IDEAS home Printed from https://ideas.repec.org/e/pqi77.html
   My authors  Follow this author

Yueming Qiu

Personal Details

First Name:Yueming
Middle Name:
Last Name:Qiu
Suffix:
RePEc Short-ID:pqi77
[This author has chosen not to make the email address public]
https://sites.google.com/site/yueminglucyqiu/home

Affiliation

School of Public Policy
University of Maryland

College Park, Maryland (United States)
http://www.publicpolicy.umd.edu/

: 301.405.6330

Van Munching Hall, College Park, MD 20742-1821
RePEc:edi:spumdus (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Qiu, Yueming & Colson, Gregory & Wetzstein, Michael E., 2017. "Risk preference and adverse selection for participation in time-of-use electricity pricing programs," Resource and Energy Economics, Elsevier, vol. 47(C), pages 126-142.
  2. Yueming Qiu & Shuai Yin & Yi David Wang, 2016. "Peer Effects and Voluntary Green Building Certification," Sustainability, MDPI, Open Access Journal, vol. 8(7), pages 1-15, July.
  3. Nienhueser, Ian Andrew & Qiu, Yueming, 2016. "Economic and environmental impacts of providing renewable energy for electric vehicle charging – A choice experiment study," Applied Energy, Elsevier, vol. 180(C), pages 256-268.
  4. Yueming Qiu & Yi David Wang & Jianfeng Wang, 2015. "Implied discount rate and payback threshold of energy efficiency investment in the industrial sector," Applied Economics, Taylor & Francis Journals, vol. 47(21), pages 2218-2233, May.
  5. Zhang, Huiming & Li, Lianshui & Zhou, Peng & Hou, Jianmin & Qiu, Yueming, 2014. "Subsidy modes, waste cooking oil and biofuel: Policy effectiveness and sustainable supply chains in China," Energy Policy, Elsevier, vol. 65(C), pages 270-274.
  6. Li, Yan & Qiu, Yueming & Wang, Yi David, 2014. "Explaining the contract terms of energy performance contracting in China: The importance of effective financing," Energy Economics, Elsevier, vol. 45(C), pages 401-411.
  7. Qiu, Yueming & Colson, Gregory & Grebitus, Carola, 2014. "Risk preferences and purchase of energy-efficient technologies in the residential sector," Ecological Economics, Elsevier, vol. 107(C), pages 216-229.
  8. Yueming Qiu, 2014. "Energy Efficiency and Rebound Effects: An Econometric Analysis of Energy Demand in the Commercial Building Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(2), pages 295-335, October.
  9. Qiu, Yueming & Ortolano, Leonard & David Wang, Yi, 2013. "Factors influencing the technology upgrading and catch-up of Chinese wind turbine manufacturers: Technology acquisition mechanisms and government policies," Energy Policy, Elsevier, vol. 55(C), pages 305-316.
  10. Qiu, Yueming & Anadon, Laura D., 2012. "The price of wind power in China during its expansion: Technology adoption, learning-by-doing, economies of scale, and manufacturing localization," Energy Economics, Elsevier, vol. 34(3), pages 772-785.

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.

Articles

  1. Qiu, Yueming & Colson, Gregory & Wetzstein, Michael E., 2017. "Risk preference and adverse selection for participation in time-of-use electricity pricing programs," Resource and Energy Economics, Elsevier, vol. 47(C), pages 126-142.

    Cited by:

    1. Wang, Chen & Zhou, Kaile & Yang, Shanlin, 2017. "A review of residential tiered electricity pricing in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 533-543.
    2. Cl'emence Alasseur & Ivar Ekeland & Romuald Elie & Nicol'as Hern'andez Santib'a~nez & Dylan Possamai, 2017. "An adverse selection approach to power pricing," Papers 1706.01934, arXiv.org, revised Jun 2018.

  2. Yueming Qiu & Shuai Yin & Yi David Wang, 2016. "Peer Effects and Voluntary Green Building Certification," Sustainability, MDPI, Open Access Journal, vol. 8(7), pages 1-15, July.

