کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5100449 | 1478865 | 2017 | 45 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using virtual environments to improve the realism of choice experiments: A case study about coastal erosion management
ترجمه فارسی عنوان
استفاده از محیط مجازی برای بهبود واقع گرایی آزمایش های انتخابی: مطالعه موردی در مورد مدیریت فرسایش ساحلی
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
محیط مجازی فیلم های، آزمایش انتخاب فرسایش ساحلی، مقیاس عامل،
موضوعات مرتبط
علوم انسانی و اجتماعی
اقتصاد، اقتصادسنجی و امور مالی
اقتصاد و اقتصادسنجی
چکیده انگلیسی
Choice experiment surveys are commonly used to assess the general public׳s willingness to pay for different levels of environmental quality. However, respondents need to understand what they are valuing or they will make potentially wrong assumptions based on different experiences and frames of reference. Three-dimensional computer generated models or Virtual Environments (VE) have so far seen little use in economics research, probably due to the complexity and cost of developing and delivering them to study participants. The few studies that have used them find that VE are superior to static image presentations in helping people evaluate complex data. For this study we developed virtual environments for a choice experiment about coastal erosion management using free, easy-to-use software and Google Earth© satellite imagery and presented these to respondents as video tours. Our results indicate that the VE treatment reduced choice error, reduced left-right bias and improved respondent engagement and retention when compared with static images. There were also differences in WTP between the two groups.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Environmental Economics and Management - Volume 81, January 2017, Pages 193-208
Journal: Journal of Environmental Economics and Management - Volume 81, January 2017, Pages 193-208
نویسندگان
Yvonne Matthews, Riccardo Scarpa, Dan Marsh,