![](data:image/png;base64,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)
Modelización del sector energético boliviano para alcanzar la neutralidad de carbono en
2050, en el marco de la Transición Energética en Bolivia
JOURNAL BOLIVIANO DE CIENCIAS – Vol. 19– Número Especial Energías
ISSN Digital: 2075-8944 ISSN Impreso: 2075-8936
52
Connolly, D., Hund, H., & Mathiesen, B. (2016). Smart Energy Europe: The
technical and economic impact of one potential 100% renewable energy scenario
for the European Union. Renewable and Sustainable Energy Reviews. https://doi.
org/https://doi.org/10.1016/j.rser.2016.02.025
CTC. (2018, Marzo 12). Where Carbon Is Taxed. Retrieved from Carbon Tax
Center: https://www.carbontax.org/where-carbon-is-taxed/
Dixon, J., Bell, K., & Brush, S. (2021). Which way to net zero? a comparative
analysis of seven UK 2050 decarbonisation pathways. Renewable and Sustainable
Energy Transition, 2. https://doi.org/https://doi.org/10.1016/j.rset.2021.100016
Ecofys. (2018). Incentives for Electric Vehicles in Norway. UKI.
ENDE. (2022, January 10). Proyectos ejecutados. Retrieved from Proyectos:
https://www.ende.bo/proyectos/ejecutados
ENDE. (2022, January 10). Proyectos en ejecucion. Retrieved from Proyectos:
https://www.ende.bo/proyectos/ejecucion
ENDE. (2022, January 10). Proyectos en estudio. Retrieved from Proyectos:
https://www.ende.bo/proyectos/estudio
Fernandez, C., Brecha, R., & Fernandez, M. (2022). Analyzing carbon emissions
policies for the Bolivian electric sector. Renewable and Sustainable Energy
Transition, 2. https://doi.org/https://doi.org/10.1016/j.rset.2022.100017
Foster, E., Contestabile, M., Blazquez, J., Manzano, B., Workman, M., & Shah,
N. (2017). The unstudied barriers to widespread renewable energy deployment:
Fossil fuel price responses. Energy Policy, 103, 258-264.
Gagnon, L., & van der Vate, J. (1997). Greenhouse gas emissions from hydropower:
The state of research in 1996. Energy Policy, 25, 7-13.
Gardumi, F., Shivakumar, A., Morrison, R., Taliotis, C., Broad, O., Beltramo, A.,
& Howells, M. (2018). From the development of an open-source energy modelling
tool to its application and the creation of communities of practice: The example
of OSeMOSYS. Energy Strategy Reviews, 20, 209-228. https://doi.org/https://doi.
org/10.1016/j.esr.2018.03.005
Gillingham, K., Keyes, A., & Palmer, K. (2017). Advances in Evaluating Energy
Eciency Policies and Programs. Washington: Resources for the future.
Gujarati, D., & Porter, D. (2010). Econometría. Mexico D. F.: McGraw-Hill .
Hamilton, J. (1994). Time Series Analysis. Princeton University Press.
Haugneland, P., Lorentzen, E., Bu, C., & Hauge, E. (2017). Put a price on carbon
to fund EV incentives – Norwegian EV policy success. EVS30 Symposium.
Horowitz, J., & et. al. (2017). Methodology for Analyzing a Carbon Tax.
of Tax Analysis.
Houghton, J. (2005). Global warming. Reports on Progress in Physics, 1343–
1403.
Howells, M., Rogner, H., Strachan, N., Heaps, C., Huntington, H., Kypreos, S., .
. . Roehrl, A. (2011). OSeMOSYS: The Open Source Energy Modeling System:
An introduction to its ethos, structure and development. Energy Policy, 39, 5850-
5870. https://doi.org/https://doi.org/10.1016/j.enpol.2011.06.033