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Welcome to my homepage!
I work as lecturer in economics at the National Economics University of Vietnam (NEU) and lecturer (non-tenure) at RMIT Vietnam, campus Hanoi.
I completed my PhD in Economics at CORE/LIDAM – Université Catholique de Louvain (Belgium) in July 2021 under the supervision of Prof. Paul Belleflamme and the late Prof. Thierry Bréchet in the framework of the IECOMAT project funded by BELSPO.
My research interest is Industrial Organization (IO) with a focus on business strategies, digital economy, and environmental issues. For my PhD thesis, I study the potential of business models such as recycling, P2P sharing, and pay-per-use as business models for the circular economy. Click here for a summary of my thesis.
I consider myself an applied theorist with a particular interest in using the IO toolbox to solve practical problems. However, I am also interested in empirical studies of related topics and I am fond of using Python to visualize and analyze data.
I'm passionate about economics teaching and constantly look for ways to transfer knowledge to students. You can check the list of my teaching here. For Vietnamese students, I'm building a series for fundamental economics knowledge, either produced by myself or translated from reputable sources.
A PDF version of my CV can be found here.
My LinkeIn: https://www.linkedin.com/in/hathuchuan/
My Google Scholar: https://scholar.google.com/citations?user=8xiwv4YAAAAJ&hl=en
Email : huan.ha[at]outlook.com
Improving Recycling: How Far Should We Go? (open access)
I'm thrilled that my paper coauthored with Paul Belleflamme is now online at the Environmental and Resources Economics. The paper uses a game-theoretical approach to discuss the strategic interaction between primary producers and recyclers, exploiting the feature that scraps collected from outputs of the formers are inputs of the latter to discuss whether a higher recycling rate is always better.
Các kiến thức kinh tế học cơ bản
Chuỗi bài viết/dịch nhằm tạo điều kiện cho người học kinh tế dễ dàng tra cứu và tìm hiểu về các kiến thức kinh tế học cơ bản
PhD Thesis Defense: Essays in Industrial Organization and Business Models for the Circular Economy
On July 5th, I defended my PhD thesis. I am very grateful to my two supervisors Paul Belleflamme and Thierry Bréchet, as well as Johannes Johnen, Johan Eyckmans and Bernard Sinclair-Desgagné for accepting to be members of my jury.
Integrated Economic Modelling Of Material Flows
During my PhD, I was lucky to be a member of the Integrated Economic Modelling Of Material Flows (IECOMAT) project, funded by Belspo, Belgium. My contribution to this project was also used as material for my PhD thesis.
In the project, we tackled the circular economy from various perspectives: We obtained the Input-output models to visualize linkages between sectors in an economy, then developed a general equilibrium model to study the material flow in Belgium. Then, we adopted an integrated partial equilibrium modeling framework to encompass the interconnected life cycle stages. Finally, we apply the Industrial Organization toolbox theory to study the so-called circular economy business models, namely recycling, the sharing economy and the servitization of products.
Sharing economy and tourism: who wins and who loses?
You've probably heard about Uber, Airbnb and you may wonder what are the impacts on the tourism industry and the society of these peer-to-peer sharing platforms. Here is an extended translation of an article Paul Belleflamme and I published in the journal 'En Question' (see the original version in French here) on the topic.
Using Python package plotly.express , we can create dynamic bar charts that can help us visualize (and hopefully understand better) the evolution of the number of people infected by COVID-19 in Belgium.
Interactive map with Python to visualize the spread of COVID-19
Using Python package plotly.express, we can plot dynamic-interactive maps to visualize the spread of COVID-19 over time with different options for the form of the map and the representation of data.
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