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Sondès Kahouli
(Sondes Kahouli)

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. Sondès Kahouli, 2020. "An economic approach to the study of the relationship between housing hazards and health: The case of residential fuel poverty in France," Post-Print hal-02467611, HAL.

    Cited by:

    1. Rodriguez-Alvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating energy poverty in Europe: Front-runners and laggards," Energy Economics, Elsevier, vol. 103(C).
    2. Marlena Piekut, 2020. "Patterns of Energy Consumption in Polish One-Person Households," Energies, MDPI, vol. 13(21), pages 1-31, October.
    3. Prakash, Kushneel & Munyanyi, Musharavati Ephraim, 2021. "Energy poverty and obesity," Energy Economics, Elsevier, vol. 101(C).
    4. Davillas, Apostolos & Burlinson, Andrew & Liu, Hui-Hsuan, 2022. "Getting warmer: Fuel poverty, objective and subjective health and well-being," Energy Economics, Elsevier, vol. 106(C).
    5. Meltem Ucal & Simge Günay, 2022. "Household Happiness and Fuel Poverty: a Cross-Sectional Analysis on Turkey," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(1), pages 391-420, February.
    6. Hasheminasab, Hamidreza & Streimikiene, Dalia & Pishahang, Mohammad, 2023. "A novel energy poverty evaluation: Study of the European Union countries," Energy, Elsevier, vol. 264(C).
    7. Okorie, David Iheke & Lin, Boqiang, 2022. "Association of energy poverty and catastrophic health expenditure," Energy, Elsevier, vol. 253(C).
    8. Paudel, Jayash, 2021. "Why Are People Energy Poor? Evidence From Ethnic Fractionalization," Energy Economics, Elsevier, vol. 102(C).
    9. Yun, Na, 2023. "Nexus among carbon intensity and natural resources utilization on economic development: Econometric analysis from China," Resources Policy, Elsevier, vol. 83(C).
    10. Nie, Peng & Li, Qiaoge & Sousa-Poza, Alfonso, 2021. "Energy poverty and subjective well-being in China: New evidence from the China Family Panel Studies," Energy Economics, Elsevier, vol. 103(C).
    11. Nawaz, Saima, 2021. "Energy poverty, climate shocks, and health deprivations," Energy Economics, Elsevier, vol. 100(C).
    12. Lina Volodzkiene & Dalia Streimikiene, 2023. "Energy Inequality Indicators: A Comprehensive Review for Exploring Ways to Reduce Inequality," Energies, MDPI, vol. 16(16), pages 1-28, August.
    13. Alasseur, Clémence & Chaton, Corinne & Hubert, Emma, 2022. "Optimal contracts under adverse selection for staple goods such as energy: Effectiveness of in-kind insurance," Energy Economics, Elsevier, vol. 106(C).
    14. Ren, Yi-Shuai & Jiang, Yong & Narayan, Seema & Ma, Chao-Qun & Yang, Xiao-Guang, 2022. "Marketisation and rural energy poverty: Evidence from provincial panel data in China," Energy Economics, Elsevier, vol. 111(C).
    15. Lilia Karpinska & Sławomir Śmiech, 2021. "Escaping Energy Poverty: A Comparative Analysis of 17 European Countries," Energies, MDPI, vol. 14(18), pages 1-16, September.
    16. Paudel, Jayash, 2021. "Beyond the Blaze: The Impact of Forest Fires on Energy Poverty," Energy Economics, Elsevier, vol. 101(C).
    17. Demetrio Carmona-Derqui & Jonathan Torres-Tellez & Alberto Montero-Soler, 2023. "Effects of Housing Deprivation on Health: Empirical Evidence from Spain," IJERPH, MDPI, vol. 20(3), pages 1-15, January.
    18. Frempong, Raymond Boadi & Orkoh, Emmanuel & Kofinti, Raymond Elikplim, 2021. "Household's use of cooking gas and Children's learning outcomes in rural Ghana," Energy Economics, Elsevier, vol. 103(C).
    19. Rafi, Muhammed & Naseef, Mohemmad & Prasad, Salu, 2021. "Multidimensional energy poverty and human capital development: Empirical evidence from India," Energy Economics, Elsevier, vol. 101(C).
    20. Siksnelyte-Butkiene, Indre & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Addressing sustainability issues in transition to carbon-neutral sustainable society with multi-criteria analysis," Energy, Elsevier, vol. 254(PA).
    21. Halkos, George E. & Gkampoura, Eleni-Christina, 2021. "Evaluating the effect of economic crisis on energy poverty in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    22. Awaworyi Churchill, Sefa & Smyth, Russell, 2021. "Energy poverty and health: Panel data evidence from Australia," Energy Economics, Elsevier, vol. 97(C).
    23. Burlinson, Andrew & Giulietti, Monica & Law, Cherry & Liu, Hui-Hsuan, 2021. "Fuel poverty and financial distress," Energy Economics, Elsevier, vol. 102(C).
    24. Nguyen, Canh Phuc & Nasir, Muhammad Ali, 2021. "An inquiry into the nexus between energy poverty and income inequality in the light of global evidence," Energy Economics, Elsevier, vol. 99(C).
    25. Shi, Hongxu & Xu, Hao & Gao, Wei & Zhang, Jinhao & Chang, Ming, 2022. "The impact of energy poverty on agricultural productivity: The case of China," Energy Policy, Elsevier, vol. 167(C).
