brazil data archiving notes filebrazil data archiving notes brazil dataset comprises 1 dataset: •...

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Brazil Data Archiving Notes Brazil dataset comprises 1 dataset: Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8 of the questionnaire. Information from Box 5 is not included in this dataset. The reference number for the complete Brazil dataset is L320253235B. Notes regarding Variables in Brarch.dta Variable names and coding conventions follow from the UK questionnaire (relates to dataset L320253235A). 1. See hard copy of questionnaire for further variable names and coding information. 2. Additional notes on variables not listed in hard copy of questionnaire: Variable Description Coding f2type Classification of farm 1=Organic, 0=Conventional hhsze Household Size yagric Agricultural Income 1=Agric production is main source of household income, 0=It is not. fsv Attitude to larger farm sizes 1=Agrees that concentration of production on fewer larer farms is bad for the environment, 0=Does not agree. hefe Higher/Further education. 1=Has reached second grade, 0=Has not. conpol Policy bias 1=Agrees conventional hortic receives more support, 0= Does not agree.

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Page 1: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

Brazil Data Archiving Notes

Brazil dataset comprises 1 dataset:• Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8 of the

questionnaire. Information from Box 5 is not included in this dataset.• The reference number for the complete Brazil dataset is L320253235B.

Notes regarding Variables in Brarch.dta

Variable names and coding conventions follow from the UK questionnaire (relates to datasetL320253235A).1. See hard copy of questionnaire for further variable names and coding information.2. Additional notes on variables not listed in hard copy of questionnaire:

Variable Description Codingf2type Classification of farm 1=Organic, 0=Conventionalhhsze Household Sizeyagric Agricultural Income 1=Agric production is main source of

household income, 0=It is not.fsv Attitude to larger

farm sizes1=Agrees that concentration of production onfewer larer farms is bad for the environment,0=Does not agree.

hefe Higher/Furthereducation.

1=Has reached second grade, 0=Has not.

conpol Policy bias 1=Agrees conventional hortic receives moresupport, 0= Does not agree.

Page 2: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

Regional Codes (CTY):

1. Adrianopolis2. Agudis Sol3. A.Tamandare4. Araucaria5. Bocaiuva do Sul6. Camping Grande do Sol7. Campo Largo8. Colombo9. Imbituva10. Irati11. Lapa12. Mandirituba13. Palmeira14. Piraquara15. Pitanga16. Quatro Barras17. Reboucas18. Rio Branco do Sul19. Santa Maria20. S.Joao do Triunfo21. S.Mateus do Su22. Tiiucas do Sul23. Turvo24. Unknown

Page 3: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

DETERMINANTS OF THE DECISION TO ADOPT SUSTAINABLE AGRICULTURAL TECHNIQUES-ASURVEY OF ORGANIC AND NON ORGANIC HORTICULTURAL FARMS-QUESTIONNAIRE

Umvcrmtyof Mmchestcr-Asscssona e %rvwos a RoJctos cmAgnculhmaAlkmimm-lmwmto VerdeViola& Iksmvolvnmmo Ruml

1-IDENTIFICATION.—r-

2 u1.~MWNAW 2<oll?.rrY 3-FAPM &RSSPO~ENTS NAM

~‘“ FiKM lbCODE

C-r’/1 1

5-(3WER 6-AGE 7-YEARS M AGRJCUITTJRJ? a-m,mts tdAt4A6E0 mm 9-hol’.mER IO-EDUCATION

&N

PROPERTY

AGEOF O BODY

YICSFVT v~~M&r~ ~R&.@fl E Cx.4

CDLWiY CODE i-Admn4@a I-,%gudw Sul 3-A.TaIudnre 4-Arnudna 5-BcUlum Sul bC Gdosul 7+m by

8-Colomt-3 9-tmb,hna lo-h” I I-IAca 12-h4mdvmtm 13-Pnhnm 14-Puafwla 15-PIIMR.

16Q Burns 17-RctOuG., 18-R B Sd 19-s< ).44”. 20-s J Tnunfo 214arJ M&d 22-T &’Sul 23 -Tw-

5- Gender code I - male, 2- female / 6- Orgamc memberslup code 3 -AOP& 5-Aw3cta@0 A Blodmhiuca10- Educatmn code 1-10 grau mcompleto (A) e completo (B) , 2-20 Uau, 3- Umversldade , 4- nenhuma escolandade

2-FARM DETAILS1.TOTALH. 2- N” SITSS 4.FXLUDING YOU MO AGE GENDEK HMOLD (1 I HIRED FULL TIMS(l)

S(I-N05WDRK9 ON THE FM)47 I-MU.E 2 FEMALE (2) OR PARTNER(3) PART TIME(2)

_i_o_I_H A 3- HDUSEHOLD PER20N 1SUE N 0 PEOPLE ?l~E P( G= f’l Hfll P\ ff’

