Essec\Faculty\Model\Profile {#2233 ▼
#_id: "B00820409"
#_source: array:40 [
"bid" => "B00820409"
"academId" => "34830"
"slug" => "sager-lutz"
"fullName" => "Lutz SAGER"
"lastName" => "SAGER"
"firstName" => "Lutz"
"title" => array:2 [
"fr" => "Professeur assistant"
"en" => "Assistant Professor"
]
"email" => "lutz.sager@essec.edu"
"status" => "ACTIF"
"campus" => "Campus de Cergy"
"departments" => []
"phone" => ""
"sites" => []
"facNumber" => "34830"
"externalCvUrl" => "https://faculty.essec.edu/cv/sager-lutz/pdf"
"googleScholarUrl" => "https://scholar.google.com/citations?user=AWX2jiMAAAAJ&hl=fr&oi=ao"
"facOrcId" => "https://orcid.org/0000-0002-3060-0053"
"career" => array:2 [
0 => Essec\Faculty\Model\CareerItem {#2238
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2024-09-01"
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"type" => array:2 [
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"en" => "Full-time academic appointments"
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"label" => array:2 [
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"en" => "Assistant Professor"
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"institution" => array:2 [
"fr" => "ESSEC Business School"
"en" => "ESSEC Business School"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
+"parent": Essec\Faculty\Model\Profile {#2233}
}
1 => Essec\Faculty\Model\CareerItem {#2232
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2019-08-01"
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"institution" => array:2 [
"fr" => "Georgetown University"
"en" => "Georgetown University"
]
"country" => array:2 [
"fr" => "États-Unis"
"en" => "United States of America"
]
]
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}
]
"diplomes" => array:3 [
0 => Essec\Faculty\Model\Diplome {#2235
#_index: null
#_id: null
#_source: array:6 [
"diplome" => "DIPLOMA"
"type" => array:2 [
"fr" => "Diplômes"
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"year" => "2019"
"label" => array:2 [
"en" => "PhD, Environmental Economics"
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"institution" => array:2 [
"fr" => "London School of Economics and Political Science (LSE)"
"en" => "London School of Economics and Political Science (LSE)"
]
"country" => array:2 [
"fr" => "Royaume-Uni"
"en" => "United Kingdom"
]
]
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+"parent": Essec\Faculty\Model\Profile {#2233}
}
1 => Essec\Faculty\Model\Diplome {#2237
#_index: null
#_id: null
#_source: array:6 [
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"type" => array:2 [
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"label" => array:2 [
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]
"institution" => array:2 [
"fr" => "University of Oxford"
"en" => "University of Oxford"
]
"country" => array:2 [
"fr" => "Royaume-Uni"
"en" => "United Kingdom"
]
]
+lang: "fr"
+"parent": Essec\Faculty\Model\Profile {#2233}
}
2 => Essec\Faculty\Model\Diplome {#2234
#_index: null
#_id: null
#_source: array:6 [
"diplome" => "DIPLOMA"
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"label" => array:2 [
"en" => "Bachelor, Economics"
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"institution" => array:2 [
"fr" => "Université de Saint-Gall"
"en" => "Université de Saint-Gall"
]
"country" => array:2 [
"fr" => "Suisse"
"en" => "Switzerland"
]
]
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+"parent": Essec\Faculty\Model\Profile {#2233}
}
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"bio" => array:2 [
"fr" => "<p>Lutz Sager est professeur assistant au département d'économie à l'ESSEC. Économiste environnemental, il étudie les solutions au changement climatique et à la pollution de l'air ainsi que les coûts qui leur sont associés. Son travail met en lumière les questions de répartition, cherchant des instruments politiques à la fois efficaces et équitables. Avant de rejoindre l'ESSEC, le Dr Sager était professeur assistant à l'Université de Georgetown. Il est également professeur invité à la London School of Economics et chercheur au sein du réseau CESifo. Ses travaux ont été publiés dans des revues universitaires de premier plan, ont fait l'objet d'articles dans les médias du monde entier (Washington Post, Wall Street Journal, Financial Times, etc.) et ont été cités en référence par des gouvernements et des organisations internationales.</p>\n 
<p>Lutz Sager est professeur assistant au département d'économie à l'ES "
