Social and economic impacts of climate
Structured Abstract
BACKGROUND
For centuries, thinkers have considered whether and how climatic conditions influence the nature of societies and the performance of economies. A multidisciplinary renaissance of quantitative empirical research has begun to illuminate key linkages in the coupling of these complex natural and human systems, uncovering notable effects of climate on health, agriculture, economics, conflict, migration, and demographics.
ADVANCES
Past scholars of climate-society interactions were limited to theorizing on the basis of anecdotal evidence; advances in computing, data availability, and study design now allow researchers to draw generalizable causal inferences tying climatic events to social outcomes. This endeavor has demonstrated that a range of climate factors have substantial influence on societies and economies, both past and present, with important implications for the future.
Temperature, in particular, exerts remarkable influence over human systems at many social scales; heat induces mortality, has lasting impact on fetuses and infants, and incites aggression and violence while lowering human productivity. High temperatures also damage crops, inflate electricity demand, and may trigger population movements within and across national borders. Tropical cyclones cause mortality, damage assets, and reduce economic output for long periods. Precipitation extremes harm economies and populations predominately in agriculturally dependent settings. These effects are often quantitatively substantial; for example, we compute that temperature depresses current U.S. maize yields roughly 48%, warming trends since 1980 elevated conflict risk in Africa by 11%, and future warming may slow global economic growth rates by 0.28 percentage points year−1.
Much research aims to forecast impacts of future climate change, but we point out that society may also benefit from attending to ongoing impacts of climate in the present, because current climatic conditions impose economic and social burdens on populations today that rival in magnitude the projected end-of-century impacts of climate change. For instance, we calculate that current temperature climatologies slow global economic growth roughly 0.25 percentage points year−1, comparable to the additional slowing of 0.28 percentage points year−1 projected from future warming.
Both current and future losses can theoretically be avoided if populations adapt to fully insulate themselves from the climate—why this has not already occurred everywhere remains a critical open question. For example, clear patterns of adaptation in health impacts and in response to tropical cyclones contrast strongly with limited adaptation in agricultural and macroeconomic responses to temperature. Although some theories suggest these various levels of adaptation ought to be economically optimal, in the sense that costs of additional adaptive actions should exactly balance the benefits of avoided climate-related losses, there is no evidence that allows us to determine how closely observed “adaptation gaps” reflect optimal investments or constrained suboptimal adaptation that should be addressed through policy.
OUTLOOK
Recent findings provide insight into the historical evolution of the global economy; they should inform how we respond to modern climatic conditions, and they can guide how we understand the consequences of future climate changes. Although climate is clearly not the only factor that affects social and economic outcomes, new quantitative measurements reveal that it is a major factor, often with first-order consequences. Research over the coming decade will seek to understand the numerous mechanisms that drive these effects, with the hope that policy may interfere with the most damaging pathways of influence.
Both current and future generations will benefit from near-term investigations. “Cracking the code” on when, where, and why adaptation is or is not successful will generate major social benefits today and in the future. In addition, calculations used to design global climate change policies require as input “damage functions” that describe how social and economic losses accrue under different climatic conditions, essential elements that now can (and should) be calibrated to real-world relationships. Designing effective, efficient, and fair policies to manage anthropogenic climate change requires that we possess a quantitative grasp of how different investments today may affect economic and social possibilities in the future.

Two globes depict two possible futures for how the climate might change and how those changes are likely to affect humanity, based on recent empirical findings.
Base colors are temperature change under “Business as usual” (left, RCP 8.5) and “stringent emissions mitigation” (right, RCP 2.6). Overlaid are composite satellite images of nighttime lights with rescaled intensity reflecting changes in economic productivity in each climate scenario.
Abstract
For centuries, thinkers have considered whether and how climatic conditions—such as temperature, rainfall, and violent storms—influence the nature of societies and the performance of economies. A multidisciplinary renaissance of quantitative empirical research is illuminating important linkages in the coupled climate-human system. We highlight key methodological innovations and results describing effects of climate on health, economics, conflict, migration, and demographics. Because of persistent “adaptation gaps,” current climate conditions continue to play a substantial role in shaping modern society, and future climate changes will likely have additional impact. For example, we compute that temperature depresses current U.S. maize yields by ~48%, warming since 1980 elevated conflict risk in Africa by ~11%, and future warming may slow global economic growth rates by ~0.28 percentage points per year. In general, we estimate that the economic and social burden of current climates tends to be comparable in magnitude to the additional projected impact caused by future anthropogenic climate changes. Overall, findings from this literature point to climate as an important influence on the historical evolution of the global economy, they should inform how we respond to modern climatic conditions, and they can guide how we predict the consequences of future climate changes.
Get full access to this article
View all available purchase options and get full access to this article.
Already a Subscriber?Sign In
Supplementary Material
Summary
Materials and Methods
Figs. S1 and S2
References
Resources
File (carleton.sm.pdf)
References and Notes
1
Aristotle, Meteorologica, transl. H. D. P. Lee (Loeb Classical Library, 1952), vol. 397.
2
C. B. De Montesquieu, The Spirit of Laws (Cosimo, 2011).
3
S. Howe, Empire: A Very Short Introduction (Oxford Paperbacks, 2002).
4
MacKworth N. H., Effects of heat on wireless telegraphy operators hearing and recording Morse messages. Br. J. Ind. Med. 3, 143–158 (1946). 20991172
5
Froom P., Caine Y., Shochat I., Ribak J., Heat stress and helicopter pilot errors. J. Occup. Med. 35, 720–724 (1993). 10.1097/00043764-199307000-00016
6
R. M. Solow, Sustainability: An Economist’s Perspective (1991).
7
Nordhaus W. D., Optimal greenhouse-gas reductions and tax policy in the “DICE” model. Am. Econ. Rev. 83, 313–317 (1993).
