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Maya Papineau

Personal Details

First Name:Maya
Middle Name:
Last Name:Papineau
Suffix:
RePEc Short-ID:ppa370
https://sites.google.com/site/mayapapineau/home

Affiliation

Department of Economics
Carleton University

Ottawa, Canada
http://www.carleton.ca/economics/

: (613) 520-3744
(613) 520-3906
1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6
RePEc:edi:decarca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Katrina Jessoe & Maya M. Papineau & David Rapson, 2017. "Utilities Included: Split Incentives in Commercial Electricity Contracts," Carleton Economic Papers 17-07, Carleton University, Department of Economics.
  2. Hashmat Khan & Christopher R. Knittel & Konstantinos Metaxoglou & Maya Papineau, 2016. "Carbon Emissions and Business Cycles," NBER Working Papers 22294, National Bureau of Economic Research, Inc.
  3. Maya M. Papineau, 2015. "Setting the Standard: Commercial Electricity Consumption Responses to Energy Codes," Carleton Economic Papers 15-04, Carleton University, Department of Economics.
  4. Papineau, Maya, 2013. "Energy Codes and the Landlord-Tenant Problem," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2bq3x1t6, Department of Agricultural & Resource Economics, UC Berkeley.
  5. Rausser, Gordon C. & Papineau, Maya, 2008. "Managing R&D risk in renewable energy," Transition to a Bio Economy Conferences, Risk, Infrastructure and Industry Evolution Conference, June 24-25, 2008, Berkeley, California 48726, Farm Foundation.

Articles

  1. Maya Papineau, 2017. "Energy Efficiency Premiums in Unlabeled Office Buildings," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  2. Papineau, Maya, 2017. "Setting the standard? A framework for evaluating the cost-effectiveness of building energy standards," Energy Economics, Elsevier, vol. 64(C), pages 63-76.
  3. Papineau, Maya & Aunan, Kristin & Berntsen, Terje, 2009. "Distributional determinants of household air pollution in China," Environment and Development Economics, Cambridge University Press, vol. 14(05), pages 621-639, October.
  4. Papineau, Maya, 2006. "An economic perspective on experience curves and dynamic economies in renewable energy technologies," Energy Policy, Elsevier, vol. 34(4), pages 422-432, March.

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. Papineau, Maya, 2013. "Energy Codes and the Landlord-Tenant Problem," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2bq3x1t6, Department of Agricultural & Resource Economics, UC Berkeley.

    Cited by:

    1. Maya M. Papineau, 2015. "Setting the Standard: Commercial Electricity Consumption Responses to Energy Codes," Carleton Economic Papers 15-04, Carleton University, Department of Economics.
    2. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2015. "Assessing the Energy-Efficiency Gap," Working Papers 2015.35, Fondazione Eni Enrico Mattei.
    3. Oskari Harjunen & Matti Liski, 2014. "Not so Myopic Consumers - Evidence on Capitalization of Energy Technologies in a Housing Market," CESifo Working Paper Series 4989, CESifo Group Munich.
    4. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins & Robert C. Stowe, 2015. "An Assessment of the Energy-Efficiency Gap and its Implications for Climate-Change Policy," NBER Working Papers 20905, National Bureau of Economic Research, Inc.
    5. Heather Klemick & Elizabeth Kopits & Ann Wolverton, 2015. "The Energy Efficiency Paradox: A Case Study of Supermarket Refrigeration System Investment Decisions," NCEE Working Paper Series 201503, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Jun 2015.
    6. Kahn, Matthew E. & Kok, Nils & Quigley, John M., 2014. "Carbon emissions from the commercial building sector: The role of climate, quality, and incentives," Journal of Public Economics, Elsevier, vol. 113(C), pages 1-12.
    7. Grant Jacobsen, 2016. "Improving Energy Codes," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).

Articles

  1. Papineau, Maya, 2006. "An economic perspective on experience curves and dynamic economies in renewable energy technologies," Energy Policy, Elsevier, vol. 34(4), pages 422-432, March.