"en" => "<p><i>Lutz Sager is Assistant Professor in the Economics Department of ESSEC. He is an environmental economist who studies the costs of and solutions to climate change and air pollution. His work highlights distributional considerations, looking for policy instruments that are both effective and equitable. Before joining ESSEC, Dr. Sager was Assistant Professor at Georgetown University. He is also a Visiting Fellow at the London School of Economics and a Research Fellow of the CESifo Network. His work has been published in leading academic journals, featured in media outlet worldwide (e.g. Washington Post, Wall Street Journal, Financial Times), as well as referenced by governments and international organizations.</i></p>\n <p><i>Lutz Sager is Assistant Professor in the Economics Department of ESSEC. He is an environmental "
]
"department" => array:2 [
"fr" => "Economie"
"en" => "Economics"
]
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]
"researchFields" => array:2 [
"fr" => "Economie environnementale - Economie publique"
"en" => "Environmental Economics - Public Economics"
]
"teachingFields" => array:2 [
"fr" => "Economie environnementale - Microéconomie et théorie des jeux - Développement durable"
"en" => "Environmental Economics - Microeconomics & Game Theory - Sustainable development"
]
"distinctions" => []
"teaching" => []
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"sitePerso" => "https://sites.google.com/view/lutzsager/"
"indexedAt" => "2025-04-19T23:21:22.000Z"
"contributions" => array:11 [
0 => Essec\Faculty\Model\Contribution {#2239
#_index: "academ_contributions"
#_id: "15103"
#_source: array:18 [
"id" => "15103"
"slug" => "15103-who-values-future-energy-savings-evidence-from-american-drivers"
"yearMonth" => "2023-05"
"year" => "2023"
"title" => "Who Values Future Energy Savings? Evidence from American Drivers"
"description" => "LEVINSON, A. et SAGER, L. (2023). Who Values Future Energy Savings? Evidence from American Drivers. <i>Journal of the Association of Environmental and Resource Economists</i>, 10(3), pp. 717-751. LEVINSON, A. et SAGER, L. (2023). Who Values Future Energy Savings? Evidence from American Drivers. "
"authors" => array:2 [
0 => array:3 [
"name" => "SAGER Lutz"
"bid" => "B00820409"
"slug" => "sager-lutz"
]
1 => array:1 [
"name" => "LEVINSON Arik"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2024-11-25 11:17:07"
"publicationUrl" => "https://www.journals.uchicago.edu/doi/abs/10.1086/722577?journalCode=jaere"
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"pages" => "717-751"
"volume" => "10"
"number" => "3"
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"fr" => null
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"fr" => ""
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"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
]
"indexedAt" => "2025-04-19T23:21:40.000Z"
]
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}
1 => Essec\Faculty\Model\Contribution {#2241
#_index: "academ_contributions"
#_id: "15539"
#_source: array:18 [
"id" => "15539"
"slug" => "15539-distributional-effects-of-environmental-trade-measures"
"yearMonth" => "2022-03"
"year" => "2022"
"title" => "Distributional effects of environmental trade measures"
"description" => "SAGER, L. (2022). Distributional effects of environmental trade measures. Dans: Jakob, M. eds. <i>Handbook on Trade Policy and Climate Change</i>. 1st ed. Cheltenham: Edward Elgar Publishing Ltd, pp. 272-289. SAGER, L. (2022). Distributional effects of environmental trade measures. Dans: Jakob, M. eds. <i>Ha "
"authors" => array:1 [
0 => array:3 [
"name" => "SAGER Lutz"
"bid" => "B00820409"
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"ouvrage" => "Handbook on Trade Policy and Climate Change"
"keywords" => []
"updatedAt" => "2025-04-01 18:50:46"
"publicationUrl" => "https://doi.org/10.4337/9781839103247"
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"volume" => ""
"number" => "17"
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"fr" => ""
"en" => ""
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"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
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"indexedAt" => "2025-04-19T23:21:40.000Z"
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2 => Essec\Faculty\Model\Contribution {#2243
#_index: "academ_contributions"
#_id: "15101"
#_source: array:18 [
"id" => "15101"
"slug" => "15101-how-trade-policy-can-support-the-climate-agenda"
"yearMonth" => "2022-06"
"year" => "2022"
"title" => "How trade policy can support the climate agenda"
"description" => "JAKOB, M., SAGER, L. et AFIONIS ET AL., S. (2022). How trade policy can support the climate agenda. <i>Science</i>, 376(6600), pp. 1401-1403. JAKOB, M., SAGER, L. et AFIONIS ET AL., S. (2022). How trade policy can support the climate agenda. "
"authors" => array:3 [
0 => array:3 [