    Cited by:

    1. David T. Tan & Yi Gong & José Gabriel Siri, 2017. "The Impact of Subsidies on the Prevalence of Climate-Sensitive Residential Buildings in Malaysia," Sustainability, MDPI, Open Access Journal, vol. 9(12), pages 1-26, December.

  3. Nienhueser, Ian Andrew & Qiu, Yueming, 2016. "Economic and environmental impacts of providing renewable energy for electric vehicle charging – A choice experiment study," Applied Energy, Elsevier, vol. 180(C), pages 256-268.

    Cited by:

    1. Barrientos, Jorge & Velilla, Esteban & Tobón Orozco, David & Villada, Fernando & López Lezama, Jesús M., 2018. "On the estimation of the price elasticity of electricity demand in the manufacturing industry of Colombia," BORRADORES DEL CIE 016025, UNIVERSIDAD DE ANTIOQUIA - CIE.
    2. Hung, Duong Quoc & Dong, Zhao Yang & Trinh, Hieu, 2016. "Determining the size of PHEV charging stations powered by commercial grid-integrated PV systems considering reactive power support," Applied Energy, Elsevier, vol. 183(C), pages 160-169.
    3. Lee, Yongseung & Kim, Chongman & Shin, Juneseuk, 2016. "A hybrid electric vehicle market penetration model to identify the best policy mix: A consumer ownership cycle approach," Applied Energy, Elsevier, vol. 184(C), pages 438-449.
    4. Hung, Nguyen Ba & Sung, Jaewon & Lim, Ocktaeck, 2018. "A simulation and experimental study of operating performance of an electric bicycle integrated with a semi-automatic transmission," Applied Energy, Elsevier, vol. 221(C), pages 319-333.
    5. Li, Wenbo & Long, Ruyin & Chen, Hong & Yang, Tong & Geng, Jichao & Yang, Muyi, 2018. "Effects of personal carbon trading on the decision to adopt battery electric vehicles: Analysis based on a choice experiment in Jiangsu, China," Applied Energy, Elsevier, vol. 209(C), pages 478-488.
    6. Pérez-López, Paula & de Vree, Jeroen H. & Feijoo, Gumersindo & Bosma, Rouke & Barbosa, Maria J. & Moreira, María Teresa & Wijffels, René H. & van Boxtel, Anton J.B. & Kleinegris, Dorinde M.M., 2017. "Comparative life cycle assessment of real pilot reactors for microalgae cultivation in different seasons," Applied Energy, Elsevier, vol. 205(C), pages 1151-1164.
    7. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Lu, Longxi & He, Yu, 2017. "The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China," Applied Energy, Elsevier, vol. 196(C), pages 180-189.
    8. He, Yongxiu & Zhang, Qi & Pang, Yuexia, 2017. "The development pattern design of Chinese electric vehicles based on the analysis of the critical price of the life cycle cost," Energy Policy, Elsevier, vol. 109(C), pages 382-388.
    9. Aghajani, Saemeh & Kalantar, Mohsen, 2017. "Operational scheduling of electric vehicles parking lot integrated with renewable generation based on bilevel programming approach," Energy, Elsevier, vol. 139(C), pages 422-432.

  4. Zhang, Huiming & Li, Lianshui & Zhou, Peng & Hou, Jianmin & Qiu, Yueming, 2014. "Subsidy modes, waste cooking oil and biofuel: Policy effectiveness and sustainable supply chains in China," Energy Policy, Elsevier, vol. 65(C), pages 270-274.

