2020
DOI: 10.1016/j.landusepol.2020.104965
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Integrating Aspects of Ecosystem Dimensions into Sorghum and Wheat Production Areas in Kinmen, Taiwan

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Cited by 12 publications
(5 citation statements)
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“…The results are also consistent with the two binary choice model (Table 4). The GOF of our empirical model also meets the criterion of the LLR and AIC [88], which shows that the local people's participation behavior models of SFM had solid results with model specifications under the binary choice model and the normality of probit model, with adequate sample size [78][79][80]87,88].…”
Section: Local People's Participation Behavior Models Of Sfmmentioning
confidence: 52%
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“…The results are also consistent with the two binary choice model (Table 4). The GOF of our empirical model also meets the criterion of the LLR and AIC [88], which shows that the local people's participation behavior models of SFM had solid results with model specifications under the binary choice model and the normality of probit model, with adequate sample size [78][79][80]87,88].…”
Section: Local People's Participation Behavior Models Of Sfmmentioning
confidence: 52%
“…We performed the comparisons between logit and probit regression analysis, applying binary choice theory [87,88]. Finally, the model's goodness of fit (GOF) was evaluated by the Akaike information criterion (AIC) and log-likelihood ratio (LLR) [78][79][80]87,88].…”
Section: Methodsmentioning
confidence: 99%
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“…The models were built using NLOGIT 5. The RPL model evaluated each attribute in relation to heterogeneous preferences and welfare (Sriarkarin and Lee, 2018;Lin et al, 2020). Coefficients from RPL were used to calculate MWTP from potential scenarios of attributes and levels (Lee et al, 2019b;Lin et al, 2020;Wang et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…The RPL model evaluated each attribute in relation to heterogeneous preferences and welfare (Sriarkarin and Lee, 2018;Lin et al, 2020). Coefficients from RPL were used to calculate MWTP from potential scenarios of attributes and levels (Lee et al, 2019b;Lin et al, 2020;Wang et al, 2020). LCM can subdivide respondents into different classes based on preferences and socio-economic perspectives to determine explicit management policies (Juutinen et al, 2011;Lee et al, 2019b;Lin et al, 2020).…”
Section: Discussionmentioning
confidence: 99%