"name" => "SAGER Lutz"
"bid" => "B00820409"
"slug" => "sager-lutz"
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1 => array:1 [
"name" => "JAKOB Michael"
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2 => array:1 [
"name" => "AFIONIS ET AL. Stravros"
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"ouvrage" => ""
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"updatedAt" => "2024-11-25 11:14:12"
"publicationUrl" => "https://doi.org/10.1126/science.abo4207"
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"pages" => "1401-1403"
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"number" => "6600"
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"fr" => null
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"abstract" => array:2 [
"fr" => "Economic analysis has produced ample insights on how international trade and climate policy interact (1). Trade presents both opportunities and obstacles, and invites the question of how domestic climate policies can be effective in a global economy integrated through international trade. Particularly problematic is the potential relocation of production to regions with low climate standards. Measures to level the playing field, such as border carbon adjustments (BCAs), may be justified for specific emissions-intensive and trade-exposed sectors but need to be well-targeted, carefully navigating tensions that can arise between the desire to respect global trade rules and the need to elaborate and implement effective national climate policies. The conformity of specific trade measures with international trade and climate change law is not entirely clear. Yet, clarity is needed to ensure that the industry actors affected will find the rules predictable and be able to adhere to them. Economic analysis has produced ample insights on how international trade and climate policy interact "
"en" => "Economic analysis has produced ample insights on how international trade and climate policy interact (1). Trade presents both opportunities and obstacles, and invites the question of how domestic climate policies can be effective in a global economy integrated through international trade. Particularly problematic is the potential relocation of production to regions with low climate standards. Measures to level the playing field, such as border carbon adjustments (BCAs), may be justified for specific emissions-intensive and trade-exposed sectors but need to be well-targeted, carefully navigating tensions that can arise between the desire to respect global trade rules and the need to elaborate and implement effective national climate policies. The conformity of specific trade measures with international trade and climate change law is not entirely clear. Yet, clarity is needed to ensure that the industry actors affected will find the rules predictable and be able to adhere to them. Economic analysis has produced ample insights on how international trade and climate policy interact "
]
"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
]
"indexedAt" => "2025-04-19T23:21:40.000Z"
]
+lang: "fr"
+"_type": "_doc"
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+"parent": null
}
3 => Essec\Faculty\Model\Contribution {#2240
#_index: "academ_contributions"
#_id: "15102"
#_source: array:18 [
"id" => "15102"
"slug" => "15102-the-global-consumer-incidence-of-carbon-pricing-evidence-from-trade"
"yearMonth" => "2023-11"
"year" => "2023"
"title" => "The global consumer incidence of carbon pricing: Evidence from trade"
"description" => "SAGER, L. (2023). The global consumer incidence of carbon pricing: Evidence from trade. <i>Energy Economics</i>, 127(2), pp. 107101. SAGER, L. (2023). The global consumer incidence of carbon pricing: Evidence from trade. <i>Energy Ec "
"authors" => array:1 [
0 => array:3 [
"name" => "SAGER Lutz"
"bid" => "B00820409"
"slug" => "sager-lutz"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2025-03-26 13:14:06"
"publicationUrl" => "https://doi.org/10.1016/j.eneco.2023.107101"
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"pages" => "107101"
"volume" => "127"
"number" => "2"
]
"type" => array:2 [
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"en" => "Journal articles"
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"support_type" => array:2 [
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"en" => "Scientific journal"
