K. J. Arrow, The Economic Implications of Learning by Doing, The Review of Economic Studies, vol.29, issue.3, pp.155-173, 1962.
DOI : 10.2307/2295952

V. Bosetti, . Catenacci, . Michela, . Fiorese, . Giulia et al., The Future Prospect of PV and CSP Solar Technologies, 2012.
DOI : 10.4337/9781782546474.00009

K. Branker, M. J. Pathaka, and J. M. Pearce, A review of photovoltaic levelized cost of electricity. Renewable and sustainable energy review, pp.15-4470, 2011.

G. D. Cody and T. Tiedje, A learning curve approach to projecting cost and performance for photovoltaic technologies, Proceedings of the First Conference on Future Generation Photovoltaic Technologies, 1997.

A. De-la-tour, M. Glachant, and Y. Ménière, Innovation and international technology transfer: The case of the Chinese photovoltaic industry, Energy Policy, vol.39, issue.2, pp.761-770, 2011.
DOI : 10.1016/j.enpol.2010.10.050

URL : https://hal.archives-ouvertes.fr/hal-00498578

A. Dechezleprêtre, M. Glachant, I. Ha??i?, N. Johnstone, and Y. Ménière, Invention and Transfer of Climate Change-Mitigation Technologies: A Global Analysis, Review of Environmental Economics and Policy, vol.5, issue.1, 2011.
DOI : 10.1093/reep/req023

J. Dutton and A. Thomas, Treating progress functions as a managerial opportunity, The Academy of Management Review, vol.9, issue.2, pp.235-247, 1984.

F. Ferioli, K. Schoots, and B. C. Van-der-zwaan, Use and limitations of learning curves for energy technology policy: A component-learning hypothesis, Energy Policy, vol.37, issue.7, pp.2525-2535, 2009.
DOI : 10.1016/j.enpol.2008.10.043

A. Flint, Learning Spillovers in the PV Cell Industry, thesis work, 2009.

G. Hall and S. Howell, The experience curve from the economist's perspective, Strategic Management Journal, vol.10, issue.3, p.197, 1985.
DOI : 10.1002/smj.4250060302

N. Iea, Projected cost of generating electricity, International Energy. Agency and OECD Nuclear Energy Agency, 2010.

S. Isoard and A. Soria, Technical change dynamics: evidence from the emerging renewable energy technologies, Energy Economics, vol.23, issue.6, pp.23-2001, 2001.
DOI : 10.1016/S0140-9883(01)00072-X

P. Joskow, Comparing the Costs of Intermittent and Dispatchable Electricity Generating Technologies, American Economic Review, vol.101, issue.3, pp.238-241, 2011.
DOI : 10.1257/aer.101.3.238

L. M. Kamp, E. H. Ruud, C. D. Smits, and . Andriesse, Notions on learning applied to wind turbine development in the Netherlands and Denmark, Notions on learning applied to wind turbine development in the Netherlands and Denmark, pp.1625-1637, 2004.
DOI : 10.1016/S0301-4215(03)00134-4

P. H. Kobos, J. D. Erickson, and T. Drennen, Technological learning and renewable energy costs: implications for US renewable energy policy, Energy Policy, vol.34, issue.13, pp.1645-1658, 2006.
DOI : 10.1016/j.enpol.2004.12.008

J. Köhler, M. Grubb, D. Popp, and O. Edenhofer, The Transition to Endogenous Technical Change in Climate-Economy Models: A Technical Overview to the Innovation Modeling Comparison Project, The Energy Journal, vol.2006, issue.01, 2006.
DOI : 10.5547/ISSN0195-6574-EJ-VolSI2006-NoSI1-2

S. Macdonald, Learning rates for energy technologies, Energy Policy, vol.29, issue.4, pp.255-261, 2001.
DOI : 10.1016/S0301-4215(00)00122-1

P. D. Maycock and G. F. Wakefield, Business analysis of solar photovoltaic conversion, The Conference Record of the 11th IEEE Photovoltaic Specialists Conference, p.252, 1975.

G. F. Nemet, Interim monitoring of cost dynamics for publicly supported energy technologies, Energy Policy, vol.37, issue.3, pp.825-835, 2006.
DOI : 10.1016/j.enpol.2008.10.031

M. Papineau, An economic perspective on experience curves and dynamic economies in renewable energy technologies, Energy Policy, vol.34, issue.4, pp.422-432, 2004.
DOI : 10.1016/j.enpol.2004.06.008

V. Parente, Comments on Experience Curves for PV Modules, Progress in photovoltaics: research and applications, pp.571-574, 2002.

D. Poponi, Analysis of diffusion paths for photovoltaic technology based on experience curves, Solar Energy, vol.74, issue.4, pp.331-340, 2003.
DOI : 10.1016/S0038-092X(03)00151-8

D. Popp, ENTICE: endogenous technological change in the DICE model of global warming, Journal of Environmental Economics and Management, vol.48, issue.1, pp.742-768, 2004.
DOI : 10.1016/j.jeem.2003.09.002

G. J. Schaeffer, A. J. Seebregts, L. W. Beurskens, H. H. Moor, E. A. Alsema et al., Learning from the Sun; Analysis of the use of experience curves for energy policy purposes: The case of photovoltaic power, Final report of the Photex project, 2004.

. Strategies-unlimited, Photovoltaic five-year market forecast, 2002.

&. Sun and . Energy, Z Oversupply ahead, The Solar Silicon Conference, 2011.

R. M. Swanson, A vision for crystalline silicon photovoltaics, Progress in Photovoltaics: Research and Applications, pp.443-453, 2006.
DOI : 10.1002/pip.709

H. Tsuchiya, Photovoltaic cost analysis based on the learning curve, Report, Research Institute for Systems Technology, 1992.

H. Tsuchiya, Learning curve cost analysis for model building of renewable energy in Japan, Proceedings IEA Workshop on Experience Curve for Policy Making?the Case of Energy Technologies, pp.10-11, 1999.

W. G. Van-sark, Introducing errors in progress ratios determined from experience curves, Technological Forecasting and Social Change, vol.75, issue.3, pp.405-415, 2008.
DOI : 10.1016/j.techfore.2007.03.006

W. G. Van-sark, E. A. Alsema, H. M. Junginger, H. H. De-moor, and G. J. Schaeffer, Accuracy of Progress Ratios Determined From Experience Curves: The Case of Crystalline Silicon Photovoltaic Module Technology Development, Progress in photovoltaics: research and applications, pp.441-453, 2008.

R. H. Williams and G. Terzian, A benefit/cost analysis of accelerated development of photovoltaic technology, 1993.

C. F. Yu, How to incorporate input price changes and scale effects into the learning curve? A PV case study, 2008.

C. F. Yu, W. G. Van-sark, and E. A. Alsema, Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects, Renewable and Sustainable Energy Reviews, vol.15, issue.1, pp.324-337, 2011.
DOI : 10.1016/j.rser.2010.09.001