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In Chang Hwang

Personal Details

First Name:In Chang
Middle Name:
Last Name:Hwang
Suffix:
RePEc Short-ID:phw11
[This author has chosen not to make the email address public]
Terminal Degree:2014 School of Business and Economics; Vrije Universiteit Amsterdam (from RePEc Genealogy)

Affiliation

Seoul Development Institute

Seoul, South Korea
http://www.sdi.re.kr/
RePEc:edi:sdirekr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Hwang, In Chang & Son, Wonik, 2019. "The benefit of management policy of Seoul on airborne particulate matter: An application of contingent valuation," MPRA Paper 93613, University Library of Munich, Germany.
  2. In Chang Hwang, 2016. "Active learning and optimal climate policy," EcoMod2016 9611, EcoMod.
  3. Hwang, In Chang, 2013. "Stochastic Kaya model and its applications," MPRA Paper 55099, University Library of Munich, Germany.
  4. Hwang, In Chang, 2013. "Anthropogenic drivers of carbon emissions: scale and counteracting effects," MPRA Paper 52224, University Library of Munich, Germany.

Articles

  1. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.
  2. In Chang Hwang, 2017. "A Recursive Method for Solving a Climate–Economy Model: Value Function Iterations with Logarithmic Approximations," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 95-110, June.
  3. Hwang, In Chang & Reynès, Frédéric & Tol, Richard S.J., 2017. "The effect of learning on climate policy under fat-tailed risk," Resource and Energy Economics, Elsevier, vol. 48(C), pages 1-18.
  4. Hwang, In Chang & Tol, Richard S.J. & Hofkes, Marjan W., 2016. "Fat-tailed risk about climate change and climate policy," Energy Policy, Elsevier, vol. 89(C), pages 25-35.
  5. In Hwang & Frédéric Reynès & Richard Tol, 2013. "Climate Policy Under Fat-Tailed Risk: An Application of Dice," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(3), pages 415-436, November.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. In Chang Hwang, 2016. "Active learning and optimal climate policy," EcoMod2016 9611, EcoMod.

    Cited by:

    1. David Anthoff & Richard S. J. Tol, 2021. "Testing the Dismal Theorem," CESifo Working Paper Series 8939, CESifo.
    2. Karunanayake, N. & Aimmanee, P. & Lohitvisate, W. & Makhanov, S.S., 2020. "Particle method for segmentation of breast tumors in ultrasound images," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 170(C), pages 257-284.
    3. Le, Anh-Tuan & Tran, Thao Phuong & Mishra, Anil V., 2023. "Climate risk and bank stability: International evidence," Journal of Multinational Financial Management, Elsevier, vol. 70.
    4. Lei, Nuoa & Masanet, Eric, 2020. "Statistical analysis for predicting location-specific data center PUE and its improvement potential," Energy, Elsevier, vol. 201(C).
    5. In Chang Hwang, 2017. "A Recursive Method for Solving a Climate–Economy Model: Value Function Iterations with Logarithmic Approximations," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 95-110, June.
    6. Lee, Dong-Young & Mehran, Muhammad Taqi & Kim, Jonghwan & Kim, Sangcho & Lee, Seung-Bok & Song, Rak-Hyun & Ko, Eun-Yong & Hong, Jong-Eun & Huh, Joo-Youl & Lim, Tak-Hyoung, 2020. "Scaling up syngas production with controllable H2/CO ratio in a highly efficient, compact, and durable solid oxide coelectrolysis cell unit-bundle," Applied Energy, Elsevier, vol. 257(C).
    7. Pollard, Ciarán P. & Griffin, Christine T. & Andrade Moral, Rafael de & Duffy, Catriona & Chuche, Julien & Gaffney, Michael T. & Fealy, Reamonn M. & Fealy, Rowan, 2020. "phenModel: A temperature-dependent phenology/voltinism model for a herbivorous insect incorporating facultative diapause and budburst," Ecological Modelling, Elsevier, vol. 416(C).
    8. Vogt, Christine A. & Andereck, Kathleen L. & Pham, Kim, 2020. "Designing for quality of life and sustainability," Annals of Tourism Research, Elsevier, vol. 83(C).

  2. Hwang, In Chang, 2013. "Stochastic Kaya model and its applications," MPRA Paper 55099, University Library of Munich, Germany.