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"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Carbon pricing is often seen as regressive, disproportionately burdening low-income consumers. I show that higher prices following a global carbon price would be mildly regressive in industrialized countries, mildly progressive in developing countries, and steeply regressive across countries. Refunding revenues via national carbon dividends would reverse all three findings. The net effect would be globally progressive, even without international transfers. My approach to estimating the global distributional effects of carbon pricing uses bilateral trade data and features non-homothetic consumers who differ both between and within countries. The supply side includes substitution of inputs along global value chains. Carbon pricing is often seen as regressive, disproportionately burdening low-income consumers. I sho "
"en" => "Carbon pricing is often seen as regressive, disproportionately burdening low-income consumers. I show that higher prices following a global carbon price would be mildly regressive in industrialized countries, mildly progressive in developing countries, and steeply regressive across countries. Refunding revenues via national carbon dividends would reverse all three findings. The net effect would be globally progressive, even without international transfers. My approach to estimating the global distributional effects of carbon pricing uses bilateral trade data and features non-homothetic consumers who differ both between and within countries. The supply side includes substitution of inputs along global value chains. Carbon pricing is often seen as regressive, disproportionately burdening low-income consumers. I sho "
]
"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
]
"indexedAt" => "2025-04-19T23:21:40.000Z"
]
+lang: "fr"
+"_type": "_doc"
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+"parent": null
}
4 => Essec\Faculty\Model\Contribution {#2244
#_index: "academ_contributions"
#_id: "15343"
#_source: array:18 [
"id" => "15343"
"slug" => "15343-air-pollution-and-respiratory-infectious-diseases"
"yearMonth" => "2024-04"
"year" => "2024"
"title" => "Air Pollution and Respiratory Infectious Diseases"
"description" => "PROVENZANO, S., ROTH, S. et SAGER, L. (2024). Air Pollution and Respiratory Infectious Diseases. <i>Environmental and Resource Economics</i>, 87, pp. 1127–1139. PROVENZANO, S., ROTH, S. et SAGER, L. (2024). Air Pollution and Respiratory Infectious Diseases. <i> "
"authors" => array:3 [
0 => array:3 [
"name" => "SAGER Lutz"
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1 => array:1 [
"name" => "PROVENZANO Sandro"
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2 => array:1 [
"name" => "ROTH Sefi"
]
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"ouvrage" => ""
"keywords" => array:4 [
0 => "Air pollution"
1 => "Respiratory disease"
2 => "Influenza"
3 => "COVID-19"
]
"updatedAt" => "2025-04-10 10:02:32"
"publicationUrl" => "https://doi.org/10.1007/s10640-024-00858-x"
"publicationInfo" => array:3 [
"pages" => "1127–1139"
"volume" => "87"
"number" => ""
]
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"countries" => array:2 [
"fr" => null
"en" => null
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"abstract" => array:2 [
"fr" => "Recent research suggests that short-term exposure to air pollution is associated with an elevated prevalence of respiratory infectious disease. In this paper, we examine the relationship between the air quality index and weekly cases of COVID-19 and influenza-like illnesses (ILI) in the United States. We address potential bias from omitted variables and measurement error with an instrumental variable approach using atmospheric temperature inversions. Unlike other recent studies, we find no relationship between air quality and either COVID-19 or ILI cases. Recent research suggests that short-term exposure to air pollution is associated with an elevated pr "
"en" => "Recent research suggests that short-term exposure to air pollution is associated with an elevated prevalence of respiratory infectious disease. In this paper, we examine the relationship between the air quality index and weekly cases of COVID-19 and influenza-like illnesses (ILI) in the United States. We address potential bias from omitted variables and measurement error with an instrumental variable approach using atmospheric temperature inversions. Unlike other recent studies, we find no relationship between air quality and either COVID-19 or ILI cases. Recent research suggests that short-term exposure to air pollution is associated with an elevated pr "
]
"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
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"indexedAt" => "2025-04-19T23:21:40.000Z"
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}
5 => Essec\Faculty\Model\Contribution {#2236
#_index: "academ_contributions"
#_id: "15422"
