 Digital technology, labor allocation, and nutrition intake: Evidence from ChinaXuan Leng, Yichuan Zhang and Ruiqi Cheng Technological Forecasting and Social Change, 2024, vol. 201, issue C Abstract: This paper examines the impact of digital technologies on nutritional intake in less developed regions. The theoretical analysis suggests that the development of digital technologies improves labor allocation efficiency and increases individual income, thereby affecting nutritional intake. Using data from the China Family Panel Studies (CFPS), we find that adopting digital technologies significantly increases the likelihood of protein consumption among rural residents. This adoption has facilitated better labor allocation by creating job opportunities and promoting non-agricultural employment, leading to increased income and improved nutrition for rural populations. Further analysis reveals that access to digital technology plays a more crucial role in enhancing nutritional intake for individuals with low education levels and low incomes, indicating its potential to bridge the digital divide in terms of nutrition. Our study offers a fresh perspective on how less developed regions can leverage digital technology more equitably. Keywords: Digital technology; Labor force allocation; Nutritional intake; Balanced development (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:201:y:2024:i:c:s0040162524000246 DOI: 10.1016/j.techfore.2024.123228 Access Statistics for this article Technological Forecasting and Social Change is currently edited by Fred Phillips More articles in Technological Forecasting and Social Change from Elsevier |
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