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Valuation of ecosystem services provided by irrigated rice agriculture in Thailand: a choice experiment considering attribute nonattendance
Author(s) -
Jourdain Damien,
Vivithkeyoonvong Somsak
Publication year - 2017
Publication title -
agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.29
H-Index - 82
eISSN - 1574-0862
pISSN - 0169-5150
DOI - 10.1111/agec.12364
Subject(s) - multinomial logistic regression , willingness to pay , ecosystem services , valuation (finance) , agriculture , delphi method , socioeconomic status , ranking (information retrieval) , agribusiness , mixed logit , agricultural economics , business , geography , marketing , agricultural science , economics , environmental economics , logistic regression , ecosystem , computer science , mathematics , statistics , environmental science , microeconomics , ecology , population , archaeology , biology , finance , sociology , machine learning , demography
This research investigates how the public of a middle‐income country, Thailand, values ecosystem services associated with irrigated rice agriculture using a choice experiment. The results show a significant willingness to pay for services such as drought mitigation, water quality and the environment and maintenance of rural lifestyles and rice landscapes. The iterative procedure developed to fully analyze the incidence of attribute nonattendance (ANA) improved the model fit when compared with a multinomial logit model or an ANA model with potentially only one attribute ignored at a time (ANA‐1). Moreover, the inferred probability of the class of respondents having attended all attributes was 45%, compared to 9% with ANA‐1 model. However, it also suggests that 55% of the respondents made their choices by considering only two of the five attributes. Finally, this research also suggests that failing to consider ANA does not change the public ranking of scenarios contrasted by the services they would provide but would overestimate the WTP for these scenarios.