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1

O'Brien, Sheila. "Tough energy choices." Physics World 26, no. 06 (2013): 20. http://dx.doi.org/10.1088/2058-7058/26/06/25.

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Coopersmith, Jonathan, and Robert E. Ebel. "Energy Choices in Russia." Russian Review 55, no. 3 (1996): 522. http://dx.doi.org/10.2307/131820.

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Johnson, Blake E. "Modeling energy technology choices." Energy Policy 22, no. 10 (1994): 877–83. http://dx.doi.org/10.1016/0301-4215(94)90147-3.

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Harris, Sophia K., David P. Moore, Michael Roberts, and Rachel Thompson. "PROMOTING SUSTAINABLE BUILDING CHOICES THROUGH HUMANIZED ENERGY PERFORMANCE LABELS." International Journal of Research in Engineering 4, no. 1 (2024): 6–10. https://doi.org/10.55640/ijre-04-01-02.

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Building energy consumption is a significant contributor to global energy demand and environmental impact. Efforts to promote sustainable building choices among consumers and stakeholders often rely on energy performance labels, yet their effectiveness can be limited by complex technical information. This article explores the potential of "humanized" performance labeling to enhance understanding and influence decision-making regarding sustainable buildings. Humanized labels translate technical energy performance data into relatable, understandable metrics and narratives that resonate with indi
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HILEMAN, BETTE. "HARD CHOICES FOR NUCLEAR ENERGY." Chemical & Engineering News 74, no. 44 (1996): 24–28. http://dx.doi.org/10.1021/cen-v074n044.p024.

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Nwofor, O. K., T. C. Chineke, C. E. Akujor, and U. O. Okoro. "Energy Diversification Choices for Nigeria." Energy & Environment 18, no. 5 (2007): 577–90. http://dx.doi.org/10.1260/0958-305x.18.5.577.

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This paper reviews the diverse energy options available to Nigeria, and presents some popular arguments for choosing certain energy options above others for large-scale development. These popular methods of making energy policy decisions may be prone to faulty reasoning and may not be quantitatively assessable. Using the criteria of availability, economy of energy conversion and environmental sustainability, a procedure of preference ranking based on expert opinions is suggested for optimizing decisions on the most suitable candidates for energy diversification in Nigeria in the coming decades
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Ubani, O. J., A. Okosun, G. Chukwurah, and Ivo Henry. "Household Energy Fuel Choice in Nigeria Residential Urban Area." Nature Environment and Pollution Technology 22, no. 4 (2023): 2163–71. http://dx.doi.org/10.46488/nept.2023.v22i04.042.

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In most Nigerian cities, there have been an increased number of trading in charcoals, firewood, and sawdust. Yet, the fast citing of cooking gas refilling stations in these areas requires much to be studied since their increasing number suggests great demand for cooking gas. The knowledge of the different household fuel choices and the drivers of this choice was lacking in Nigerian cities, thus the inability of energy policymakers to predict and plan household fuel agenda in Nigeria. The thrust of this paper was to analyze the household energy fuel choice and the pattern of consumption as well
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Kriesi, Hanspeter, and Maya Jegen. "Decision-making in the Swiss Energy Policy Elite." Journal of Public Policy 20, no. 1 (2000): 21–53. http://dx.doi.org/10.1017/s0143814x0000074x.

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This paper analyzes choices concerning the increase of energy efficiency made by the Swiss energy policy elite; it is based on interviews with 240 of its members. It starts from the assumption that choices depend on characteristics of the actors involved (their membership in policy coalitions, their core beliefs etc.), the characteristics of the instruments (in particular their familiarity and the extent to which they impose constraints upon the coalitions involved) and of the policy context (policy equilibrium vs. rapid change). Depending on these characteristics, actors are expected to make
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9

van Schijndel, Patrick. "Trends in domestic energy use reduction and private renewable energy production." E3S Web of Conferences 202 (2020): 01009. http://dx.doi.org/10.1051/e3sconf/202020201009.