1.QRG,4N1Cth 14& ABovs PERSON 2fw

,.C::R::H. fkd’ ;Z: ‘ “:

m. I

,;::, ;;;;

paw

fJ&E f’3 -N pz \~pH

UNDER 14 f. ffi-E p+ L

c-cJNl-tfA f’LTl~PEWON5

(i k+ t5 L-N PSHW PsFI’5-SE.A.TDN,U.EMPLOYEES HIRED PER MONTHMON I H MN FEB MAR MU MAY llJN JUL AUG SFP (?3 NUV DLL

3-GENERAL FARM DETAILSORGANIC PRODUCTION 3-TJ.LLAGE - Cormnom methDds of sod preparation

1- When&d you Dbtam your current cemficatmn 7 We2- When did you start yDur current orgamc prsttces ? oR&~ Ploughmg - .wa@G -nuf’

SOIL ANALYSIS Harrowing - gradagem TILL l+

4- Has any sod ana[ysls been caned out on the holding 7 SW,L Scan ficatlon T( LL s5- When was It k done ? 5-,. DIrsct Planting 11 U_ D6- When wll !t be next done ? swh~ Rotahve mL L u

CODES Burmng - qucuna 7(LL \34- Yes- l, No- , .AnmmlPowered l-ll_L A5- Lastyear- l,2t05yearsago-2, > 5yearsago-3, Ammal and mechaucd power -l-( LL ‘=6- Nextyeiw-I, Next 2-5ycars -2, Noneplanned-3 OnJy mcchamcd power TI LL M

4- LAND USE

Page 4: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

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G1-Nsmfonl-rmz’mc)sI -MUBAGO IAIUSA 10). 3,WOS IC)NIVTL DE 2U3NTROI-E

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DE PRAG~ ECOMPOSTO

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FL-I- FcL cmm(x ~F’NcAORCWICO PN PI-N L

FVU F0-7- FO i- smumVE2CDE ps.yu F’& p~y I_F@u I=cr-r f~L ~&~ .!ANSA 4Bp3ANos 4C)NIWL DE

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acc~ LJC-LLN.NAW

fiticwCODIGOS

r+NLT FINLL—lu-2s.3ae4a 1 =sun, O=nZo-lb . 2b. 3b e 4b 1 = aumentou, 2 = dimmu!u, 3 = peri-mmeceu

1c. 2c. 3C e 4C 1 = mstru$aes rondo, 2 = expenin.wa pessos.1,3 = recomenda$~o tecmca, 4 = dlspombklsde iinanceuaC qumuco preventwo, N produto$ “at”n~, E qumuco cucatwo, R. reslstZnc]a qenet!c~ G msnejo psstagens

7-INFORMA@ES FlNANCEIR4SRB HORT ORGS HORT COW CULT ORGS 1 CLLT COWI-RS I I

I ANIM.41S.ORG Ic_)H L(R I

AIWMAIS<ON I TOTMcl-i LR L7Nit C t cdl-l (.R Ou=ie r

ILsa

IFL&-rOl-

1Wmp.alvln.a. I’elaum de m,lna & l.mhn( 1 2, 3 e 4)

II 5- Vnlor d. CWU[ do bmbelewnento

PRODU~AO I OUITLAS I VENDA t,i.O I NEGCCIGS f.XTS I CONS RU~OES. fFMFif= I VfWN& I q~gw

I thiQu~,’isI YNF&f7 u&bGj- V(qc,+

Page 5: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

“a?~?i!ln?!it -

8- ATITUDES TO FARMING & THE ENVIRONMENT

1 a -Ha mteresse em transfonnx pane da produ@o w toda em orgilmca? I (jJN5u ii ,SM-11 = I I NZO =01b - Qums fmores s50 mm unpoi-tantes m ma dcusio de pnxiuzu [Z b-tkmwcc mordcmdcim- “ Ia m (atom wc 0 kva.m a au-

orgmcamcnm? ment.m 0“ tiuu a SUB WC&q% orgiimca.

Obten@o de melhores pregos ~t Diticuldade ou falta de experknclas%br P OR-Tcq

Redu@o nos custos de produqiio Elevaqio dos custos de produ@oOw GT5 Os.-rCT$

Redu@o nos nscos ~= Neceswiade de altos mvest]mentos m_f ~q

Promover a lma,gem da propnedade Falta de mercado para ven& dos produtos O&T~K~r-)s.mNecess]dade de proteq~o amb]ental Ow r-d Ddicukiade na obten;~o de msumose osT\+’sProte@o a saude da farmha

0s.(’-!Pre;os ba]xos de venda (k. Tor’r

Prote@o a saude do consumldor ~~u; Extensiio de irea msuficlente Osrybs!4- VOc~ tern tldo contato com mstm@ies s~“~ Caracteristlcas fislcas da propnedade

