Thầy tổng hợp các slide bài giảng ở đây để các bạn sinh viên tiện truy cập và tài xuống.
Chú ý, số lượng và nội dung slide bài giảng sẽ được chỉnh sửa, cập nhật liên tục trong quá trình dạy và học. Các bạn sinh viên kiểm tra thường xuyên để có tài liệu mới nhất nhé!
- Môn Kinh tế và Quản lý Môi trường Chính Quy 3 Tín Chỉ (Environmental Economics and Management): KT-QLMT CQ3TC (Updated 1/8/2016)
- Môn Kinh tế và Quản lý Môi trường Chính Quy 2 Tín Chỉ (Environmental Economics and Management): KT-QLMT CQ2TC (Updated 5/1/2016)
- Môn Lượng giá kinh tế tài nguyên và Môi trường (Environmental and Resource Valuation): LGKTTNMT (Updated 29/10/2015)
- Môn Phân tích chi phí-lợi ích (Cost-benefit Analysis): CBA
- Môn Kinh tế học biến đổi khí hậu (Economics of Climate Change): ECC, REF1, REF2
- Môn Địa lý Kinh tế (Economic Geography): DLKT
- Môn Cơ sở khoa học môi trường (Environmental Science): CSKHMT
Recently I have received many questions from students and reseach fellows on valuation methods and particularly on Choice Experiment. From searching for them, I realize that I myself don’t have proper learning materials for newbies. Thus, I will start collecting them here.
- ECON4910 in UiO. I found this particular lecture note worth reading, especially the NOAA on page 14.
- NYU Stern’s materials on CE
“Natural capital” might be a new concept for now, but it will surely be popular soon. “National Accounts” should be more familiar to you, but how to account for national capital in the System of National Accounts (SNA) is a new big deal. On the way of learning, I save basic materials and also some food for thought here.
- The natural capital platform that some colleges and I are trying to enrich.
- Values method navigator
Food for thought:
- I still think that environmental services are different to ecosystem services. It might be true to say that national capital includes ecosystem services, but you should not say the same thing with environmental services. The natural capital would never be able to include “quasi-option value” is just one reason. But I might find myself wrong down the track.
- It would be nice if we can use GIS to present the ES values and even the natural capital on a 2D map.
Conferences, meetings and seminars could produce lots of food for research and their materials are worth giving another look. So I think it is nice to save them here.
IFS- SEARCA Aug2016 on Collaborative Research: Slides, Readings, related links (CCAFS climate, CCAFS climate analog, CCAFS big facts)
EEPSEA Aug2016 on Ecosystem Accounting: Slides, Exercises, Readings, related links (Environmental Accounting in practice – AUS, Phils)
NEU external seminar 07 Dec 2016: Mr Mai Trong Nhuan’s slides on COP 22 and Vietnam
iPFES Final workshop 27 Dec 2016: all materials
Undamming rivers is a rising trend. In the US, this has become a widespread movement, called a river restoration movement. Up to date, 1,185 dams have been removed and hundreds more are on the way. There are a couple of reasons listed: some dams have been there for more than 100 years, they are too old and facing major safety problems, some others are filled up by huge amount of sediments and turn out not very useful as designed, though their lifespans could be 100 years more. The Glen Canyon dam is just one example. However, the most intriguing reason is that people are having higher awareness on the value of ecosystem. They wish to somewhat recover the natural state of the rivers’ habitat, such as the Elwha’s. A good new, there has been some nice results.
I agree with this movement. I hope it will spread wider to developing countries, so dam removals would be considered even before they are built. Because, as I mentioned elsewhere, the option value, the value of the option to maintain future use, and the quasi-option value, which arising from expected new information from avoiding irreversible losses, are often higher than we think. So let us be cautious about changing the nature.
I suppose not many of us know how to read the AR5 reports. We would probably be overwhelmed by the thickness of them. Thus, this article is useful. In there, what I like the most is this:
Likelihood terminology used in AR5. IPCC/Gallant & Lewis
P/S: in case you just want to get the key ideas of the reports, go for these IPCC Infographics by the Finish Meteorological Institute.