8
S. T. Waldhoff, D. Anthoff, S. Rose, R. S. Tol, The marginal damage costs of different greenhouse gases: An application of FUND. Economics 8, 1–33 (2011). 10.5018/economics-ejournal.ja.2014-31
9
N. Stern, Stern Review: The Economics of Climate Change (Cambridge Univ. Press, 2006).
10
Revesz R. L., Howard P. H., Arrow K., Goulder L. H., Kopp R. E., Livermore M. A., Oppenheimer M., Sterner T., Global warming: Improve economic models of climate change. Nature 508, 173–175 (2014). 10.1038/508173a
11
Interagency Working Group on Socal Cost of Carbon, Social cost of carbon for regulatory impact analysis—under executive order 12866, Tech. Rep., United States Government (2010).
12
Department for Environment, Food and Rural Affairs, The social cost of carbon review, Tech. Rep., UK Department for Environment, Food and Rural Affairs (2005).
13
R. E. Kopp, S. M. Hsiang, M. Oppenheimer, Empirically calibrating damage functions and considering stochasticity when integrated assessment models are used as decision tools. Impacts World 2013, International Conference on Climate Change Effects (2013).
14
Burke M., Craxton M., Kolstad C. D., Onda C., Allcott H., Baker E., Barrage L., Carson R., Gillingham K., Graff-Zivin J., Greenstone M., Hallegatte S., Hanemann W. M., Heal G., Hsiang S., Jones B., Kelly D. L., Kopp R., Kotchen M., Mendelsohn R., Meng K., Metcalf G., Moreno-Cruz J., Pindyck R., Rose S., Rudik I., Stock J., Tol R. S. J., Opportunities for advances in climate change economics. Science 352, 292–293 (2016). 10.1126/science.aad9634
15
P. Peduzzi, A. De Bono, C. Herold, Making development sustainable: The future of disaster risk management. Global assessment report on disaster risk reduction (2015). www.preventionweb.net/english/hyogo/gar/2015/en/gar-pdf/GAR2015_EN.pdf.
16
H. C. Kunreuther, E. O. Michel-Kerjan, At War with the Weather: Managing Large-Scale Risks in a New Era of Catastrophes (MIT Press, 2009).
17
D. Bryla-Tressler et al., Weather index insurance for agriculture: Guidance for development practitioners, Tech. Rep., World Bank (2011).
18
Holland P. W., Statistics and causal inference. J. Am. Stat. Assoc. 81, 945–960 (1986). 10.1080/01621459.1986.10478354
19
Hsiang S. M., Climate econometrics. Annu. Rev. Res. Econ. (2016). 10.1146/annurev-resource-100815-095343
20
Schlenker W., Lobell D., Robust negative impacts of climate change on African agriculture. Environ. Res. Lett. 5, 014010 (2010). 10.1088/1748-9326/5/1/014010
21
Schlenker W., Roberts M. J., Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change. Proc. Natl. Acad. Sci. U.S.A. 106, 15594–15598 (2009). 10.1073/pnas.0906865106
22
Schlenker W., Hanemann W. M., Fisher S. C., Water availability, degree days and the potential impact of climate change on irrigated agriculture in California. Clim. Change 81, 19–38 (2007). 10.1007/s10584-005-9008-z
23
M. Burke, K. Emerick, Adaptation to climate change: Evidence from US agriculture. Am. Econ. J.: Econ. Pol. 8, 106–140 (2016). 10.1257/pol.20130025; http://ssrn.com/abstract=2144928
24
Auffhammer M., Aroonruengsawat A., Simulating the impacts of climate change, prices and population on California’s residential electricity consumption. Clim. Change 109, 191–210 (2011). 10.1007/s10584-011-0299-y
25
M. Auffhammer, Estimating extensive and intensive margin adaptation to climate change from consumption data, Working paper (2015). https://business.illinois.edu/finance/wp-content/uploads/sites/46/2015/08/15_10_13_Auffhammer_Adaptation.pdf.
26
Hsiang S. M., Temperatures and cyclones strongly associated with economic production in the Caribbean and Central America. Proc. Natl. Acad. Sci. U.S.A. 107, 15367–15372 (2010). 10.1073/pnas.1009510107
27
Hsiang S. M., Meng K. C., Cane M. A., Civil conflicts are associated with the global climate. Nature 476, 438–441 (2011). 10.1038/nature10311
28
M. Harari, E. La Ferrara, Conflict, climate and cells: A disaggregated analysis, Working paper (2013). http://economics.mit.edu/files/10058.
29
P. Bastos, M. Busso, S. Miller, Adapting to climate change: Long-term effects of drought on local labor markets, Working paper (2013). http://idbdocs.iadb.org/wsdocs/getdocument.aspx?docnum=38335273.
30
Hoddinott J., Kinsey B., Child growth in the time of drought. Oxf. Bull. Econ. Stat. 63, 409–436 (2001). 10.1111/1468-0084.t01-1-00227
31
Deschênes O., Greenstone M., Climate change, mortality, and adaptation: Evidence from annual fluctuations in weather in the US. Am. Econ. J. Appl. Econ. 3, 152–185 (2011). 10.1257/app.3.4.152
32
T. Deryugina, S. M. Hsiang, Does the environment still matter? Daily temperature and income in the United States, NBER working paper 20750 (2014). www.nber.org/papers/w20750.pdf.
33
Fishman R. M., More uneven distributions overturn benefits of higher precipitation for crop yields. Environ. Res. Lett. 11.2, 024004 (2016).
