Open AccessFormulating Sustainable Watershed Governance Model: A Meta-analysis of Watershed Governance
Author(s) -
Tri Sulistyaningsih,
Achmad Nurmandi,
Muhammad Kamil,
Ali Roziqin,
Salahudin Salahudin,
Jainuri,
Iradhad Taqwa Sihidi,
Ach. Apriyanto Romadhan,
Mohammad Jafar Loilatu
Publication year - 2021
Publication title -
academic journal of interdisciplinary studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.148
H-Index - 5
eISSN - 2281-3993
pISSN - 2281-4612
DOI - 10.36941/ajis-2021-0041
Subject(s) - scopus , watershed , corporate governance , watershed management , politics , sustainable development , environmental governance , political science , knowledge management , environmental resource management , sociology , business , computer science , economics , medline , law , finance , machine learning
Currently watershed governance still involves many stakeholders from different territories, ranging from local to cross-country, and also, different social, political, cultural, and economic factors. Therefore, this study aims to categorize the themes or concepts related to watershed management studies. Through descriptive analysis and the help of the Nvivo-12 software, 383 Scopus indexed paper articles, which were published by major publishers such as Emerald, MDPI, Sage, ScienceDirect, Springer, Taylor and Francis, were obtained. The results indicate that there are 155 concepts in the watershed governance study, and they can be categorized into 6 groups. Furthermore, they are also related to dominant themes such as water resources, governance, watershed, environment, local issue, and policy. The significance of this study is the discovery of the concept of watershed governance studies; therefore, it can assist in the development of conceptual frameworks in future studies. Meanwhile, the limitation of this study is that the articles it reviewed were obtained from only the Scopus database, therefore, it does not have comparable data. Consequently, future studies need to use a comparative analysis approach which involves both the Scopus and the Web of Sciences (WoS) databases.