Characterising the fruit and vegetable environment of peri-urban Hyderabad, India-Reference-Cited by-同舟云学术

Characterising the fruit and vegetable environment of peri-urban Hyderabad, India

Published:2020-03 Issue: Volume:24 Page:100343
ISSN:2211-9124
Container-title:Global Food Security
language:en
Short-container-title:Global Food Security

Author:

Surendran Shilpa,Selvaraj Kiruthika,Turner Christopher,Addanki Srivalli,Kannuri Nanda Kishore,Debbarma Arindam,Kadiyala Suneetha,Kinra Sanjay,Walls Helen

Funder

UK Government's Department for International Development

Bill & Melinda Gates Foundation

Publisher

Elsevier BV

Subject

Safety Research,Safety, Risk, Reliability and Quality,Ecology,Food Science

Reference56 articles.

1. The impact of food prices on consumption: a systematic review of research on the price elasticity of demand for food;Andreyeva;Am. J. Public Health,2010

2. Food choice drivers in the context of the nutrition transition in Delhi, India;Bailey;J. Nutr. Educ. Behav.,2018

3. Africa's urban food deserts;Battersby;Urban Forum,2014

4. Farm-level pathways to improved nutritional status: introduction to the special issue;Carletto;J. Dev. Stud.,2015

5. The local food environment and diet: a systematic review;Caspi;Health Place,2012

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