    26. Pan, Lei & Biru, Ashenafi & Lettu, Sandra, 2021. "Energy poverty and public health: Global evidence," Energy Economics, Elsevier, vol. 101(C).
    27. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    28. Cheng, Zhiming & Guo, Liwen & Smyth, Russell & Tani, Massimiliano, 2022. "Childhood adversity and energy poverty," Energy Economics, Elsevier, vol. 111(C).
    29. Paudel, Jayash, 2022. "Deadly tornadoes and racial disparities in energy consumption: Implications for energy poverty," Energy Economics, Elsevier, vol. 114(C).
    30. Jun Zhang & Yuang He & Jing Zhang, 2022. "Energy Poverty and Depression in Rural China: Evidence from the Quantile Regression Approach," IJERPH, MDPI, vol. 19(2), pages 1-21, January.
    31. Xie, Lunyu & Hu, Xian & Zhang, Xinyi & Zhang, Xiao-Bing, 2022. "Who suffers from energy poverty in household energy transition? Evidence from clean heating program in rural China," Energy Economics, Elsevier, vol. 106(C).
    32. Prakash, Kushneel & Churchill, Sefa Awaworyi & Smyth, Russell, 2022. "Are you Puffing your Children's Future Away? Energy Poverty and Childhood Exposure to Passive Smoking," GLO Discussion Paper Series 1075, Global Labor Organization (GLO).
    33. Cheng, Zhiming & Tani, Massimiliano & Wang, Haining, 2021. "Energy Poverty and Entrepreneurship," IZA Discussion Papers 14586, Institute of Labor Economics (IZA).
    34. Aweke, Abinet Tilahun & Navrud, Ståle, 2022. "Valuing energy poverty costs: Household welfare loss from electricity blackouts in developing countries," Energy Economics, Elsevier, vol. 109(C).
    35. Heather Brown & Esperanza Vera-Toscano, 2021. "Energy poverty and its relationship with health: empirical evidence on the dynamics of energy poverty and poor health in Australia," SN Business & Economics, Springer, vol. 1(10), pages 1-34, October.
    36. Laura Oliveras & Carme Borrell & Irene González-Pijuan & Mercè Gotsens & María José López & Laia Palència & Lucía Artazcoz & Marc Marí-Dell’Olmo, 2021. "The Association of Energy Poverty with Health and Wellbeing in Children in a Mediterranean City," IJERPH, MDPI, vol. 18(11), pages 1-11, June.
    37. Bhattacharya, Mita & Inekwe, John & Yan, Eric, 2021. "Dynamics of energy poverty: Evidence from nonparametric estimates across the ASEAN+6 region," Energy Economics, Elsevier, vol. 103(C).
    38. Munyanyi, Musharavati Ephraim & Mintah, Kwabena & Baako, Kingsley Tetteh, 2021. "Energy-related deprivation and housing tenure transitions," Energy Economics, Elsevier, vol. 98(C).
    39. Igawa, Moegi & Managi, Shunsuke, 2022. "Energy poverty and income inequality: An economic analysis of 37 countries," Applied Energy, Elsevier, vol. 306(PB).
    40. Igawa, Moegi & Piao, Xiangdan & Managi, Shunsuke, 2022. "The impact of cooling energy needs on subjective well-being: Evidence from Japan," Ecological Economics, Elsevier, vol. 198(C).
    41. Xuefeng Li & Han Yang & Jin Jia, 2022. "Impact of energy poverty on cognitive and mental health among middle-aged and older adults in China," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    42. Banerjee, Rajabrata & Mishra, Vinod & Maruta, Admasu Asfaw, 2021. "Energy poverty, health and education outcomes: Evidence from the developing world," Energy Economics, Elsevier, vol. 101(C).
    43. Awaworyi Churchill, Sefa & Smyth, Russell, 2021. "Locus of control and energy poverty," Energy Economics, Elsevier, vol. 104(C).
    44. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    45. Li, Xue & Smyth, Russell & Yao, Yao, 2023. "Extreme temperatures and out-of-pocket medical expenditure: Evidence from China," China Economic Review, Elsevier, vol. 77(C).
    46. Awan, Ashar & Bilgili, Faik & Rahut, Dil Bahadur, 2022. "Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    47. Kushneel Prakash & Sefa Awaworyi Churchill & Russell Smyth, 2022. "Petrol prices and obesity," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1381-1401, July.
    48. Nie, Peng & Li, Qiaoge, 2022. "Energy Poverty and Health Care Expenditures: Evidence from the China Family Panel Studies," IZA Discussion Papers 15479, Institute of Labor Economics (IZA).
    49. Zhu, Lin & Liao, Hua & Burke, Paul J., 2023. "Household fuel transitions have substantially contributed to child mortality reductions in China," World Development, Elsevier, vol. 164(C).
    50. Li, Xue & Smyth, Russell & Xin, Guangyi & Yao, Yao, 2023. "Warmer temperatures and energy poverty: Evidence from Chinese households," Energy Economics, Elsevier, vol. 120(C).
    51. Koomson, Isaac & Danquah, Michael, 2021. "Financial inclusion and energy poverty: Empirical evidence from Ghana," Energy Economics, Elsevier, vol. 94(C).
    52. Mamidi, Varsha & Marisetty, Vijaya B. & Thomas, Ewan Nikhil, 2021. "Clean energy transition and intertemporal socio-economic development: Evidence from an emerging market," Energy Economics, Elsevier, vol. 101(C).