34
Lobell D. B., Hammer G. L., McLean G., Messina C., Roberts M. J., Schlenker W., The critical role of extreme heat for maize production in the United States. Nat. Clim. Chang. 3, 497–501 (2013). 10.1038/nclimate1832
35
J. Colmer, Weather, labour reallocation, and industrial production: Evidence from India, Working paper (2016). https://drive.google.com/file/d/0B-BakBtoHwF8UjNtU3ZONmdjOTA/view.
36
Roberts M. J., Schlenker W., Identifying supply and demand elasticities of agricultural commodities: Implications for the US ethanol mandate. Am. Econ. Rev. 103, 2265–2295 (2013). 10.1257/aer.103.6.2265
37
Munshi K., Networks in the modern economy: Mexican migrants in the US labor market. Q. J. Econ. 118, 549–599 (2003). 10.1162/003355303321675455
38
A. Barreca, O. Deschênes, M. Guldi, Maybe next month? Temperature shocks, climate change, and dynamic adjustments in birth rates, Working paper, National Bureau of Economic Research (2015).
39
Deschênes O., Moretti E., Extreme weather events, mortality and migration. Rev. Econ. Stat. 91, 659–681 (2009). 10.1162/rest.91.4.659
40
Basu R., Samet J. M., Relation between elevated ambient temperature and mortality: A review of the epidemiologic evidence. Epidemiol. Rev. 24, 190–202 (2002). 10.1093/epirev/mxf007
41
Deschênes O., Temperature, human health, and adaptation: A review of the empirical literature. Energy Econ. 46, 606–619 (2014). 10.1016/j.eneco.2013.10.013
42
Hajat S., Armstrong B. G., Gouveia N., Wilkinson P., Mortality displacement of heat-related deaths: A comparison of Delhi, São Paulo, and London. Epidemiology 16, 613–620 (2005). 10.1097/01.ede.0000164559.41092.2a
43
Barreca A., Clay K., Deschênes O., Greenstone M., Shapiro J. S., Adapting to climate change: The remarkable decline in the US temperature-mortality relationship over the 20th century. J. Polit. Econ. 124, 105–159 (2016). 10.1086/684582
44
Guo Y., Gasparrini A., Armstrong B., Li S., Tawatsupa B., Tobias A., Lavigne E., de Sousa Zanotti Stagliorio Coelho M., Leone M., Pan X., Tong S., Tian L., Kim H., Hashizume M., Honda Y., Guo Y.-L. L., Wu C.-F., Punnasiri K., Yi S.-M., Michelozzi P., Saldiva P. H. N., Williams G., Global variation in the effects of ambient temperature on mortality: A systematic evaluation. Epidemiology 25, 781–789 (2014). 10.1097/EDE.0000000000000165
45
T. Houser et al., American Climate Prospectus: Economic Risks in the United States (2015).
46
R. Burgess, O. Deschênes, D. Donaldson, M. Greenstone, The unequal effects of weather and climate change: Evidence from mortality in India. Working paper (2014). www.lse.ac.uk/economics/people/facultyPersonalPages/facultyFiles/RobinBurgess/UnequalEffectsOfWeatherAndClimateChange140514.pdf.
47
Barreca A. I., Climate change, humidity, and mortality in the United States. J. Environ. Econ. Manage. 63, 19–34 (2012). 10.1016/j.jeem.2011.07.004
48
Hsiang S. M., Narita D., Adaptation to cyclone risk: Evidence from the global cross-section. Climate Change Econ. 3, 1250011 (2012). 10.1142/S201000781250011X
49
J. K. Anttila-Hughes, S. M. Hsiang, Destruction, disinvestment, and death: Economic and human losses following environmental disaster, Working paper (2012). http://papers.ssrn.com/abstract_id=2220501.
50
M. Kudamatsu, T. Persson, D. Strömberg, Weather and Infant Mortality in Africa. Working paper (2012).
51
S. Hajat et al., Extreme Weather Events and Public Health Responses. Epidemiology 16, 613–620 (2005). 10.1097/01.ede.0000164559.41092.2a
52
N. R. Ziebarth, M. Schmitt, M. Karlsson, The short-term population health effects of weather and pollution, Working paper (2014). http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2377611.
53
Kovats R. S., Hajat S., Wilkinson P., Contrasting patterns of mortality and hospital admissions during hot weather and heat waves in Greater London, UK. Occup. Environ. Med. 61, 893–898 (2004). 10.1136/oem.2003.012047
54
O’Neill M. S., Hajat S., Zanobetti A., Ramirez-Aguilar M., Schwartz J., Impact of control for air pollution and respiratory epidemics on the estimated associations of temperature and daily mortality. Int. J. Biometeorol. 50, 121–129 (2005). 10.1007/s00484-005-0269-z
55
Barreca A. I., Shimshack J. P., Absolute humidity, temperature, and influenza mortality: 30 years of county-level evidence from the United States. Am. J. Epidemiol. 176 (suppl. 7), S114–S122 (2012). 10.1093/aje/kws259
56
World Health Organization, A global brief on vector-borne diseases. Tech. Rep., World Health Organization (2014).
