Household economy approach (HEA) software - mapping function

New HEA software developed by Evidence for Development

30th July 2015

John Seaman

John Seaman

Co-founder and Director of Research

The household economy approach (HEA) is a method for assessing the vulnerability of rural populations to economic shocks and changes, based on their livelihood patterns and market information. It is now widely used as a method of famine early warning by many governments and humanitarian agencies, and also has important applications for managing the impacts of climate change on poverty and food security in developing countries. John Seaman, EfD’s co-founder and director of research, led the team in Save the Children UK which developed and piloted the HEA over 20 years ago – and he is now close to finishing new software that will greatly extend the method.

The need for new software

The household economy approach (HEA) is based on data describing the economies and wealth distributions of households in rural livelihood zones of developing countries, with current and projected data on types and quantities of production (including crops, wild foods and employment) and prices used to predict the impacts of drought and other changes on household incomes and welfare. These datasets are difficult to manage and analyse. At national scale, analysis requires the manipulation of data describing many livelihood zones, the development of multiple scenarios based on different assumptions – such as different price projections – and the production of output which is accessible to decision makers.

The original HEA design was based on the use of dedicated software, but for institutional reasons prototype software produced in the 1990s was never redeveloped in a usable package. The gap has been filled by spreadsheets, chiefly the ‘Livelihood Impact Analysis Spreadsheet’ (LIAS) developed by the Food Economy Group. However, spreadsheets have several limitations. They are a poor medium for data storage – data is now stored on hundreds of spreadsheets, leading to difficulties in data retrieval, while much contextual data is not retained at all – and spreadsheets allow limited scope for data manipulation and for quickly obtaining output in practical forms.

Evidence for Development’s HEA software

The HEA software developed by EfD is designed to:

  • Simplify, speed up and reduce errors in field data entry. Data can be entered manually or via computer-generated spreadsheets, a method which has been very successfully used with the individual household method (IHM). The software also allows for more extensive data checks to be conducted.

Household economy approach (HEA) software - data entry

  • Retrieve data from existing spreadsheets. Other software developed by EfD allows data to be directly loaded from existing spreadsheets. This will allow an archive to be developed in a single searchable database, facilitating more effective use of previously-collected data.
  • Allow data to be retrieved and scenarios developed at any scale from an individual livelihood zone to a regional dataset. This will also allow HEA data to be combined with other GIS datasets such as land use, which has immediate applications to the understanding of the vulnerability of livelihoods to climate change, and to better inform the development of policies addressing future threats.
  • Provide the results of scenario analysis directly in the form of reports, charts and (using MapWinGIS.ocx) maps.

Household economy approach (HEA) software - comparing results

Household economy approach (HEA) software - wealth groups chart

Household economy approach (HEA) software - mapping function

 

The software is now substantially complete. It is hoped that field testing can be completed and the software introduced to operational use within 2015.

 

 

Categories: Climate change, Data, Disasters and emergencies, Famine prevention and food security, HEA, Inequality, Livelihoods, Policy and programme design, Poverty research, Technology, Vulnerability assessment

Comments

  1. Mouhamadou Abdoulaye Diaw

    Dear, I would like to be trained in IHEM. I work with Oxfam in Mali. Best wishes

    18th June 2016 – 11:54 pm

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