    Cited by:

    1. Paunić, Alida, 2016. "Brazil, Preservation of Forest and Biodiversity," MPRA Paper 71462, University Library of Munich, Germany.

  3. Hwang, In Chang, 2013. "Anthropogenic drivers of carbon emissions: scale and counteracting effects," MPRA Paper 52224, University Library of Munich, Germany.

    Cited by:

    1. Paunić, Alida, 2016. "Brazil, Preservation of Forest and Biodiversity," MPRA Paper 71462, University Library of Munich, Germany.

Articles

  1. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.
    See citations under working paper version above.
  2. In Chang Hwang, 2017. "A Recursive Method for Solving a Climate–Economy Model: Value Function Iterations with Logarithmic Approximations," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 95-110, June.

    Cited by:

    1. Aneli Bongers & Cesar Ortiz & Jose L. Torres, 2024. "DISE: A Dynamic Integrated Space Economy Model for Orbital Debris Mitigation Policy Evaluation," Space Economics Working Papers 03-2024, Institute for Space Economics, revised Sep 2024.
    2. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.

  3. Hwang, In Chang & Reynès, Frédéric & Tol, Richard S.J., 2017. "The effect of learning on climate policy under fat-tailed risk," Resource and Energy Economics, Elsevier, vol. 48(C), pages 1-18.

    Cited by:

    1. David Anthoff & Richard S. J. Tol, 2021. "Testing the Dismal Theorem," CESifo Working Paper Series 8939, CESifo.
    2. Gissela Landa & Paul Malliet & Frédéric Reynés & Aurélien Saussay, 2018. "The state of applied environmental macroeconomics," SciencePo Working papers Main hal-03443474, HAL.
    3. Yongyang Cai, 2020. "The Role of Uncertainty in Controlling Climate Change," Papers 2003.01615, arXiv.org, revised Oct 2020.
    4. In Chang Hwang & Richard S.J. Tol & Marjan W. Hofkes, 2013. "Active Learning about Climate Change," Working Paper Series 6513, Department of Economics, University of Sussex Business School.
    5. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.
    6. In Chang Hwang, 2017. "A Recursive Method for Solving a Climate–Economy Model: Value Function Iterations with Logarithmic Approximations," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 95-110, June.
    7. Ahlvik, Lassi & Iho, Antti, 2018. "Optimal geoengineering experiments," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 148-168.
    8. Samuel Jovan Okullo, 2020. "Determining the Social Cost of Carbon: Under Damage and Climate Sensitivity Uncertainty," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(1), pages 79-103, January.
    9. Hwang, In Chang, 2014. "Fat-tailed uncertainty and the learning-effect," MPRA Paper 53671, University Library of Munich, Germany.
    10. Ekholm, Tommi, 2018. "Climatic Cost-benefit Analysis Under Uncertainty and Learning on Climate Sensitivity and Damages," Ecological Economics, Elsevier, vol. 154(C), pages 99-106.

  4. Hwang, In Chang & Tol, Richard S.J. & Hofkes, Marjan W., 2016. "Fat-tailed risk about climate change and climate policy," Energy Policy, Elsevier, vol. 89(C), pages 25-35.

    Cited by:

    1. David Anthoff & Richard S. J. Tol, 2021. "Testing the Dismal Theorem," CESifo Working Paper Series 8939, CESifo.
    2. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
    3. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.
    4. Hwang, In Chang & Reynès, Frédéric & Tol, Richard S.J., 2017. "The effect of learning on climate policy under fat-tailed risk," Resource and Energy Economics, Elsevier, vol. 48(C), pages 1-18.
    5. Samuel Jovan Okullo, 2020. "Determining the Social Cost of Carbon: Under Damage and Climate Sensitivity Uncertainty," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(1), pages 79-103, January.
    6. Hassler, J. & Krusell, P. & Smith, A.A., 2016. "Environmental Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1893-2008, Elsevier.

  5. In Hwang & Frédéric Reynès & Richard Tol, 2013. "Climate Policy Under Fat-Tailed Risk: An Application of Dice," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(3), pages 415-436, November.

