Moral norms and social pressure drive low-carbon tech adoption in chinese agriculture

The research identifies four major direct drivers of LCAT adoption: behavioral attitudes, subjective norms, perceived behavioral control, and personal norms. Among these, subjective norms, social pressure from family, peers, and local authorities, had the strongest influence. Farmers are more likely to adopt sustainable technologies when their neighbors, village leaders, and family members encourage or model such behavior. This reflects the tight-knit social fabric of Chinese rural communities, where collective norms significantly shape individual choices.


CO-EDP, VisionRICO-EDP, VisionRI | Updated: 16-05-2025 18:17 IST | Created: 16-05-2025 18:17 IST
Moral norms and social pressure drive low-carbon tech adoption in chinese agriculture
Representative Image. Credit: ChatGPT
  • Country:
  • China

In a decisive move toward carbon neutrality and green agriculture, new research has unveiled the complex social and psychological underpinnings shaping Chinese farmers’ willingness to adopt low-carbon agricultural technologies (LCATs). The study, published in Agriculture, is titled “Chinese Farmers’ Low-Carbon Agricultural Technology Adoption Behavior and Its Influencing Factors.”

Conducted by a multidisciplinary team from Nanjing Agricultural University and other institutions, the research employs a structural equation model to empirically investigate 360 farmers in Wuxi, Jiangsu Province - a key low-carbon agriculture demonstration zone. The study argues that while technical awareness and economic support are important, farmers’ decisions to adopt LCATs are more profoundly influenced by social expectations, personal ethics, and internalized moral responsibility. The research integrates two leading behavioral theories, the Theory of Planned Behavior (TPB) and the Norm Activation Model (NAM), to uncover both rational and normative drivers of sustainable agricultural transitions.

What factors influence farmers’ decisions to adopt low-carbon technologies?

The research identifies four major direct drivers of LCAT adoption: behavioral attitudes, subjective norms, perceived behavioral control, and personal norms. Among these, subjective norms, social pressure from family, peers, and local authorities, had the strongest influence. Farmers are more likely to adopt sustainable technologies when their neighbors, village leaders, and family members encourage or model such behavior. This reflects the tight-knit social fabric of Chinese rural communities, where collective norms significantly shape individual choices.

Personal norms emerged as the second most potent force, highlighting the role of internalized ethical obligations. Farmers who perceived adopting LCATs as morally right reported greater engagement with sustainable practices. Behavioral attitude, evaluations of the costs, benefits, and risks of LCATs, and perceived behavioral control, confidence in having the time, skills, and money to implement them, also positively influenced adoption, though to a lesser extent.

Interestingly, the study reveals that while rational considerations like financial feasibility matter, they are frequently overshadowed by moral and social considerations, especially in smallholder farming contexts.

How do moral awareness and responsibility translate into action?

The study also explores how deeper cognitive and emotional processes translate into environmental behavior. Consequence awareness, the understanding that traditional farming harms the environment, was shown to have a profound effect on both responsibility attribution and personal norms. Farmers who recognized the ecological consequences of inaction were more likely to feel personally responsible for pollution and resource depletion. This, in turn, reinforced their ethical resolve to adopt LCATs.

The researchers mapped out a chain of mediation effects that connect awareness to action. One prominent path moves from consequence awareness to responsibility attribution, then to personal norms, and finally to behavioral adoption. This model illustrates a psychological sequence where cognition feeds moral emotion, which then manifests in behavior change.

Importantly, the study confirms that responsibility attribution alone is insufficient unless reinforced by a clear understanding of environmental consequences. Thus, merely urging farmers to be more responsible may fall short unless paired with environmental education that makes the consequences of their choices tangible and emotionally resonant.

What are the policy implications for driving sustainable agricultural change?

The findings have wide-ranging implications for policymakers, rural development planners, and climate action strategists. To scale LCAT adoption, the authors suggest leveraging social capital and community-based advocacy. Programs led by trusted village leaders, local influencers, and farmer cooperatives can amplify subjective norms and spark widespread behavior shifts.

Educational campaigns should not only highlight the technical and economic benefits of LCATs but also frame them as moral imperatives aligned with farmers’ personal and community values. For example, training modules could include both skill-building sessions and environmental ethics workshops.

Given that perceived behavioral control—farmers’ belief in their own ability to adopt LCATs—was also significant, interventions should ensure adequate access to technical support, time-saving technologies, and financing options. Government subsidies, training packages, and demonstration plots can reduce the perceived difficulty and risk of adoption.

The study also calls for the design of emotionally intelligent outreach materials. Farmers motivated by guilt, empathy, or pride in sustainable practices are more likely to change their habits than those responding solely to economic logic. This insight opens the door for novel behavioral interventions that blend informational, normative, and affective messaging.

A nuanced framework for future research and action

By combining TPB and NAM, the researchers have developed an integrated model that better captures the psychological complexity behind farmers’ decisions. The study highlights that sustainable agricultural behavior is not merely a matter of individual rationality or financial calculus - it is deeply embedded in moral reasoning, social identity, and communal expectation.

Future research could expand the sample size beyond Wuxi and explore emotional variables like pride, shame, and environmental stress. The authors also advocate for longitudinal studies to track how these behavioral drivers evolve over time, and how lasting change can be embedded into rural social systems.

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