  2. Florian Fizaine & Sondès Kahouli, 2018. "On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population," Post-Print halshs-01957436, HAL.

    Cited by:

    1. Keran Sarah Boyd & Christian Calvillo & Tanja Mueller & Xiaoyi Mu & Tong Zhu, 2023. "The Intersection of Fuel and Transport Policy in Scotland: A Review of Policy, Definitions and Metrics," Energies, MDPI, vol. 16(13), pages 1-14, June.
    2. Marlena Piekut, 2020. "Patterns of Energy Consumption in Polish One-Person Households," Energies, MDPI, vol. 13(21), pages 1-31, October.
    3. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    4. Huang, Luling & Nock, Destenie & Cong, Shuchen & Qiu, Yueming (Lucy), 2023. "Inequalities across cooling and heating in households: Energy equity gaps," Energy Policy, Elsevier, vol. 182(C).
    5. Yun, Na, 2023. "Nexus among carbon intensity and natural resources utilization on economic development: Econometric analysis from China," Resources Policy, Elsevier, vol. 83(C).
    6. Dorothée Charlier & Sondès Kahouli, 2018. "From residential energy demand to fuel poverty: income-induced non-linearities in the reactions of households to energy price fluctuations," Working Papers 2018.11, FAERE - French Association of Environmental and Resource Economists.
    7. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    8. Siksnelyte-Butkiene, Indre & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Addressing sustainability issues in transition to carbon-neutral sustainable society with multi-criteria analysis," Energy, Elsevier, vol. 254(PA).
    9. Charlier, Dorothée, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Energy Policy, Elsevier, vol. 156(C).
    10. Moore, David & Webb, Amanda L., 2022. "Evaluating energy burden at the urban scale: A spatial regression approach in Cincinnati, Ohio," Energy Policy, Elsevier, vol. 160(C).
    11. Indre Siksnelyte-Butkiene, 2021. "A Systematic Literature Review of Indices for Energy Poverty Assessment: A Household Perspective," Sustainability, MDPI, vol. 13(19), pages 1-27, September.
    12. Charlier, Dorothée & Legendre, Bérangère & Ricci, Olivia, 2021. "Measuring fuel poverty in tropical territories: A latent class model," World Development, Elsevier, vol. 140(C).
    13. Pedro Macedo & Mara Madaleno & Victor Moutinho, 2022. "A New Composite Indicator for Assessing Energy Poverty Using Normalized Entropy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(3), pages 1139-1163, October.
    14. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    15. Kahouli, Sondès, 2020. "An economic approach to the study of the relationship between housing hazards and health: The case of residential fuel poverty in France," Energy Economics, Elsevier, vol. 85(C).
    16. Kelly, J. Andrew & Clinch, J. Peter & Kelleher, L. & Shahab, S., 2020. "Enabling a just transition: A composite indicator for assessing home-heating energy-poverty risk and the impact of environmental policy measures," Energy Policy, Elsevier, vol. 146(C).
    17. Rodriguez-Alvarez, Ana & Orea, Luis & Jamasb, Tooraj, 2019. "Fuel poverty and Well-Being:A consumer theory and stochastic frontier approach," Energy Policy, Elsevier, vol. 131(C), pages 22-32.
    18. Agbim, Chinelo & Araya, Felipe & Faust, Kasey M. & Harmon, Dana, 2020. "Subjective versus objective energy burden: A look at drivers of different metrics and regional variation of energy poor populations," Energy Policy, Elsevier, vol. 144(C).
    19. Cheng, Zhiming & Tani, Massimiliano & Wang, Haining, 2021. "Energy Poverty and Entrepreneurship," IZA Discussion Papers 14586, Institute of Labor Economics (IZA).
    20. Chesser, Michael & Hanly, Jim & Cassells, Damien & Berrill, Jenny, 2022. "Fuel poverty measurements in residential America. Who are the most vulnerable?," Finance Research Letters, Elsevier, vol. 50(C).
    21. Okushima, Shinichiro, 2021. "Energy poor need more energy, but do they need more carbon? Evaluation of people's basic carbon needs," Ecological Economics, Elsevier, vol. 187(C).
    22. Dorothée Charlier, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Post-Print hal-03894155, HAL.
    23. Liang, Shuai & Wang, Peng & Jia, Cunlu & Zhu, Jialan, 2023. "Studying green financing, factor allocation efficiency, and regional productivity growth in renewable energy industries," Renewable Energy, Elsevier, vol. 214(C), pages 130-139.
    24. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    25. Deller, David & Turner, Glen & Waddams Price, Catherine, 2021. "Energy poverty indicators: Inconsistencies, implications and where next?," Energy Economics, Elsevier, vol. 103(C).

  3. Dorothée Charlier & Sondès Kahouli, 2018. "From residential energy demand to fuel poverty: income-induced non-linearities in the reactions of households to energy price fluctuations," Policy Papers 2018.06, FAERE - French Association of Environmental and Resource Economists.

    Cited by:

    1. Simshauser, Paul, 2021. "Vulnerable households and fuel poverty: Measuring the efficiency of policy targeting in Queensland," Energy Economics, Elsevier, vol. 101(C).
    2. Marko Milojević & Paweł Nowodziński & Ivica Terzić & Svetlana Danshina, 2021. "Households’ Energy Autonomy: Risks or Benefits for a State?," Energies, MDPI, vol. 14(7), pages 1-16, April.
    3. Romanic Baudu & Dorothée Charlier & Bérangère Legendre, 2020. "Fuel Poverty and Health: a Panel Data Analysis," Working Papers 2020.04, FAERE - French Association of Environmental and Resource Economists.
    4. Paul Simshauser, 2022. "The 2022 energy crisis: horizontal and vertical impacts of policy interventions in Australia's national electricity market," Working Papers EPRG2216, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    5. Dorothée CHARLIER & Mouez FODHA & Djamel KIRAT, 2021. "CO2 Emissions from the Residential Sector in Europe: Some Insights form a Country-Level Assessment," LEO Working Papers / DR LEO 2849, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    6. Mathilde Fajardy & David Reiner, 2020. "An overview of the electrification of residential and commercial heating and cooling and prospects for decarbonisation," Working Papers EPGR2037, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    7. Yuxiang Xie & E. Xie, 2023. "Measuring and Analyzing the Welfare Effects of Energy Poverty in Rural China Based on a Multi-Dimensional Energy Poverty Index," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    8. Xue, Yan & Hu, Dongmei & Irfan, Muhammad & Wu, Haitao & Hao, Yu, 2023. "Natural resources policy making through finance? The role of green finance on energy resources poverty," Resources Policy, Elsevier, vol. 85(PA).
    9. Boqiang Lin & Kai Wei, 2022. "Does Use of Solid Cooking Fuels Increase Family Medical Expenses in China?," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    10. Simshauser, P., 2021. "Vulnerable households and fuel poverty: policy targeting efficiency in Australia’s National Electricity Market," Cambridge Working Papers in Economics 2129, Faculty of Economics, University of Cambridge.
    11. Elena Smirnova & Katarzyna Szczepańska-Woszczyna & Saltanat Yessetova & Vadim Samusenkov & Rodion Rogulin, 2021. "Supplying Energy to Vulnerable Segments of the Population: Macro-Financial Risks and Public Welfare," Energies, MDPI, vol. 14(7), pages 1-18, March.
    12. Donia Aloui & Stéphane Goutte & Khaled Guesmi & Rafla Hchaichi, 2020. "COVID 19's impact on crude oil and natural gas S&P GS Indexes," Working Papers halshs-02613280, HAL.
    13. Lin, Boqiang & Wang, Yao, 2020. "Analyzing the elasticity and subsidy to reform the residential electricity tariffs in China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 189-206.
    14. Siksnelyte-Butkiene, Indre & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Addressing sustainability issues in transition to carbon-neutral sustainable society with multi-criteria analysis," Energy, Elsevier, vol. 254(PA).
    15. Blanka Tundys & Agnieszka Bretyn & Maciej Urbaniak, 2021. "Energy Poverty and Sustainable Economic Development: An Exploration of Correlations and Interdependencies in European Countries," Energies, MDPI, vol. 14(22), pages 1-25, November.
    16. Burlinson, Andrew & Giulietti, Monica & Law, Cherry & Liu, Hui-Hsuan, 2021. "Fuel poverty and financial distress," Energy Economics, Elsevier, vol. 102(C).
    17. Ma, Cong & Cheok, Mui Yee & Chok, Nyen Vui, 2023. "Economic recovery through multisector management resources in small and medium businesses in China," Resources Policy, Elsevier, vol. 80(C).
    18. Ivana Rogulj & Marco Peretto & Vlasios Oikonomou & Shima Ebrahimigharehbaghi & Christos Tourkolias, 2023. "Decarbonisation Policies in the Residential Sector and Energy Poverty: Mitigation Strategies and Impacts in Central and Southern Eastern Europe," Energies, MDPI, vol. 16(14), pages 1-21, July.
    19. Pan, Lei & Biru, Ashenafi & Lettu, Sandra, 2021. "Energy poverty and public health: Global evidence," Energy Economics, Elsevier, vol. 101(C).
    20. Charlier, Dorothée & Legendre, Bérangère & Ricci, Olivia, 2021. "Measuring fuel poverty in tropical territories: A latent class model," World Development, Elsevier, vol. 140(C).
    21. Dong, Chunlong & Wu, Hao & Zhou, Jianwen & Lin, Huifang & Chang, Lei, 2023. "Role of renewable energy investment and geopolitical risk in green finance development: Empirical evidence from BRICS countries," Renewable Energy, Elsevier, vol. 207(C), pages 234-241.
    22. Kahouli, Sondès, 2020. "An economic approach to the study of the relationship between housing hazards and health: The case of residential fuel poverty in France," Energy Economics, Elsevier, vol. 85(C).
    23. Lin, Boqiang & Wang, Yao, 2020. "Does energy poverty really exist in China? From the perspective of residential electricity consumption," Energy Policy, Elsevier, vol. 143(C).
    24. Dorothée Charlier & Bérangère Legendre, 2021. "Carbon Dioxide Emissions and Aging: Disentangling Behavior from Energy Efficiency," Post-Print hal-03877220, HAL.
    25. Chang, Lei & Gan, Xiaojun & Mohsin, Muhammad, 2022. "Studying corporate liquidity and regulatory responses for economic recovery in COVID-19 crises," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 211-225.
    26. Ma, Cong & Cheok, Mui Yee, 2022. "The impact of financing role and organizational culture in small and medium enterprises: Developing business strategies for economic recovery," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 26-38.
    27. Dorothée Charlier & Bérangère Legendre, 2020. "Carbon Dioxide Emissions and aging: Disentangling behavior from energy efficiency," Working Papers 2020.13, FAERE - French Association of Environmental and Resource Economists.
    28. Agnieszka Biernat-Jarka & Paulina Trębska & Sławomir Jarka, 2021. "The Role of Renewable Energy Sources in Alleviating Energy Poverty in Households in Poland," Energies, MDPI, vol. 14(10), pages 1-21, May.
    29. Wang, Yao & Lin, Boqiang, 2022. "Can energy poverty be alleviated by targeting the low income? Constructing a multidimensional energy poverty index in China," Applied Energy, Elsevier, vol. 321(C).
    30. Simshauser, Paul, 2023. "The 2022 energy crisis: Fuel poverty and the impact of policy interventions in Australia's National Electricity Market," Energy Economics, Elsevier, vol. 121(C).
    31. Dalia Streimikiene & Grigorios L. Kyriakopoulos & Vidas Lekavicius & Indre Siksnelyte-Butkiene, 2021. "Energy Poverty and Low Carbon Just Energy Transition: Comparative Study in Lithuania and Greece," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(1), pages 319-371, November.
    32. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    33. Deller, David & Turner, Glen & Waddams Price, Catherine, 2021. "Energy poverty indicators: Inconsistencies, implications and where next?," Energy Economics, Elsevier, vol. 103(C).

  4. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.

    Cited by:

    1. Marlena Piekut, 2020. "Patterns of Energy Consumption in Polish One-Person Households," Energies, MDPI, vol. 13(21), pages 1-31, October.

  5. Florian Fizaine & Sondès Kahouli, 2018. "On the power of indicators: how the choice of the fuel poverty measure affects the identification of the target population," Policy Papers 2018.01, FAERE - French Association of Environmental and Resource Economists.

    Cited by:

    1. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    2. Dorothée Charlier & Sondès Kahouli, 2018. "From residential energy demand to fuel poverty: income-induced non-linearities in the reactions of households to energy price fluctuations," Working Papers 2018.11, FAERE - French Association of Environmental and Resource Economists.
    3. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    4. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    5. Rodriguez-Alvarez, Ana & Orea, Luis & Jamasb, Tooraj, 2019. "Fuel poverty and Well-Being:A consumer theory and stochastic frontier approach," Energy Policy, Elsevier, vol. 131(C), pages 22-32.

Articles

  1. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).

    Cited by:

    1. Wang, Ying & Wang, Yong & Shahbaz, Muhammad, 2023. "How does digital economy affect energy poverty? Analysis from the global perspective," Energy, Elsevier, vol. 282(C).
    2. Lisa Bagnoli & Salvador Bertoméu-Sánchez, 2022. "How effective has the electricity social rate been in reducing energy poverty in Spain?," ULB Institutional Repository 2013/337493, ULB -- Universite Libre de Bruxelles.
    3. Magdalena Cyrek & Piotr Cyrek, 2022. "Rural Specificity as a Factor Influencing Energy Poverty in European Union Countries," Energies, MDPI, vol. 15(15), pages 1-24, July.
    4. Ren, Yi-Shuai & Jiang, Yong & Narayan, Seema & Ma, Chao-Qun & Yang, Xiao-Guang, 2022. "Marketisation and rural energy poverty: Evidence from provincial panel data in China," Energy Economics, Elsevier, vol. 111(C).
    5. Xue, Yan & Hu, Dongmei & Irfan, Muhammad & Wu, Haitao & Hao, Yu, 2023. "Natural resources policy making through finance? The role of green finance on energy resources poverty," Resources Policy, Elsevier, vol. 85(PA).
    6. Bai, Xiao & Wang, Kuan-Ting & Tran, Trung Kien & Sadiq, Muhammad & Trung, Lam Minh & Khudoykulov, Khurshid, 2022. "Measuring China’s green economic recovery and energy environment sustainability: Econometric analysis of sustainable development goals," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 768-779.
    7. Lan, Jing & Khan, Sufyan Ullah & Sadiq, Muhammad & Chien, Fengsheng & Baloch, Zulfiqar Ali, 2022. "Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia," Energy Policy, Elsevier, vol. 165(C).
    8. Ma, Cong & Cheok, Mui Yee & Chok, Nyen Vui, 2023. "Economic recovery through multisector management resources in small and medium businesses in China," Resources Policy, Elsevier, vol. 80(C).
    9. Chang, Lei & Gan, Xiaojun & Mohsin, Muhammad, 2022. "Studying corporate liquidity and regulatory responses for economic recovery in COVID-19 crises," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 211-225.
    10. Ma, Cong & Cheok, Mui Yee, 2022. "The impact of financing role and organizational culture in small and medium enterprises: Developing business strategies for economic recovery," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 26-38.
    11. Badr Eddine Lebrouhi & Eric Schall & Bilal Lamrani & Yassine Chaibi & Tarik Kousksou, 2022. "Energy Transition in France," Sustainability, MDPI, vol. 14(10), pages 1-28, May.
    12. Badr Eddine Lebrouhi & Éric Schall & Bilal Lamrani & Yassine Chaibi & Tarik Kousksou, 2022. "Energy Transition in France," Post-Print hal-03716839, HAL.
    13. Ren, Zhiyuan & Zhu, Yuhan & Jin, Canyang & Xu, Aiting, 2023. "Social capital and energy poverty: Empirical evidence from China," Energy, Elsevier, vol. 267(C).

  2. Kahouli, Sondès, 2020. "An economic approach to the study of the relationship between housing hazards and health: The case of residential fuel poverty in France," Energy Economics, Elsevier, vol. 85(C).
    See citations under working paper version above.
  3. Florian Fizaine & Sondès Kahouli, 2019. "On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population," Applied Economics, Taylor & Francis Journals, vol. 51(11), pages 1081-1110, March.
    See citations under working paper version above.
  4. 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.

    Cited by:

    1. Xiao, Jin & Li, Guohao & Xie, Ling & Wang, Shouyang & Yu, Lean, 2021. "Decarbonizing China's power sector by 2030 with consideration of technological progress and cross-regional power transmission," Energy Policy, Elsevier, vol. 150(C).
    2. Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023. "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, vol. 125(C).
    3. Lunde, Asger & Sandberg, Rickard & Söderberg, Magnus, 2019. "Calculating the damage of a cartel subject to transition periods: The international uranium cartel in the 1970s," Energy Economics, Elsevier, vol. 84(C).
    4. Zirui Wang & Wanli Xing, 2022. "Study on the Characteristics and Evolution Trends of Global Uranium Resource Trade from the Perspective of a Complex Network," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    5. Portugal-Pereira, J. & Ferreira, P. & Cunha, J. & Szklo, A. & Schaeffer, R. & Araújo, M., 2018. "Better late than never, but never late is better: Risk assessment of nuclear power construction projects," Energy Policy, Elsevier, vol. 120(C), pages 158-166.
    6. Rooney, Matthew & Nuttall, William J. & Kazantzis, Nikolaos, 2015. "A dynamic model of the global uranium market and the nuclear fuel cycle," Resources Policy, Elsevier, vol. 43(C), pages 50-60.
    7. Adela Conchado & Pedro Linares, 2010. "The Economics of New Nuclear Power Plants in Liberalized Electricity Markets," Working Papers 04-2010, Economics for Energy.
    8. Lovering, Jessica R. & Yip, Arthur & Nordhaus, Ted, 2016. "Historical construction costs of global nuclear power reactors," Energy Policy, Elsevier, vol. 91(C), pages 371-382.
    9. Elia, A. & Kamidelivand, M. & Rogan, F. & Ó Gallachóir, B., 2021. "Impacts of innovation on renewable energy technology cost reductions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    10. 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.

  5. Kahouli, Sondès, 2011. "Re-examining uranium supply and demand: New insights," Energy Policy, Elsevier, vol. 39(1), pages 358-376, January.

    Cited by:

    1. Xia, Tongshui & Ji, Qiang & Geng, Jiang-Bo, 2020. "Nonlinear dependence and information spillover between electricity and fuel source markets: New evidence from a multi-scale analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    2. Zirui Wang & Wanli Xing, 2022. "Study on the Characteristics and Evolution Trends of Global Uranium Resource Trade from the Perspective of a Complex Network," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    3. Considine, Timothy J., 2019. "The market impacts of US uranium import quotas," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    4. Jordan, Brett W. & Eggert, Roderick G. & Dixon, Brent W. & Carlsen, Brett W., 2015. "Thorium: Crustal abundance, joint production, and economic availability," Resources Policy, Elsevier, vol. 44(C), pages 81-93.
    5. Rob Aalbers & Victoria Shestalova & Viktoria Kocsis, 2012. "Innovation policy for directing technical change in the power sector," CPB Discussion Paper 223, CPB Netherlands Bureau for Economic Policy Analysis.
    6. Sun, Mei & Zhang, Pei-Pei & Shan, Tian-Hua & Fang, Cui-Cui & Wang, Xiao-Fang & Tian, Li-Xin, 2012. "Research on the evolution model of an energy supply–demand network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(19), pages 4506-4516.
    7. Aalbers, Rob & Shestalova, Victoria & Kocsis, Viktória, 2013. "Innovation policy for directing technical change in the power sector," Energy Policy, Elsevier, vol. 63(C), pages 1240-1250.
    8. Roman Mendelevitch & Thanh Thien Dang, 2016. "Nuclear Power and the Uranium Market: Are Reserves and Resources Sufficient?," DIW Roundup: Politik im Fokus 98, DIW Berlin, German Institute for Economic Research.
    9. Arnaut, Javier L., 2022. "The importance of uranium prices and structural shocks: Some implications for Greenland," Energy Policy, Elsevier, vol. 161(C).
    10. Manuel Landajo & María José Presno & Paula Fernández González, 2021. "Stationarity in the Prices of Energy Commodities. A Nonparametric Approach," Energies, MDPI, vol. 14(11), pages 1-16, June.

