Tokyo Workshop on International and Development Economics (TWID) 2024
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※ 特に表記のない限りセミナー発表は英語で行われます（Unless otherwise mentioned, presentations are in ENGLISH）。
Zoomを利用したハイブリッド開催について （Online Seminars In Person and Using Zoom)
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当面の間、本ワークショップはハイブリッド形式（対面とオンライン）で開催されます。 以下の注意事項を必ずご確認のうえご準備をお願いいたします。 Zoom URL、ID、パスコードはセミナーにより異なります。セミナー毎にご登録ください。TWID is held online and in-person for the time being. Please read the following instruction for participation. Zoom URL, ID and Passcode are diferent depending on the seminar. Please meke sure to register for each seminar.
※ 登録 (Registration) 事前登録が必須となります。 下記よりご登録頂けますと、 ミーティングURLがemailで送付されます。 事前に、ご利用の端末にZoomアプリケーションのインストールをお済ませください。 （Zoomアカウントをお持ちの方は、emailにあるID, パスワードを使ってサインインして頂くことも可能です。） Registration is required to join a seminar. Please register in advance at the following website so that detailed information containing meeting URL will be provided via email. Please make sure to install ZOOM Cloud Meetings (application)on your computer or cell phone in advance. (If you have a Zoom account, sign-up using ID and password included in the email is also available.) 参加までの手順は下記より事前にご確認ください。 For more details, please see the following website.
※ 注意 (Note) 1) 参加者名には、ご自分の氏名をお使い下さい。 Please register your full name when you participate. 2) ご自身の音声は、質疑応答時を除き、OFFにしてください。 Please mute your microphone during a speaker's talk except for Q&A session. 音声OFFの手順 (Muting Participants in Zoom)
Coordinators Yasuyuki Sawada (Faculty of Economics, Graduate School of Economics) Aya Suzuki (Department of International Studies, Graduate School of Frontier Sciences) Yoshito Takasaki (Graduate School of Economics and Graduate School of Public Policy) Kenichi Ueda (Graduate School of Economics and Graduate School of Public Policy)
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| 日時 | July 24（Wednesday） 17:00-18:30
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| 場所 | 本ワークショップは、Zoomを利用してのオンライン開催となります。オンラインでは（事前登録制）となります。詳細はMacroeconomics Workshopウェブサイトの説明をご確認ください。
Registration for Online Participation 以下の、当ワークショップ（TWID）用Zoom URLよりご登録ください。 TWID Zoom Registration URL: Meeting ID: 841 4337 4521 Pass Code ： 081897
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| 報告 | Konstantin Kucheryavyy (City University of New York and The University of Tokyo) |
| Abstract | |
| Host | Kenichi Ueda and Taiji Furusawa |
以下本年度終了分
| 日時 | April 24, 2024（水 Wednesay）10:30-12:00 |
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| 場所 | 本ワークショップは、対面とZoomを利用してのオンラインでの、ハイブリッド開催となります。オンラインでは(事前登録制）となります。詳細は本ウェブサイト上部の説明をご確認ください。
at the Conference Room No.2 on the 12th floor of the Economics Research Building |
| Registration | 以下の、当ワークショップ（TWID）用Zoom URLよりご登録ください。
TWID Zoom Registration URL: |
| 報告 |
Konstantin Kucheryavyy (City University of New York and CIRJE, the University of Tokyo) China’s Foreign Aid: Political Determinants and Economic Effects |
There has been much speculation -- but little causal evidence -- on the motives behind the large sums of foreign aid some countries provide to other countries. I address this question in the context of China, one of the largest but also most poorly understood donors. Using unique micro data, I document that the Chinese state's paramount goal of domestic political stability is an important driver of its aid allocation. In response to labor unrest in China, infrastructure aid contracts are allocated to state-owned firms in the affected areas, resulting in increased employment and subsequent stability. In addition, I show that domestic unrest also affects the allocation of Chinese aid to recipient countries through connections with these firms. Finally, I exploit this granular variation to develop a novel instrument for identifying the causal effects of Chinese aid on recipients. I find positive short-term effects on GDP but no effects on long-term economic growth, household consumption or employment. |
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| Co-Host |
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| Organizer | Yasuyuki Sawada |
| 日時 | April 24, 2024（水 Wednesay）10:30-12:00 |
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| 場所 | 本ワークショップは、対面とZoomを利用してのオンラインでの、ハイブリッド開催となります。オンラインでは(事前登録制）となります。詳細は本ウェブサイト上部の説明をご確認ください。
at the Conference Room No.2 on the 12th floor of the Economics Research Building |
| Registration | 以下の、当ワークショップ（TWID）用Zoom URLよりご登録ください。
TWID Zoom Registration URL: |
| 報告 |
Joris Mueller (National University of Singapore) China’s Foreign Aid: Political Determinants and Economic Effects |