    Cited by:

    1. Tomas Havranek & Zuzana Irsova & Karel Janda & David Zilberman, 2015. "Selective reporting and the social cost of carbon," CAMA Working Papers 2015-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. David Anthoff & Richard S. J. Tol, 2021. "Testing the Dismal Theorem," CESifo Working Paper Series 8939, CESifo.
    3. Gissela Landa & Paul Malliet & Frédéric Reynés & Aurélien Saussay, 2018. "The state of applied environmental macroeconomics," SciencePo Working papers Main hal-03443474, HAL.
    4. Masako Ikefuji & Jan Magnus & Andrey Vasnev, 2023. "The role of data and priors in estimating climate sensitivity," ISER Discussion Paper 1217, Institute of Social and Economic Research, Osaka University.
    5. Valentini, Edilio & Vitale, Paolo, 2014. "Optimal Climate Policy for a Pessimistic Social Planner," Climate Change and Sustainable Development 166409, Fondazione Eni Enrico Mattei (FEEM).
    6. W. Botzen & Jeroen Bergh, 2014. "Specifications of Social Welfare in Economic Studies of Climate Policy: Overview of Criteria and Related Policy Insights," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 1-33, May.
    7. W. J. Wouter Botzen & Jeroen C. J. M. Van Den Bergh & Graciela Chichilnisky, 2018. "Climate Policy Without Intertemporal Dictatorship: Chichilnisky Criterion Versus Classical Utilitarianism In Dice," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 1-17, May.
    8. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Expected Utility and Catastrophic Risk in a Stochastic Economy-Climate Model," Other publications TiSEM 52cbee73-e1dc-4ed3-8ec9-6, Tilburg University, School of Economics and Management.
    9. Jasper N. Meya & Ulrike Kornek & Kai Lessmann, 2018. "How empirical uncertainties influence the stability of climate coalitions," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(2), pages 175-198, April.
    10. Yi-Ming Wei & Zhi-Fu Mi & Zhiming Huang, 2014. "Climate policy modeling: An online SCI-E and SSCI based literature review," CEEP-BIT Working Papers 58, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    11. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.
    12. Vogt-Schilb, Adrien & Meunier, Guy & Hallegatte, Stephane, 2018. "When Starting with the Most Expensive Option Makes Sense: Optimal Timing, Cost and Sectoral Allocation of Abatement Investment," IDB Publications (Working Papers) 8809, Inter-American Development Bank.
    13. Giacomo Marangoni & Jonathan R. Lamontagne & Julianne D. Quinn & Patrick M. Reed & Klaus Keller, 2021. "Adaptive mitigation strategies hedge against extreme climate futures," Climatic Change, Springer, vol. 166(3), pages 1-17, June.
    14. Hwang, In Chang & Reynès, Frédéric & Tol, Richard S.J., 2017. "The effect of learning on climate policy under fat-tailed risk," Resource and Energy Economics, Elsevier, vol. 48(C), pages 1-18.
    15. Davidson, Marc D., 2014. "Zero discounting can compensate future generations for climate damage," Ecological Economics, Elsevier, vol. 105(C), pages 40-47.
    16. Masako Ikefuji & Jan R. Magnus, 2020. "The perception of climate sensitivity: Revealing priors from posteriors," ISER Discussion Paper 1111, Institute of Social and Economic Research, Osaka University.
    17. Samuel Jovan Okullo, 2020. "Determining the Social Cost of Carbon: Under Damage and Climate Sensitivity Uncertainty," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(1), pages 79-103, January.
    18. Delton B. Chen & Joel van der Beek & Jonathan Cloud, 2017. "Climate mitigation policy as a system solution: addressing the risk cost of carbon," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 7(3), pages 233-274, July.
    19. Hwang, In Chang, 2014. "Fat-tailed uncertainty and the learning-effect," MPRA Paper 53671, University Library of Munich, Germany.
    20. Hwang, In Chang & Tol, Richard S.J. & Hofkes, Marjan W., 2016. "Fat-tailed risk about climate change and climate policy," Energy Policy, Elsevier, vol. 89(C), pages 25-35.
    21. In Chang Hwang & Richard S.J. Tol & Marjan W. Hofkes, 2013. "Tail-effect and the Role of Greenhouse Gas Emissions Control," Working Paper Series 6613, Department of Economics, University of Sussex Business School.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ENE: Energy Economics (4) 2013-12-20 2014-04-11 2017-04-23 2019-05-06
  2. NEP-ENV: Environmental Economics (4) 2013-12-20 2014-04-11 2017-04-23 2019-05-06
  3. NEP-DCM: Discrete Choice Models (1) 2019-05-06
  4. NEP-GER: German Papers (1) 2014-04-11

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