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Domestic energy use can be directly influenced by personal choices. These choices include the selection of equipment (efficiency), mode of equipment use, consumer behaviour but also by self-production of electricity, space heating and/or cooling. Intelligent meters showing the actual use of electricity give insight in domestic energy use and is crucial in decreasing domestic energy use. However, households need better access to knowledge and experiences of experts to understand the potential choices to decrease their use of energy. Housing and equipment ‘labelling’ can give some support with t
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10

Ahmar, Muhammad, Fahad Ali, Yuexiang Jiang, Mamdooh Alwetaishi, and Sherif S. M. Ghoneim. "Households’ Energy Choices in Rural Pakistan." Energies 15, no. 9 (2022): 3149. http://dx.doi.org/10.3390/en15093149.

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In the wake of the United Nation’s Sustainable Development Goals—zero hunger and affordable modern/clean energy for all—many developing countries have taken serious steps in recent years to increase clean energy access for the rural population. The government of Pakistan has similarly made numerous efforts to promote the use of clean energy sources in the rural areas of the country. Therefore, this study examines rural households’ energy choices for cooking and lighting in Pakistan. In doing so, a comprehensive dataset is collected from three different districts of Pakistan between 2020 and 20
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Ahmar, Muhammad, Fahad Ali, Yuexiang Jiang, Mamdooh Alwetaishi, and Sherif S. M. Ghoneim. "Households’ Energy Choices in Rural Pakistan." Energies 15, no. 9 (2022): 3149. http://dx.doi.org/10.3390/en15093149.

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In the wake of the United Nation’s Sustainable Development Goals—zero hunger and affordable modern/clean energy for all—many developing countries have taken serious steps in recent years to increase clean energy access for the rural population. The government of Pakistan has similarly made numerous efforts to promote the use of clean energy sources in the rural areas of the country. Therefore, this study examines rural households’ energy choices for cooking and lighting in Pakistan. In doing so, a comprehensive dataset is collected from three different districts of Pakistan between 2020 and 20
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12

Elliott, David. "Energy Regime Choices: Nuclear or Not?" Technology Analysis & Strategic Management 18, no. 5 (2006): 445–50. http://dx.doi.org/10.1080/09537320601019545.

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13

Barrett, Larry B. "Puts? Calls? Energy Hedges? Complicated Choices." Strategic Planning for Energy and the Environment 21, no. 4 (2002): 39–46. http://dx.doi.org/10.1080/10485230209509594.

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Bliss, Joan, and Jon Ogborn. "Children's choices of uses of energy." European Journal of Science Education 7, no. 2 (1985): 195–203. http://dx.doi.org/10.1080/0140528850070210.

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Pool, Robert. "Department of Energy faces hard choices." Nature 353, no. 6342 (1991): 287. http://dx.doi.org/10.1038/353287a0.

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Goldemberg, José. "Energy Choices Toward a Sustainable Future." Environment: Science and Policy for Sustainable Development 49, no. 10 (2007): 7–17. http://dx.doi.org/10.3200/envt.49.10.7-17.

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Refvem, Emma, and Dana Haine. "Generate: The Game of Energy Choices." Science Teacher 88, no. 6 (2021): 52–57. http://dx.doi.org/10.1080/00368555.2021.12293625.

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Malek, Khalaf Albzeirat, Mustafa Al-Saraireh Falah, Iqbal Hussain Muhammad, and Ahmad Rosmaini. "Jordan Energy Sector Choices and Challenges." SEISENSE Journal of Management 1, no. 5 (2018): 16–37. https://doi.org/10.5281/zenodo.1452373.

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Energy is the lifeline for the whole of the service and industry sector in any country. Any imbalance in the energy sector is reflected on other sectors and the standard of living in the country. Energy problems are one of the most complex challenges facing governments. Especially in countries that rely on external energy sources. This situation is increased complexity by the presence of immediate changes in international relations and in fuel prices. Jordan is among the countries that depend on foreign energy sources and is located in the most volatile regions of the world in middle of the Mi
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19

Brown, Ed, and Jonathan Cloke. "Energy and Development: The Political Economy of Energy Choices." Progress in Development Studies 17, no. 2 (2017): vii—xiv. http://dx.doi.org/10.1177/1464993416688790.

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20

Qiang, Li, and Qi Xing-kang. "World energy structure and choices of Chinese energy strategy." Procedia Earth and Planetary Science 1, no. 1 (2009): 1723–29. http://dx.doi.org/10.1016/j.proeps.2009.09.264.

