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東北大学政策デザイン研究センター × 名古屋市立大学経済学部
Research Center for Policy Design, Tohoku University & Faculty of Economics, Nagoya City University
JOINT WORKSHOP 開催


Thursday, August 1, 2024
使用言語： 英語　Language: English
会場：東北大学川内南キャンパス 経済学部棟 1F 第1演習室　Venue: Seminar Room 1, 1F, Economics Building , Tohoku University

ABSTRACT
13:05-14:05 Meet the editor: Navigating the editorial and peer review process
Dr. Marcella Veronesi, Technical University of Denmark/ University of Verona
This presentation offers an in-depth exploration of the editorial and peer review processes integral to academic publishing. Aimed at both junior and senior researchers, it will describe the journey from manuscript submission to publication. Attendees will gain insights into the editor's role, criteria for manuscript evaluation, and common reasons for rejection. By providing an overview of the editorial workflow, this presentation seeks to empower researchers to successfully navigate the complexities of peer review and enhance their publishing success.


14:05-15:05
Unveiling the Dynamics of Climate Change Effects on US Corn Yields: A Novel Approach for Measuring Adaptation
Dr. Stanley Iat-Meng Ko, Graduate School of Economics and Management, Tohoku University
This study employs a unique approach to assess the effects of climate change on US corn yields, emphasizing short-term and long-term impacts while quantifying adaptation. Leveraging a comprehensive dataset encompassing corn production and weather data, we challenge conventional assumptions by introducing time and county-varying coefficients that reveal the dynamic nature of adaptation. Our findings indicate that past temperatures significantly shape farmers’ expectations, influencing their adaptive strategies. Specifically, we identify a negative impact of hot temperatures, which diminishes in the presence of higher past temperatures, reflecting adaptation. We simulate the effects of a 2℃ temperature increase, uncovering substantial short-term negative impacts that attenuate over the long term. Our research not only advances understanding of climate change adaptation in agriculture but offers valuable insights for policymakers addressing climate challenges in the agricultural sector.

15:20-16:20
The Impact of Suggested Donation and Social Information on Voluntary Donations: Evidence from a Field Experiment in Costa Rica
Dr. Peter Martinsson, Technical University of Denmark/ University of Gothenburg
Which fundraising strategy is more effective and how donation behavior changes with different monetary amounts are still open questions. This study compares the effectiveness of two fundraising strategies, suggested donation and social information, and examines how different monetary amounts impact donation behavior. We implemented a field experiment on voluntary donations among visitors to a national park. Both fundraising strategies affect donation behavior. However, the donation pattern differs significantly depending on the monetary amounts shown. Social information increases donations up to an inflection point. Suggested donations are interpreted as a maximum donation. Our findings provide important insights for designing fundraising campaigns.

16:20-17:20
How can economics contribute to national park management? Big data and field experiment insights
Dr. Takahiro Kubo, National Institute for Environmental Studies
Increasing demand for biodiversity conservation and ecosystem services is leading to the expansion of protected areas worldwide. However, due to fixed and limited resources, protected area managers face management challenges. In this talk, I present some examples of management challenges in Japanese national parks and provide behavioural evidence through the field experiment and big data analysis to contribute to the development of effective management. Specifically, the field experiment study examines whether providing information about initial donations can change donation behaviour in the national park. The results show that announcing seed money is superior to showing the amount of others' contributions. The big data study investigates what determines rush hiking behaviour on Mt. Fuji. The results show that distance and weather are key factors. Finally, I summarise the importance of insights based on behavioural evidence to guide national park management.

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会場・オンラインそれぞれ25名ほど、計約50人の参加者が集い、議論が展開されました。
We had a fantastic turnout for the seminars, with 50 participants. Thank you!