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  • Indicadores calculo Ayuda Interna –NPR y NPA-

    David Laborde

    International Food Policy Research Institute

    Buenos Aires, Septiembre 2017

  • Tasa Nominal de Protección (NRP)

    Based on initial work by Krueger and al. for developing countries

    Focus on price differences between domestic farm gate prices and world prices (called reference prices after adjustment)

    Expressed as a percentage of undistorted prices:

    Compare like and like: adjustment for quality, processing and transportation costs

    Price Received by Farmers

    Policy impact on prices

    Price without policies

    X100 = NRP in %

  • Tasa Nominal de Protección (NRP)

    Highly impacted by border measures: custom duties, export taxes and subsidies, quantitative restrictions, Non Tariff Barriers, and price management policies

    Aggregated measure of all instruments: pros and cons

    No measurement of bilateral preferences

    Concept Similar in nature of OECD Market Price Differential, Nominal Protection Coefficient and Market Price Support

    Could be adjusted for feed costs, But not yet a full ERP (effective rate of protection)

  • Tasa Nominal de Asistencia (NRA)

    Beyond price support (NRA_bms): Need to include subsidies

    Linked to the production of a particular goods(NRA_dms)NRA_dms+NRA_bms=NRA_o

    Linked to input uses (NRA_i)

    Historical payment and General services: lessdistortive (close to the Green box): NRA_decpay

    NRA=NRA_o+NRA_i+NRA_dec , Similar to theOECD PSE concept

    From commodity specific to the whole agriculture

    Extension of the concept to look at relative NRA or RRA (is industry more protected thanagriculture)

    Extensive covered in Anderson (2007)

  • Ag-Incentives

    Consortium

    IDB

    IFPRI

    OECD

    World Bank

    MAFAP/FAO

    CGIAR and PIM

    The Ag-Incentives Consortium• A Collective Effort: Towards a continuous effort for

    global monitoring of agricultural distortions

    ◦ Started in 2011

    ◦ Towards a continuous effort for global monitoring of agricultural distortions

    ◦ Facilitated by IFPRI

    ◦ Follow-up on Anderson and World Bank initiative -> provide institutional framework for a long standing approach

    ◦ Inspired by GTAP consortium

  • Country and Product coverage

    64 products

    41 countries / regions (EU-28=1)

    2005-2015/2016

    Contents and Coverage

    10,210,8

    5,7

    0,8

    5,7

    7,7

    5,1

    8,3

    10,0

    9,1

    16,5

    41

    4850 50

    53 54 54 53

    49

    46

    24

    0

    10

    20

    30

    40

    50

    60

    0,0

    2,0

    4,0

    6,0

    8,0

    10,0

    12,0

    14,0

    16,0

    18,0

    2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

    NR

    P, %

    Summary

    NRP, Average Number of Regions

    Fuente: Ag- Incentives 2017. http://ag-incentives.org/

  • Crossing paths

    -10

    -5

    0

    5

    10

    15

    20

    25

    30

    35

    2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

    No

    min

    al R

    ate

    of

    Pro

    tect

    ion

    , %

    Developed Countries Developing Countries

    ---------DAI---------- -------------------Ag-Incentives Consortium------------------

  • NRP by product

    -80,0

    -60,0

    -40,0

    -20,0

    0,0

    20,0

    40,0

    60,0

    80,0

    2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

    Millet

    Poultry meat

    Rice

    Fuente: Ag- Incentives 2017. http://ag-incentives.org/

  • NRP by region

    -25

    -20

    -15

    -10

    -5

    0

    5

    10

    15

    20

    25

    2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

    No

    min

    al R

    ate

    of

    Pro

    tect

    ion

    , %

    Europe Africa

    Asia Northern America

    Latin America and the Caribbean Oceania

  • Las distorsiones de precios siguen importando:Productos más distorsionados ( USD 2014) – Total 390,000 millones

    Fuente: Ag- Incentives 2017. http://ag-incentives.org/

  • NRP by Country

    -20,0

    -15,0

    -10,0

    -5,0

    0,0

    5,0

    10,0

    15,0

    20,0

    25,0

    2011 2014

    Belize

    Sri Lanka

    Ukraine

    United States ofAmerica

    Viet Nam

    Fuente: Ag- Incentives 2017. http://ag-incentives.org/

  • Distribution of distortions (positive and negative)

    Bovine Meat63%

    Poultry meat24%

    Potatoes7%

    Plants and flowers

    3%

    Tomatoes2% Eggs

    1%

    European Union (2012)

    Bovine Meat Poultry meat Potatoes Plants and flowers

    Tomatoes Eggs Sugar Sheep meat

    Fuente: Ag- Incentives 2017. http://ag-incentives.org/

  • Distortions value (Billion USD)

    - 20- 15- 10

    - 5

    5 10 15 20 25 30 35

    2007 2009 2011 2007 2009 2011 2007 2009 2011 2007 2009 2011

    Argentina Brazil Japan Pakistan

    Bn

    USD

    Other

    Oilseeds and Products

    Grains

    Fruits and Vegetables

    Animal Products

  • Fuente: Ag- Incentives 2017. http://ag-incentives.org/

  • Beyond nomenclature and definition harmonization, keep in mind about differences“Reference Price” in the MPD or NRP computations is not the WTO reference price for AMS computation: one is market based, the other is a historical/legal concept

    %PSE are expressed as a % of gross farm income (inc. distortions) while %NRA, %NRP are based on undistorted values:e.g. A 75% PSE is equivalent to a 300% NRA

    ◦ Last but not least, these measures are accounting instruments, to assess the impacts you need economic models that will use these metrics!

  • Thank you!

    Come an visitwww.ag-incentives.org

    http://www.ag-incentives.org/