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21

Oyedele, Ovikuomagbe. "Determinants of Household Cooking Energy Choice: Are Such Choices Influenced by Health Outcomes?" International Journal of Energy Economics and Policy 13, no. 2 (2023): 553–64. http://dx.doi.org/10.32479/ijeep.13977.

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Several factors determine a woman’s choice of cooking fuel type for her household. Since there are health effects to such decisions, it is consequential that households would take into consideration their health outcome experiences when making such choices. This study examined the determinants of household’s cooking energy choice. It examined whether such choices are influenced by health outcomes. A multinomial logit model was estimated, controlling for possible heterogeneity. Higher levels of household wealth index and education promote cleaner energy use such as electricity and gas rather th
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22

Huenemann, Ralph W., and Xiannuan Lin. "China's Energy Strategy: Economic Structure, Technological Choices, and Energy Consumption." Pacific Affairs 69, no. 2 (1996): 257. http://dx.doi.org/10.2307/2760731.

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23

Kyriazakis, I., G. C. Emmans, and C. T. Whittemore. "The effect of prior experience of feeds on the diets selected by growing pigs." Proceedings of the British Society of Animal Production (1972) 1988 (March 1988): 133. http://dx.doi.org/10.1017/s0308229600017694.

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A test of the theory that animals seek to eat what they need, is to offer them a choice of two feeds with different protein contents but similar energy yields. The animals, treated in this way, are expected to eat that combination of the two feeds which Just meets their protein and energy requirements. However, in a previous experiment (Kyriazakis, Emmans and Whittemore, 1987), when pigs were offered a choice between two feeds, a high variation in the choices of individuals was observed. This was attributed to the need for an initial learning period, where animals obtain information about the
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24

English, Alicia. "Getting to Paris via Kosovo's energy choices." Environmental Research Letters 12, no. 2 (2017): 021002. http://dx.doi.org/10.1088/1748-9326/aa58be.

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25

ONYEBUCHI, EDWARD I. "Analysis of Rural Energy Choices in Nigeria." Natural Resources Forum 12, no. 2 (1988): 181–86. http://dx.doi.org/10.1111/j.1477-8947.1988.tb00816.x.

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26

Dietz, Thomas, Christina Leshko, and Aaron M. McCright. "Politics shapes individual choices about energy efficiency." Proceedings of the National Academy of Sciences 110, no. 23 (2013): 9191–92. http://dx.doi.org/10.1073/pnas.1307484110.

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Rai, Varun, and Adam Douglas Henry. "Agent-based modelling of consumer energy choices." Nature Climate Change 6, no. 6 (2016): 556–62. http://dx.doi.org/10.1038/nclimate2967.

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Xu, Shengqing, and Tao Wang. "On energy equity and China’s policy choices." Energy & Environment 28, no. 3 (2016): 288–301. http://dx.doi.org/10.1177/0958305x16684011.

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Energy is a resource that is essential to economic, cultural, and social development. As China’s economy enters its “new normal” state, it risks falling into the middle income trap, and energy equity is critical for China to get rid of the middle income trap, considering the great gap on energy utilization (including quantity, quality, and infrastructure) between rural and urban areas and the negligence of environmental equity. This article explains the political, economic, and environmental significance of energy equity from the perspectives of the energy trilemma, Engel’s coefficient, and en
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Mcilvaine, Robert. "A New Approach for Evaluating Energy Choices." Electricity Journal 27, no. 10 (2014): 72–79. http://dx.doi.org/10.1016/j.tej.2014.11.003.

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Becken, Susanne, David G. Simmons, and Chris Frampton. "Energy use associated with different travel choices." Tourism Management 24, no. 3 (2003): 267–77. http://dx.doi.org/10.1016/s0261-5177(02)00066-3.

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Schaffer, Lena Maria, and Thomas Bernauer. "Explaining government choices for promoting renewable energy." Energy Policy 68 (May 2014): 15–27. http://dx.doi.org/10.1016/j.enpol.2013.12.064.