  6. 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.

    Cited by:

    1. Lehmann, Paul, 2013. "Supplementing an emissions tax by a feed-in tariff for renewable electricity to address learning spillovers," Energy Policy, Elsevier, vol. 61(C), pages 635-641.
    2. Lehmann, Paul & Gawel, Erik, 2011. "Why should support schemes for renewable electricity complement the EU emissions trading scheme?," UFZ Discussion Papers 5/2011, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    3. Sung, Bongsuk, 2019. "Do government subsidies promote firm-level innovation? Evidence from the Korean renewable energy technology industry," Energy Policy, Elsevier, vol. 132(C), pages 1333-1344.
    4. Bongsuk Sung & Woo-Yong Song, 2017. "Does Dynamic Efficiency of Public Policy Promote Export Prformance? Evidence from Bioenergy Technology Sector," Energies, MDPI, vol. 10(12), pages 1-18, December.
    5. Mauleón, Ignacio, 2016. "Photovoltaic learning rate estimation: Issues and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 507-524.
    6. Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
    7. 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.
    8. Díaz, Guzmán & Moreno, Blanca & Coto, José & Gómez-Aleixandre, Javier, 2015. "Valuation of wind power distributed generation by using Longstaff–Schwartz option pricing method," Applied Energy, Elsevier, vol. 145(C), pages 223-233.
    9. Dafermos, Yannis & Nikolaidi, Maria & Galanis, Giorgos, 2018. "Climate change, financial stability and monetary policy," Greenwich Papers in Political Economy 19966, University of Greenwich, Greenwich Political Economy Research Centre.
    10. Iman Miremadi & Yadollah Saboohi, 2018. "Planning for Investment in Energy Innovation: Developing an Analytical Tool to Explore the Impact of Knowledge Flow," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 7-19.
    11. Bongsuk Sung & Myoung Shik Choi & Woo-Yong Song, 2019. "Exploring the Effects of Government Policies on Economic Performance: Evidence Using Panel Data for Korean Renewable Energy Technology Firms," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    12. 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.
    13. Yu, C.F. & van Sark, W.G.J.H.M. & Alsema, E.A., 2011. "Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 324-337, January.
    14. Bointner, Raphael, 2014. "Innovation in the energy sector: Lessons learnt from R&D expenditures and patents in selected IEA countries," Energy Policy, Elsevier, vol. 73(C), pages 733-747.
    15. Bongsuk Sung & Myung-Bae Yeom & Hong-Gi Kim, 2017. "Eco-Efficiency of Government Policy and Exports in the Bioenergy Technology Market," Sustainability, MDPI, vol. 9(9), pages 1-18, September.
    16. Bongsuk Sung & Cui Wen, 2018. "Causal Dynamic Relationships between Political–Economic Factors and Export Performance in the Renewable Energy Technologies Market," Energies, MDPI, vol. 11(4), pages 1-18, April.
    17. Lin, Boqiang & Chen, Yufang, 2019. "Does electricity price matter for innovation in renewable energy technologies in China?," Energy Economics, Elsevier, vol. 78(C), pages 259-266.
    18. Witajewski-Baltvilks, Jan & Verdolini, Elena & Tavoni, Massimo, 2015. "Bending The Learning Curve," Climate Change and Sustainable Development 206836, Fondazione Eni Enrico Mattei (FEEM).
    19. Zhang, Da & Chai, Qimin & Zhang, Xiliang & He, Jiankun & Yue, Li & Dong, Xiufen & Wu, Shu, 2012. "Economical assessment of large-scale photovoltaic power development in China," Energy, Elsevier, vol. 40(1), pages 370-375.
    20. Grafström, Jonas & Lindman, Åsa, 2017. "Invention, innovation and diffusion in the European wind power sector," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 179-191.
    21. Elia, A. & Kamidelivand, M. & Rogan, F. & Ó Gallachóir, B., 2021. "Impacts of innovation on renewable energy technology cost reductions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    22. Yao, Xilong & Liu, Yang & Qu, Shiyou, 2015. "When will wind energy achieve grid parity in China? – Connecting technological learning and climate finance," Applied Energy, Elsevier, vol. 160(C), pages 697-704.
    23. Miremadi, I. & Saboohi, Y. & Arasti, M., 2019. "The influence of public R&D and knowledge spillovers on the development of renewable energy sources: The case of the Nordic countries," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 450-463.
    24. Plank, Josef & Doblinger, Claudia, 2018. "The firm-level innovation impact of public R&D funding: Evidence from the German renewable energy sector," Energy Policy, Elsevier, vol. 113(C), pages 430-438.
    25. Raphael Bointner & Simon Pezzutto & Wolfram Sparber, 2016. "Scenarios of public energy research and development expenditures: financing energy innovation in Europe," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(4), pages 470-488, July.
    26. Castrejon-Campos, Omar & Aye, Lu & Hui, Felix Kin Peng, 2022. "Effects of learning curve models on onshore wind and solar PV cost developments in the USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    27. Dong, Changgui & Wiser, Ryan, 2013. "The impact of city-level permitting processes on residential photovoltaic installation prices and development times: An empirical analysis of solar systems in California cities," Energy Policy, Elsevier, vol. 63(C), pages 531-542.
    28. Albrecht, Johan & Laleman, Ruben & Vulsteke, Elien, 2015. "Balancing demand-pull and supply-push measures to support renewable electricity in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 267-277.

  7. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.