57
Craig M. H., Snow R. W., le Sueur D., A climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitol. Today 15, 105–111 (1999). 10.1016/S0169-4758(99)01396-4
58
Gething P. W., Van Boeckel T. P., Smith D. L., Guerra C. A., Patil A. P., Snow R. W., Hay S. I., Modelling the global constraints of temperature on transmission of Plasmodium falciparum and P. vivax. Parasit. Vectors 4, 92 (2011). 10.1186/1756-3305-4-92
59
Zhou G., Minakawa N., Githeko A. K., Yan G., Association between climate variability and malaria epidemics in the East African highlands. Proc. Natl. Acad. Sci. U.S.A. 101, 2375–2380 (2004). 10.1073/pnas.0308714100
60
Bhatt S., Gething P. W., Brady O. J., Messina J. P., Farlow A. W., Moyes C. L., Drake J. M., Brownstein J. S., Hoen A. G., Sankoh O., Myers M. F., George D. B., Jaenisch T., Wint G. R. W., Simmons C. P., Scott T. W., Farrar J. J., Hay S. I., The global distribution and burden of dengue. Nature 496, 504–507 (2013). 10.1038/nature12060
61
Barreca A. I., The long-term economic impact of in utero and postnatal exposure to malaria. J. Hum. Resour. 45, 865–892 (2010). 10.3368/jhr.45.4.865
62
Colón-González F. J., Fezzi C., Lake I. R., Hunter P. R., The effects of weather and climate change on dengue. PLOS Negl. Trop. Dis. 7, e2503 (2013). 24244765
63
McCord G. C., Malaria ecology and climate change. Eur. Phys. J. Spec. Top. 225.3459–470(2016).
64
Small J., Goetz S. J., Hay S. I., Climatic suitability for malaria transmission in Africa, 1911-1995. Proc. Natl. Acad. Sci. U.S.A. 100, 15341–15345 (2003). 10.1073/pnas.2236969100
65
Gething P. W., Smith D. L., Patil A. P., Tatem A. J., Snow R. W., Hay S. I., Climate change and the global malaria recession. Nature 465, 342–345 (2010). 10.1038/nature09098
66
Almond D., Currie J., Killing me softly: The fetal origins hypothesis. J. Econ. Perspect. 25, 153–172 (2011). 10.1257/jep.25.3.153
67
Deschênes O., Greenstone M., Guryan J., Climate change and birth weight. Am. Econ. Rev. 99, 211–217 (2009). 10.1257/aer.99.2.211
68
Currie J., Rossin-Slater M., Weathering the storm: Hurricanes and birth outcomes. J. Health Econ. 32, 487–503 (2013). 10.1016/j.jhealeco.2013.01.004
69
J. Wilde, B. Apouey. T. Jung, Heat waves at conception and later life outcomes, Working paper (2014). http://economics.usf.edu/PDF/Wilde_Apouey_Jung_HeatWavesConception.pdf.
70
A. Isen, M. Rossin-Slater, R. Walker, Heat and long-run human capital formation, Working paper (2015). www.iza.org/conference_files/environ_2015/rossin-slater_m7513.pdf.
71
Maccini S., Yang D., Under the weather: Health, schooling, and economic consequences of early-life rainfall. Am. Econ. Rev. 99, 1006–1026 (2009). 10.1257/aer.99.3.1006
72
Alderman H., Hoddinott J., Kinsey B., Long term consequences of early childhood malnutrition. Oxf. Econ. Pap. 58, 450–474 (2006). 10.1093/oep/gpl008
73
Auffhammer M., Schlenker W., Empirical studies on agricultural impacts and adaptation. Energy Econ. 46, 555–561 (2014). 10.1016/j.eneco.2014.09.010
74
Lobell D. B., Burke M. B., Why are agricultural impacts of climate change so uncertain? The importance of temperature relative to precipitation. Environ. Res. Lett. 3, 034007 (2008). 10.1088/1748-9326/3/3/034007
75
Schlenker W., Hanemann W. M., Fisher A. C., Will US agriculture really benefit from global warming? Accounting for irrigation in the hedonic approach. Am. Econ. Rev. 95, 395–406 (2005). 10.1257/0002828053828455
76
Auffhammer M., Ramanathan V., Vincent J. R., Climate change, the monsoon, and rice yield in India. Clim. Change 111, 411–424 (2012). 10.1007/s10584-011-0208-4
77
Moore F. C., Lobell D. B., The fingerprint of climate trends on European crop yields. Proc. Natl. Acad. Sci. U.S.A. 112, 2670–2675 (2015). 10.1073/pnas.1409606112
78
Welch J. R., Vincent J. R., Auffhammer M., Moya P. F., Dobermann A., Dawe D., Rice yields in tropical/subtropical Asia exhibit large but opposing sensitivities to minimum and maximum temperatures. Proc. Natl. Acad. Sci. U.S.A. 107, 14562–14567 (2010). 10.1073/pnas.1001222107
79
R. Guiteras, The impact of climate change on Indian agriculture. University of Maryland, College Park, Working paper (2009).
80
R. M. Fishman, Climate change, rainfall variability, and adaptation through irrigation: Evidence from Indian agriculture, Working paper (2011).
81
Duflo E., Pande R., Dams. Q. J. Econ. 122, 601–646 (2007). 10.1162/qjec.122.2.601
82
A. Wineman, B. Mulenga, Sensitivity of field crops to climate shocks in Zambia, Working paper 18 (2014). http://fsg.afre.msu.edu/climate_change/Crop_yield_and_weather_in_Zambia_August_16,_2014.pdf.
83
Lobell D. B., Burke M. B., Tebaldi C., Mastrandrea M. D., Falcon W. P., Naylor R. L., Prioritizing climate change adaptation needs for food security in 2030. Science 319, 607–610 (2008). 10.1126/science.1152339
84
André G., Engel B., Berentsen P. B., Vellinga T. V., Oude Lansink A. G. J. M., Quantifying the effect of heat stress on daily milk yield and monitoring dynamic changes using an adaptive dynamic model. J. Dairy Sci. 94, 4502–4513 (2011). 10.3168/jds.2010-4139
85
Bryant J., López-Villalobos N., Pryce J. E., Holmes C. W., Johnson D. L., N. Lo′ pez-Villalobos, J. Pryce, C. Holmes, D. Johnson, Quantifying the effect of thermal environment on production traits in three breeds of dairy cattle in New Zealand. N. Z. J. Agric. Res. 50, 327–338 (2007). 10.1080/00288230709510301
86
N. Key, S. Sneeringer, D. Marquardt, Climate change, heat stress, and US dairy production. USDA-ERS Economic Research Report (2014).