    Cited by:

    1. Zhang, Huiming & Xu, Zhidong & Zhou, Dequn & Cao, Jie, 2017. "Waste cooking oil-to-energy under incomplete information: Identifying policy options through an evolutionary game," Applied Energy, Elsevier, vol. 185(P1), pages 547-555.
    2. Zhang, Huiming & Aytun Ozturk, U. & Wang, Qunwei & Zhao, Zengyao, 2014. "Biodiesel produced by waste cooking oil: Review of recycling modes in China, the US and Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 677-685.
    3. Zhang, Huiming & Zheng, Yu & Cao, Jie & Qiu, Yueming, 2017. "Has government intervention effectively encouraged the use of waste cooking oil as an energy source? Comparison of two Chinese biofuel companies," Energy, Elsevier, vol. 140(P1), pages 708-715.
    4. Yuyin Yi & Jinxi Li, 2018. "Cost-Sharing Contracts for Energy Saving and Emissions Reduction of a Supply Chain under the Conditions of Government Subsidies and a Carbon Tax," Sustainability, MDPI, Open Access Journal, vol. 10(3), pages 1-33, March.

  5. Li, Yan & Qiu, Yueming & Wang, Yi David, 2014. "Explaining the contract terms of energy performance contracting in China: The importance of effective financing," Energy Economics, Elsevier, vol. 45(C), pages 401-411.

    Cited by:

    1. Klinke, Sandra, 2018. "The determinants for adoption of energy supply contracting: Empirical evidence from the Swiss market," Energy Policy, Elsevier, vol. 118(C), pages 221-231.
    2. Pei-Chien Lin & Ming-Feng Hung, 2016. "The Effect of Energy Service Companies on Energy Use in Selected Developing Countries: A Synthetic Control Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 335-348.
    3. Hongquan Ruan & Xin Gao & Chaoxuan Mao, 2018. "Empirical Study on Annual Energy-Saving Performance of Energy Performance Contracting in China," Sustainability, MDPI, Open Access Journal, vol. 10(5), pages 1-25, May.
    4. Guangyuan Xing & Dong Qian & Ju’e Guo, 2016. "Research on the Participant Behavior Selections of the Energy Performance Contracting Project Based on the Robustness of the Shared Savings Contract," Sustainability, MDPI, Open Access Journal, vol. 8(8), pages 1-13, July.
    5. Qin, Quande & Liang, Fuqi & Li, Li & Wei, Yi-Ming, 2017. "Selection of energy performance contracting business models: A behavioral decision-making approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 422-433.

  6. Qiu, Yueming & Colson, Gregory & Grebitus, Carola, 2014. "Risk preferences and purchase of energy-efficient technologies in the residential sector," Ecological Economics, Elsevier, vol. 107(C), pages 216-229.

    Cited by:

