ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Agricultural and Food Economics
Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1522255
This article is part of the Research TopicCrop Responses and Adaptation Strategies Under Global Climate ChangeView all 5 articles
Near-surface ozone pollution and Planting Decision: Evidence From China Crop Structure
Provisionally accepted
Yanbo Liu
Mingshun Guo*- Shenyang University of Technology, Shenyang, China
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Crop planting structure fundamentally shapes food security while serving as a critical pathway for high-quality agricultural development. This study examines the relationship between near-surface ozone pollution and cash crop cultivation using panel data from Chinese prefecture-level cities (2014-2019). Through Pedroni cointegration tests and spatial autocorrelation analysis, this study finds that: ozone pollution in China exhibits distinct regional characteristics, with expanding high-concentration zones concentrated in central and southern regions. Cash crop (it refers to crops that provide raw materials for industry, especially light industry) cultivation areas exhibit significant spatial autocorrelation and clustering patterns across Chinese prefecture-level cities. A long-term negative cointegration relationship between ground-level ozone pollution and cash crop planting shares. The impact of ozone concentration on the planting area of cash crops shows an inverted U-shaped pattern. The inflection point is when the near-surface ozone concentration is 64.81ppb. The vast majority of cities(O3>64.81ppb, N=1597) are on the right side of the inflection point, accompanied by a negative spatial spillover effect. This article argues that the government should prioritize the development of ozone-resistant crop varieties and the establishment of farming systems that are adaptable to odor pollution, in order to mitigate its negative impact on agricultural production.
Keywords: near-surface ozone, cropping structure, cash crops, spatial panel covatiance, China
Received: 04 Nov 2024; Accepted: 07 Aug 2025.
Copyright: © 2025 Liu and Guo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Mingshun Guo, Shenyang University of Technology, Shenyang, China
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