There has been much speculation -- but little causal evidence -- on the motives behind the large sums of foreign aid some countries provide to other countries. I address this question in the context of China, one of the largest but also most poorly understood donors. Using unique micro data, I document that the Chinese state's paramount goal of domestic political stability is an important driver of its aid allocation. In response to labor unrest in China, infrastructure aid contracts are allocated to state-owned firms in the affected areas, resulting in increased employment and subsequent stability. In addition, I show that domestic unrest also affects the allocation of Chinese aid to recipient countries through connections with these firms. Finally, I exploit this granular variation to develop a novel instrument for identifying the causal effects of Chinese aid on recipients. I find positive short-term effects on GDP but no effects on long-term economic growth, household consumption or employment. |
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| Co-Host |
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| Organizer | Yasuyuki Sawada |
| 日時 | June 10, 2024（月 Monday）11:00-12:00 * Please note that the starting time is 11:00. |
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| 場所 | 本ワークショップは、対面とZoomを利用してのハイブリッド開催となります。オンラインでは(事前登録制）となります。詳細は本ウェブサイト上部の説明をご確認ください。
at the Seminar Room 2 on the 1st floor of the Economics Research Annex (Kojima Hall) |
| Registration | 以下の、当ワークショップ（TWID）用Zoom URLよりご登録ください。
TWID Zoom Registration URL: |
| 報告 |
Tamon Asonuma (International Monetary Fund) Fiscal Austerity and Sovereign Debt Restructurings |
| Abstract | Sovereigns implement fiscal austerity, i.e., expenditure consolidation around debt crises. We compile data on fiscal expenditure consolidation around debt restructurings with private external creditors in 1975–2020. We find that expenditure consolidation precedes preemptive restructurings or prevents restructurings—“pre-crisis”—, while occurs upon defaults/post-default restructurings—“post-crisis”. We build sovereign debt model with endogenous choice of preemptive and post-default renegotiations and public capital accumulation. The model quantitatively shows when both public capital and debt are high, the sovereign implements pre-crisis fiscal expenditure consolidation which, in turn, results in preemptive restructurings or non-restructuring (preventing restructurings). Data support theoretical predictions. |
| Co-Host |
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| Organizer | Kenichi Ueda |
| Date and Time | June 20（Thursday） 10:25-12:10 |
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| Speaker | Johannes Boehm ( Sciences Po)
The Network Origins of Firm Dynamics: Contracting Frictions and Dynamism with Long-Term Relationships (joint with Ezra Oberfield, Ruairidh South, Mazhar Waseem) |
| Co-Host | 本ワークショップは、対面とZoomを利用してのハイブリッド開催となります。オンラインでは（事前登録制）となります。詳細は本ウェブサイトの説明をご確認ください。 Venue is in the Economics Research Building・会場は経済学研究科学術交流棟（小島ホール）です。 at the Seminar Room 1 on the 1st floor of the Economics Research Building 以下の、マクロ経済学ワークショップ用Zoom URLよりご登録ください。 |
| 日時 | June 20（Thursday） 14:55-16:40 *Irregular Seminar
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| 場所 | 本ワークショップは、対面とZoomを利用してのハイブリッド開催となります。オンラインでは（事前登録制）となります。詳細は本ウェブサイトの説明をご確認ください。 Venue is in the Economics Research Building・会場は経済学研究科棟です。 at the Conference Room No.1 on the 12th floor of the Economics Research Building 以下の、当ワークショップ（TWID）用Zoom URLよりご登録ください。 TWID Zoom Registration URL: |
| 報告 |
Eugenie Dugoua (London School of Economics) Directed technological change and general purpose technologies: can AI accelerate clean energy innovation? |
| Abstract | The race between clean and dirty technologies is taking place against the backdrop of improvements in general-purpose technologies such as information and communication technologies (ICT) and artificial intelligence (AI). In this paper, the authors show how, in theory, a general-purpose technology can affect the direction of technological change and, in particular, the competition between clean and dirty technologies. Using patent data from the electricity and transport sectors, they show that clean technologies use and benefit more from AI and ICT knowledge than dirty technologies do and that energy patenting firms with higher AI knowledge stocks are more likely to absorb new AI knowledge for their energy inventions. The authors conclude that ICT and AI have the potential to accelerate clean energy innovation, which is critical for reducing carbon emissions. |
| Host | Taiji Furusawa |
| Organizer |
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