| Project/Area Number |
17H07180
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|---|
| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
|---|
| Research Field |
Economic policy
|
|---|
| Research Institution | Waseda University |
|---|
Principal Investigator |
Quek Olivia 早稲田大学, 国際学術院(アジア太平洋研究センター), 助教 (60803517)
|
|---|
| Project Period (FY) |
2017-08-25 – 2019-03-31
|
| Project Status |
Discontinued (Fiscal Year 2018)
|
| Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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|---|
| Keywords | Spatial economics / Food security / Spatial integration / Food market integration / Transport theory / Trade costs / Arbitrage / Spatial economics / Trade |
|---|
| Outline of Annual Research Achievements |
The purpose of this research is to develop an unconventional model to understand and explain the trade flows of homogenous and perishable food products across geographically distinct markets. When working with rice price data from developing countries, I used web mining methods to obtain as many sources of data as possible, and performed data cleaning and visualization of the data. I then employed unsupervised machine learning techniques such as Prrincipal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE), to better understand the co-movements of food prices across groups of trading partners. These data-compressing techniques allowed me to identify groups of trading markets whose food prices co-move to a high degree.
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| Research Progress Status |
平成30年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
平成30年度が最終年度であるため、記入しない。
|