Odwfs

de consultona em agrrcultura orgiruca? N:O@’ Outros03 T OTH

3- Corn respelto a hortlcultur< ewstem pohticas 5- Corn respelto a questiio 4, este contato toma a-pubhcas para tinanc]amento da produ;iio convers~o mms \M~Convenclonal ~Q()~~O mesmo ~po~ Ma]s facd =[ Inaltemia =3Or@ruco \-\POLO N~o Sei l-ifabK Ma]s dsficd 1=3-6- Indlque as 3 formas mas Importances de 7- Qua[s destas 3 tomam a convers~o reals fac]lobten;~o de mforr-naq~es (m), reals dlficd (l), ou malterada (n)

I~< 1)~<IAssoc]a@o de produtores !NF ,Inp“m .Jomal).—, .- 1 I .- ,,-

Telews50 :’ ‘>’ Outros produtores elou wz]nhos !Wc imP

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EmaterI’KO \ ‘E Ihrstltuv+es de consultona lr4F Ir.+

01% ofi5tr.F m P

ACS Oni Mk(-,-

Mercado rN, !..my 6“y

8- VOC6 e membro, ou faz doa@5es, ou a]uda algum [9- Idem a 7destes t]pos de orgaruza@es? - -

Assocla@es de produq~o orgilmca ;% $?: Orgamza@es amblentals ou reglonals ‘-’C*‘*PCNVEN.J

Outras assoclaq6es %: L“& SmdscatosMC14 Imp-m l-w

Cooperatwas 14Eti lrm Pcool- Lo& Outras M./6t.-.?rxliUTI1

10- Haalgum a quest~o arnbiental local, naclonal ou mund!al que voc~ julga reals lmportante’?

1I - Qual (1S) 6 (S~O) ?

:1 20 = N* ,1ss

12- Voci? acha que as pratlcas produtwas da agrrcultura convenclonal s?io sustentavels ? ‘y I ly~ :“~ Cmwsf

15- VOC5 conhece algum hpo de mcentwo financelro para produ+io orgfimca ? =\ -0 =2 O&i+LEd

16- Que area de sua propnedade foi converhda medlante estes mcentwos ? Pi2r+lcA H.o

17- Exlstem malores mcertttvos para a convers~o a produ@o orgiruca ? . I .Q .Z 6@Nd1S - Idealmente toda sua propnedade podena ser orgimca 7 ]=1 I=ol’&z Wllwwr

19- Nos prowmos 5 anos a sua area orghuca 1‘w~= OIMIMJIRA 1.~Ew<c.~ NAOSE1

20- Qua] a d&incla ate o mercado org.2rrlco reals pronrno 7 ~ %~ rywru{i

21- A produq~o orgtilca consegu e m~ores preqos VOCS Concords LI NZO concords . I .0 .~” C&et rrP

22- VOCStenta aumentar a produ@o de auto-consumo na sua propnedade ? ‘=( =%0 Yz” r+w.cord

23- Qual a porcentagem de produ$io propna das verduras e fruras de seu consumo ?% .1. se,

S,W%XJ

24 -Em terrnos ambientals, a grande Uma boa ~ :;ma colsa FS Niio Fs N~o sel F~

nmnneclade ilnu aumentar a nrmmehck 6 Cnl<a 26 ,In”rlrt. -{L h,<

Page 6: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

Variable List

Boxes 1-4 and 6-8

Name Position

CTY (County ) 11 Adrianopolis2 Agudis Sol3 A.Tamandare4 Arauaria5 Bocaiuva do Sul6 Camping Grande do Sol7 Campo Largo8 Colombo9 Imbituva10 Irati11 Lapa12 Mandirituba13 Palmeira14 Piraquara15 Pitanga16 Quatro Barras17 Reboucas18 Rio Branco do Sul19 Santa Maria20 S.Joao do Triunfo21 S.Mateus do Su22 Tiiucas do Sul23 Turvo24 Unknown

FARMID (Farm Code ) 2

GEN (Gender) 30 Male1 Female

AGE (Age ) 4 YRSAG (Years Worked In agriculture ) 5 YRSMGT (Years Managed This Property ) 6 ORGMEM (Member Of Any Organic Body ) 7

3 AOPA 5 Associacao A.Biodinamica EDU (Education ) 8

1 grau incompeto (A) e competo (B) 2 grau 3 Universidade 4 nenhuma escolaridade

TOTHA (Total Fram size (Ha) ) 9 ORGHA (Organic Area (Ha) ) 10 CONHA (Conventional Area (Ha) ) 11 SITNOS (No of Sites ) 12

Page 7: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

PGT16 (Household Size: No. People 16 & above.) 13 PLT16 (No. People Under 16 ) 14 P1AGE (Excluding You Who Works On The Farm? Person 1, Age ) 15 P1GEN (Person 1, Gender ) 16

1 Male 2 Female P1HPH (Person 1, Household/Hired/Partner ) 17

1 Household2 Hired3 Partner

P1FP (Person 1, Full Time/Part Time ) 181 Full Time2 Part Time

P2AGE (Excluding You Who Works On The Farm? Person 2, Age ) 19 P2GEN (Person 2, Gender ) 20