    1. Olsthoorn, Mark & Schleich, Joachim & Gassmann, Xavier & Faure, Corinne, 2017. "Free riding and rebates for residential energy efficiency upgrades: A multi-country contingent valuation experiment," Working Papers "Sustainability and Innovation" S10/2017, Fraunhofer Institute for Systems and Innovation Research (ISI).
    2. Schleich, Joachim & Faure, Corinne & Gassmann, Xavier, 2017. "Household electricity contract and provider switching in the EU," Working Papers "Sustainability and Innovation" S14/2017, Fraunhofer Institute for Systems and Innovation Research (ISI).
    3. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    4. Busic-Sontic, Ante & Czap, Natalia V. & Fuerst, Franz, 2017. "The role of personality traits in green decision-making," Journal of Economic Psychology, Elsevier, vol. 62(C), pages 313-328.
    5. Samdruk Dharshing & Stefanie Lena Hille, 2017. "The Energy Paradox Revisited: Analyzing the Role of Individual Differences and Framing Effects in Information Perception," Journal of Consumer Policy, Springer, vol. 40(4), pages 485-508, December.
    6. Ramos, A. & Gago, A. & Labandeira, X. & Linares, P., 2015. "The role of information for energy efficiency in the residential sector," Energy Economics, Elsevier, vol. 52(S1), pages 17-29.
    7. Urs Fischbacher & Simeon Schudy & Sabrina Teyssier, 2015. "Heterogeneous Preferences and Investments in Energy Saving Measures," TWI Research Paper Series 95, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    8. Volland, Benjamin, 2017. "The role of risk and trust attitudes in explaining residential energy demand: Evidence from the United Kingdom," Ecological Economics, Elsevier, vol. 132(C), pages 14-30.
    9. Qiu, Yueming & Colson, Gregory & Wetzstein, Michael E., 2017. "Risk preference and adverse selection for participation in time-of-use electricity pricing programs," Resource and Energy Economics, Elsevier, vol. 47(C), pages 126-142.
    10. Jia, Jun-Jun & Xu, Jin-Hua & Fan, Ying, 2018. "Public acceptance of household energy-saving measures in Beijing: Heterogeneous preferences and policy implications," Energy Policy, Elsevier, vol. 113(C), pages 487-499.
    11. Ivan Tilov & Benjamin Volland & Mehdi Farsi, 2017. "Interactions in Swiss Households' Energy Demand: A Holistic Approach," IRENE Working Papers 17-11, IRENE Institute of Economic Research.
    12. Zack Dorner & Daniel A. Brent & Anke Leroux, 2016. "Preferences for Intrinsically Risky Attributes," Monash Economics Working Papers 32-16, Monash University, Department of Economics.
    13. Christoph Bühren & Maria Daskalakis, 2015. "Do not incentivize eco-friendly behavior - Go for a competition to go green!," MAGKS Papers on Economics 201534, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    14. Cristina Cattaneo, 2018. "Internal and External Barriers to Energy Efficiency: Made-to-Measure Policy Interventions," Working Papers 2018.08, Fondazione Eni Enrico Mattei.
    15. Dorner, Zach & Brent, Daniel A. & Leroux, Anke, 2016. "Eliciting Risk Preferences for Intrinsic Attributes," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236644, Agricultural and Applied Economics Association.
    16. Jing Liang & Yueming Qiu & Poornima Padmanabhan, 2017. "Consumers’ Attitudes towards Surcharges on Distributed Renewable Energy Generation and Energy Efficiency Programs," Sustainability, MDPI, Open Access Journal, vol. 9(8), pages 1-23, August.
    17. Qiu, Yueming & Wang, Yi David & Wang, Jianfeng, 2017. "Soak up the sun: Impact of solar energy systems on residential home values in Arizona," Energy Economics, Elsevier, vol. 66(C), pages 328-336.

  7. Yueming Qiu, 2014. "Energy Efficiency and Rebound Effects: An Econometric Analysis of Energy Demand in the Commercial Building Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(2), pages 295-335, October.

    Cited by:

    1. Li, Huan & Carrión-Flores, Carmen E., 2017. "An analysis of the ENERGY STAR® program in Alachua County, Florida," Ecological Economics, Elsevier, vol. 131(C), pages 98-108.
    2. 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.
    3. Sun, Bixuan, 2018. "Heterogeneous direct rebound effect: Theory and evidence from the Energy Star program," Energy Economics, Elsevier, vol. 69(C), pages 335-349.

  8. Qiu, Yueming & Ortolano, Leonard & David Wang, Yi, 2013. "Factors influencing the technology upgrading and catch-up of Chinese wind turbine manufacturers: Technology acquisition mechanisms and government policies," Energy Policy, Elsevier, vol. 55(C), pages 305-316.

    Cited by:

    1. Xia, Fang & Song, Feng, 2017. "The uneven development of wind power in China: Determinants and the role of supporting policies," Energy Economics, Elsevier, vol. 67(C), pages 278-286.
    2. Nnaemeka Vincent Emodi & Girish Panchakshara Murthy & Chinenye Comfort Emodi & Adaeze Saratu Augusta Emodi, 2017. "Factors Influencing Innovation and Industrial Performance in Chinese Manufacturing Industry," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1-32, December.
    3. Yoonhwan Oh & Jungsub Yoon & Jeong-Dong Lee, 2016. "Evolutionary Patterns of Renewable Energy Technology Development in East Asia (1990–2010)," Sustainability, MDPI, Open Access Journal, vol. 8(8), pages 1-24, July.
    4. Dabo Guan & David M. Reiner & Zhu Liu, 2014. "China’s road to a global scientific powerhouse," Cambridge Working Papers in Economics 1447, Faculty of Economics, University of Cambridge.
    5. Zhao, Zhen-yu & Sun, Guang-zheng & Zuo, Jian & Zillante, George, 2013. "The impact of international forces on the Chinese wind power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 131-141.

