A Study on Priority of Classification System for Agro-healing Using the Analytic Hierarchy Process

Autor: Eunha Yoo, Yumin Park, Sun Jin Jeong, Jae Soon Kim, Yong Ku Kang, Yeo Jin Jeong
Rok vydání: 2021
Zdroj: Journal of People, Plants, and Environment. 24:663-672
ISSN: 2508-7681
2508-7673
Popis: Background and objective As the ‘Healing Agriculture Research and Development and Promotion Act’ came into effect on March 25, 2021, social interest in agro-healing has been increasing exponentially. This study was conducted to analyze the priorities of agro-healing classification system and to provide basic data to inform policy directions and related research for the development and activation of agro-healing. Methods The survey data collected from 18 experts were analyzed using the analytic hierarchy process (AHP) method in determine the relative weights of the main and sub-criteria for the classification system. There were three main criteria identified: agro-healing input industry, agro-healing service industry, and agro-healing-related/derived industry. There were also 11 sub-criteria. Results The top three sub-criteria with the highest complex weights include “community service,” “social rehabilitation” and “treatment and rehabilitation,” all of which correspond to the main criterion “agro-healing service industry”. In addition, the complex weights of the sub-criteria corresponding to the main criterion “agro-healing related/derived industry” are as follows: “other agro-healing support service,” which ranked 4th, and “training and education institutions for agro-healing experts,” which ranked 5th when prioritizing the criteria. Conclusion The results of this study suggest that the main criterion to be considered first in establishing a classification system is “agro-healing service industry”. Therefore, it is necessary to continue research on detailed service classifications and systems with verified validity to ensure expertise in human resources, and organization related to social purpose services in agro-healing.
Databáze: OpenAIRE