87
J. Amundson, T. Mader, R. Rasby, Q. Hu, Environmental effects on pregnancy rate in beef cattle. J. Anim. Sci. 84.12 3415–3420 (2006).
88
Schlenker W., Roberts M. J., Lobell D. B., US maize adaptability. Nat. Clim. Chang. 3, 690–691 (2013). 10.1038/nclimate1959
89
Hornbeck R., The enduring impact of the American Dust Bowl: Short and long-run adjustments to environmental catastrophe. Am. Econ. Rev. 102, 1477–1507 (2012). 10.1257/aer.102.4.1477
90
Olmstead A. L., Rhode P. W., Adapting North American wheat production to climatic challenges, 1839-2009. Proc. Natl. Acad. Sci. U.S.A. 108, 480–485 (2011). 10.1073/pnas.1008279108
91
A. L. Olmstead, P. W. Rhode, in The Economics of Climate Change: Adaptations Past and Present (Univ. of Chicago Press, 2011), pp. 169–194.
92
R. Sutch, in The Economics of Climate Change: Adaptations Past and Present (Univ. of Chicago Press, 2011), pp. 195–223.
93
Annan F., Schlenker W., Federal crop insurance and the disincentive to adapt to extreme heat. Am. Econ. Rev. 105, 262–266 (2015). 10.1257/aer.p20151031
94
G. Heal, J. Park, Goldilocks economies? Temperature stress and the direct impacts of climate change, NBER Working Paper 21119, (2015).
95
O. Seppanen, W. J. Fisk, Q. Lei, Room temperature and productivity in office work. Lawrence Berkeley National Laboratory (2006).
96
J. S. Graff Zivin, S. M. Hsiang, M. J. Neidell, Temperature and human capital in the short-and long-run. NBER Working Paper 21157 (2015).
97
Graff Zivin J., Neidell M., Temperature and the allocation of time: Implications for climate change. J. Labor Econ. 32, 1–26 (2014). 10.1086/671766
98
E. Somanathan, R. Somanathan, A. Sudarshan, M. Tewari, The impact of temperature on productivity and labor supply: Evidence from Indian manufacturing, Working paper (2015). www.isid.ac.in/~pu/dispapers/dp14-10.pdf.
99
A. Adhvaryu, N. Kala, A. Nyshadham, The light and the heat: Productivity co-benefits of energy-saving technology, Working paper (2014). http://economics.yale.edu/sites/default/files/adhvaryu.pdf.
100
Burke M., Hsiang S. M., Miguel E., Global non-linear effect of temperature on economic production. Nature 527, 235–239 (2015). 10.1038/nature15725
101
G. Heal, J. Park, Feeling the heat: Temperature, physiology and the wealth of nations. NBER Working Paper 19725 (2013).
102
Wenz L., Levermann A., Enhanced economic connectivity to foster heat stress-related losses. Sci. Adv. 2, e1501026 (2016). 27386555
103
Auffhammer M., Mansur E. T., Measuring climatic impacts on energy consumption: A review of the empirical literature. Energy Econ. 46, 522–530 (2014). 10.1016/j.eneco.2014.04.017
104
E. d. Cian et al., Climate change impacts on energy demand, CMCC Research Paper (2014). www.cmcc.it/wp-content/uploads/2015/02/rp0240-cip-12-20141.pdf.
105
Davis L. W., Gertler P. J., Contribution of air conditioning adoption to future energy use under global warming. Proc. Natl. Acad. Sci. U.S.A. 112, 5962–5967 (2015). 10.1073/pnas.1423558112
106
Sailor D. J., Pavlova A., Air conditioning market saturation and long-term response of residential cooling energy demand to climate change. Energy 28, 941–951 (2003). 10.1016/S0360-5442(03)00033-1
107
Auffhammer M., Cooling China: The weather dependence of air conditioner adoption. Front. Econ. China 9, 70–-84 (2014).
108
Jaglom W. S., McFarland J. R., Colley M. F., Mack C. B., Venkatesh B., Miller R. L., Haydel J., Schultz P. A., Perkins B., Casola J. H., Martinich J. A., Cross P., Kolian M. J., Kayin S., Assessment of projected temperature impacts from climate change on the US electric power sector using the integrated planning modelQR. Energy Policy 73, 524–539 (2014). 10.1016/j.enpol.2014.04.032
109
McDermott G. R., Nilsen Ø. A., Electricity prices, river temperatures, and cooling water scarcity. Land Econ. 90, 131–148 (2014). 10.3368/le.90.1.131
110
Linnerud K., Mideksa T. K., Eskeland G. S., The impact of climate change on nuclear power supply. Energy J. 32, 1 (2011). 10.5547/ISSN0195-6574-EJ-Vol32-No1-6
111
Muñoz J. R., Sailor D. J., J. R. Munõz, D. J. Sailor, A modelling methodology for assessing the impact of climate variability and climatic change on hydroelectric generation. Energy Convers. Manage. 39, 1459–1469 (1998). 10.1016/S0196-8904(98)00017-X
112
J. Eyer, C. Wichman, The effect of water supply shocks on the electricity generation mix: Implications for climate change, Working paper, pp. 1459–1469 (2014).
