All Research

WAN NORHIDAYAH W. MOHAMAD · KEN WILLIS · NEIL POWE ·International Journal of Economics and Management ·2018 ·JEL: Q51; Q57

Accounting for ignored attributes, or attribute non-attendance (ANA), in discrete choice experiment (DCE) is believed to produce more reliable willingness to pay (WTP) estimates. However, there is evidence that respondents who claimed to have ignored some attributes may simply have assigned them lesser importance. To explore this issue in the context of tourism research, a new follow-up question is used to investigate whether the respondents have ignored certain attributes or just assigned the attribute as of lesser importance when responding. Three different mixed logit (MXL) models were estimated and compared. Results generally indicate that some respondents do indeed ignore certain attributes, and some of them put less emphasis on certain attributes when making decisions. Comparison of the different MXL models reveals different WTP estimates, suggesting the importance of considering an appropriate method to deal with ANA.

Nur Syuhada Che Ibrahim · Mahirah Kamaludin · Nur Fatihah Shaari ·Jurnal Ekonomi Malaysia ·2019

Water service is usually taken for granted as important amenities with required levels needed, however little is known about how much consumers are willing to pay for particular water service levels. Improved water services should be based on the understanding built upon consumers’ choice and preferences. Thus, this study aims to estimate willingness to pay (WTP) of consumers in Terengganu, Malaysia for improvement in domestic water services. A choice experiment method was conducted to assess consumer preferences for water service attributes: i.e. water quality, water disruption, water pressure and water price. Primary data were collected using face-to-face interviews of structured questionnaire from a sample of residents in eight districts in Terengganu. A conditional logit model was carried out for data regression. The results showed signifcant willingness to pay (WTP) and the contribution of the level of education, age and income in supporting the specifc attributes of water services improvements. Identifying the attributes and their prices based on consumers’ preferences would help water provider to recognize and deliver preferred water service attributes, effective water tariff policy for cost recovery and water service sustainability to consumers.