應用GIALG法探討基於SDGs之鄉村旅遊永續發展模式

Applying the GIALG Method to Explore the Sustainable Development Model of Rural Tourism Based on SDGs

10.6213/JLRIM.202403_17(1).0004

范振德(Woody Jann-Der Fann)

紮根理論 ； 詮釋結構模式 ； 層級分析法 ； 局部灰關聯分析法 ； 灰結構模式 ； GT ； ISM ； AHP ； LGRA ； GSM

休閒產業管理學刊

17卷1期（2024 / 03 / 01）

61 - 86

繁體中文;英文

本研究目的在於庚續基於2030永續發展目標（SDGs）得到之鄉村旅遊永續發展策略（SDS）紮根研究結論，進一步探討其永續發展模式（SDM）。本研究將紮根理論（GT）分析得到之質性研究結論，進階以量化分析之詮釋結構模式（ISM）、層級分析法（AHP）、局部灰關聯分析法（LGRA）及灰結構模式（GSM）等GIALG多元資料分析方法探討鄉村旅遊之SDM。研究之進行，首先應用GT得到之SDS，經諮詢專家11位委員協助ISM之相鄰矩陣及AHP之權重分析，務求其信度CI值需小於0.1；其次再以LGRA及GSM分析，得到其SDM。鄉村旅遊SDM結果顯示，在全世界自然資源有限及保育人文資源之共識下，發展鄉村旅遊除了應厲行節能減碳，同時需要基於性別平等及尊重人權之原則，多多採用年長者之智慧與經驗，結合現代科技永續經營。SDM之節能體驗、性平關懷、開發輔導、科技應用等四構面具有因果相關性；碳權賦值及環境復育階層最高且兩者具相關性，然卻與節能體驗等四構面不具相互影響之關係，本研究結果可以提供公私部門執行SDGs參考。

The purpose of this study is to conduct grounded research on the Sustainable Development Strategies (SDS) for rural tourism derived from the 2030 Sustainable Development Goals (SDGs), and further explore its Sustainable Development Model (SDM). The qualitative research conclusions derived from Grounded Theory (GT) analysis are then advanced to explore the SDM of rural tourism using various multi-dimensional data analysis methods such as Interpretive Structural Modeling (ISM), Analytic Hierarchy Process (AHP), Local Grey Relational Analysis (LGRA), and Grey Structural Modeling (GSM). The study begins by applying GT to obtain SDS, followed by consultation with 11 expert committee members to assist in ISM's adjacent matrix and AHP's weight analysis, aiming for reliability where the CI value should be less than 0.1. Subsequently, LGRA and GSM analyses are conducted to derive the SDM. The results of the rural tourism SDM indicate that in consensus with the limited natural resources and conservation of cultural resources worldwide, the development of rural tourism requires not only strict energy conservation and carbon reduction but also the utilization of the wisdom and experience of the elderly based on principles of gender equality and respect for human rights, combined with sustainable management through modern technology. The SDM's 4 dimensions, namely energy-saving experience, gender equality care, development guidance, and technological application, exhibit causal relationships. Carbon rights valuation and environmental restoration have the highest hierarchy and are correlated, but they do not affect each other, unlike the 4 dimensions mentioned above. The results of this study are expected to provide references for the implementation of SDGs by both public and private sectors.