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<p>The adoption of agroforestry practices, particularly boundary planting, offers significant ecological and economic benefits for tea growers. This study integrates the Diffusion of Innovation Theory and the Theory of Planned Behavior to examine the determinants influencing the adoption intention of boundary planting among tea growers in the Nilgiris district, Tamil Nadu, India. A cross-sectional survey of 300 tea growers was conducted, and the data were analysed using partial least squares structural equation modeling (PLS-SEM). The findings reveal that attitude, perceived behavioral control, relative advantage, compatibility, complexity, trialability, and observability significantly influence adoption intentions, whereas subjective norms did not exhibit a statistically significant effect. These results suggest that individual perceptions of agroforestry’s benefits and feasibility exceed external social influences in decision-making. The study underscores the need for targeted interventions such as capacity-building programs, financial incentives, and technology-driven advisory services to enhance adoption. By leveraging precision agroforestry tools, structured extension programs, and market-based incentives, decision-makers and stakeholders can facilitate the large-scale integration of boundary planting within tea plantations. The findings contribute to the growing literature on agroforestry adoption and provide actionable insights for improving sustainability in tea-based farming systems. Future research should explore comparative adoption patterns across different agroforestry models and develop region-specific policy frameworks to enhance adoption scalability.</p>

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A PLS-SEM approach to understanding tea growers’ adoption intentions of agroforestry boundary planting: an integrated theoretical framework

  • 期刊论文

  • 发表日期：

    2025年5月3日

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  • G. Gnanasanjevi,
  • P. Balasubramaniam,
  • N. Sriram,
  • R. Gangai Selvi,
  • J. Suresh

摘要

The adoption of agroforestry practices, particularly boundary planting, offers significant ecological and economic benefits for tea growers. This study integrates the Diffusion of Innovation Theory and the Theory of Planned Behavior to examine the determinants influencing the adoption intention of boundary planting among tea growers in the Nilgiris district, Tamil Nadu, India. A cross-sectional survey of 300 tea growers was conducted, and the data were analysed using partial least squares structural equation modeling (PLS-SEM). The findings reveal that attitude, perceived behavioral control, relative advantage, compatibility, complexity, trialability, and observability significantly influence adoption intentions, whereas subjective norms did not exhibit a statistically significant effect. These results suggest that individual perceptions of agroforestry’s benefits and feasibility exceed external social influences in decision-making. The study underscores the need for targeted interventions such as capacity-building programs, financial incentives, and technology-driven advisory services to enhance adoption. By leveraging precision agroforestry tools, structured extension programs, and market-based incentives, decision-makers and stakeholders can facilitate the large-scale integration of boundary planting within tea plantations. The findings contribute to the growing literature on agroforestry adoption and provide actionable insights for improving sustainability in tea-based farming systems. Future research should explore comparative adoption patterns across different agroforestry models and develop region-specific policy frameworks to enhance adoption scalability.