Mangrove attribute preferences for environmental conservation: evident from choice modeling approach

Mangrove forest provides a variety of service both ecologically and economically. But they are experiencing severe threats, with high annualized shrinkage rates in almost all countries. This situation emphasizes the decision maker to make efficient decision making on continuous sustainability of c...

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Main Authors: Ibrahim, W.N.W, Mohd, F., Alipiah, R.M., Wan Anisah, E., Suraya, I.
Format: Conference or Workshop Item
Language:English
Published: 2019
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Online Access:http://eprints.unisza.edu.my/2581/1/FH03-FPP-19-28026.pdf
http://eprints.unisza.edu.my/2581/
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spelling my-unisza-ir.25812021-02-07T01:23:02Z http://eprints.unisza.edu.my/2581/ Mangrove attribute preferences for environmental conservation: evident from choice modeling approach Ibrahim, W.N.W Mohd, F. Alipiah, R.M. Wan Anisah, E. Suraya, I. GE Environmental Sciences HD28 Management. Industrial Management Mangrove forest provides a variety of service both ecologically and economically. But they are experiencing severe threats, with high annualized shrinkage rates in almost all countries. This situation emphasizes the decision maker to make efficient decision making on continuous sustainability of conservation programs by understanding the local community preferences of the mangrove attribute. To obtain this objective, this paper applies the choice modeling (CM) experiment method, which is the one of the preferred non-market valuation technique. CM is creating strong interest among researchers because of very flexible in dealing with complex models of "trade-offs" between attributes, so that makes it possible to model the community choices on selected mangrove attribute. To perform this technique, a series of choice card were distributed to 526 respondents from three areas around Setiu Wetlands (SW), Terengganu, Malaysia using face to face survey method. The result from multinomial logit model showed that the six attribute selected for the environmental conservation was significantly influenced community preferences. The results of this study indicate that the forest mangrove area (MANREA), water quality (WATERQ) and the price of mangrove sapling tree (PRICE) have the expected sign with higher marginality value for concerted efforts for sustainable management of the mangrove forest. The finding indicates that local communities are likely to support mangrove conservation management initiatives that promote sustainable use of the mangrove resources. 2019 Conference or Workshop Item NonPeerReviewed text en http://eprints.unisza.edu.my/2581/1/FH03-FPP-19-28026.pdf Ibrahim, W.N.W and Mohd, F. and Alipiah, R.M. and Wan Anisah, E. and Suraya, I. (2019) Mangrove attribute preferences for environmental conservation: evident from choice modeling approach. In: 4th Innovation and Analytics Conference and Exhibition, IACE 2019, 25-28 Mac 2019, Kedah, Malaysia.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic GE Environmental Sciences
HD28 Management. Industrial Management
spellingShingle GE Environmental Sciences
HD28 Management. Industrial Management
Ibrahim, W.N.W
Mohd, F.
Alipiah, R.M.
Wan Anisah, E.
Suraya, I.
Mangrove attribute preferences for environmental conservation: evident from choice modeling approach
description Mangrove forest provides a variety of service both ecologically and economically. But they are experiencing severe threats, with high annualized shrinkage rates in almost all countries. This situation emphasizes the decision maker to make efficient decision making on continuous sustainability of conservation programs by understanding the local community preferences of the mangrove attribute. To obtain this objective, this paper applies the choice modeling (CM) experiment method, which is the one of the preferred non-market valuation technique. CM is creating strong interest among researchers because of very flexible in dealing with complex models of "trade-offs" between attributes, so that makes it possible to model the community choices on selected mangrove attribute. To perform this technique, a series of choice card were distributed to 526 respondents from three areas around Setiu Wetlands (SW), Terengganu, Malaysia using face to face survey method. The result from multinomial logit model showed that the six attribute selected for the environmental conservation was significantly influenced community preferences. The results of this study indicate that the forest mangrove area (MANREA), water quality (WATERQ) and the price of mangrove sapling tree (PRICE) have the expected sign with higher marginality value for concerted efforts for sustainable management of the mangrove forest. The finding indicates that local communities are likely to support mangrove conservation management initiatives that promote sustainable use of the mangrove resources.
format Conference or Workshop Item
author Ibrahim, W.N.W
Mohd, F.
Alipiah, R.M.
Wan Anisah, E.
Suraya, I.
author_facet Ibrahim, W.N.W
Mohd, F.
Alipiah, R.M.
Wan Anisah, E.
Suraya, I.
author_sort Ibrahim, W.N.W
title Mangrove attribute preferences for environmental conservation: evident from choice modeling approach
title_short Mangrove attribute preferences for environmental conservation: evident from choice modeling approach
title_full Mangrove attribute preferences for environmental conservation: evident from choice modeling approach
title_fullStr Mangrove attribute preferences for environmental conservation: evident from choice modeling approach
title_full_unstemmed Mangrove attribute preferences for environmental conservation: evident from choice modeling approach
title_sort mangrove attribute preferences for environmental conservation: evident from choice modeling approach
publishDate 2019
url http://eprints.unisza.edu.my/2581/1/FH03-FPP-19-28026.pdf
http://eprints.unisza.edu.my/2581/
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score 13.160551