatesthe logarithmof the variable. TABLE I Descriptive statistics (1986) Variable V S FL HL M Rt R' t I? W' CT Mean 5785-0 2-1538 168-21 406-06 1404-0 5510-3 2534-3 68-565 83-229 39274-0 1-8824 Std. Dev. Minimum 7404 7 280-0 2-4450 156-17 643-87 1761-2 5792-3 6027-6 39-314 20-324 70659-0 1-3667 Maximum 0-4914E+05 0-2000 22-00 1-000 82-00 50 00 1 000 6-000 50 00 501-0 0 0000 12-50 1160-0 3600-0 0-1149E+05 0-3500E+05 0-2950E+05 100 0 100 0 0-4050E+06 3 000 TABLE 2 Descriptive statistics (1988) Variable V S FL HL M Rt RI t I? W' CT Mean 6913-0 2-0188 185-88 287-21 1640-7 4748-2 1455-1 78-824 87-228 41537-0 2-1985 Std. Dev. Minimum 7988-4 2-1696 192-75 403 39 2183-4 3996*2 3437 3 33 423 19-861 85324-0 12221 600-0 0-1600 17-00 1.0 109.0 700 0 1 000 6-000 50 00 601-0 0-0000 TABLE 3 Types of contract CT 1986 1988 2/3 3/4 1 52 13 8 97 170 26 12 7 91 136 a =1/2 Total Maximum 0-5915E+05 14 50 1715 0 2571-0 0-1709E+05 0-2500E+05 0-1650E+05 100 0 100 0 0-4780E+06 3-000 LAFFONT & MATOUSSI SHARECROPPING IN EL OULJA 399 AcknowledgementsWe thank the French Ministeryof Foreign Affairsfor financialsupport and the populationof El Ouljafor its friendlyparticipation.We are gratefulto D. Newbery,J. 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