113
Feyrer J., Sacerdote B., Colonialism and modern income: Islands as natural experiments. Rev. Econ. Stat. 91, 245–262 (2009). 10.1162/rest.91.2.245
114
Kaluza P., A. Kölzsch, M. T. Gastner, B. Blasius, The complex network of global cargo ship movements. J. R. Soc. Interface 7, 1093 (2010). 10.1098/rsif.2009.0495
115
Jones B., Olken B., Climate shocks and exports. Am. Econ. Rev. Pap. Proc. 100, 454–459 (2010). 10.1257/aer.100.2.454
116
S. M. Hsiang, A. S. Jina, The causal effect of environmental catastrophe on long-run economic growth: Evidence from 6,700 cyclones, NBER Working Paper 20352 (2014).
117
Kazianga H., Udry C., Consumption smoothing? Livestock, insurance and drought in rural Burkina Faso. J. Dev. Econ. 79, 413–446 (2006). 10.1016/j.jdeveco.2006.01.011
118
Desmet K., Rossi-Hansberg E., On the spatial economic impact of global warming. J. Urban Econ. 88, 16–37 (2015). 10.1016/j.jue.2015.04.004
119
A. Costinot, D. Donaldson, C. Smith, Evolving comparative advantage and the impact of climate change in agricultural markets: Evidence from 1.7 million fields around the world. J. Pol. Econ. (2016).
120
d’Amour C. B., Wenz L., Kalkuhl M., Steckel J. C., Creutzig F., Teleconnected food supply shocks. Environ. Res. Lett. 11, 035007 (2016). 10.1088/1748-9326/11/3/035007
121
Miguel E., Satyanath S., Sergenti E., Economic shocks and civil conflict: An instrumental variables approach. J. Polit. Econ. 112, 725–753 (2004). 10.1086/421174
122
Barrios S., Bertinelli L., Strobl E., Trends in rainfall and economic growth in Africa: A neglected cause of the African growth tragedy. Rev. Econ. Stat. 92, 350–366 (2010). 10.1162/rest.2010.11212
123
Hsiang S. M., Meng K. C., Tropical economics. Am. Econ. Rev. 105, 257–261 (2015). 10.1257/aer.p20151030
124
R. Colacito, B. Hoffmann, T. Phan, Temperatures and growth: A panel analysis of the United States, Working paper (2014). http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2546456.
125
P. Zhang, J. Zhang, O. Deschênes, K. Meng, Temperature effects on productivity and factor reallocation: Evidence from a half million chinese manufacturing plants, Working paper (2016). http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2654406
126
Hsiang S. M., Jina A. S., Geography, depreciation, and growth. Am. Econ. Rev. 105, 252–256 (2015). 10.1257/aer.p20151029
127
Dell M., Jones B. F., Olken B. A., Climate change and economic growth: Evidence from the last half century. Am.Econ. J. Macroecon. 4, 66–95 (2012). 10.1257/mac.4.3.66
128
Dell M., Jones B. F., Olken B. A., Temperature shocks and economic growth: Evidence from the last half century. Am. Econ. J. Macroecon. 4, 66–95 (2012). 10.1257/mac.4.3.66
129
Burke M., Gong E., Jones K., Income shocks and HIV in Africa. Econ. J. 125, 1157–1189 (2015). 10.1111/ecoj.12149
130
Hsiang S. M., Burke M., Miguel E., Quantifying the influence of climate on human conflict. Science 341, 1235367 (2013). 10.1126/science.1235367
131
Burke M., Hsiang S. M., Miguel E., Climate and conflict. Annu. Rev. Econ. 7, 577–617 (2015). 10.1146/annurev-economics-080614-115430
132
Kenrick D. T., Macfarlane S. W., Ambient temperature and horn honking: A field study of the heat/aggression relationship. Environ. Behav. 18, 179–191 (1986). 10.1177/0013916586182002
133
Kolb P., Gockel C., Werth L., The effects of temperature on service employees’ customer orientation: An experimental approach. Ergonomics 55, 621–635 (2012). 10.1080/00140139.2012.659763
134
P. Baylis, Temperature and temperament: Evidence from a billion tweets, Working paper (2015). https://ei.haas.berkeley.edu/research/papers/WP265.pdf.
135
Larrick R. P., Timmerman T. A., Carton A. M., Abrevaya J., Temper, temperature, and temptation: Heat-related retaliation in baseball. Psychol. Sci. 22, 423–428 (2011). 10.1177/0956797611399292
136
Ranson M., Crime, weather, and climate change. J. Environ. Econ. Manage. 67, 274–302 (2014). 10.1016/j.jeem.2013.11.008
137
Jacob B., Lefgren L., Moretti E., The dynamics of criminal behavior: Evidence from weather shocks. J. Hum. Resour. XLII, 489–527 (2007). 10.3368/jhr.XLII.3.489
138
D. Blakeslee, R. Fishman, Rainfall shocks and property crimes in agrarian societies: Evidence from India, Working paper (2015).
139
Morrison S. F., Nakamura K., Madden C. J., Central control of thermogenesis in mammals. Exp. Physiol. 93, 773–797 (2008). 10.1113/expphysiol.2007.041848
140
Ray R. S., Corcoran A. E., Brust R. D., Kim J. C., Richerson G. B., Nattie E., Dymecki S. M., Impaired respiratory and body temperature control upon acute serotonergic neuron inhibition. Science 333, 637–642 (2011). 10.1126/science.1205295
141
Seo D., Patrick C. J., Kennealy P. J., Christopher Patrick, Role of serotonin and dopamine system interactions in the neurobiology of impulsive aggression and its comorbidity with other clinical disorders. Aggress. Violent. Behav. 13, 383–395 (2008). 10.1016/j.avb.2008.06.003
142
L. Iyer, P. Topalova, Poverty and crime: Evidence from rainfall and trade shocks in India, Working paper (2014). www.hbs.edu/faculty/Publication%20Files/14-067_45092fee-b164-4662-894b-5d28471fa69b.pdf.
