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Economic Valuation of Non-marketed Environmental Goods
Provider: Faculty of Science

Activity no.: 5229-16-05-31 
Enrollment deadline: 18/11/2019
PlaceDepartment of Food and Resource Economics
Date and time25.11.2019, at: 09:00 - 10.12.2019, at: 16:00
Regular seats10
ECTS credits7.50
Contact personJette Bredahl Jacobsen    E-mail address: jbj@ifro.ku.dk
Enrolment Handling/Course OrganiserJette Bredahl Jacobsen    E-mail address: jbj@ifro.ku.dk
Written languageEnglish
Teaching languageDanish
Semester/BlockBlock 1 Block 3
Scheme groupNot included in the scheme group
Exam formOther
Exam detailsThe course is assessed as "pass" or "fail" on the basis of the quality of the insights gained and reflected in the independent work to formulate a theoretical basis and develop an empirical approach that is relevant in relation to the student’s own PhD project.
Grading scalePassed / Not passed
Course workload
Course workload categoryHours
Guidance20.00
Project work60.00
Preparation110.00
Colloquium20.00
Sum210.00
Content
Taking this course, the students will be taught on how to choose among various spectroscopic methods (electron (UV-VIS or fluorescence), vibrational (NIR, IR or Raman) and nuclear magnetic resonance (NMR) spectroscopy) to solve a food related problem. Furthermore, exploratory data analysis using chemometric methods will be an integrated part of the course. Overall, the course will focus on how to obtain knowledge about advantages and disadvantages of spectroscopic measurements on food, about operating spectroscopic equipment and about handling data quantitatively.

Through lectures and laboratory exercises, the course will introduce the participants to some of the most widely used instrumental analyses of food spanning a wide range of the electromagnetic spectrum. The course will emphasize practical use of spectroscopy and discuss problems, pitfalls and tricks of the trade in relation to quantitative use of spectroscopy within the food science area including for example spectroscopic calibration and optimal sample presentation to spectrometer.

Learning outcome
After completing the course the student should be able to:

KNOWLEDGE
-Reflect about advantages and disadvantages of spectroscopic measurements
-Describe various spectroscopic methods (electron spectroscopy, vibrational spectroscopy and nuclear magnetic resonance) used in the food industry and science
-Define how to present a theoretical or practical spectroscopic result
-Perform spectroscopic measurements and data analysis (qualitatively and quantitatively) on selected food related problems

SKILLS
-Suggest and apply spectroscopic monitoring equipment and sampling to solve specific food problems
-Operate selected spectroscopic equipment which is applied in food experiments
-Understand and communicate spectroscopic expert and research litterature to fellow students

COMPETENCES
-Carry out selected spectroscopic measurements on food or food related samples
-Interpret selected spectroscopic data within food related problems
-Evaluate spectroscopic data quantitatively with basic chemometrics (PCA and PLS)

Literature
Journal art. ctd:
Kahneman, D., Knetsch, J.L., 1992. Valuing Public Goods: The Purchase of Moral Satisfaction, Journal of Environmental Economics and Management 22, 57-70.
Kling, Catherine L., Daniel J. Phaneuf, and Jinhua Zhao.2012. "From Exx-on to BP: Has Some Number Become Better Than No Number?" Journal of Economic Perspectives, 26(4): 3-26.
Willig, R. 1976. Consumer’s Surplus Without Apology. American Eco-nomic Review 66: 589-597.

Course Literature for the second (specific) part of the course: The course also includes specific reading according to the emprical interest of the PhD student within - Hedonic pricing - Travel cost - Contingent Valuation - Choice Experiments .. this are made available at course start.

Remarks
Course activities consist of three elements: - Reading of the extensive reading list, see below - Meetings with and presentations for course supervisors. PhD stu-dents can ask about the theory and empirical methods and present their own reflections on the relevance of the theory and the empirical methods for their own research - Preparation of a course report focusing on relevant theory and meth-ods for own research The list of matieral is too long for the format, so we start reporting it here:' Course Literature for the first (general) part of the course: Textbooks: Freeman III, A.M. 2003. The Measurement of Environmental and Resource Values: Theory and Methods, Second Edition. Washington, DC: Re-sources for the Future Press. Hanley, N., Barbier, E.B., 2009: Pricing nature. Cost-Benefit Analysis and Environmental Policy. Edward Elgar Journal articles: Adamowicz, W. L., P. Boxall, M. Williams, and J. Louviere.1998. Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation. American Journal of Agricul-tural Economics, 80: 64-75. Carson, Richard T.2012. "Contingent Valuation: A Practical Alternative When Prices Aren't Available." Journal of Economic Perspectives, 26(4): 27-42. Carson, R.T. and T. Groves. 2007. Incentive and Information Properties of Preference Questions. Environmental and Resource Economics 37(1): 181-210. Carson, R.T., N.E. Flores and N.F. Meade. 2001. Contingent Valuation: Controversies and Evidence. Environmental and Resource Economics 19: 173-210. Hanemann, W.M. 1984. Welfare Evaluations in Contingent Valuation Ex-periments with Discrete Responses. American Journal of Agricultural Economics 66(3): 332-341. Hanley, Nick, Robert E. Wright, and W. L. Adamowicz.1998. "Using Choice Experiments to Value the Environment. Environmental and Resource Economics, 11(3-4): 413-428. Hausman, Jerry.2012. "Contingent Valuation: From Dubious to Hopeless." Journal of Economic Perspectives, 26(4): 43-56.

Course responsible:

•Jette Bredahl Jacobsen, jbj@ifro.ku.dk
•Søren Bøye Olsen, sobo@ifro.ku.dk
•Thomas Lundhede, thlu@ifro.ku.dk

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