Artificial intelligence as a driver in adopting green innovation in the agricultural sector: evidence from an emerging economy

Adopting emerging technologies to drive economic development and promote sustainability has become a priority for developing countries. This study analyzes the relationship between artificial intelligence (AI) and green innovation, using the Colombian agricultural sector as a case study. From a quantitative approach, structural equation modeling (SEM) was applied to a sample of 231 agricultural production units. The results indicate a positive and significant association between AI and green product innovation, especially in eco-design practices, such as the selection of less polluting materials and energy-efficient raw materials. Similarly, a favorable relationship between AI and green process innovation is confirmed, highlighting its role in optimizing waste reuse and reducing water and energy consumption. These results contribute to expanding the literature developed in emerging countries by empirically demonstrating how AI acts as a strategic facilitator in transforming the agricultural sector. It also provides practical guidance on how to leverage AI to drive greater innovation, increase investment in infrastructure, offer technological training to farmers, and reorganize processes to support the transition to more efficient, competitive, and sustainable agricultural systems in terms of natural resource use.

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Publication Details

Journal
Cogent Business & Management
Published
2025-10-22
DOI
https://doi.org/10.1080/23311975.2025.2575261
Primary Topic
Environmental Sustainability in Business
Type
article
Field-Weighted Citation Impact
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article

Artificial intelligence as a driver in adopting green innovation in the agricultural sector: evidence from an emerging economy

Reynier Israel Ramírez Molina, Carolina Monsalve-Castro, Eddy Johanna Fajardo Ortíz, Generis Paola Soto Polo
Cogent Business & Management
Environmental Sustainability in Business
article

Artificial intelligence as a driver in adopting green innovation in the agricultural sector: evidence from an emerging economy

Reynier Israel Ramírez Molina, Carolina Monsalve-Castro, Eddy Johanna Fajardo Ortíz, Generis Paola Soto Polo
article en

Abstract

Adopting emerging technologies to drive economic development and promote sustainability has become a priority for developing countries. This study analyzes the relationship between artificial intelligence (AI) and green innovation, using the Colombian agricultural sector as a case study. From a quantitative approach, structural equation modeling (SEM) was applied to a sample of 231 agricultural production units. The results indicate a positive and significant association between AI and green product innovation, especially in eco-design practices, such as the selection of less polluting materials and energy-efficient raw materials. Similarly, a favorable relationship between AI and green process innovation is confirmed, highlighting its role in optimizing waste reuse and reducing water and energy consumption. These results contribute to expanding the literature developed in emerging countries by empirically demonstrating how AI acts as a strategic facilitator in transforming the agricultural sector. It also provides practical guidance on how to leverage AI to drive greater innovation, increase investment in infrastructure, offer technological training to farmers, and reorganize processes to support the transition to more efficient, competitive, and sustainable agricultural systems in terms of natural resource use.

Cogent Business & ManagementVol. 12(1)
Universidad Autónoma de Bucaramanga (CO), University of the Coast (CO)
Openalex Percentile: Top 61%
Environmental Sustainability in Business
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