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BUILDING ON LEARNINGS BENCHMARKING THE BUSINESS OF AGRICULTURE GROWTH OF FOOD DEMAND ROLE OF GOVERNMENT POLICIES & REGULATIONS Inclusive Value Chain Enabling Environment Government Policymakers Promote food production


  1. BUILDING ON LEARNINGS BENCHMARKING THE BUSINESS OF AGRICULTURE

  2. GROWTH OF FOOD DEMAND

  3. ROLE OF GOVERNMENT POLICIES & REGULATIONS Inclusive Value Chain Enabling Environment Government Policymakers ● Promote food production ● Facilitate access to ag inputs Policies, Laws ● Encourage competitiveness & Regulations ● Regulate competition ● Include small & local players

  4. THE VALUE OF BENCHMARKING You [Socrates] have discovered the reasons why some farmers are so successful that husbandry yields them all they need in abundance, and others are so inefficient that they find farming unprofitable. I should like to hear the reasons in each case, in order that we may do what is good and avoid what is harmful. Xenophon, 4 th Century BC

  5. THE VALUE OF BENCHMARKING

  6. BBA: A TOOL FOR IMPROVED POLICYMAKING Benchmarking the Business of Agriculture aims to identify and monitor policies and regulations that can foster an enabling environment for the local and regional business of agriculture and encourage and inform policy changes that support inclusive participation in agricultural markets.  Comparable and actionable indicators  Identify good practices  Motivate reforms

  7. TIMELINE 10 pilot 40 initial Concept 10 pilot + + development, countries 30 new 40 new consultations & preparation countries countries 2013-2014 2014 14-2015 2015 15-2016

  8. TIMELINE 10 pilot 40 initial Concept 10 pilot + + development, countries 30 new 40 new consultations & preparation countries countries 2014 14-2015 2015 15-2016 PILOT PHASE Data Data Pilot Consulta- Research Preparation Coding & Collection reporting tions Analysis

  9. THEMATIC COVERAGE Access to Access to Markets Agricultural Access to Access to Access to Rural Inputs Access to (Domestic, Agricultural Transport & Agricultural Electricity & (Seeds, Water Regional, Finance Storage Land ICT Fertilizer, Contract Machinery) Farming) Benchm hmarki arking ng the Business iness of Agricult iculture re

  10. THEMATIC COVERAGE CORE TOPI PICS AG AG AG LAND ND SEED ED FERT RT MARKET RKET FINANCE ANCE TRANSP ANSP INITIAL IAL TESTIN ING RURAL AG CONTR ICT ELECTR MECHAN FARM

  11. TECHNICAL NOTE Literature Experts Advisors

  12. / Literature INDICATOR AREAS Experts DATA POINTS Advisors

  13. QUESTIONNAIRES

  14. COUNTRY SELECTION otal GDP / Total Ag GDP/ Ag employme yment nt / Total otal emplo ployme yment

  15. COUNTRY SELECTION otal GDP / Total Ag GDP/ Ag employme yment nt / Total otal emplo ployme yment

  16. COUNTRY SELECTION

  17.  Government institutions  Companies  Associations  Academia  Research institutions  NGOs/farmer organizations CONTRIBUTORS

  18. COUNTRY VISITS November 2013 Guatem emal ala December 2013 Moro rocco, Ukraine, ne, Rwand wanda February 2014 Ethiopia opia, , Philipp ppines, nes, Mozamb mbique que March 2014 Nepal al, Ugand nda, a, Spain

  19. DESIGN TO ANALYSIS Literature Identification Questionnair Administer Data gaps Collection & Final data review & of indicators e draft, questionnair filled through Internal data verification of analysis & expert and data review & es to local desk review data report consultations points translation experts research

  20. DATA COLLECTION CHALLENGES • Unavailability of data (laws, regulations, metrics) • Statistical unreliability or weakness of data • Incomparability of data (varying collection methodology) • Reluctance to provide certain information • Limited contributor base to verify data (time & motion) • Specific case study assumptions need to be refined for time and motion indicators • Extensive follow up to obtain data

  21. LEARNINGS VOLUME OF DATA POINTS The important vs. the most important

  22. LEARNINGS ROBUST AND COMPARABLE MEASUREMENTS

  23. LEARNINGS DATA COLLECTION WISDOM • Interaction/relationship with contributor • Length of questionnaire • Prepopulating surveys

  24. LEARNINGS Measurability/Robustness (-) (+) (+) (-) Relevance

  25. LEARNINGS : AG TRANSPORT (TRUCKING SERVICES) Starting trucking company  Licensing requirements/procedures  Market structure  Pricing regulation & freight allocation  Transport prices and costs  Axle-load regulation and inspections  Road blocks, tolls and fees  International agreements  Foreign trucking competition  Accessing appropriate vehicles  Road quality, access and density  Rural roads financing  Agricultural storage 