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Larson, Eric D., Wu Zongxin, Pat DeLaquil, Chen Wenying, and Gao Pengfei. "Future implications of China's energy-technology choices." Energy Policy 31, no. 12 (2003): 1189–204. http://dx.doi.org/10.1016/s0301-4215(02)00171-4.

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Faaij, André P. C. "Bio-energy in Europe: changing technology choices." Energy Policy 34, no. 3 (2006): 322–42. http://dx.doi.org/10.1016/j.enpol.2004.03.026.

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Khan, Muhammad Imran, Sohail Javed, and Syed Kamran Abbas Naqvi. "CITY HOUSEHOLD ENERGY CHOICES AND THEIR INFLUENCING FACTORS IN PAKISTAN." Pakistan Journal of Social Research 04, no. 01 (2022): 381–92. http://dx.doi.org/10.52567/pjsr.v4i1.662.

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The dissimilarities of cooking fuel are subjected to several attributes associated with the household’s personal life and social life. A household chooses firewood for cooking purposes because of easy access and affordability but also uses multiple energy sources at the same time. These choices become conditional upon a number of factors. These factors can be income, education, location, access, and awareness. The current study attempts to explore the influencing factors of joint energy choices for cooking in the cities of Pakistan. The study is grounded upon the microdata, collected by PSLM a
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Rej, Soumen, and Barnali Nag. "Energy crossroads and prioritization of energy choices: the case of India." OPEC Energy Review 45, no. 1 (2021): 135–58. http://dx.doi.org/10.1111/opec.12201.

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Gueye, Moustapha, Yirgu Teshome, Yihunie Yibeltal, and Asele Alemu. "Management of world energy resources (Renewable energy): Choices for the future?" African Journal of Environmental Science and Technology 14, no. 1 (2020): 1–5. http://dx.doi.org/10.5897/ajest2018.2580.

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Greenstone, Michael, and Adam Looney. "Paying Too Much for Energy? The True Costs of Our Energy Choices." Daedalus 141, no. 2 (2012): 10–30. http://dx.doi.org/10.1162/daed_a_00143.

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Energy consumption is critical to economic growth and quality of life. America's energy system, however, is malfunctioning. The status quo is characterized by a tilted playing field, where energy choices are based on the visible costs that appear on utility bills and at gas pumps. This system masks the “external” costs arising from those energy choices, including shorter lives, higher health care expenses, a changing climate, and weakened national security. As a result, we pay unnecessarily high costs for energy. New “rules of the road” could level the energy playing field. Drawing from our wo
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Edelenbosch, Oreane Y., Luciana Miu, Julia Sachs, Adam Hawkes, and Massimo Tavoni. "Translating observed household energy behavior to agent-based technology choices in an integrated modeling framework." iScience 25, no. 3 (2022): 103905. https://doi.org/10.1016/j.isci.2022.103905.

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Decarbonizing the building sector depends on choices made at the household level, which are heterogeneous. Agent-based models are tools used to describe heterogeneous choices but require data-intensive calibration. This study analyzes a novel, cross-country European household-level survey, including sociodemographic characteristics, energy-saving habits, energy-saving investments, and metered household electricity consumption, to enhance the empirical grounding of an agent-based residential energy choice model. Applying cluster analysis to the data shows that energy consumption is not straight
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Adjei-Danso, Emmanuel, Emmanuel Yamoah Tenkorang, and Patrick Osei-Kufuor. "Factors influencing household energy choices in the Kumasi Metropolitan area of Ghana." Oguaa Journal of Social Sciences 9, no. 1 (2020): 74–90. http://dx.doi.org/10.47963/joss.v9i1.319.

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Reforms in the energy sector are expected to bring about essential efciency gains, which could result in energy diversifcation and welfare improvements among households. However, there are other unintended social and environmental consequences associated with the process. One signifcant social concern is the likely impact on how low-income families access new energy. The study used a cross-sectional design to undertake a comparative analysis of domestic energy choices. Data was collected from 405 households’ decision makers. An interview schedule and a guide were used for the data collection.
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40

Bevelander, Kirsten E., Doeschka J. Anschütz, and Rutger C. M. E. Engels. "The effect of a fictitious peer on young children's choice of familiar v. unfamiliar low- and high-energy-dense foods." British Journal of Nutrition 108, no. 6 (2012): 1126–33. http://dx.doi.org/10.1017/s0007114511006374.

