Updated on 2024/04/25

Affiliation
Affiliated organization, Waseda Institute for Advanced Study
Job title
Assistant Professor(non-tenure-track)
Degree
Doctor in Economics ( Waseda University )

Research Experience

  • 2023.04
    -
    Now

    Waseda Institute for Advanced Study (WIAS)   Assistant Professor (without tenure)

  • 2021.04
    -
    2023.03

    Waseda University   Faculty of Political Science and Economics   Research Associate

Education Background

  • 2015.09
    -
    2021.09

    Waseda University   Graduate School of Economics  

  • 2012.04
    -
    2015.09

    Waseda University   Graduate School of Economics  

  • 2007.04
    -
    2012.03

    Waseda University   School of Political Science and Economics  

Research Areas

  • Economic policy

Research Interests

  • Automobile market

  • Fuel tax

  • Emissions trading scheme

Awards

  • Azusa Ono Memorial Award

    2023.03   Waseda University  

    Winner: Tatsuya Abe

  • The 24th ISER Moriguchi Prize

    2021.12   Institute of Social and Economic Research, Osaka University  

    Winner: Tatsuya Abe

  • Best Paper Award by the 16th Applied Econometrics Conference

    2021.11   Institute of Economic Research, Hitotsubashi University  

    Winner: Tatsuya Abe

  • Best Paper Award

    2018.09   Society of Environmental Science  

    Winner: Tatsuya Abe, Shigeru Matsumoto, Kazuyuki Iwata

 

Papers

  • Causal Effects of the Tokyo Emissions Trading Scheme on Energy Consumption and Economic Performance

    Tatsuya Abe, Toshi H. Arimura

    Energy Policy   168   113151 - 113151  2022.09  [Refereed]

    Authorship:Lead author, Corresponding author

    DOI

    Scopus

    5
    Citation
    (Scopus)
  • An Empirical Study of the Tokyo Emissions Trading Scheme: An Ex Post Analysis of Emissions from University Buildings

    Tatsuya Abe, Toshi H. Arimura

    Economics, Law, and Institutions in Asia Pacific     97 - 116  2021

    Authorship:Lead author, Corresponding author

     View Summary

    <title>Abstract</title>
    The Tokyo Emissions Trading Scheme (ETS) is the first cap -and-trade program of CO2 emissions in Asia, and it is unique in regulating commercial and service sectors. We examine the impacts of the Tokyo ETS on CO2 emissions and energy consumption by universities in the first phase. Focusing on universities allows us to estimate the effects of the Tokyo ETS separately from the economic stagnation Japan experienced after the Great East Japan Earthquake in 2011 because universities are less likely to be affected by economic fluctuations compared to other sectors. In addition to the ETS, other factors may have achieved CO2 emissions reductions in Tokyo in this phase due to the influence of the earthquake. To deal with the shortage of electricity supply after the Fukushima disaster, several measures were undertaken, such as rolling blackouts and power-saving orders, particularly in the Tokyo Electricity Power Company’s jurisdiction. To capture the characteristics for each university at the campus level and their experience with being regulation targets of the policies mentioned above, we conducted a mail survey for universities in Japan and obtained panel data that contain information about both regulated and unregulated universities over 5 years (2009–2013). The difference-in-differences approach reveals that the Tokyo ETS caused regulated universities to reduce their CO2 emissions and energy consumption by approximately 3–5% relative to unregulated universities in the first phase. In addition, we find that the quantitative regulations, such as rolling blackouts and power-saving orders, also had an impact on the universities’ behavior.

    DOI

    Scopus

    6
    Citation
    (Scopus)
  • The Impact of the Tokyo Emissions Trading Scheme on Office Buildings: What Factor Contributed to the Emission Reduction?

    Toshi H. Arimura, Tatsuya Abe

    Environmental Economics and Policy Studies    2020.03  [Refereed]

     View Summary

    <title>Abstract</title>Tokyo ETS is the first emissions trading scheme to control GHG emissions from office buildings. Although the Tokyo government claimed that Tokyo ETS had been successful, some argued that the emission reduction under Tokyo ETS was actually the result of electricity price increases triggered by the Great East Japan Earthquake in 2011. Using a facility-level data set for Japanese office buildings, we conducted an econometric analysis to examine the impact of Tokyo ETS. We found that half of the emission reduction is a result of the ETS, while the rest of the reduction is due to the electricity price increase. Another unique feature of Tokyo ETS is that an accurate permit price is not publicly available due to its design. Using our estimated model, we found that the price is approximately $50 per ton of CO2 in the early phase.

    DOI

    Scopus

    32
    Citation
    (Scopus)
  • Rebound Effects for Passenger Vehicles in Urban and Rural Regions—An Analysis of Household Survey Data—

    ABE Tatsuya, MATSUMOTO Shigeru, IWATA Kazuyuki

    ENVIRONMENTAL SCIENCE   30 ( 3 ) 203 - 214  2017  [Refereed]

    Authorship:Lead author

     View Summary

    <p>In Japan, eco-friendly vehicles, such as hybrid vehicles, have been attracting attention as the government promotes them with subsidies and tax reductions. The target vehicles for promotion are selected according to their fuel economy performance, as per a nationwide uniform policy. Previous studies in Japan have observed a rebound effect when improved fuel economy increases the vehicle miles traveled; whereas no study has analyzed the differences in this rebound effect among domestic regions. If our study finds a gap in the rebound effect among regions, then the uniform promotion will be rendered cost-inefficient. Therefore, based on a survey of 790 households, this paper examines whether the rebound effect in urban regions is the same as in rural regions. Our empirical results show that: 1) there is no rebound effect in urban regions and, 2) the rebound effect is approximately 38 percent in rural regions. These findings suggest that the cost-effectiveness of the promotion in rural regions is less than that in urban regions. Thus, the government needs to set different subsidies for rural and urban regions, and promote the use of a public transport system in rural regions.</p>