#_source: array:18 [
"id" => "15422"
"slug" => "15422-global-air-quality-inequality-over-2000-2020"
"yearMonth" => "2025-03"
"year" => "2025"
"title" => "Global air quality inequality over 2000–2020"
"description" => "SAGER, L. (2025). Global air quality inequality over 2000–2020. <i>Journal of Environmental Economics and Management</i>, 130, pp. 103112. SAGER, L. (2025). Global air quality inequality over 2000–2020. <i>Journal of Environmental Economic "
"authors" => array:1 [
0 => array:3 [
"name" => "SAGER Lutz"
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"keywords" => array:4 [
0 => "Air pollution"
1 => "Inequality"
2 => "Health"
3 => "Environmental justice"
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"updatedAt" => "2025-02-13 10:35:08"
"publicationUrl" => "https://doi.org/10.1016/j.jeem.2024.103112"
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"abstract" => array:2 [
"fr" => "Air pollution generates vast health burdens and economic costs around the world. Pollution exposure varies greatly, both between countries and within them. But the degree of air quality inequality and its’ trajectory have not been quantified at a global level. I use economic inequality indices to measure global inequality in exposure to ambient fine particles smaller than 2.5 μm (PM2.5). I find high and rising levels of global air quality inequality. The global PM2.5 Gini Index rose from 0.30 in 2000 to 0.35 in 2020, exceeding levels of income inequality in many countries. Air quality inequality is mostly driven by differences between countries and less so by variation within them, as decomposition analysis shows. A large share of those facing the highest levels of PM2.5 exposure live in only a few countries. Building on the Global Burden of Disease framework, I find that mortality associated with PM2.5 exposure is even more unequal than pollution exposure itself. The findings suggest that the common focus on inequality within countries overlooks an important global dimension of environmental justice. Air pollution generates vast health burdens and economic costs around the world. Pollution exposure "
"en" => "Air pollution generates vast health burdens and economic costs around the world. Pollution exposure varies greatly, both between countries and within them. But the degree of air quality inequality and its’ trajectory have not been quantified at a global level. I use economic inequality indices to measure global inequality in exposure to ambient fine particles smaller than 2.5 μm (PM2.5). I find high and rising levels of global air quality inequality. The global PM2.5 Gini Index rose from 0.30 in 2000 to 0.35 in 2020, exceeding levels of income inequality in many countries. Air quality inequality is mostly driven by differences between countries and less so by variation within them, as decomposition analysis shows. A large share of those facing the highest levels of PM2.5 exposure live in only a few countries. Building on the Global Burden of Disease framework, I find that mortality associated with PM2.5 exposure is even more unequal than pollution exposure itself. The findings suggest that the common focus on inequality within countries overlooks an important global dimension of environmental justice. Air pollution generates vast health burdens and economic costs around the world. Pollution exposure "
]
"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
]
"indexedAt" => "2025-04-19T23:21:40.000Z"
]
+lang: "fr"
+"_type": "_doc"
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+"parent": null
}
6 => Essec\Faculty\Model\Contribution {#2242
#_index: "academ_contributions"
#_id: "15423"
#_source: array:18 [
"id" => "15423"
"slug" => "15423-clean-identification-the-effects-of-the-clean-air-act-on-air-pollution-exposure-disparities-and-house-prices 15423-clean-identification-the-effects-of-the-clean-air-act-on-air-pollution-exposure-disparities-an "
"yearMonth" => "2025-02"
"year" => "2025"
"title" => "Clean Identification? The Effects of the Clean Air Act on Air Pollution, Exposure Disparities, and House Prices Clean Identification? The Effects of the Clean Air Act on Air Pollution, Exposure Disparities, and H "
"description" => "SAGER, L. et SINGER, G. (2025). Clean Identification? The Effects of the Clean Air Act on Air Pollution, Exposure Disparities, and House Prices. <i>American Economic Journal: Economic Policy</i>, 17(1), pp. 1-36. SAGER, L. et SINGER, G. (2025). Clean Identification? The Effects of the Clean Air Act on Air Pollut "
"authors" => array:2 [
0 => array:3 [
"name" => "SAGER Lutz"
"bid" => "B00820409"
"slug" => "sager-lutz"
]
1 => array:1 [
"name" => "SINGER Gregor"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "air pollution"