    Cited by:

    1. Kim, Dong Wook & Chang, Hyun Joon, 2012. "Experience curve analysis on South Korean nuclear technology and comparative analysis with South Korean renewable technologies," Energy Policy, Elsevier, vol. 40(C), pages 361-373.
    2. Doukas, Haris & Mannsbart, Wilhelm & Patlitzianas, Konstantinos D. & Psarras, John & Ragwitz, Mario & Schlomann, Barbara, 2007. "A methodology for validating the renewable energy data in EU," Renewable Energy, Elsevier, vol. 32(12), pages 1981-1998.
    3. Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
    4. Rout, Ullash K. & Blesl, Markus & Fahl, Ulrich & Remme, Uwe & Voß, Alfred, 2009. "Uncertainty in the learning rates of energy technologies: An experiment in a global multi-regional energy system model," Energy Policy, Elsevier, vol. 37(11), pages 4927-4942, November.
    5. Kahouli, Sondès, 2011. "Effects of technological learning and uranium price on nuclear cost: Preliminary insights from a multiple factors learning curve and uranium market modeling," Energy Economics, Elsevier, vol. 33(5), pages 840-852, September.
    6. Berry, Stephen & Davidson, Kathryn, 2015. "Zero energy homes – Are they economically viable?," Energy Policy, Elsevier, vol. 85(C), pages 12-21.
    7. del Río, Pablo & Bleda, Mercedes, 2012. "Comparing the innovation effects of support schemes for renewable electricity technologies: A function of innovation approach," Energy Policy, Elsevier, vol. 50(C), pages 272-282.
    8. Darmani, Anna, 2015. "Renewable energy investors in Sweden: A cross-subsector analysis of dynamic capabilities," Utilities Policy, Elsevier, vol. 37(C), pages 46-57.
    9. Bernardos, Eva & López, Ignacio & Rodríguez, Javier & Abánades, Alberto, 2013. "Assessing the potential of hybrid fossil–solar thermal plants for energy policy making: Brayton cycles," Energy Policy, Elsevier, vol. 62(C), pages 99-106.
    10. Joan Canton & Åsa Johannesson Lindén, 2010. "Support schemes for renewable electricity in the EU," European Economy - Economic Papers 2008 - 2015 408, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    11. Jamasb, T., 2006. "Technical Change Theory and Learning Curves: Patterns of Progress in Energy Technologies," Cambridge Working Papers in Economics 0625, Faculty of Economics, University of Cambridge.
    12. Claire Nicolas & Stéphane Tchung-Ming & Emmanuel Hache, 2016. "Energy transition in transportation under cost uncertainty- an assessment based on robust optimization," EconomiX Working Papers 2016-29, University of Paris Nanterre, EconomiX.
    13. Winkler, Harald & Hughes, Alison & Haw, Mary, 2009. "Technology learning for renewable energy: Implications for South Africa's long-term mitigation scenarios," Energy Policy, Elsevier, vol. 37(11), pages 4987-4996, November.
    14. Franc{c}ois Lafond & Aimee Gotway Bailey & Jan David Bakker & Dylan Rebois & Rubina Zadourian & Patrick McSharry & J. Doyne Farmer, 2017. "How well do experience curves predict technological progress? A method for making distributional forecasts," Papers 1703.05979, arXiv.org, revised Sep 2017.
    15. Desroches, Louis-Benoit & Garbesi, Karina & Kantner, Colleen & Van Buskirk, Robert & Yang, Hung-Chia, 2013. "Incorporating experience curves in appliance standards analysis," Energy Policy, Elsevier, vol. 52(C), pages 402-416.
    16. Frondel, Manuel & Ritter, Nolan & Schmidt, Christoph M., 2008. "Germany's Solar Cell Promotion: Dark Clouds on the Horizon," Ruhr Economic Papers 40, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    17. Candelise, Chiara & Winskel, Mark & Gross, Robert J.K., 2013. "The dynamics of solar PV costs and prices as a challenge for technology forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 96-107.
    18. Zhai, Pei, 2013. "Analyzing solar energy policies using a three-tier model: A case study of photovoltaics adoption in Arizona, United States," Renewable Energy, Elsevier, vol. 57(C), pages 317-322.
    19. Kahouli-Brahmi, Sondes, 2009. "Testing for the presence of some features of increasing returns to adoption factors in energy system dynamics: An analysis via the learning curve approach," Ecological Economics, Elsevier, vol. 68(4), pages 1195-1212, February.
    20. Ansar, Jasmin & Sparks, Roger, 2009. "The experience curve, option value, and the energy paradox," Energy Policy, Elsevier, vol. 37(3), pages 1012-1020, March.
    21. Bolinger, Mark & Wiser, Ryan, 2012. "Understanding wind turbine price trends in the U.S. over the past decade," Energy Policy, Elsevier, vol. 42(C), pages 628-641.
