Design considerations of a choice experiment to estimate likely participation by north Australian pastoralists in contractual biodiversity conservation.

Greiner, Romy; Bliemer, Michiel C.J.; Ballweg, Julie

doi:10.1016/j.jocm.2014.01.002

Cited by 90 publications

(69 citation statements)

References 63 publications

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“…Choice sets were established with a D-efficiency experimental design criteria using Ngene software (Bliemer & Rose, 2010;ChoiceMetrics 2012;Rose & Bliemer, 2009). Design priors were obtained from a best-practice sequential process (Greiner et al 2014). The resulting design included 36 choice sets divided into 12 blocks, with three questions per block and no dominant or redundant alternatives.…”

Section: Experimental Designmentioning

confidence: 99%

Evaluating willingness to pay for the temporal distribution of different air quality improvements: Is China's clean air target adequate to ensure welfare maximization?

Yao

Deng

Johnston

et al. 2018

Canadian J Agri Economics

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Stated preference analyses seeking to determine the public's value for air quality improvements often estimate willingness to pay (WTP) for days at a specified minimum quality threshold (e.g., days with clean air), but do not consider the temporal distribution of pollution levels below this threshold. This paper develops a choice experiment designed to evaluate WTP for a more complete distribution of air quality improvements, including the number of days per year at multiple air quality levels. The model is applied to a case study of air quality improvement in the core districts of Xi'an City, China. Results from a linearly constrained mixed logit model demonstrate that average household WTP for improving a lightly polluted, moderately polluted, heavily polluted, or severely polluted day to a clean air day is 7.42, 8.90, 13.06, and 24.28 RMB per year, respectively. These results show that WTP depends not only on the total number of clean air days, but on the total distribution of pollution levels across all days of the year. Results are directly relevant to the development of clean air policies in China, for which benefit estimates are currently unavailable.

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Section: Experimental Designmentioning

confidence: 99%

Evaluating willingness to pay for the temporal distribution of different air quality improvements: Is China's clean air target adequate to ensure welfare maximization?

Yao

Deng

Johnston

et al. 2018

Canadian J Agri Economics

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“…A good design is able to explain more of the observed variance and minimises the stochastic element. A detailed deliberation of all choice design considerations and decisions relating to the discrete choice experiment for this study is given in Greiner et al (2014). Table 1 offers a summary of key choice design elements.…”

Section: Choice Experimental Design and Analysismentioning

confidence: 99%

Motivations and attitudes influence farmers' willingness to participate in biodiversity conservation contracts

Greiner

2015

Agricultural Systems

Self Cite

132

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“…How to determine the structure of the choice sets and allocate the attributes' levels to different choice sets is the key to the experimental design [32][33][34]. The choice sets generated by the experimental design will largely affect the results of experimental votes, as well as the corresponding benefits for estimation [33].…”

Section: Experimental Designmentioning

confidence: 99%

“…The choice sets generated by the experimental design will largely affect the results of experimental votes, as well as the corresponding benefits for estimation [33]. A "good" experimental design should be able to explain most of the observed variance between the attributes and produce the smallest possible random error [34].…”

Section: Experimental Designmentioning

confidence: 99%

“…However, a growing number of researchers are beginning to question the assumption of the orthogonal design, in which all between-attribute correlations are zero [36][37][38][39]. The appearance of optimal design, also called efficient design, has accelerated the development of factorial experimental design by the use of new algorithms to meet the criteria of a good design [34,36]. In particular, the optimal design can account for prior information of the parameters to be estimated, which significantly reduces the asymptotic standard errors of the estimated parameters, and as a result can produce designs that are more efficient than orthogonal design [38,39].…”

Section: Experimental Designmentioning

confidence: 99%

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Public Preferences for the Design of a Farmland Retirement Project: Using Choice Experiments in Urban and Rural Areas of Wuwei, China

et al. 2018

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This paper presents an application of a choice experiment measuring public preferences for a farmland retirement project (FRP) in the Gansu environmental degraded region of China. The project helps improve China's long-term food security, and information on public preferences can be used to cost-effectively design such policies. FRP is conceptualized with four attributes relating to public preferences: Areas enrolled in the program, duration of the contract, priority zone for conservation, and vegetation type for planting. The analysis employs a mixed logit model, allowing for preference heterogeneity, and explores the differences between the willingness to pay of urban and rural residents. Results identify substantial benefits for FRP, and these benefits are closely linked to the program design. Results also show that the willingness to pay for a longer period of the program of urban residents is significantly higher than that of rural residents. Finally, this study proposes policy recommendations that the number of areas and years of the current FRP in the study area can be increased moderately, but not excessively, to further benefit local residents.

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Design considerations of a choice experiment to estimate likely participation by north Australian pastoralists in contractual biodiversity conservation.

Cited by 90 publications

References 63 publications

Evaluating willingness to pay for the temporal distribution of different air quality improvements: Is China's clean air target adequate to ensure welfare maximization?

Evaluating willingness to pay for the temporal distribution of different air quality improvements: Is China's clean air target adequate to ensure welfare maximization?

Motivations and attitudes influence farmers' willingness to participate in biodiversity conservation contracts

Public Preferences for the Design of a Farmland Retirement Project: Using Choice Experiments in Urban and Rural Areas of Wuwei, China

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