1 => "clean air act"
2 => "environmental justice"
3 => "regulation"
4 => "house prices"
]
"updatedAt" => "2025-04-10 09:57:29"
"publicationUrl" => "https://doi.org/10.1257/pol.20220745"
"publicationInfo" => array:3 [
"pages" => "1-36"
"volume" => "17"
"number" => "1"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "We assess the US Clean Air Act standards for fine particulate matter (PM2.5). Using high-resolution data, we find that the 2005 regulation reduced PM2.5 levels by 0.4 μg/ m 3 over five years, with larger effects in more polluted areas. Standard difference-in-differences overstates these effects by a factor of three because time trends differ by baseline pollution, a bias we overcome with three alternative approaches. We show that the regulation contributed to narrowing Urban-Rural and Black-White PM2.5 exposure disparities, but less than difference-in-differences suggest. Pollution damages capitalized into house prices, however, appear larger than previously thought when leveraging regulatory variation. We assess the US Clean Air Act standards for fine particulate matter (PM2.5). Using high-resolution "
"en" => "We assess the US Clean Air Act standards for fine particulate matter (PM2.5). Using high-resolution data, we find that the 2005 regulation reduced PM2.5 levels by 0.4 μg/ m 3 over five years, with larger effects in more polluted areas. Standard difference-in-differences overstates these effects by a factor of three because time trends differ by baseline pollution, a bias we overcome with three alternative approaches. We show that the regulation contributed to narrowing Urban-Rural and Black-White PM2.5 exposure disparities, but less than difference-in-differences suggest. Pollution damages capitalized into house prices, however, appear larger than previously thought when leveraging regulatory variation. We assess the US Clean Air Act standards for fine particulate matter (PM2.5). Using high-resolution "
]
"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
]
"indexedAt" => "2025-04-19T23:21:40.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.7820654
+"parent": null
}
7 => Essec\Faculty\Model\Contribution {#2245
#_index: "academ_contributions"
#_id: "15536"
#_source: array:18 [
"id" => "15536"
"slug" => "15536-income-inequality-and-carbon-consumption-evidence-from-environmental-engel-curves"
"yearMonth" => "2019-10"
"year" => "2019"
"title" => "Income inequality and carbon consumption: Evidence from Environmental Engel curves"
"description" => "SAGER, L. (2019). Income inequality and carbon consumption: Evidence from Environmental Engel curves. <i>Energy Economics</i>, 84, pp. 104507. SAGER, L. (2019). Income inequality and carbon consumption: Evidence from Environmental Engel curves "
"authors" => array:1 [
0 => array:3 [
"name" => "SAGER Lutz"
"bid" => "B00820409"
"slug" => "sager-lutz"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2025-03-31 11:17:56"
"publicationUrl" => "https://doi.org/10.1016/j.eneco.2019.104507"
"publicationInfo" => array:3 [
"pages" => "104507"
"volume" => "84"
"number" => ""
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "I investigate the relationship between income inequality and the carbon dioxide (CO2) content of consumption. I quantify the CO2 content of household expenditure using input-output analysis and estimate Environmental Engel curves (EECs) which describe the income–emissions relationship. Using EECs for the United States between 1996 and 2009, I decompose the change in CO2 over time and the distribution of emissions across households. In both cases, income is an important driver of household carbon. Finally, I describe a potential “equity-pollution dilemma”—progressive income redistribution may raise the demand for aggregate greenhouse gas emissions. I estimate that transfers raise emissions by 5.1% at the margin and by 2.3% under complete redistribution. I investigate the relationship between income inequality and the carbon dioxide (CO2) content of con "
"en" => "I investigate the relationship between income inequality and the carbon dioxide (CO2) content of consumption. I quantify the CO2 content of household expenditure using input-output analysis and estimate Environmental Engel curves (EECs) which describe the income–emissions relationship. Using EECs for the United States between 1996 and 2009, I decompose the change in CO2 over time and the distribution of emissions across households. In both cases, income is an important driver of household carbon. Finally, I describe a potential “equity-pollution dilemma”—progressive income redistribution may raise the demand for aggregate greenhouse gas emissions. I estimate that transfers raise emissions by 5.1% at the margin and by 2.3% under complete redistribution. I investigate the relationship between income inequality and the carbon dioxide (CO2) content of con "