1 Male 2 Female P2HPH (Person 2, Household/Hired/Partner ) 21

1 Household 2 Hired3 Partner

P2FP (Person 2, Full Time/Part Time ) 221 Full Time2 Part Time

P3AGE (Excluding You Who Works On The Farm? Person 3, Age ) 23 P3GEN (Person 3, Gender ) 24

1 Male 2 Female P3HPH (Person 3, Household/Hired/Partner ) 25

1 Household 2 Hired3 Partner

P3FP (Person 3, Full Time/Part Time ) 261 Full Time2 Part Time

P4AGE (Excluding You Who Works On The Farm? Person 4, Age ) 27

P4GEN (Person 4, Gender ) 281 Male2 Female

P4HPH (Person 4, Household/Hired/Partner ) 291 Household2 Hired3 Partner

Page 8: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

P4FP (Person 4, Full Time/Part Time ) 301 Full Time2 Part Time

P5AGE (Excluding You Who Works On The Farm? Person 5, Age ) 31

P5GEN (Person 5, Gender ) 321 Male2 Female

P5HPH (Person 5, Household/Hired/Partner ) 331 Household2 Hired3 Partner

P5FP (Person 5, Full Time/Part Time ) 341 Full Time2 Part Time

JE (Seasonal Employees Hired Per Month: Jan. Total ) 35

JM (Seasonal Employees Hired Per Month: Jan. Number of Men ) 36

JW (Seasonal Employees Hired Per Month: Jan. Number of Women ) 37

JC (Seasonal Employees Hired Per Month: Jan. Number of Children ) 38

FE (Seasonal Employees Hired Per Month: Feb. Total ) 39

FM (Seasonal Employees Hired Per Month: Feb. Number of Men ) 40

FW (Seasonal Employees Hired Per Month: Feb. Number of Women ) 41

FC (Seasonal Employees Hired Per Month: Feb. Number of Children ) 42

MRE (Seasonal Employees Hired Per Month: Mar. Total ) 43

MRM (Seasonal Employees Hired Per Month: Mar. Number of Men) 44

MRW (Seasonal Employees Hired Per Month: Mar. Number of Women) 45

MRC (Seasonal Employees Hired Per Month: Mar. Number of Children) 46

APE (Seasonal Employees Hired Per Month: Apr. Total) 47

APM (Seasonal Employees Hired Per Month: Apr. Number of Men) 48

APW (Seasonal Employees Hired Per Month: Apr. Number of Women) 49

APC (Seasonal Employees Hired Per Month: Apr. Number of Children) 50

MYE (Seasonal Employees Hired Per Month: May Total) 51

MYM (Seasonal Employees Hired Per Month: May Number of Men) 52

MYW (Seasonal Employees Hired Per Month: May Number of Women) 53

MYC (Seasonal Employees Hired Per Month: May Number of Children) 54

JNE (Seasonal Employees Hired Per Month: Jun. Total) 55

Page 9: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

JNM (Seasonal Employees Hired Per Month: Jun. Number of Men) 56

JNW (Seasonal Employees Hired Per Month: Jun. Number of Women) 57

JNC (Seasonal Employees Hired Per Month: Jun. Number of Children) 58

JLE (Seasonal Employees Hired Per Month: Jul. Total) 59

JLM (Seasonal Employees Hired Per Month: Jul. Number of Men) 60

JLW (Seasonal Employees Hired Per Month: Jul. Number of Women) 61

JLC (Seasonal Employees Hired Per Month: Jul. Number of Children) 62

AUE (Seasonal Employees Hired Per Month: Aug. Total) 63

AUM (Seasonal Employees Hired Per Month: Aug. Number of Men) 64

AUW (Seasonal Employees Hired Per Month: Aug. Number of Women) 65

AUC (Seasonal Employees Hired Per Month: Aug. Number of Children) 66

SE (Seasonal Employees Hired Per Month: Sep. Total) 67

SM (Seasonal Employees Hired Per Month: Sep. Number of Men) 68

SW (Seasonal Employees Hired Per Month: Sep. Number of Women) 69

SC (Seasonal Employees Hired Per Month: Sep. Number of Children) 70

OE (Seasonal Employees Hired Per Month: Oct. Total) 71

OM (Seasonal Employees Hired Per Month: Oct. Number of Men) 72

OW (Seasonal Employees Hired Per Month: Oct. Number of Women) 73

OC (Seasonal Employees Hired Per Month: Oct. Number of Children) 74

NOE (Seasonal Employees Hired Per Month: Nov. Total) 75

NOM (Seasonal Employees Hired Per Month: Nov. Number of Men) 76

NOW (Seasonal Employees Hired Per Month: Nov. Number of Women) 77

NOC (Seasonal Employees Hired Per Month: Nov. Number of Children) 78

DE (Seasonal Employees Hired Per Month: Dec. Total) 79

DM (Seasonal Employees Hired Per Month: Dec. Number of Men) 80

DW (Seasonal Employees Hired Per Month: Dec. Number of Women) 81

DC (Seasonal Employees Hired Per Month: Dec. Number of Children) 82

ORGCERT (Organic Production: When did you obtain your current certification?)83

ORGPRAC (When did you start your current organic practices?) 84

Page 10: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

Which method of soil preparation are most common on the holding?TILLP (Ploughing) 85TILLH (Harrowing) 86TILLS (Scarification) 87TILLD (Direct Planting) 88TILLR (Rotative) 89TILLB (Burning) 90TILLA (Animal Power) 91TILLC (Animal & Mechanical Power) 92