143
S. Sekhri, A. Storeygard, Dowry deaths: Consumption smoothing in response to climate variability in India, Working paper (2012). www.virginia.edu/economics/RePEc/vir/virpap/papers/virpap407.pdf.
144
Miguel E., Poverty and witch killing. Rev. Econ. Stud. 72, 1153–1172 (2005). 10.1111/0034-6527.00365
145
D. Zhang et al., Clim. chang., wars and dynastic cycles in China over the last millennium, Clim. Chang. (2006).
146
Zhang D. D., Brecke P., Lee H. F., He Y.-Q., Zhang J., Global climate change, war, and population decline in recent human history. Proc. Natl. Acad. Sci. U.S.A. 104, 19214–19219 (2007). 10.1073/pnas.0703073104
147
R. Tol, S. Wagner, Climate change and violent conflict in Europe over the last millennium, Clim. Change 99, 65–79 (2010).
148
R. W. Anderson, N. D. Johnson, M. Koyama, From the persecuting to the protective state? Jewish expulsions and weather shocks: 1100 to 1800, Working paper (2013). http://ssrn.com/abstract=2212323.
149
Jia R., Weather shocks, sweet potatoes and peasant revolts in historical China. Econ. J. 124, 92–118 (2013). 10.1111/ecoj.12037
150
J. K. Kung, C. Ma, Can cultural norms reduce conflicts? Confucianism and peasant rebellions in Qing China, Working paper (2012). http://ahec2012.org/papers/S6B-2_Kai-singKung_Ma.pdf.
151
Bai Y., Kung J., Climate shocks and Sino-nomadic conflict. Rev. Econ. Stat. 93, 970–981 (2010). 10.1162/REST_a_00106
152
T. Fetzer, Can workfare programs moderate violence? Evidence from India, Working paper (2014). http://sticerd.lse.ac.uk/dps/eopp/eopp53.pdf.
153
Hidalgo F., Naidu S., Nichter S., Richardson N., Economic determinants of land invasions. Rev. Econ. Stat. 92, 505–523 (2010). 10.1162/REST_a_00007
154
Maystadt J., Ecker O., Extreme weather and civil war in Somalia: Does drought fuel conflict in Somalia through livestock price shocks? Am. J. Agric. Econ. 96, 1157–1182 (2014). 10.1093/ajae/aau010
155
Carleton T. A., Hsiang S. M., Burke M. B., Conflict in a changing climate. Eur. Phys. J. Spec. Top. 225, 489–511 (2016). 10.1140/epjst/e2015-50100-5
156
L. Ralston, Conflict and climate: A micro-level analysis, CEGA Working paper pp. 1–59 (2015). http://cega.berkeley.edu/assets/miscellaneous_files/19_-ABCA-Conflict_and_Climate_Ralston.pdf.
157
Kim N. K., Revisiting economic shocks and coups. J. Conflict Resolut. 60, 3–31 (2014). 10.1177/0022002713520531
158
Burke P. J., Leigh A., Do output contractions trigger democratic change? Am. Econ. J. Macroecon. 2, 124–157 (2010). 10.1257/mac.2.4.124
159
Burke P. J., Economic growth and political survival. B.E. J. Macroecon. 12, 1935-1690 (2012). 10.1515/1935-1690.2398
160
Chaney E., Revolt on the Nile: Economic shocks, religion, and political power. Econometrica 81, 2033–2053 (2013). 10.3982/ECTA10233
161
Cullen H., deMenocal P. B., Hemming S., Hemming G., Brown F. H., Guilderson T., Sirocko F., Climate change and the collapse of the Akkadian empire: Evidence from the deep sea. Geology 28, 379 (2000). 10.1130/0091-7613(2000)28<379:CCATCO>2.0.CO;2
162
Haug G. H., Günther D., Peterson L. C., Sigman D. M., Hughen K. A., Aeschlimann B., Climate and the collapse of Maya civilization. Science 299, 1731–1735 (2003). 10.1126/science.1080444
163
Buckley B. M., Anchukaitis K. J., Penny D., Fletcher R., Cook E. R., Sano M., Nam C., Wichienkeeo A., Minh T. T., Hong T. M., Climate as a contributing factor in the demise of Angkor, Cambodia. Proc. Natl. Acad. Sci. U.S.A. 107, 6748–6752 (2010). 10.1073/pnas.0910827107
164
Yancheva G., Nowaczyk N. R., Mingram J., Dulski P., Schettler G., Negendank J. F. W., Liu J., Sigman D. M., Peterson L. C., Haug G. H., Influence of the intertropical convergence zone on the East Asian monsoon. Nature 445, 74–77 (2007). 10.1038/nature05431
165
Büntgen U., Tegel W., Nicolussi K., McCormick M., Frank D., Trouet V., Kaplan J. O., Herzig F., Heussner K.-U., Wanner H., Luterbacher J., Esper J., 2500 years of European climate variability and human susceptibility. Science 331, 578–582 (2011). 10.1126/science.1197175
166
M. Kleemans, Migration choice under risk and liquidity constraints, Working paper (2014). www.economics.illinois.edu/seminars/documents/Kleemans.pdf.
