Conditions for developing agro-biotechnology innovation clusters: empirical evidence from Colombia based on critical success factors

Abstract This study examines the conditions necessary for enhancing emerging agro-biotechnology clusters at the regional level in Colombia. To identify these conditions, the author developed a conceptual model of success factors based on a holistic and sustainable perspective provided by the “Systemic Competitiveness” framework of the German Development Institute. This model emphasizes that competitiveness is built upon and articulated across four economic levels: meta, macro, meso, and micro. It highlights the importance of considering specific success factors at each level. The primary data for this study were collected through an analysis of the agro-biotechnology cluster initiative in Colombia's Valle del Cauca region, with insights derived from interviews with regional industry experts. The findings are further supplemented by a literature review mapping the success factors of innovation clusters. This research offers empirical insights into the development of Colombia's emerging bioeconomy, exploring the capabilities, conditions, and practices necessary for the industry to achieve superior performance in the future. The study underscores that there is no universal blueprint, as each local context is unique. However, by identifying the presence or absence of key components and systemic competitive success factors, the study provides valuable guidance for investing time and resources effectively.

Authors

Institutions

Publication Details

Journal
Revista de Economia e Sociologia Rural
Published
2025-01-01
DOI
https://doi.org/10.1590/1806-9479.2025.283627
Citations
1
Primary Topic
Innovation and Socioeconomic Development
Type
article
Field-Weighted Citation Impact
2.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Conditions for developing agro-biotechnology innovation clusters: empirical evidence from Colombia based on critical success factors

Christian Johannes Bruszies
1 citations
Revista de Economia e Sociologia Rural
Innovation and Socioeconomic Development
2.45
article

Conditions for developing agro-biotechnology innovation clusters: empirical evidence from Colombia based on critical success factors

Christian Johannes Bruszies
article en
1 citations

Abstract

Abstract This study examines the conditions necessary for enhancing emerging agro-biotechnology clusters at the regional level in Colombia. To identify these conditions, the author developed a conceptual model of success factors based on a holistic and sustainable perspective provided by the “Systemic Competitiveness” framework of the German Development Institute. This model emphasizes that competitiveness is built upon and articulated across four economic levels: meta, macro, meso, and micro. It highlights the importance of considering specific success factors at each level. The primary data for this study were collected through an analysis of the agro-biotechnology cluster initiative in Colombia's Valle del Cauca region, with insights derived from interviews with regional industry experts. The findings are further supplemented by a literature review mapping the success factors of innovation clusters. This research offers empirical insights into the development of Colombia's emerging bioeconomy, exploring the capabilities, conditions, and practices necessary for the industry to achieve superior performance in the future. The study underscores that there is no universal blueprint, as each local context is unique. However, by identifying the presence or absence of key components and systemic competitive success factors, the study provides valuable guidance for investing time and resources effectively.

Revista de Economia e Sociologia RuralVol. 63
Universidad Nacional de Colombia (CO)
Openalex Percentile: Top 12%
Innovation and Socioeconomic Development
2.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.