SLANAL (Has any soil analysis been carried out on this holding?) 93(blank) No1 Yes

SLLAST (When Was it last done?) 941 Last Year2 2 to 5 Years Ago3 > 5 Years Ago

SLNEXT (When will next be done?) 951 Next Year2 Next 2-5 Years3 None Planned

HHA (Hort-Crops: Approx. Area (HA)) 96

HO (Hort-Crops: Ownership) 971 Owner-Occupied2 Tenanted3 Shared-Owned4 You Lease It Out5 Leased Out6 Other

HR (Hort-Crops: Relief) 981 Flat2 Undulating3 Steep4 Very Steep

HS (Hort-Crops: Soil) 991 Sandy2 Loam3 Clay4 Peat

HW (Hort-Crops: Water Availability) 1001 Pipes2 Well3 River4 Stream5 Reservoir6 None7 Other (Please Specify)

HORG (Hort-Crops: Certified Area?) 1010 No1 Yes

HSYNP (Hort-Crops: Synthetic Pesticide?) 102

Page 11: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

0 No1 Yes

HSYNF (Hort-Crops: Synthetic Fertilizer?) 1030 No1 Yes

HSYNH (Hort-Crops: Synthetic Herbicide?) 1040 No1 Yes

NHHA (Non-Hort Crops: Approx. Area (Ha)) 105

NHO (Non-Hort Crops: Ownership) 1061 Owner-Occupied2 Tenanted3 Shared-Owned4 You Lease It Out5 Leased Out6 Other

NHR (Non-Hort Crops: Relief) 1071 Flat2 Undulating3 Steep4 Very Steep

NHS (Non-Hort Crops: Soil) 1081 Sandy2 Loam3 Clay4 Peat

NHW (Non-Hort Crops: Water Availability) 1091 Pipes2 Well3 River4 Stream5 Reservoir6 None7 Other (Please Specify)

NHORG (Non-Hort Crops: Certified Area?) 1100 No1 Yes

NHSYNP (Non-Hort Crops: Synthetic Pesticide?) 1110 No1 Yes

NHSYNF (Non-Hort Crops: Synthetic Fertilizer?) 1120 No1 Yes

NHSYNH (Non-Hort Crops: Synthetic Herbicide?) 1130 No1 Yes

GHA (Grassland: Approx. Area (Ha)) 114

Page 12: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

GO (Grassland: Ownership) 1151 Owner-Occupied2 Tenanted3 Shared-Owned4 You Lease It Out5 Leased Out6 Other

GR (Grassland: Relief) 1161 Flat2 Undulating3 Steep4 Very Steep

GS (Grassland: Soil) 1171 Sandy2 Loam3 Clay4 Peat

GW (Grassland: Water Availability) 1181 Pipes2 Well3 River4 Stream5 Reservoir6 None7 Other (Please Specify)

GORG (Grassland: Certified Area?) 1190 No1 Yes

GSYNP (Grassland: Synthetic Pesticide?) 1200 No1 Yes

GSYNF (Grassland: Synthetic Fertilizer?) 1210 No1 Yes

GSYNH (Grassland: Synthetic Herbicide?) 1220 No1 Yes

SHA (Set Aside: Approx. Area (Ha)) 123

SO (Set Aside: Ownership) 1241 Owner-Occupied2 Tenanted3 Shared-Owned4 You Lease It Out5 Leased Out6 Other

SR (Set Aside: Relief) 1251 Flat2 Undulating3 Steep4 Very Steep

Page 13: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

SS (Set Aside: Soil) 1261 Sandy2 Loam3 Clay4 Peat

SAW (Set Aside: Water Availability) 1271 Pipes2 Well3 River4 Stream5 Reservoir6 None7 Other (Please Specify)

SORG (Set Aside: Certified Area?) 1280 No1 Yes

SSYNP (Set Aside: Synthetic Pesticide?) 1290 No1 Yes

SSYNF (Set Aside: Synthetic Fertilizer?) 1300 No1 Yes

SSYNH (Set Aside: Synthetic Herbicide?) 1310 No1 Yes

RHA (Rough Grazing: Approx. Area (Ha)) 132

RO (Rough Grazing: Ownership) 1331 Owner-Occupied2 Tenanted3 Shared-Owned4 You Lease It Out5 Leased Out6 Other

RR (Rough Grazing: Relief) 1341 Flat2 Undulating3 Steep4 Very Steep

RS (Rough Grazing: Soil) 1351 Sandy2 Loam3 Clay4 Peat

RW (Rough Grazing: Water Availability) 1361 Pipes2 Well3 River4 Stream5 Reservoir6 None7 Other (Please Specify)