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The present experimental study was the first to investigate the impact of a remote (non-existent) peer on children's food choice of familiar v. unfamiliar low- and high-energy-dense food products. In a computer task, children (n 316; 50·3 % boys; mean age 7·13 (sd 0·75) years) were asked to choose between pictures of familiar and unfamiliar foods in four different choice blocks using the following pairs: (1) familiar v. unfamiliar low-energy-dense foods (fruits and vegetables), (2) familiar v. unfamiliar high-energy-dense foods (high sugar, salt and/or fat content), (3) familiar low-energy-den
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White, Franklin. "Rational Energy Choices in the Wake of Fukushima." International Journal of Medicine and Public Health 1, no. 4 (2011): 1–2. http://dx.doi.org/10.5530/ijmedph.4.2011.1.

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Osofsky, Hari. "Complex Value Choices at the Environment-Energy Interface." Michigan Journal of Environmental & Administrative Law, no. 3.2 (2014): 261. http://dx.doi.org/10.36640/mjeal.3.2.complex.

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During the 2001–02 academic year, I lived in China, teaching U.S. civil rights law and helping to start a labor law clinic. My first day of teaching the fall civil rights course was the day of the September 11 attacks, and that event and reactions to it played a dominant role in my experience of that year. However, it was also a particularly interesting year to be in China from an environmental-energy perspective because the Three Gorges Dam was in the process of being built and brought onlie. At that point, the area was partially flooded and it was one of the last years that one could take a
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43

Stern, Paul C., Benjamin K. Sovacool, and Thomas Dietz. "Towards a science of climate and energy choices." Nature Climate Change 6, no. 6 (2016): 547–55. http://dx.doi.org/10.1038/nclimate3027.

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Pietola, Kyosti, and Alfons Oude Lansink. "Energy-saving Technology Choices by Dutch Glasshouse Firms." Journal of Agricultural Economics 57, no. 1 (2006): 129–44. http://dx.doi.org/10.1111/j.1477-9552.2006.00036.x.

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Gromet, Dena M., Howard Kunreuther, and Richard P. Larrick. "Political ideology affects energy-efficiency attitudes and choices." Proceedings of the National Academy of Sciences 110, no. 23 (2013): 9314–19. http://dx.doi.org/10.1073/pnas.1218453110.

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Coates, Joseph F. "Energy Needs, Choices, and Possibilities, Scenarios to 2050." Technological Forecasting and Social Change 69, no. 5 (2002): 527–31. http://dx.doi.org/10.1016/s0040-1625(02)00215-9.

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Simpson, David, and James Walker. "Extending cost-benefit analysis for energy investment choices." Energy Policy 15, no. 3 (1987): 217–27. http://dx.doi.org/10.1016/0301-4215(87)90083-8.

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Della Valle, Nives, Chiara D'Arcangelo, and Marco Faillo. "Promoting pro-environmental choices while addressing energy poverty." Energy Policy 186 (March 2024): 113967. http://dx.doi.org/10.1016/j.enpol.2023.113967.

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Robinson, Eric, and Suzanne Higgs. "Food choices in the presence of ‘healthy’ and ‘unhealthy’ eating partners." British Journal of Nutrition 109, no. 4 (2012): 765–71. http://dx.doi.org/10.1017/s0007114512002000.

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Eating with others has been shown to influence the amount of food eaten in a meal or snack. We examined whether choosing food in the presence of another person who is choosing either predominantly low-energy-dense or high-energy-dense foods affects food choices. A between-subjects laboratory-based study was used. A group of 100 young females selected a lunch-time meal from a buffet consisting of a range of high-energy-dense and low-energy-dense foods, in the presence of an ‘unhealthy’ eating partner (who chose predominantly high-energy-dense foods) or a ‘healthy’ eating partner (who chose pred
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50

Buonocore, Jonathan J., Patrick Luckow, Gregory Norris, et al. "Health and climate benefits of different energy-efficiency and renewable energy choices." Nature Climate Change 6, no. 1 (2015): 100–105. http://dx.doi.org/10.1038/nclimate2771.

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