Text mining analysis of institutional fit of Lake Basin water governance
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- 作者：Peter Emmanuel Cookeya ; b ; c ; peter@earthwatchnigeria.org" class="auth_mail" title="E-mail the corresponding author ; cookeypeter@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Rotchanatch Darnsawasdib ; rotchanatch.d@psu.ac.th" class="auth_mail" title="E-mail the corresponding author ; Chatchai Ratanachaic ; chatchai.ratanachai@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Institutions ; Text mining ; Overlap ; Gaps ; Institutional fit ; Songkhla Lake (Thailand) ; Density and frequencies
- 刊名：Ecological Indicators
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：72
- 期：Complete
- 页码：640-658
- 全文大小：4268 K
文摘
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Text mining are capable to quantitatively determine institutional fit of lake basin water governance.
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The quality of legal resource governance documents can reflect the state of resource management.
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Water overlaps throughout the institutions and centralized agencies mandates are fragmented.
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The institutions for lake basin watergovernance system and management are not fit- for purpose.