Page 14: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

RORG (Rough Grazing: Certified Area?) 1370 No1 Yes

RSYNP (Rough Grazing: Synthetic Pesticide?) 1380 No1 Yes

RSYNF (Rough Grazing: Synthetic Fertilizer?) 1390 No1 Yes

RSYNH (Rough Grazing: Synthetic Herbicide?) 1400 No1 Yes

WHA (Woodland: Approx. Area (Ha)) 141

WO (Woodland: Ownership) 1421 Owner-Occupied2 Tenanted3 Shared-Owned4 You Lease It Out5 Leased Out6 Other

WR (Woodland: Relief) 1431 Flat2 Undulating3 Steep4 Very Steep

WS (Woodland: Soil) 1441 Sandy2 Loam3 Clay4 Peat

WW (Woodland: Water Availability) 1451 Pipes2 Well3 River4 Stream5 Reservoir6 None7 Other (Please Specify)

WORG (Woodland: Certified Area?) 1460 No1 Yes

WSYNP (Woodland: Synthetic Pesticide?) 1470 No1 Yes

WSYNF (Woodland: Synthetic Fertilizer?) 1480 No1 Yes

WSYNH (Woodland: Synthetic Herbicide?) 149

Page 15: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

0 No1 Yes

TFHA (Tree Fruit: Approx. Area (Ha)) 150

TFO (Tree Fruit: Ownership) 1511 Owner-Occupied2 Tenanted3 Shared-Owned4 You Lease It Out5 Leased Out6 Other

TFR (Tree Fruit: Relief) 1521 Flat2 Undulating3 Steep4 Very Steep

TFS (Tree Fruit: Soil) 1531 Sandy2 Loam3 Clay4 Peat

TFW (Tree Fruit: Water Availability) 1541 Pipes2 Well3 River4 Stream5 Reservoir6 None7 Other (Please Specify)

TFORG (Tree Fruit: Certified Area?) 1550 No1 Yes

TFSYNP (Tree Fruit: Synthetic Pesticide?) 1560 No1 Yes

TFSYNF (Tree Fruit: Synthetic Fertilizer?) 1570 No1 Yes

TFSYNH (Tree Fruit: Synthetic Herbicide?) 1580 No1 Yes

O1HA (Others: Approx. Area (Ha)) 159

O1O (Others: Ownership) 1601 Owner-Occupied2 Tenanted3 Shared-Owned4 You Lease It Out5 Leased Out6 Other

O1R (Others: Relief) 161

Page 16: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

1 Flat2 Undulating3 Steep4 Very Steep

O1S (Others: Soil) 1621 Sandy2 Loam3 Clay4 Peat

O1W (Others: Water Availability) 1631 Pipes2 Well3 River4 Stream5 Reservoir6 None7 Other (Please Specify)

O1ORG (Others: Certified Area?) 1640 No1 Yes

O1SYNP (Others: Synthetic Pesticide?) 1650 No1 Yes

O1SYNF (Others: Synthetic Fertilizer?) 1660 No1 Yes

O1SYNH (Others: Synthetic Herbicide?) 1670 No1 Yes

FCU (Fertilizer: Do You Use Compost?) 1680 No1 Yes

FCT (Fertilizer: Use over the last 3 years) 169

1 Increased2 Decreased3 Stayed The Same

FCL (Fertilizer: Level of use) 1701 According To Label’s Instructions0 According To Personal Experience1 According To Technical Recommendation2 According To What You Can Afford5 Other (please specify)

FOU (Fertilizer: Do you use Organic?) 1710 No1 Yes

FOT (Fertilizer: Use over the last 3 years?) 172

1 Increased2 Decreased3 Stayed The Same

Page 17: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

FOL (Fertilizer: Level of use) 1731 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

FGU (Fertilizer: Do you use Green Manure?) 1740 No1 Use

FGT (Fertilizer: Use over last 3 years) 1751 Increased2 Decreased3 Stayed The Same

FGL (Fertilizer: Level of use) 1761 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

FSU (Fertilizer: Do you use Synthetic?) 1770 No1 Yes

FST (Fertilizer: Use over last 3 years?) 1781 Increased2 Decreased3 Stayed The Same

FSL (Fertilizer: Level of Use) 1791 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

FNU (Fertilizer: Do you use Natural?) 1800 No1 Yes

FNT (Fertilizer: Use over last 3 years) 1811 Increased2 Decreased3 Stayed The Same

FNL (Fertilizer: Level of use) 1821 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

PNU (Pest Control: Do you use ‘Natural’?) 1830 No1 Yes

Page 18: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

PNT (Pest Control: Use over the last 3 years) 1841 Increased2 Decreased3 Stayed The Same

PNL (Pest Control: Level of use) 1851 According To Label’s Instructions2 According To P ersonal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