    DOI CiNii

Presentations

  • Welfare Effects of Fuel Tax and Feebate Policies in the Japanese New Car Market

    Tatsuya Abe

    Tohoku University: Regional Science Workshop 

    Presentation date: 2023.10

    Event date:
    2023.10
     
     
  • Welfare Effects of Fuel Tax and Feebate Policies in the Japanese New Car Market

    Tatsuya Abe

    Hitotsubashi University: EnvTech & Innovation Economics Seminar 

    Presentation date: 2023.07

    Event date:
    2023.07
     
     
  • Welfare Effects of Fuel Tax and Feebate Policies in the Japanese New Car Market

    Tatsuya Abe

    The 30th Kansai Keiryo Keizaigaku Kenkyukai (KKKK) 

    Presentation date: 2023.01

    Event date:
    2023.01
     
     
  • Welfare Effects of Fuel Tax and Feebate Policies in the Japanese New Car Market

    Tatsuya Abe

    GSE-OSIPP-ISER Joint Conference in Economics 2022, Osaka University 

    Presentation date: 2022.09

    Event date:
    2022.09
     
     
  • Welfare Effects of Fuel Tax and Feebate Policies in the Japanese New Car Market

    Tatsuya Abe

    The 24th Moriguchi Prize Final Candidates Presentation 

    Presentation date: 2021.12

    Event date:
    2021.12
     
     
  • Welfare Effects of Fuel Tax and Feebate Policies in the Japanese New Car Market

    Tatsuya Abe

    The 16th Applied Econometrics Conference 

    Presentation date: 2021.11

    Event date:
    2021.11
     
     
  • Welfare Effects of Fuel Tax and Feebate Policies in the Japanese New Car Market

    Tatsuya Abe

    September Workshop on Economics at Otaru (SWEO) 2021 

    Presentation date: 2021.10

    Event date:
    2021.10
     
     
  • Estimation of Impacts of Carbon Tax and Feebate Policy on Economic Welfare in the Japanese New Car Market

    Tatsuya Abe

    Spring Meeting of the Japanese Economic Association (JEA) 

    Presentation date: 2021.05

    Event date:
    2021.05
     
     
  • An Empirical Study of Tokyo Emission Trading Scheme: An Ex-post Analysis of Emissions from Commercial Buildings

    Tatsuya Abe

    The 24th European Association of Environmental and Resource Economics (EAERE) Annual Conference 

    Presentation date: 2019.06

    Event date:
    2019.06
     
     
  • An Empirical Study of Tokyo Emission Trading Scheme: An Ex-post Analysis of Emissions from Commercial and University Buildings

    Tatsuya Abe

    The 6th International Association for Energy Economics (IAEE) Asian Conference 

    Presentation date: 2018.11

    Event date:
    2018.11
     
     

▼display all

Research Projects

  • 自動車市場における環境政策と自動車税制の厚生評価

    日本学術振興会  科学研究費助成事業

    Project Year :

    2024.04
    -
    2027.03
     

    阿部 達也

 

Syllabus

Teaching Experience

  • Intermediate Seminar (Introduction to Causal Inference)

    Waseda University  

    2024.04
    -
    Now
     

  • Intermediate Seminar (Introduction to Micro-Econometric Analysis)

    Waseda University  

    2024.04
    -
    Now
     

  • Introduction to Industrial Organization

    Otaru University of Commerce  

    2023.04
    -
    Now
     

 

Sub-affiliation

  • Faculty of Political Science and Economics   School of Political Science and Economics

Internal Special Research Projects

  • 構造推定アプローチによる生産関数の推定と環境政策評価への応用

    2023   遠山 祐太, Arlan Brucal

     View Summary

     排出量取引や炭素税を気候変動政策として導入する国・地域が増加している.これらのカーボンプライシングが企業活動へ及ぼす影響を把握し,その炭素削減効果を理解することは重要である.本研究課題の目標は,インドネシアの製造業における生産パネルデータを使用して各企業が有する炭素の限界削減費用を推定することである.企業は炭素の限界削減費用に基づいて,どの程度自ら削減を行い,市場からいくら排出権を購入するかについて意思決定を行う.したがって,各排出主体が直面する炭素の限界削減費用を把握することは,規制主体が環境政策の制度設計をする際に重要な役割を果たす.本研究課題の新規性は,企業が行う生産に関する意思決定を記述したモデルに生産技術やエネルギー効率性などの企業間異質性を新たに導入して,各企業が私的情報として有する炭素の削減費用を推定する点にある. データでは観測することができない生産技術やエネルギー効率性などの企業間異質性を考慮に入れた分析を行うためには,企業単位の生産に関する詳細なデータと経済理論に基づいたモデルが必要になる.そこで,インドネシアの製造業を対象にした年次調査を利用して企業単位の長期間にわたるパネルデータを構築し,構造推定アプローチによって各企業が行う生産に関する意思決定の構造パラメータを推定した.このパラメータの推定値を使うことによって,企業ごとに異なるエネルギー効率性などの経時変化を追うことができる. 本研究費の受給期間における主要な成果は,本研究課題の根幹となる生産関数を推定する作業を完了させることができたことである.これによって,本研究を学術論文としてまとめるまでの見通しを立てることができた.今後は,この推定されたモデルをもとに,各企業が有する炭素の削減費用を推定する予定である.