  9. Qiu, Yueming & Anadon, Laura D., 2012. "The price of wind power in China during its expansion: Technology adoption, learning-by-doing, economies of scale, and manufacturing localization," Energy Economics, Elsevier, vol. 34(3), pages 772-785.

    Cited by:

    1. Wilson, Charlie, 2012. "Up-scaling, formative phases, and learning in the historical diffusion of energy technologies," Energy Policy, Elsevier, vol. 50(C), pages 81-94.
    2. Zhao, Zhen-Yu & Li, Zhi-Wei & Xia, Bo, 2014. "The impact of the CDM (clean development mechanism) on the cost price of wind power electricity: A China study," Energy, Elsevier, vol. 69(C), pages 179-185.
    3. Ederer, Nikolaus, 2015. "Evaluating capital and operating cost efficiency of offshore wind farms: A DEA approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1034-1046.
    4. Juliana Subtil Lacerda & Jeroen C. J. M. van den Bergh, 2014. "International Diffusion of Renewable Energy Innovations: Lessons from the Lead Markets for Wind Power in China, Germany and USA," Energies, MDPI, Open Access Journal, vol. 7(12), pages 1-28, December.
    5. Huesca-Pérez, María Elena & Sheinbaum-Pardo, Claudia & Köppel, Johann, 2016. "Social implications of siting wind energy in a disadvantaged region – The case of the Isthmus of Tehuantepec, Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 952-965.
    6. Trappey, Amy J.C. & Trappey, Charles V. & Liu, Penny H.Y. & Lin, Lee-Cheng & Ou, Jerry J.R., 2013. "A hierarchical cost learning model for developing wind energy infrastructures," International Journal of Production Economics, Elsevier, vol. 146(2), pages 386-391.
    7. Xiaodong Wang & Luiz Barroso & Gabriela Elizondo, 2014. "Promoting Renewable Energy through Auctions : The Case of China," World Bank Other Operational Studies 18676, The World Bank.
    8. Yu, Yang & Li, Hong & Che, Yuyuan & Zheng, Qiongjie, 2017. "The price evolution of wind turbines in China: A study based on the modified multi-factor learning curve," Renewable Energy, Elsevier, vol. 103(C), pages 522-536.
    9. Tian Tang & David Popp, 2014. "The Learning Process and Technological Change in Wind Power: Evidence from China's CDM Wind Projects," NBER Working Papers 19921, National Bureau of Economic Research, Inc.
    10. Williams, Eric & Hittinger, Eric & Carvalho, Rexon & Williams, Ryan, 2017. "Wind power costs expected to decrease due to technological progress," Energy Policy, Elsevier, vol. 106(C), pages 427-435.
    11. Lam, Long T. & Branstetter, Lee & Azevedo, Inês M.L., 2017. "China's wind industry: Leading in deployment, lagging in innovation," Energy Policy, Elsevier, vol. 106(C), pages 588-599.
    12. Wei, Max & Smith, Sarah J. & Sohn, Michael D., 2017. "Experience curve development and cost reduction disaggregation for fuel cell markets in Japan and the US," Applied Energy, Elsevier, vol. 191(C), pages 346-357.
    13. Wüstemeyer, Christoph & Madlener, Reinhard & Bunn, Derek W., 2015. "A stakeholder analysis of divergent supply-chain trends for the European onshore and offshore wind installations," Energy Policy, Elsevier, vol. 80(C), pages 36-44.
    14. Santen, Nidhi R. & Anadon, Laura Diaz, 2016. "Balancing solar PV deployment and RD&D: A comprehensive framework for managing innovation uncertainty in electricity technology investment planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 560-569.
    15. Partridge, Ian, 2013. "Renewable electricity generation in India—A learning rate analysis," Energy Policy, Elsevier, vol. 60(C), pages 906-915.
    16. Xia, Fang & Song, Feng, 2017. "The uneven development of wind power in China: Determinants and the role of supporting policies," Energy Economics, Elsevier, vol. 67(C), pages 278-286.
    17. Tian Tang & David Popp, 2014. "The Learning Process and Technological Change in Wind Power: Evidence from China's CDM Wind Projects," CESifo Working Paper Series 4705, CESifo Group Munich.
