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Fig 1.

Research area in Chanthaburi.

Source: Own representation using vector data from the DCW (Digital Chart of the World) and GADM (Global Administrative Areas) databases made available by DIVA-GIS [55].

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Table 1.

Choice alternative attributes, corresponding design levels and other variable definitions.

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Table 1 Expand

Table 2.

Sample characteristics based on respondents’ per-household values, 2013.

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Table 2 Expand

Table 3.

Random parameter logit and generalized mixed logit (γ fixed at 1) models fitted on Chiang Mai dataset.

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Table 3 Expand

Table 4.

Random parameter logit (RPL) and generalized mixed logit (GMXL; γ fixed at 1) models fitted on Chanthaburi dataset and GMXL fitted on pooled data.

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Table 4 Expand

Table 5.

Willingness to pay (WTP) estimates in Thai Baht (THB) for Chanthaburi, Chiang Mai and pooled datasets (costs parameter fixed at 1 with std. dev = 0).

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Table 5 Expand