  26. LEARNINGS : AG TRANSPORT (TRUCKING SERVICES) Licensing of truck operations Pricing regulation/ freight allocation Axle load regulations Foreign trucking competition Monitoring of road access, density and quality

  27. LEARNINGS : ACCESSING FINANCIAL SERVICES Collateral laws  Average loan cost  Average interest rates  Deposit insurance schemes  # mobile banking users  % agricultural loans  E-money regulations  Asset risk weighting  Regulation of financial intermediaries  # loans secured by movable collateral  Warehouse receipt systems  # of bank branches in rural areas  Microinsurance schemes 

  28. LEARNINGS : ACCESSING FINANCIAL SERVICES Collateral laws E-money regulations Regulation of financial intermediaries Warehouse receipt systems

  29. DATA CLASSIFICATION Laws, regulations & institutions Policy cy DATA Regu gula lator ory Mar arket/P /Practice ctice Policy performance & market metrics

  30. CONSULTATIVE/FEEDBACK PROCESS o Methodological approach o Analysis of indicators o Contributor strategy Report review CSOs Peer reviewers Country offices Donors Technical Technical Technical June Sept experts experts experts 2014 2014

  31. LOOKING FORWARD TOPICS ICS S CALE U P AG AG AG LAND SEED FERT MARKET FINANCE NCE TRANS NSP ENVIRON MECHA- LIVE- ICT WATER GENDER SUSTAIN NIZATIO TION STO TOCK

  32. LOOKING FORWARD D UE C ONSIDERATION OF S MALL F ARMERS

  33. LOOKING FORWARD B UILD & R EFINE I NDICATORS Challenge of choosing indicators that are:  most relevant in determining “ enability ” of environment  measurable and statistically robust  fully comparable  distinctively address market linkages/opportunities for smaller farmers

  34. PROCESS IN MOTION TECHNICAL NOTE INDICATORS / DATA POINTS QUESTIONNAIRES

  35. PROCESS IN MOTION 2014-2015 15 IMPL PLEM EMENT NTATION ION Remote Remote Data + Preparation data coding & In country collection analysis data collection

  36. THE AGRICULTURAL TRANSFORMATION MATRIX (ATM) 70% 60% Agri- ure VA as % of GDP Base d 50% 40% 30% ultur Transiti tion Urbani nizing ng ricul 25.0% Agri 20% Pre-Tran ansiti tion Dev evelope ped 10% 0% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Economical cally ly Ac Activ ive e in in Ag as % of T Total Economical ally Ac Activ ive e Populati ation

  37. ATM Segment Parameters Ag Ag-Ba Base sed Pre-Tra rans Trans ans Urba banisi sin Dev evelope ped Tot otal g Ag VA % Tot ot 40 % 11% 12% 9 % 2 % 5 % Ag Empl pl % Tot ot 72% 59 % 40 % 19 % 4 % 42 % AG VA/cap ap PPP$ P$ 387 521 514 682 519 533 533 Other er VA/cap ap 588 4,369 3,836 6,577 27,467 9,346 Tot ot GDP/c P/cap 975 4,879 4,350 7,256 27,986 9,879 Ag VA/Ag wrkr rkr 1,236 1,727 2,868 8,770 30,588 2,747 PPP$ P$ AG Cap Stk/ k/Ag wrk rkr 715 658 1,408 5,436 37,711 1,710 % at/ belo low $2 IPL 36 % 32% 14 % 6 % 0 % 37

  38. Glo loba bal Ag-Bas Ag ased Urbanising Not Classified Pre-Transition Ag-Based Transition Developed Urbani nising ng Trans nsition on Develope ped Pre-Tra rans nsitio tion l 38

  39. Su Sub Saha b Sahara ran n Afr frica ica

  40. So South th Asi sia

  41. AGRICULTURAL VA AND AGRIBUSINESS VA (AS % OF GDP, AND THEIR RATIO TO ONE ANOTHER) 1 : 0 0.56 1 : 0 0.87 1 : 1 1.06 1 : 1 1.1 .17 1 : 1 1.90 100% 90% 80% 70% Ag to Ag biz 60% 50% Ratio of A 40% 30% 20% 10% 0% 0% Ag Based Based Pre Transitio Pre nsition Transitio nsition Urbanising Urbanising Develop Dev eloped Ag V VA a as s % % of GDP f GDP Ag biz biz as as % % of of GDP GDP Re Remaini maining of of Oth Other Secto tors a rs as % % of of GD GDP

  42. POLICY IMPLICATIONS FROM THE ATM

  43. 46% wit ith h 4 69% wit ith h 4 hours hours

  44. BUILDING ON LEARNINGS BENCHMARKING THE BUSINESS OF AGRICULTURE Thank you

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