Publication Type
Book Chapter
Version
publishedVersion
Publication Date
4-2025
Abstract
We propose a new model – “industrial agriculture of smallholders” – to conceptualize the agri-food system in China. These smallholders are embedded in “diversified clusters” in rural China, which also include rural industries and extensive rural-urban linkages. Their relationships with markets are more complex and dynamic than what is often portrayed under the linear framework of “commodity chains”. As an alternative to the globalized model of industrial agriculture, we argue that “industrial agriculture of smallholders” has greater resilience to external shocks. Using a village in northern China during the COVID-19 pandemic, we illustrate how economic diversity within this “diversified cluster” buffered the community from the devastating impact of external disruptions and allowed residents to devise effective coping strategies. Two other conditions further contributed to the community's resilience: first, the dense network of market relations that provided flexibility and adaptability, and second, the extensive use of technology that helped producers raise productivity.
Discipline
Agricultural and Resource Economics | Asian Studies
Research Areas
Sociology
Areas of Excellence
Sustainability
Publication
Commodity chains under pressure: Resilience through coping, adaptation, and transformation
Editor
ESPETER, Lara M.; HERING, Linda
First Page
78
Last Page
98
ISBN
9781035355297
Identifier
10.4337/9781035355303.00014
Publisher
Edward Elgar Publishing
City or Country
Cheltenham, UK
Citation
ZHANG, Qian Forrest, & HU, Zhanping. (2025). Can industrial agriculture be resilient to external shocks? Industrial agriculture in diversified clusters in rural China. In Commodity chains under pressure: Resilience through coping, adaptation, and transformation (pp. 78-98). Cheltenham, UK: Edward Elgar Publishing.
Available at: https://ink.library.smu.edu.sg/soss_research/4190
Copyright Owner and License
author
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.4337/9781035355303.00014