]
"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
]
"indexedAt" => "2025-04-19T23:21:40.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.7820654
+"parent": null
}
8 => Essec\Faculty\Model\Contribution {#2246
#_index: "academ_contributions"
#_id: "15537"
#_source: array:18 [
"id" => "15537"
"slug" => "15537-estimating-the-effect-of-air-pollution-on-road-safety-using-atmospheric-temperature-inversions"
"yearMonth" => "2019-11"
"year" => "2019"
"title" => "Estimating the effect of air pollution on road safety using atmospheric temperature inversions"
"description" => "SAGER, L. (2019). Estimating the effect of air pollution on road safety using atmospheric temperature inversions. <i>Journal of Environmental Economics and Management</i>, 98, pp. 102250. SAGER, L. (2019). Estimating the effect of air pollution on road safety using atmospheric temperatur "
"authors" => array:1 [
0 => array:3 [
"name" => "SAGER Lutz"
"bid" => "B00820409"
"slug" => "sager-lutz"
]
]
"ouvrage" => ""
"keywords" => array:3 [
0 => "Air pollution"
1 => "Traffic accidents"
2 => "Road safety"
]
"updatedAt" => "2025-03-31 11:16:23"
"publicationUrl" => "https://doi.org/10.1016/j.jeem.2019.102250"
"publicationInfo" => array:3 [
"pages" => "102250"
"volume" => "98"
"number" => ""
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Does air quality influence road safety? We estimate the effect of increased air pollution on the number of road traffic accidents in the United Kingdom between 2009 and 2014. To address concerns of spurious correlation we exploit atmospheric temperature inversions as a source of plausibly exogenous variation in daily air pollution levels. We find an increase of 0.3–0.6% in the number of vehicles involved in accidents per day for each additional 1 μg/m3 of PM2.5. The finding suggests that less safe roads may present a large and previously overlooked cost of air pollution. The results are robust to a number of specifications and across various sub-samples. Does air quality influence road safety? We estimate the effect of increased air pollution on the num "
"en" => "Does air quality influence road safety? We estimate the effect of increased air pollution on the number of road traffic accidents in the United Kingdom between 2009 and 2014. To address concerns of spurious correlation we exploit atmospheric temperature inversions as a source of plausibly exogenous variation in daily air pollution levels. We find an increase of 0.3–0.6% in the number of vehicles involved in accidents per day for each additional 1 μg/m3 of PM2.5. The finding suggests that less safe roads may present a large and previously overlooked cost of air pollution. The results are robust to a number of specifications and across various sub-samples. Does air quality influence road safety? We estimate the effect of increased air pollution on the num "
]
"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
]
"indexedAt" => "2025-04-19T23:21:40.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.7820654
+"parent": null
}
9 => Essec\Faculty\Model\Contribution {#2247
#_index: "academ_contributions"
#_id: "15538"
#_source: array:18 [
"id" => "15538"
"slug" => "15538-crime-is-in-the-air-the-contemporaneous-relationship-between-air-pollution-and-crime"
"yearMonth" => "2020-05"
"year" => "2020"
"title" => "Crime Is in the Air: The Contemporaneous Relationship between Air Pollution and Crime"
"description" => "BONDY, M., ROTH, S. et SAGER, L. (2020). Crime Is in the Air: The Contemporaneous Relationship between Air Pollution and Crime. <i>Journal of the Association of Environmental and Resource Economists</i>, 7(3), pp. 555-585. BONDY, M., ROTH, S. et SAGER, L. (2020). Crime Is in the Air: The Contemporaneous Relationship betwe "
"authors" => array:3 [
0 => array:3 [
"name" => "SAGER Lutz"
"bid" => "B00820409"
"slug" => "sager-lutz"
]
1 => array:1 [
"name" => "BONDY Malvina"
]
2 => array:1 [
"name" => "ROTH Sefi"
]
]
"ouvrage" => ""
"keywords" => array:3 [
0 => "air pollution"
1 => "crime"
2 => "economic incentives"
]
"updatedAt" => "2025-03-31 11:14:20"
"publicationUrl" => "https://doi.org/10.1086/707127"
"publicationInfo" => array:3 [
"pages" => "555-585"
"volume" => "7"
