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2024/10/29 (火)
08:55〜16:50
Julian Wright (National University of Singapore)他
新丸ビル 9F(東京都千代田区) / Shin-Marunouchi Building, 9th Floor (Chiyoda-ku, Tokyo)

<Workshop on Search and Platform ご案内>

日時:2024年10月29日(火)8:55-16:50
会場:CIGS会議室もしくは新丸ビルコンファレンススクエア Room 901
(東京都千代田区丸の内1-5-1 新丸ビル 9F)
https://www.marunouchi.com/page/access/access_shinmaru/

参加費:無料
言語:英語 ≪同時通訳はありません≫

オーガナイザー:渡辺誠(京都大学経済研究所、CIGS 上席研究員)

プログラムのURL:こちらをご参照ください。

 

<登録方法>
参加希望の方は、以下の申込フォームからご登録ください。(締切:10月17日)
https://forms.gle/NGCjz68StjaQUAe87

登録が完了すると、自動返信メールが届きます。
メールが届かない場合は、迷惑メールフォルダをご確認ください。
登録後に内容を変更したい場合は、詳細な情報をメールでお知らせください。

*資料の配布はございませんので、必要な場合はご自身の端末をご持参いただき、
 上記プログラムのURLよりPaper/Slidesにアクセスしてください。
 Slideは随時更新をしていきます。

 

南幸子
一般財団法人キヤノングローバル戦略研究所
〒100-6511 東京都千代田区丸の内1-5-1
         新丸の内ビルディング11F
TEL:03-6213-0550 FAX:03-3217-1251
minami.sachiko@canon-igs.org

——————————————————————————-

 

<The Workshop on Search and Platform>
Date:2024, October 29th(Tuesday)8:55-16:50
Location: CIGS meeting room or Shin-Marunouchi Building Room 901, SHIN-MARU CONFERENCE SQUARE, 9th Floor
(1-5-1 Marunouchi, Chiyoda-ku, Tokyo)
https://www.marunouchi.com/en/building/shinmaru/information-access/

Participation Fee:Free
Capacity: 35 participants *The registration will be closed if we receive too many applications.
Organizer: Makoto Watanabe (CIGS senior researcher)

Link:https://drive.google.com/file/d/1iqb9wUNZ6JFcIOyg8zd-anuWSbv_NxkL/view

 

<How to register>
If you wish to participate in this conference, please register through the following application form. (Application Deadline: October 17)
https://forms.gle/NGCjz68StjaQUAe87

After your registration is complete, you will receive an auto-reply from the form.
If you do not receive the email, please check your spam mail folder.
If you want to change some items after your registration, please email us with the detailed information.

 

[CIGS Secretariat] (Reception hours: 9:00-17:30 on weekdays)
TEL: +81-3-6213-0550 (Representative)
Mail: minami.sachiko@canon-igs.org

2024/10/25 (金)
16:30〜18:00
Sébastien LECHEVALIER (Professor at Ecole des Hautes Etudes en Sciences Sociales | EHESS, Paris)
Room 105 on 1F, Kyoto Institute of Economic Research, Main Bldg., Yoshida Campas, Kyoto University (京都大学経済研究所 本館1F 105 第二共同研究室)

Title: Towards Care-led innovation? The case of eldercare in France and Japan.

2024/10/24 (木)
17:00〜18:30
Cooperation with strangers: Lab-in-the-field evidence from small-scale fishers in Thailand (with Ken Miura and Witsanu Attavanich)
Yohei Mitani (Kyoto University)
本館1階会議室
2024/10/15 (火)
11:30〜13:00
[応用ミクロ経済学セミナーと共催]
The Entrepreneurial Gender Gap: Role of Motherhood and Maternity Leave
Ashley Wong (Tilburg University)
本館1階会議室
2024/10/11 (金)
16:30〜18:00
New trade models, same old emissions? (with Robin Sogalla and Joschka Wanner)
渡部雄太(JETROアジア経済研究所)
京都大学経済研究所本館1階 106 会議室

【論文】10/09更新)

要旨:This paper investigates the elusive role of productivity heterogeneity in new trade models in the trade and environment nexus. We contrast the Eaton-Kortum and the Melitz models with firm heterogeneity to the Armington and Krugman models without heterogeneity. We show that if firms have a constant emission share in terms of sales — as they do in a wide range of trade and environment models — the three models’ emission predictions exactly coincide. Conversely, if firms have a constant emission intensity per quantity — a prominent alternative in the literature — the emission equivalence between the three models breaks. We provide a generalization that nests both constant emission shares in sales and constant quantity emission intensities as special cases. We calibrate the models to global production and trade data and use German firm-level data to estimate the key elasticity of how emission intensity changes with productivity. Our multi-industry quantification demonstrates that the role of firm heterogeneity depends both on the model and the estimated parameters. Moving from the Armington model to the EK model increases the emissions effect on trade, while moving from the Krugman model to the Melitz model decreases the emission effects on trade.

2024/10/10 (木)
17:00〜18:00
学会報告練習会
松下 旦 (京都大学)
千葉 早織 (京都産業大学)
本館1階会議室

座長練習者:関口 格(京都大学)

1700-1730 “Herding in Equity-Based Crowd Funding” 松下 旦 (京都大学)

1730-1800 “Facilitating trust and trustworthiness: The impact of mediation” 千葉 早織 (京都産業大学)

2024/10/04 (金)
11:00〜12:00
Aspen Gorry (John E. Walker Department of Economics, Clemson University)
Room 409 on 4F, Kyoto Institute of Economic Research, Main Bldg., Yoshida Campus, Kyoto University (京都大学 経済研究所 本館409 第一共同研究室)

Title: Structural Change in Production Networks and Economic Growth

2024/10/04 (金)
11:00〜12:00
Aspen Gorry(Clemson University)
経済研究所本館 4階 第一共同研究室

Abstract:We study structural change in production networks for intermediate inputs (input-output network) and new capital (investment network). For each network, we document that the share of output produced by goods sectors has declined since the 1950s, offset by a rising fraction of production by services sectors. We develop a multi-sector growth model to study these trends and show that our framework admits an aggregate balanced growth path with such structural change. Calibrating the model using disaggregated expenditure-side price data for the United States, we find that inputs to intermediates production are complements. However, in contrast to existing literature, we find that inputs to investment production are substitutes. Hence, structural change in production networks implies that resources endogenously reallocate to the slowest growing intermediates producers and the fastest growing investment producers. As a result, we show that investment-specific technical change accounts for an increasing share of U.S. aggregate growth, rising from 30-40% of growth prior to the 1980s to more than 70% since the year 2000. In addition, more than 20% of aggregate growth after 2000 stems from endogenous reallocation induced by structural change. At the same time, productivity growth within the input-output network has stagnated, accounting for the bulk of the recent slowdown in aggregate growth.

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