PSYU (Pest Control: Do you use ‘Synthetic’?) 1860 No1 Yes

PSYT (Pest Control: Use over the last 3 years) 1871 Increased2 Decreased3 Stayed The Same

PSYL (Pest Control: Level of use) 1881 According To Label’s Instructions2 According To Personal Experience3 According To Technical Re commendation4 According To What You Can Afford5 Other (please specify)

WCHU (Weed Control: Do you use Quimico?) 1890 No1 Yes

WCHT (Weed Control: Use over last 3 years) 1901 Increased2 Decreased3 Stayed The Same

WCHL (Weed Control: Level of use) 1911 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Affor d5 Other (please specify)

WCMU (Weed Control: Do you use Manejo?) 1920 No1 Yes

WCMT (Weed Control: Use over last 3 years) 1931 Increased2 Decreased3 Stayed The Same

WCML (Weed Control: Level of use) 1941 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

Page 19: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

WCCU (Weed Control: Do you use Alelopatia?) 195 0 No 1 Yes

WCCT (Weed Control: Use over last 3 years) 1961 Increased2 Decreased3 Stayed The Same

WCCL (Weed Control: Level of Use) 1971 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

ACU (Animal Health: Do you use ‘C’ Chemical Prophylaxis against Parasites?) 1980 No1 Yes

ACT (Animal Health: Use over last 3 years) 1991 Increased2 Decreased3 Stayed The Same

ACL (Animal Health: Level of use) 2001 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

ANU (Animal Health: Do you use ‘N-NADA’ Non-Clinical use of Pharmaceuticals?)2010 No1 Yes

ANT (Animal Health: Use over last 3 years) 2021 Increased2 Decreased3 Stayed The Same

ANL (Animal Health: Level of use) 2031 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

AEU (Animal Health: Do you use ‘E’ Emergency Pharmaceuticals?) 2040 No1 Yes

AET (Animal Health: Use over last 3 years) 2051 Increased2 Decreased3 Stayed The Same

AEL (Animal Health: Level of use) 2061 According To Label’s Instructions

Page 20: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

ARU (Animal Health: Do you use ‘R’ Resistance?) 2070 No1 Yes

ART (Animal Health: Use over last 3 years) 2081 Increased2 Decreased3 Stayed The Same

ARL (Animal Health: Level of use) 2091 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

AGU (Animal health: Do you use ‘G’ Grazing Management & Pasture Rotation?) 2100 No1 Yes

AGT (Animal Health: Use of last 3 years) 2111 Increased2 Decreased3 Stayed T he Same

AGL (Animal Health: Level of use) 2121 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

ANCU (Animal Health: Do you use ‘N-Natural Control’? 2130 No1 Yes

ANCT (Animal Health: Use over last 3 years) 2141 Increased2 Decreased3 Stayed The Same

ANCL (Animal Health: Level of use) 2151 According To Label’s Instructions2 According To Personal Experience3 According To Technical Recommendation4 According To What You Can Afford5 Other (please specify)

SALETOT (Sale Total) 216

Please rank in the order of importance (1, 2, 3, 4) the relative importance ofthese sources of income for your household?YFMAG (Income from agricultural production on the farm) 217YFMNAG (Income from other activities on the farm) 218

Page 21: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

YNFEE (Off-farm income earned as an Employee) 219YNFER (Off-farm income earned as an Employer/Self-Employed) 220

VBDG (What is the approximate value of this capital asset: Buildings?) 221

(What is the approximate value of this capital asset: Machinery?) 222

CONSWI (Have you considered switching some or all your production toorganic?) 223

0 No1 Yes

For organic Farmers only: Which factors were most important in your decision toproduce organically?OSWOPP (Availability of higher output prices) 224OSWCTS (Reduced production costs) 225OSWRSK (Lower risk) 226OSWIM (Improving the image of farming) 227OSWENV (Environmental Principle) 228OSWPH (Producer and family health) 229OSWCH (Consumer health) 230

Please rank, in order of importance, the factors which stop you converting to,or increasing your proportion of, organic farming.OSTTCH (Lack of technical advice/experience) 231OSTCTS (Associated higher cost) 232OSTINV (Associated investment costs) 233OSTMKT (Lack of market outlets) 234OSTIPS (Unavailability of inputs) 235OSTOPP (Output prices) 236OSTYDS (Lower yields) 237OSTPHYS (Physical characteristics of the farm) 238OSTOTH (Other) 239

With respect to horticulture, does existing policy offer a higher level ofsupport to:HPOLC (Conventional) 240HPOLO (Organic) 241HPOLS (The same) 242HPOLDK (Don’t know) 243

CONOAS (Have you had any contact with organic advisory bodies?) 2440 No1 Yes

OASIMP (Did this contact make conversion ) 245

1 Most likely2 Less likely3 Unchanged

Please indicate the 3 most important (1, 2, 3) sources of information regardingfarming matters.INFPSS (The Press) 246IMPPSS (Did this source make conversion:) 247