"number" => "3"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Many empirical studies have examined the various determinants of crime. However, the link between crime and air pollution has been largely overlooked. In this paper we study whether exposure to ambient air pollution affects crime using daily administrative data for London in 2004–5. For identification, we estimate models with ward fixed effects and implement two instrumental variable strategies, using atmospheric inversions and wind direction as exogenous shocks to local pollution. We find that air pollution has a positive and statistically significant impact on overall crime and on several major crime categories, including those with economic motives. Importantly, the effect also occurs at pollution levels that are well below current regulatory standards and appears to be unevenly distributed across income groups. Our results suggest that reducing air pollution in urban areas may be an effective measure to reduce crime and that air pollution forecasts can be used to improve predictive policing. Many empirical studies have examined the various determinants of crime. However, the link between cr "
"en" => "Many empirical studies have examined the various determinants of crime. However, the link between crime and air pollution has been largely overlooked. In this paper we study whether exposure to ambient air pollution affects crime using daily administrative data for London in 2004–5. For identification, we estimate models with ward fixed effects and implement two instrumental variable strategies, using atmospheric inversions and wind direction as exogenous shocks to local pollution. We find that air pollution has a positive and statistically significant impact on overall crime and on several major crime categories, including those with economic motives. Importantly, the effect also occurs at pollution levels that are well below current regulatory standards and appears to be unevenly distributed across income groups. Our results suggest that reducing air pollution in urban areas may be an effective measure to reduce crime and that air pollution forecasts can be used to improve predictive policing. Many empirical studies have examined the various determinants of crime. However, the link between cr "
]
"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
]
"indexedAt" => "2025-04-19T23:21:40.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.7820654
+"parent": null
}
10 => Essec\Faculty\Model\Contribution {#2248
#_index: "academ_contributions"
#_id: "15542"
#_source: array:18 [
"id" => "15542"
"slug" => "15542-inequality-and-the-environment-an-introduction-to-the-special-issue"
"yearMonth" => "2023-05"
"year" => "2023"
"title" => "Inequality and the environment: An introduction to the special issue"
"description" => "DRUPP, M., MEYA, J., QUAAS, M. et SAGER, L. (2023). Inequality and the environment: An introduction to the special issue. <i>Journal of Environmental Economics and Management</i>, 119. DRUPP, M., MEYA, J., QUAAS, M. et SAGER, L. (2023). Inequality and the environment: An introduction "
"authors" => array:4 [
0 => array:3 [
"name" => "SAGER Lutz"
"bid" => "B00820409"
"slug" => "sager-lutz"
]
1 => array:1 [
"name" => "DRUPP Moritz"
]
2 => array:1 [
"name" => "MEYA Jasper"
]
3 => array:1 [
"name" => "QUAAS Martin"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2025-04-01 18:53:07"
"publicationUrl" => "https://doi.org/10.1016/j.jeem.2023.102812"
"publicationInfo" => array:3 [
"pages" => ""
"volume" => "119"
"number" => ""
]
"type" => array:2 [
"fr" => "Editeur invité d'un numéro spécial"
"en" => "Guest editor of a journal special issue"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => ""
"en" => ""
]
"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
]
"indexedAt" => "2025-04-19T23:21:40.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 6.7820654
+"parent": null
}
]
"avatar" => "https://faculty.essec.edu/wp-content/uploads/avatars/B00820409.jpg"
"contributionCounts" => 11
"personalLinks" => array:3 [
0 => "<a href="https://orcid.org/0000-0002-3060-0053" target="_blank">ORCID</a>"
1 => "<a href="https://scholar.google.com/citations?user=AWX2jiMAAAAJ&hl=fr&oi=ao" target="_blank">Google scholar</a> <a href="https://scholar.google.com/citations?user=AWX2jiMAAAAJ&hl=fr&oi=ao" target="_blank">Google "
2 => "<a href="https://sites.google.com/view/lutzsager/" target="_blank">Personal site</a>"
]
"docTitle" => "Lutz SAGER"
"docSubtitle" => "Professeur assistant"
"docDescription" => "Département: Economie<br>Campus de Cergy"
"docType" => "cv"
"docPreview" => "<img src="https://faculty.essec.edu/wp-content/uploads/avatars/B00820409.jpg"><span><span>Lutz SAGER</span><span>B00820409</span></span> <img src="https://faculty.essec.edu/wp-content/uploads/avatars/B00820409.jpg"><span><span>Lutz SAGER "
"academ_cv_info" => ""
]
#_index: "academ_cv"
+lang: "fr"
+"_type": "_doc"
+"_score": 5.0369525
+"parent": null
}