    18. Zheng, Cheng & Kammen, Daniel M., 2014. "An innovation-focused roadmap for a sustainable global photovoltaic industry," Energy Policy, Elsevier, vol. 67(C), pages 159-169.
    19. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
    20. 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.
    21. Zifa Liu & Wenhua Zhang & Changhong Zhao & Jiahai Yuan, 2015. "The Economics of Wind Power in China and Policy Implications," Energies, MDPI, Open Access Journal, vol. 8(2), pages 1-18, February.
    22. Agaton, Casper, 2017. "Real Options Analysis of Renewable Energy Investment Scenarios in the Philippines," MPRA Paper 83478, University Library of Munich, Germany.
    23. Hayward, Jennifer A. & Graham, Paul W., 2013. "A global and local endogenous experience curve model for projecting future uptake and cost of electricity generation technologies," Energy Economics, Elsevier, vol. 40(C), pages 537-548.
    24. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, Open Access Journal, vol. 9(11), pages 1-25, November.
    25. Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
    26. Valentine, Scott Victor, 2014. "The socio-political economy of electricity generation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 416-429.
    27. Choi, Hyundo & Anadón, Laura Díaz, 2014. "The role of the complementary sector and its relationship with network formation and government policies in emerging sectors: The case of solar photovoltaics between 2001 and 2009," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 80-94.
    28. Wu, X.D. & Yang, Q. & Chen, G.Q. & Hayat, T. & Alsaedi, A., 2016. "Progress and prospect of CCS in China: Using learning curve to assess the cost-viability of a 2×600MW retrofitted oxyfuel power plant as a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1274-1285.
    29. Kyeongsik Yoo & Eunil Park & Heetae Kim & Jay Y. Ohm & Taeyong Yang & Ki Joon Kim & Hyun Joon Chang & Angel P. del Pobil, 2014. "Optimized Renewable and Sustainable Electricity Generation Systems for Ulleungdo Island in South Korea," Sustainability, MDPI, Open Access Journal, vol. 6(11), pages 1-11, November.
    30. Mudasser, Muhammad & Yiridoe, Emmanuel K. & Corscadden, Kenneth, 2015. "Cost-benefit analysis of grid-connected wind–biogas hybrid energy production, by turbine capacity and site," Renewable Energy, Elsevier, vol. 80(C), pages 573-582.
    31. Lam, J.C.K. & Woo, C.K. & Kahrl, F. & Yu, W.K., 2013. "What moves wind energy development in China? Show me the money!," Applied Energy, Elsevier, vol. 105(C), pages 423-429.
    32. Zhao, Zhen-yu & Sun, Guang-zheng & Zuo, Jian & Zillante, George, 2013. "The impact of international forces on the Chinese wind power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 131-141.
    33. 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.
    34. Bhutto, Abdul Waheed & Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2013. "Greener energy: Issues and challenges for Pakistan—wind power prospective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 519-538.
    35. Guo, Yue & Ru, Peng & Su, Jun & Anadon, Laura Diaz, 2015. "Not in my backyard, but not far away from me: Local acceptance of wind power in China," Energy, Elsevier, vol. 82(C), pages 722-733.
    36. Oleg MARGINA & Cristina Maria PARTAL, 2013. "Iron And Steel Industry’S Perspective For Wind Power 20," Proceedings of Administration and Public Management International Conference, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 9(1), pages 289-297, June.
    37. Smita Kuriakose & Joanna Lewis & Jeremy Tamanini & Shahid Yusuf, 2017. "Accelerating Innovation in China’s Solar, Wind and Energy Storage Sectors," World Bank Other Operational Studies 28573, The World Bank.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Yueming Qiu should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.