Examining ordering effects in discrete choice experiments: A case study in Vietnam

Nguyen, Thanh Cong; Robinson, Jackie; Kaneko, Shinji

doi:10.1016/j.eap.2015.01.003

Cited by 9 publications

(1 citation statement)

References 40 publications

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“…The common methods of information processing are stated AN-A and inferred AN-A. The inferred AN-A method performs better (Bir et al, 2018;Gao et al, 2018;Hess and Hensher, 2010;Nguyen et al, 2015;Ortega and Ward, 2016), so we follow Hess and Hensher (2010) in adopting the inferred AN-A method. We set an optimal threshold value based on the estimated value of the model parameters.…”

Section: Inferred Attribute Non-attendance Methodsmentioning

confidence: 99%

Support policy preferences of grain family farms: evidence from Huang-huai-hai plain of China

Niu

Yin

et al. 2020

IFAM

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This study uses the choice experiment method with 570 grain family farms located in the Huang-huai-hai Plain and determine various support policy attributes and the attribute levels for the two dimensions of policy measures and policy communication channels. Ordering effects are eliminated by warming up subjects in advance and using information disclosure. This paper uses the inferred attribute non-attendance method to process attributes ignored by the grain family farms and analyzes grain family farms’ preferences for different support policies with a mixed logit model and then uses a latent class model to analyze how the characteristics of grain family farms relate to different preference types. We find that grain family farms have a strong preference for agricultural subsidies, credit support, and technical support (the mean coefficient is greater than 0.8). Moreover, the preferences of grain family farms over the policy communication channel (the mean coefficient is greater than 0.5) cannot be ignored. Faced with the same policy attribute combination, grain family farms with high education levels, reasonable scales of operation, and good understanding of support policies are more likely to improve their profit margins. There are four preference types of grain family farms: finance preference (43.2%), knowledge and technology preference (28.5%), land transfer preference (15.4%), and policy information preference (12.9%).

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Section: Inferred Attribute Non-attendance Methodsmentioning

confidence: 99%

Support policy preferences of grain family farms: evidence from Huang-huai-hai plain of China

Niu

Yin

et al. 2020

IFAM

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Influence of payment modes on farmers’ contribution to climate change adaptation: understanding differences using a choice experiment in Nepal

et al. 2018

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Adaptation has become a key priority in dealing with the climate change issues. However, successful implementation of climate change adaptation entails substantial financial investment. This study examines differences in Nepalese farming households' willingness to contribute to the implementation of adaptation programs across monetary and non-monetary modes of payments. To this end, we undertake discrete choice experiments with monetary payment and labor contribution as the payment vehicles. We find that farmers are interested in participating in and financially supporting the implementation of climate change adaptation initiatives that increase the availability of climate adaptive crop varieties, improve soil quality, expand irrigation and build farmers' capacity in terms of climate adaptive farming. Factors influencing farmers' participation in adaptation programs include age, income, access to extension services, size of land holdings, number of farm parcels, climate change perception and climate change experience. Furthermore, the findings reveal significant heterogeneity in the farmers' preferences across three agro-ecological regions in Nepal. Our findings also strengthen the methodological validity of the results of the choice experiment, which indicated that farmers are willing to pay significantly more when asked to make a payment in terms of a labor contribution compared to a monetary payment for the implementation of adaptation programs. Overall, the findings of this study justify the relevance of implementing agricultural adaptation programs in rural areas of Nepal.

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Attribute non-attendance in discrete choice experiments: A case study in a developing country

Nguyen

Robinson

Whitty

et al. 2015

Economic Analysis and Policy

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A bstractIn a discrete choice experiment (DCE), some respondents might not attend to all presented attributes when evaluating and choosing their preferred options. Utilizing data from a DCE survey in Vietnam, this paper contributes to the literature on attribute non-attendance (ANA) with an investigation of the ANA in the developing country context. Based on a review of relevant published ANA studies, we find that the extent of ANA reported by respondents in our Vietnam case study could be potentially more serious than in the developed country studies. Our econometric analysis based on a mixed logit model shows that respondents who ignored the attributes have different preferences from respondents who attended to the attributes. An examination of ANA determinants using a multivariate probit model was undertaken to gain a better understanding of reasons for the differences in the preferences of two groups of respondents. Our results confirm that the stated ANA could be an example of a simplifying strategy of respondents, and that respondents ignored attributes which were not relevant to their situation.

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Examining ordering effects in discrete choice experiments: A case study in Vietnam

Cited by 9 publications

References 40 publications

Support policy preferences of grain family farms: evidence from Huang-huai-hai plain of China

Support policy preferences of grain family farms: evidence from Huang-huai-hai plain of China

Influence of payment modes on farmers’ contribution to climate change adaptation: understanding differences using a choice experiment in Nepal

Attribute non-attendance in discrete choice experiments: A case study in a developing country

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