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 25/04/2017)
- 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
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.
The Economics of Ecosystem and Biodiversity: Yale University (TEEB);
Environmental Policy and Economics: MIT opencourseware*;
Environmental and Resource Economics: The economics network*;
Economics: IOWA State University (economics380); Coursera*; La Trobe University (ECO1IMI-2012);
Economics of Environmental Policy: Maxwell school;
Global Warming: Coursera*;
Econometrics: FETP* (MPP-523; MPP04; 2014);
NOTE: *including other subjects
I told my students that the term “climate change” is more precise to describe the climate phenomenon. Thus it is preferred to “global warming” in USA (p. 12) and Australia. But this doesnt mean that “climate change” is getting less serious so that we use a “weaker” term.
If you are working on climate change, the General Circulation Models (GCMs) can be useful. There are plenty of downscaling methods for your study areas, some are reviewed here (page 52+).