Page 22: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

1 Most likely2 Less likely3 Neither

INFTV (Television) 248IMPTV (Did this source make conversion:) 249

1 Most likely2 Less likely3 Neither

INFRDO (Radio) 250IMPRDO (Did this source make conversion:) 251

1 Most likely0 Less likely1 Neither

INFADAS (ADAS) 252IMPADAS (Did this source make conversion:) 253

1 Most likely2 Less likely3 Neither

INFBUY Buyers/Merchants) 254IMPBUY (Did this source make conversion:) 255

1 Most likely2 Less likely3 Neither

INFPA (Producer association) 256IMPPA (Did this source make conversion:) 257

1 Most likely2 Less likely3 Neither

INFFMRS (Other farmers) 258IMPFMRS (Did this source make conversion:) 259

1 Most likely2 Less likely3 Neither

INFOAS (Organic advisory bodies 260IMPOAS (Did this source make conversion:) 261

1 Most likely2 Less likely3 Neither

INFOTH (Other) 262IMPOTH (Did this source make conversion:) 263

1 Most likely2 Less likely3 Neither

Are you a member of, or do you donate time or money to, any of these types oforganisations.MEMOPA (Organic producer association) 264IMPOPA (Does your membership make conversion : 265

1 Most likely2 Less likely3 Neither

MEMPGA (Producer group/Association) 266IMPPGA (Does your membership make conversion : 267

1 Most likely2 Less likely3 Neither

MEMCOOP (Co-Operative) 268

Page 23: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

IMPCOOP (Does your membership make conversion : 2691 Most likely2 Less likely3 Neither

MEMENV (Countryside/Environmental organisation) 270IMPENV (Does your membership make conversion : 271

1 Most likely2 Less likely3 Neither

MEMOTH (Other farmers’ organisation) 272IMPOTHOG (Does your membership make conversion : 273

1 Most like ly2 Less likely3 Neither

ENVISS (Are there any environmental issues locally, nationally, or globallywhich you feel are particularly important?) 274

0 No1 Yes

CONINDEF (Do you think that current practices in conventional farming willsustain farm productivity indefinitely?) 275

0 No1 Yes2 Don’t know

ORGINCEN (Are you aware of current financial incentives for organic production?) 276

0 No1 Yes

AREACON (What area of farming has been converted with the aid of theseincentives (Ha)?) 277

BIGINC (Should there be bigger incentives for converting to organicProduction? 278

0 No1 Yes2 Don’t know

IDEALORG (Ideally would your whole farm be organic?) 2790 No1 Yes2 Don’

In the next 5 years will the organic area on your farm:YRS5I (Increase) 280YRS5D (Decrease) 281YRS5SM (Stay the same) 282YRS5DK (Don’t know) 283

OPURCH (How far away is your nearest organic producer?) 284In KMDon’t know -1

ORGBIGP (“Organic produce gets a higher price” – Do you) 2850 Disagree1 Agree2 Don’t Know

MAXCON (Do you try to maximise the proportion of your own consumption that issupplied from your farm?) 286

Page 24: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

0 No1 Yes2 Don’t know

SELFCON (What percentage of your fruit and vegetable consumption do you produceyourself?) 287

%Don’t Know -1

In environmental terms, is the trend towards large farm sizes:FSZG (A good thing) 288FSZB (A bad thing) 289FSZU (Unimportant) 290FSZDK (Don’t Know) 291

TILLM (Which method of soil preparation are most common on the holding? Onlymechanical power) 292

OHCR (What amount of your sales came from: Organic Hortic Crops?) 293

CHCR (What amount of your sales came from: Conventional Hortic Crops?) 294

ONHCR (What amount of your sales came from: Organic Non-Hortic Crops?) 295

CNHCR (What amount of your sales came from: Conventional Non-Hortic Crops?) 296

OLSR (What amount of your sales came from: Organic Livestock Output?) 297

CLSR (What amount of your sales came from: Conventional Livestock output?) 298

MEMTU (Sindicatos ) 299IMPTU Does your membership make conversion : 300

1 Most likely2 Less likely3 Neither

HHSZE (Agricultural Income ) 3010 It Is Not1 Agric. Production Is Main Source Of

Household Income

YAGRIC (Agricultural Income ) 3020 It is not1 Agric production is main source of

income.

CONPOL (Policy Bias ) 3030 Does Not Agree1 Agrees Conventional Hortic. Receives

More Support

FSV (Attitude To Larger Farm Sizes ) 3040 Does Not Agree1 Agrees With Concentration Of

Production On Fewer Larger Farms Is Bad For TheEnvironment.

Page 25: Brazil Data Archiving Notes fileBrazil Data Archiving Notes Brazil dataset comprises 1 dataset: • Brarch.dta a STATA 5.0 file which contains the information from Boxes1-4, and 6-8

HEFE (Higher/Further Education ) 3050 Has Not1 Has Reached Second Grade

PGT14 (Household Size: No. People 14 & Above ) 306

PLT14 (No. People Under 14 ) 307

F2TYPE (Classification Of Farm Type ) 3080 Conventional1 Organic