    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. Pietzcker, Robert Carl & Stetter, Daniel & Manger, Susanne & Luderer, Gunnar, 2014. "Using the sun to decarbonize the power sector: The economic potential of photovoltaics and concentrating solar power," Applied Energy, Elsevier, vol. 135(C), pages 704-720.
    3. Elofsson, Katarina & Gren, Ing-Marie, 2014. "Cost-efficient climate policies for interdependent and uncertain carbon pools," Working Paper Series 2014:7, Swedish University of Agricultural Sciences, Department Economics.
    4. Chang, Yu Sang, 2014. "Comparative analysis of long-term road fatality targets for individual states in the US—An application of experience curve models," Transport Policy, Elsevier, vol. 36(C), pages 53-69.
    5. Mauleón, Ignacio, 2016. "Photovoltaic learning rate estimation: Issues and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 507-524.
    6. Bosetti, Valentina & Longden, Thomas, 2012. "Light Duty Vehicle Transportation and Global Climate Policy: The Importance of Electric Drive Vehicles," Climate Change and Sustainable Development 121948, Fondazione Eni Enrico Mattei (FEEM).
    7. Iyer, Gokul C. & Clarke, Leon E. & Edmonds, James A. & Hultman, Nathan E., 2016. "Do national-level policies to promote low-carbon technology deployment pay off for the investor countries?," Energy Policy, Elsevier, vol. 98(C), pages 400-411.
    8. Hanna, Richard & Gross, Robert, 2021. "How do energy systems model and scenario studies explicitly represent socio-economic, political and technological disruption and discontinuity? Implications for policy and practitioners," Energy Policy, Elsevier, vol. 149(C).
    9. De Cian, Enrica & Carrara, Samuel & Tavoni, Massimo, 2012. "Innovation Benefits from Nuclear Phase-out: Can they Compensate the Costs?," Climate Change and Sustainable Development 143126, Fondazione Eni Enrico Mattei (FEEM).
    10. Santhakumar, Srinivasan & Meerman, Hans & Faaij, André, 2021. "Improving the analytical framework for quantifying technological progress in energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    11. Zeyringer, Marianne & Fais, Birgit & Keppo, Ilkka & Price, James, 2018. "The potential of marine energy technologies in the UK – Evaluation from a systems perspective," Renewable Energy, Elsevier, vol. 115(C), pages 1281-1293.
    12. Jong-Hyun Kim & Yong-Gil Lee, 2017. "Analyzing the Learning Path of US Shale Players by Using the Learning Curve Method," Sustainability, MDPI, vol. 9(12), pages 1-8, December.
    13. Narbel, Patrick André & Hansen, Jan Petter, 2014. "Estimating the cost of future global energy supply," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 91-97.
    14. 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.
    15. 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.
    16. Dr. Kirsten S. Wiebe & Dr. Christian Lutz, 2013. "The Renewable Power Generation Module (RPGM) – An extension to the GWS model family to endogenize technological change in the renewable power generation sector," GWS Discussion Paper Series 13-7, GWS - Institute of Economic Structures Research.
    17. Heuberger, Clara F. & Rubin, Edward S. & Staffell, Iain & Shah, Nilay & Mac Dowell, Niall, 2017. "Power capacity expansion planning considering endogenous technology cost learning," Applied Energy, Elsevier, vol. 204(C), pages 831-845.
    18. Lecca, Patrizio & McGregor, Peter G. & Swales, Kim J. & Tamba, Marie, 2017. "The Importance of Learning for Achieving the UK's Targets for Offshore Wind," Ecological Economics, Elsevier, vol. 135(C), pages 259-268.
    19. Iyer, Gokul C. & Clarke, Leon E. & Edmonds, James A. & Hultman, Nathan E. & McJeon, Haewon C., 2015. "Long-term payoffs of near-term low-carbon deployment policies," Energy Policy, Elsevier, vol. 86(C), pages 493-505.
    20. GRIMAUD André & LAFFORGUE Gilles, 2008. "Climate change mitigation policies: Are R&D subsidies preferable to a carbon tax?," LERNA Working Papers 08.31.275, LERNA, University of Toulouse.
    21. Zou, Hongyang & Du, Huibin & Ren, Jingzheng & Sovacool, Benjamin K. & Zhang, Yongjie & Mao, Guozhu, 2017. "Market dynamics, innovation, and transition in China's solar photovoltaic (PV) industry: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 197-206.
    22. 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.
    23. Wiser, Ryan & Millstein, Dev, 2020. "Evaluating the economic return to public wind energy research and development in the United States," Applied Energy, Elsevier, vol. 261(C).
    24. Okullo, Samuel J. & Reynès, Frédéric & Hofkes, Marjan W., 2021. "(Bio-)Fuel mandating and the green paradox," Energy Economics, Elsevier, vol. 95(C).
    25. Elofsson, Katarina, 2014. "International knowledge diffusion and its impact on the cost-effective clean-up of the Baltic Sea," Working Paper Series 2014:06, Swedish University of Agricultural Sciences, Department Economics.
    26. 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.
    27. del Río, Pablo, 2012. "The dynamic efficiency of feed-in tariffs: The impact of different design elements," Energy Policy, Elsevier, vol. 41(C), pages 139-151.
    28. Hernandez-Negron, Christian G. & Baker, Erin & Goldstein, Anna P., 2023. "A hypothesis for experience curves of related technologies with an application to wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    29. AbdulRafiu, Abbas & Sovacool, Benjamin K. & Daniels, Chux, 2022. "The dynamics of global public research funding on climate change, energy, transport, and industrial decarbonisation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    30. Qian, Yuan & Scherer, Laura & Tukker, Arnold & Behrens, Paul, 2020. "China's potential SO2 emissions from coal by 2050," Energy Policy, Elsevier, vol. 147(C).
    31. Enrica De Cian & Johannes Buhl & Samuel Carrara & Michela Bevione & Silvia Monetti & Holger Berg, 2016. "Knowledge Creation between Integrated Assessment Models and Initiative-Based Learning - An Interdisciplinary Approach," Working Papers 2016.66, Fondazione Eni Enrico Mattei.
    32. Chang, Yusang & Lee, Jinsoo & Yoon, Hyerim, 2012. "Alternative projection of the world energy consumption-in comparison with the 2010 international energy outlook," Energy Policy, Elsevier, vol. 50(C), pages 154-160.
    33. Pierre-André Jouvet & Ingmar Schumacher, 2011. "Learning-by-doing and the Costs of a Backstop for Energy Transition and Sustainability," Working Papers hal-00637960, HAL.
    34. Kevin Ummel, 2010. "Concentrating Solar Power in China and India: A Spatial Analysis of Technical Potential and the Cost of Deployment," Working Papers id:2807, eSocialSciences.
