Measuring the Affordability of Nutritious Diets in Africa Price Indexes for Diet Diversity and the Cost of Nutrient Adequacy
Policies and programs often aim to improve the affordability of nutritious diets, but existing food price indexes are based on observed quantities that may not meet nutritional goals. To measure changes in the cost of reaching international standards of diet quality, we introduce a new cost of diet...
Saved in:
Published in: | American journal of agricultural economics Vol. 100; no. 5; pp. 1285 - 1301 |
---|---|
Main Authors: | , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
John Wiley and Sons, Inc
01-10-2018
Oxford University Press Blackwell Publishing Ltd |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Policies and programs often aim to improve the affordability of nutritious diets, but existing food price indexes are based on observed quantities that may not meet nutritional goals. To measure changes in the cost of reaching international standards of diet quality, we introduce a new cost of diet diversity index based on the lowest-cost way to include at least five different food groups as defined by the widely used minimum dietary diversity for women (MDD-W) indicator and compare that to a Cost of Nutrient Adequacy indicator for the lowest-cost way to meet estimated average requirements of essential nutrients and dietary energy. We demonstrate application of both indexes using national average monthly prices from two very different sources: an agricultural market information system in Ghana (2009–14) and the data used for national consumer price indexes in Tanzania (2011–15). We find that the cost of diet diversity index for Ghana fluctuated seasonally and since mid-2010 rose about 10% per year faster than national inflation, due to rising relative prices for fruit, which also drove up the cost of nutrient adequacy. In Tanzania there were much smaller changes in total daily costs, but more adjustment in the mix of food groups used for the least-cost diet. These methods can show where and when nutritious diets are increasingly (un)affordable, and which nutritional criteria account for the change. These results are based on monthly national average prices, but the method is generalizable to other contexts for monitoring, evaluation, and assessment of changing food environments. |
---|---|
Bibliography: | This article was invited by the President of the Agricultural & Applied Economics Association for presentation at the 2018 annual meeting of the Allied Social Sciences Association, after which it was subjected to an expedited peer‐review process http://sites.tufts.edu/candasa . This paper was presented in a session on Agricultural Production, Diets and Health at the annual meetings of the ASSA, 5 January 2018. We thank Andrew Dillon and other participants in that session as well as the AJAE editor, Travis Lybbert, and two anonymous reviewers for very valuable feedback on this paper, and thank John Nortey, Rebecca Heidkamp, Zachary Gersten and numerous workshop and seminar participants for their collaboration and comments on this work. Data collection and analysis for this project occurred under a project entitled Indicators of Affordability of Nutritious Diets in Africa (IANDA), funded by UKAid through the Department for International Development (DFID) as part of its program on Innovative Methods and Metrics for Agriculture‐Nutrition Actions (IMMANA), with additional support for data analysis from the Feed the Future Policy Impact Study Consortium as a subaward from Rutgers University under USDA Cooperative Agreement TA‐CA‐15‐008, and the Feed the Future Innovation Lab for Nutrition under USAID grant contract AID‐OAA‐L‐10‐00006. We are especially grateful for a successor project on Changing Access to Nutritious Diets in Africa and South Asia (CANDASA) to extend this work, with funding from UKAid and the Bill & Melinda Gates Foundation (OPP1182628). Model code and data for replication of results is available on that project's website at ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 William A. Masters is a professor, Yan Bai is a doctoral candidate, Anna Herforth is a consultant and Jennifer C. Coates is an associate professor, all in the Friedman School of Nutrition Science and Policy at Tufts University; Daniel Sarpong is Dean for the School of Agriculture and an associate professor in agricultural economics at the University of Ghana; and Fulgence Mishili is a senior lecturer in agricultural economics and Joyce Kinabo is a professor of human nutrition, both at Sokoine University of Agriculture in Tanzania. This paper was presented in a session on Agricultural Production, Diets and Health at the annual meetings of the ASSA, 5 January 2018. We thank Andrew Dillon and other participants in that session as well as the AJAE editor, Travis Lybbert, and two anonymous reviewers for very valuable feedback on this paper, and thank John Nortey, Rebecca Heidkamp, Zachary Gersten and numerous workshop and seminar participants for their collaboration and comments on this work. Data collection and analysis for this project occurred under a project entitled Indicators of Affordability of Nutritious Diets in Africa (IANDA), funded by UKAid through the Department for International Development (DFID) as part of its program on Innovative Methods and Metrics for Agriculture-Nutrition Actions (IMMANA), with additional support for data analysis from the Feed the Future Policy Impact Study Consortium as a subaward from Rutgers University under USDA Cooperative Agreement TA-CA-15-008, and the Feed the Future Innovation Lab for Nutrition under USAID grant contract AID-OAA-L-10-00006. We are especially grateful for a successor project on Changing Access to Nutritious Diets in Africa and South Asia (CANDASA) to extend this work, with funding from UKAid and the Bill & Melinda Gates Foundation (OPP1182628). Model code and data for replication of results is available on that project’s website at http://sites.tufts.edu/candasa. This article was invited by the President of the Agricultural & Applied Economics Association for presentation at the 2018 annual meeting of the Allied Social Sciences Association, after which it was subjected to an expedited peer-review process. |
ISSN: | 0002-9092 1467-8276 |
DOI: | 10.1093/ajae/aay059 |