    22. Lin, Boqiang & He, Jiaxin, 2016. "Learning curves for harnessing biomass power: What could explain the reduction of its cost during the expansion of China?," Renewable Energy, Elsevier, vol. 99(C), pages 280-288.
    23. Harashima, Taiji, 2009. "A Theory of Total Factor Productivity and the Convergence Hypothesis: Workers’ Innovations as an Essential Element," MPRA Paper 15508, University Library of Munich, Germany.
    24. Rausser, Gordon C. & Papineau, Maya, 2008. "Managing R&D Risk in Renewable Energy," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt41j9f6ks, Department of Agricultural & Resource Economics, UC Berkeley.
    25. Strupeit, Lars, 2017. "An innovation system perspective on the drivers of soft cost reduction for photovoltaic deployment: The case of Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 273-286.
    26. Bolinger, Mark & Wiser, Ryan, 2009. "Wind power price trends in the United States: Struggling to remain competitive in the face of strong growth," Energy Policy, Elsevier, vol. 37(3), pages 1061-1071, March.
    27. Harashima, Taiji, 2014. "Division of Work and Fragmented Information: An Explanation for the Diminishing Marginal Product of Labor," MPRA Paper 56301, University Library of Munich, Germany.
    28. Alberth, Stephan & Hope, Chris, 2007. "Climate modelling with endogenous technical change: Stochastic learning and optimal greenhouse gas abatement in the PAGE2002 model," Energy Policy, Elsevier, vol. 35(3), pages 1795-1807, March.
    29. Gan, Peck Yean & Li, ZhiDong, 2015. "Quantitative study on long term global solar photovoltaic market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 88-99.
    30. Ortega, Margarita & Río, Pablo del & Ruiz, Pablo & Thiel, Christian, 2015. "Employment effects of renewable electricity deployment. A novel methodology," Energy, Elsevier, vol. 91(C), pages 940-951.
    31. Arthur van Benthem & Kenneth Gillingham & James Sweeney, 2008. "Learning-by-Doing and the Optimal Solar Policy in California," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 131-152.
    32. Hwang Won-Sik & Oh Inha & Lee Jeong-Dong, 2014. "The Impact of Korea’s Green Growth Policies on the National Economy and Environment," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 14(4), pages 1-30, October.
    33. Berry, Stephen & Davidson, Kathryn, 2016. "Improving the economics of building energy code change: A review of the inputs and assumptions of economic models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 157-166.
    34. Héctor M. Núñez, 2013. "How Relevant Has Been the Learning-by-Doing for Brazilian Sugarcane Ethanol Production?," Working papers DTE 552, CIDE, División de Economía.
    35. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
    36. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
    37. Chen, Xiaoguang & Khanna, Madhu, 2012. "Explaining the reductions in US corn ethanol processing costs: Testing competing hypotheses," Energy Policy, Elsevier, vol. 44(C), pages 153-159.
    38. Hong, Sungjun & Chung, Yanghon & Woo, Chungwon, 2015. "Scenario analysis for estimating the learning rate of photovoltaic power generation based on learning curve theory in South Korea," Energy, Elsevier, vol. 79(C), pages 80-89.
    39. Harashima, Taiji, 2011. "A Model of Total Factor Productivity Built on Hayek’s View of Knowledge: What Really Went Wrong with Socialist Planned Economies?," MPRA Paper 29107, University Library of Munich, Germany.
    40. del Río, Pablo & Tarancón, Miguel-Ángel, 2012. "Analysing the determinants of on-shore wind capacity additions in the EU: An econometric study," Applied Energy, Elsevier, pages 12-21.
    41. Harashima, Taiji, 2012. "A Theory of Intelligence and Total Factor Productivity: Value Added Reflects the Fruits of Fluid Intelligence," MPRA Paper 43151, University Library of Munich, Germany.

More information

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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 (3) 2013-07-28 2015-05-16 2017-05-07
  2. NEP-CTA: Contract Theory & Applications (1) 2017-05-07
  3. NEP-DGE: Dynamic General Equilibrium (1) 2016-06-14
  4. NEP-ENV: Environmental Economics (1) 2016-06-14
  5. NEP-MAC: Macroeconomics (1) 2016-06-14
  6. NEP-REG: Regulation (1) 2017-05-07
  7. NEP-URE: Urban & Real Estate Economics (1) 2013-07-28

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