    35. van Beuzekom, Iris & Hodge, Bri-Mathias & Slootweg, Han, 2021. "Framework for optimization of long-term, multi-period investment planning of integrated urban energy systems," Applied Energy, Elsevier, vol. 292(C).
    36. Eva Schmid & Brigitte Knopf & Nico Bauer, 2012. "REMIND-D: A Hybrid Energy-Economy Model of Germany," Working Papers 2012.09, Fondazione Eni Enrico Mattei.
    37. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    38. Handayani, Kamia & Krozer, Yoram & Filatova, Tatiana, 2019. "From fossil fuels to renewables: An analysis of long-term scenarios considering technological learning," Energy Policy, Elsevier, vol. 127(C), pages 134-146.
    39. Tobias Wiesnethal & Arnaud Mercier & Burkhard Schade & H. Petric & Lazlo Szabo, 2010. "Quantitative Assessment of the Impact of the Strategic Energy Technology Plan on the European Power Sector," JRC Research Reports JRC61065, Joint Research Centre.
    40. Dr. Christian Lutz & Dr. Markus Flaute & Dr. Ulrike Lehr & Dr. Kirsten Svenja Wiebe, 2015. "Economic impacts of renewable power generation technologies and the role of endogenous technological change," GWS Discussion Paper Series 15-9, GWS - Institute of Economic Structures Research.
    41. Nemet, Gregory F., 2009. "Interim monitoring of cost dynamics for publicly supported energy technologies," Energy Policy, Elsevier, vol. 37(3), pages 825-835, March.
    42. Yu, C.F. & van Sark, W.G.J.H.M. & Alsema, E.A., 2011. "Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 324-337, January.
    43. Haller, Markus & Ludig, Sylvie & Bauer, Nico, 2012. "Bridging the scales: A conceptual model for coordinated expansion of renewable power generation, transmission and storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2687-2695.
    44. Kostevšek, Anja & Petek, Janez & Čuček, Lidija & Pivec, Aleksandra, 2013. "Conceptual design of a municipal energy and environmental system as an efficient basis for advanced energy planning," Energy, Elsevier, vol. 60(C), pages 148-158.
    45. del Río, Pablo & Peñasco, Cristina & Mir-Artigues, Pere, 2018. "An overview of drivers and barriers to concentrated solar power in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1019-1029.
    46. Kirsten S. Wiebe, 2016. "The impact of renewable energy diffusion on European consumption-based emissions," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 133-150, June.
    47. Hübler, Michael & Baumstark, Lavinia & Leimbach, Marian & Edenhofer, Ottmar & Bauer, Nico, 2012. "An integrated assessment model with endogenous growth," Ecological Economics, Elsevier, vol. 83(C), pages 118-131.
    48. Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina, 2015. "Synergy of air pollutants and greenhouse gas emissions of Chinese industries: A critical assessment of energy models," Energy, Elsevier, vol. 93(P2), pages 2436-2450.
    49. 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.
    50. Jong-Hyun Kim & Yong-Gil Lee, 2018. "Learning Curve, Change in Industrial Environment, and Dynamics of Production Activities in Unconventional Energy Resources," Sustainability, MDPI, vol. 10(9), pages 1-11, September.
    51. 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.
    52. Audrey Laude & Christian Jonen, 2011. "Biomass and CCS: The influence of the learning effect," Working Papers halshs-00829779, HAL.
    53. Palatnik, Ruslana Rachel & Freer, Mikhail & Levin, Mark & Golberg, Alexander & Zilberman, David, 2023. "Algae-Based Two-Stage Supply Chain with Co-Products," Ecological Economics, Elsevier, vol. 207(C).
    54. Tang, Tian, 2018. "Explaining technological change in the US wind industry: Energy policies, technological learning, and collaboration," Energy Policy, Elsevier, vol. 120(C), pages 197-212.
    55. Simonas Cerniauskas & Thomas Grube & Aaron Praktiknjo & Detlef Stolten & Martin Robinius, 2019. "Future Hydrogen Markets for Transportation and Industry: The Impact of CO 2 Taxes," Energies, MDPI, vol. 12(24), pages 1-26, December.
    56. Huenteler, Joern & Schmidt, Tobias S. & Ossenbrink, Jan & Hoffmann, Volker H., 2016. "Technology life-cycles in the energy sector — Technological characteristics and the role of deployment for innovation," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 102-121.
    57. 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.
    58. Christian JONEN & Audrey LAUDE, 2011. "Biomasse and CCS: The Influence of the Learning Effect," LEO Working Papers / DR LEO 273, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    59. Rhodes, Ekaterina & Hoyle, Aaron & McPherson, Madeleine & Craig, Kira, 2022. "Understanding climate policy projections: A scoping review of energy-economy models in Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    60. Naqvi, Syed Ali Asjad & Engelbert, Stockhammer, 2017. "Directed Technological Change in a post-Keynesian Ecological Macromodel," Ecological Economic Papers 16, WU Vienna University of Economics and Business.
    61. Shuangshuang Zhou & Juan Yang & Shiwei Yu, 2022. "A Stochastic Multi-Objective Model for China’s Provincial Generation-Mix Planning: Considering Variable Renewable and Transmission Capacity," Energies, MDPI, vol. 15(8), pages 1-26, April.
    62. Guillaume Bourgeois & Sandrine Mathy & Philippe Menanteau, 2017. "The effect of climate policies on renewable energies : a review of econometric studies [L’effet des politiques climatiques sur les énergies renouvelables : une revue des études économétriques]," Post-Print hal-01585906, HAL.
    63. 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.
    64. Weiss, Martin & Patel, Martin K. & Junginger, Martin & Perujo, Adolfo & Bonnel, Pierre & van Grootveld, Geert, 2012. "On the electrification of road transport - Learning rates and price forecasts for hybrid-electric and battery-electric vehicles," Energy Policy, Elsevier, vol. 48(C), pages 374-393.
    65. Rob Aalbers & Victoria Shestalova & Viktoria Kocsis, 2012. "Innovation policy for directing technical change in the power sector," CPB Discussion Paper 223, CPB Netherlands Bureau for Economic Policy Analysis.
    66. Rout, Ullash K. & Fahl, Ulrich & Remme, Uwe & Blesl, Markus & Voß, Alfred, 2009. "Endogenous implementation of technology gap in energy optimization models--a systematic analysis within TIMES G5 model," Energy Policy, Elsevier, vol. 37(7), pages 2814-2830, July.
    67. Upstill, Garrett & Hall, Peter, 2018. "Estimating the learning rate of a technology with multiple variants: The case of carbon storage," Energy Policy, Elsevier, vol. 121(C), pages 498-505.
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