| Issue |
E3S Web Conf.
Volume 665, 2025
6th International Conference on Agribusiness and Rural Development (IConARD 2025)
|
|
|---|---|---|
| Article Number | 01016 | |
| Number of page(s) | 9 | |
| Section | Agricultural Economic and Business | |
| DOI | https://doi.org/10.1051/e3sconf/202566501016 | |
| Published online | 19 November 2025 | |
Estimating the Effect of ICT Access on Household Food Spending Using Propensity Score Matching
Department of Agribusiness, Universitas Muhammadiyah Yogyakarta, Indonesia
* Corresponding author: heriakhmadi@umy.ac.id
The increasing availability of information and advancements in information technology have shaped multiple dimensions of daily life. This study investigates how these factors influence household food consumption behavior in Indonesia, drawing on data from the 2014 Indonesian Family Life Survey (IFLS). The IFLS offers detailed data on household demographics, access to information and technology, and patterns of food consumption, including field-verified observations. Using Propensity Score Matching (PSM), the study evaluates the effects of access to information and digital technology on the share of household expenditure dedicated to healthy, processed, and fast foods. The analysis reveals that households with internet access spend, on average, 0.195 more in logged food expenditure than comparable households without such access. Moreover, owning a cellphone is significantly linked to greater food consumption levels, even after accounting for numerous control variables. These findings suggest that access to digital technology may enhance food choices, improve access to nutritional information, and potentially increase household income.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.