Estimates of Distortions to Agricultural Incentives 1955-2011
Argentina, Australia, Austria...and 76 more, 1955 - 2011
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WLD_1955-2011_EDAI_v01_M
Estimates of Distortions to Agricultural Incentives 1955-2011
| Name | Country code |
|---|---|
| Argentina | ARG |
| Australia | AUS |
| Austria | AUT |
| Belgium | BEL |
| Benin | BEN |
| Burkina Faso | BFA |
| Bulgaria | BGR |
| Brazil | BRA |
| Canada | CAN |
| Switzerland | CHE |
| Chile | CHL |
| China | CHN |
| Côte d'Ivoire | CIV |
| Cameroon | CMR |
| Colombia | COL |
| Cyprus | CYP |
| Czech Republic | CZE |
| Germany | DEU |
| Denmark | DNK |
| Dominican Republic | DOM |
| Ecuador | ECU |
| Egypt, Arab Rep. | EGY |
| Spain | ESP |
| Estonia | EST |
| Ethiopia | ETH |
| Finland | FIN |
| France | FRA |
| United Kingdom | GBR |
| Ghana | GHA |
| Greece | GRC |
| Hungary | HUN |
| Indonesia | IDN |
| India | IND |
| Ireland | IRL |
| Iceland | ISL |
| Israel | ISR |
| Italy | ITA |
| Japan | JPN |
| Kazakhstan | KAZ |
| Kenya | KEN |
| Korea, Rep. | KOR |
| Sri Lanka | LKA |
| Lithuania | LTU |
| Latvia | LVA |
| Morocco | MAR |
| Madagascar | MDG |
| Mexico | MEX |
| Mali | MLI |
| Mozambique | MOZ |
| Malaysia | MYS |
| Nigeria | NGA |
| Nicaragua | NIC |
| Netherlands | NLD |
| Norway | NOR |
| New Zealand | NZL |
| Pakistan | PAK |
| Philippines | PHL |
| Poland | POL |
| Portugal | PRT |
| Russian Federation | RUS |
| Sudan | SDN |
| Senegal | SEN |
| Slovak Republic | SVK |
| Slovenia | SVN |
| Sweden | SWE |
| Chad | TCD |
| Togo | TGO |
| Thailand | THA |
| Turkiye | TUR |
| Taiwan, China | TWN |
| Tanzania | TZA |
| Uganda | UGA |
| Ukraine | UKR |
| United States | USA |
| Viet Nam | VNM |
| South Africa | ZAF |
| Zambia | ZMB |
| Zimbabwe | ZWE |
| Czechoslovakia | CSK |
Macroeconomics - Indicators
| Type | Identifier |
|---|---|
| DOI | https://doi.org/10.48529/7kew-g205 |
The vast majority of the world’s poorest households depend on farming for their livelihood. In the past their earnings were often depressed by pro-urban and anti-agricultural biases of their own country’s policies. While progress has been made over the past two decades by numerous developing countries in reducing those policy biases, many trade-reducing price distortions remain intersectorally as well as within the agricultural sector of low-, middle- and high-income countries.
This project, in seeking to understand the extent, effects of and reasons behind that transformation, began by compiling new estimates of price distortions over the past half century. National country studies were undertaken in more than 50 countries in Africa, Asia, Latin America, and Europe’s transition economies. They were supplemented with similar estimates and analytical narratives of policy trends in 20 high-income countries. Together those countries account for more than 90 percent of the value of global agricultural output.
The core database provides nominal rates of assistance estimates for the main individual commodities that together account for about 70 percent of the value of farm production in those countries, as well as guesstimates of the NRA for the 30 percent of farm production not covered. Also estimated is the NRA for non-agricultural tradables so as to compute a relative rate of assistance. Consumer tax equivalents are also provided for the covered products in each focus country, along with value of production and consumption at undistorted prices and of trade for each covered product and for non-covered farm products. The working paper no. 4612, available as external resources, serves as the "methodology paper" for this first database.
Aggregate data [agg]
Scope
The core database files contain, among others, the following variables for each focus country or for regional aggregates of focus countries:
Nominal rates of assistance (NRA), by individual covered farm product and by policy instrument
Nominal rate of assistance for all agricultural tradables (incl. non-covered products)
Nominal rate of assistance for all non-agricultural tradables
Relative rate of assistance (RRA)
Consumer tax equivalent (CTE), by individual covered farm product
Official foreign exchange rate
Equilibrium exchange rate used in NRA calculations
Volume of production, by individual covered farm product
Domestic producer farmgate price, by individual covered farm product
Value of production at undistorted prices for each covered farm product
Value of consumption at undistorted prices for each covered farm product
Share of production exported, share of consumption imported, and self-sufficiency ratio, by individual covered farm product
Population, total and rural
Employment, total and agricultural
GDP per capita, in constant year 2000 US$
Gross subsidy equivalent to farmers, in constant year 2000 US$
Producers and sponsors
| Name | Affiliation |
|---|---|
| Kym Anderson | University of Adelaide |
| Signe Nelgen | University of Adelaide |
| Ernesto Valenzuela | University of Adelaide |
Data collection
| Start | End |
|---|---|
| 1955 | 2011 |
Data Access
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Kym Anderson and Ernesto Valenzuela. Estimates of Distortions to Agricultural Incentives (EDAI) 1955-2007. Ref. WLD_2007_EDAI_v01_M. Dataset downloaded from http://microdata.worldbank.org on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Development Research Group | World Bank | research@worldbank.org | http://go.worldbank.org/B9W4QTDHR0 |
Metadata production
DDI_WLD_1955-2011_EDAI_v02_M
2011-02-11
Metadata version
DDI Document - Version 02 - (04/27/21)
This version is identical to DDI_WLD_1955-2011_EDAI_v01_M but country field has been updated to capture all the countries covered by survey.
Version 01 (February 2011)