167
C. Cattaneo, G. Peri, The migration response to increasing temperatures. J. Dev. Econ. (2016).
168
Feng S., Krueger A. B., Oppenheimer M., Linkages among climate change, crop yields and Mexico-US cross-border migration. Proc. Natl. Acad. Sci. U.S.A. 107, 14257–14262 (2010). 10.1073/pnas.1002632107
169
Feng S., Oppenheimer M., Schlenker W.Climate Change, Crop Yields, and Internal Migration in the United States, (NBER Work. Pap. 17734, 2012).
170
J. V. Henderson, A. Storeygard, U. Deichmann, 50 years of urbanization in africa: Examining the role of climate change, World Bank Policy Research Working Paper (2014). www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2014/06/16/000158349_20140616110124/Rendered/PDF/WPS6925.pdf.
171
Bohra-Mishra P., Oppenheimer M., Hsiang S. M., Nonlinear permanent migration response to climatic variations but minimal response to disasters. Proc. Natl. Acad. Sci. U.S.A. 111, 9780–9785 (2014). 10.1073/pnas.1317166111
172
R. Cai, S. Feng, M. Pytlikova′, M. Oppenheimer, Climate variability and international migration: The importance of the agricultural linkage, IZA Discussion Paper (2014). http://ftp.iza.org/dp8183.pdf.
173
K. Jessoe et al., Climate change and labor markets in rural Mexico: Evidence from annual fluctuations in weather, Working paper (2014). http://ageconsearch.umn.edu/bitstream/170556/2/WeatherLaborMexico_AAEA.pdf.
174
Marchiori L., Maystadt J.-F., Schumacher I., The impact of weather anomalies on migration in sub-Saharan Africa. J. Environ. Econ. Manage. 63, 355–374 (2012). 10.1016/j.jeem.2012.02.001
175
Nawrotzki R. J., Hunter L. M., Runfola D. M., Riosmena F., Climate change as a migration driver from rural and urban Mexico. Environ. Res. Lett. 10, 114023 (2015). 10.1088/1748-9326/10/11/114023
176
A. Drabo, L. Mbaye, Climate change, natural disasters and migration: An empirical analysis in developing countries, IZA Discussion Paper (2011). http://ftp.iza.org/dp5927.pdf.
177
Gray C. L., Mueller V., Natural disasters and population mobility in Bangladesh. Proc. Natl. Acad. Sci. U.S.A. 109, 6000–6005 (2012). 10.1073/pnas.1115944109
178
Strobl E., The economic growth impact of hurricanes: Evidence from US coastal counties. Rev. Econ. Stat. 93, 575–589 (2011). 10.1162/REST_a_00082
179
T. Deryugina, The role of transfer payments in mitigating shocks: Evidence from the impact of hurricanes (2013). http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2314663.
180
R. Fishman, J. Russ, P. Carrillo, Long-term impacts of high temperatures on economic productivity, Working paper (2015). www.gwu.edu/~iiep/assets/docs/papers/2015WP/FishmanRussCarrillo_October2015.pdf.
181
M. Auffhammer, Quantifying intensive and extensive margin adaptation responses to climate change: A study of California’s residential electricity consumption, Working paper (2013). www.arec.umd.edu/sites/default/files/_docs/events/Maximilian%20Auffhammer-Quantifying%20Intensive%20and%20extensive%20margin%20adaptation%20responses%20to%20climate%20change-A%20study%20of%20California’s%20residential%20electricity%20consumption.pdf.
182
Lobell D. B., Roberts M. J., Schlenker W., Braun N., Little B. B., Rejesus R. M., Hammer G. L., Greater sensitivity to drought accompanies maize yield increase in the U.S. Midwest. Science 344, 516–519 (2014). 10.1126/science.1251423
183
Burke M. B., Miguel E., Satyanath S., Dykema J. A., Lobell D. B., Warming increases the risk of civil war in Africa. Proc. Natl. Acad. Sci. U.S.A. 106, 20670–20674 (2009). 10.1073/pnas.0907998106
184
Lobell D. B., Schlenker W., Costa-Roberts J., Climate trends and global crop production since 1980. Science 333, 616–620 (2011). 10.1126/science.1204531
185
Barreca A. I., Clay K., Deschênes O., Greenstone M., Shapiro J. S., Convergence in adaptation to climate change: Evidence from high temperatures and mortality, 1900-2004. Am. Econ. Rev. 105, 247–251 (2015). 10.1257/aer.p20151028
186
B. Lomborg, Global crises, global solutions (Cambridge University Press, 2004).
187
Kahn M. E., The death toll from natural disasters: The role of income, geography, and institutions. Rev. Econ. Stat. 87, 271–284 (2005). 10.1162/0034653053970339
188
Deryugina T., How do people update? The effects of local weather fluctuations on beliefs about global warming. Clim. Change 118, 397–416 (2013). 10.1007/s10584-012-0615-1
189
J. Shrader, Expectations and adaptation to environmental risks, Working paper (2016). http://acsweb.ucsd.edu/~jgshrade/papers/forecasts_and_adaptation.pdf.
190
Garrett T. A., Sobel R. S., The political economy of FEMA disaster payments. Econ. Inq. 41, 496–509 (2003). 10.1093/ei/cbg023
191
Healy A., Malhotra N., Myopic voters and natural disaster policy. Am. Polit. Sci. Rev. 103, 387–406 (2009). 10.1017/S0003055409990104
192
Besley T., Burgess R., The political economy of government responsiveness: Theory and evidence from India. Q. J. Econ. 117, 1415–1451 (2002). 10.1162/003355302320935061
193
Townsend R. M., Consumption insurance: An evaluation of risk-bearing systems in low-income economies. J. Econ. Perspect. 9, 83–102 (1995). 10.1257/jep.9.3.83
194
Nordhaus W. D., Geography and macroeconomics: New data and new findings. Proc. Natl. Acad. Sci. U.S.A. 103, 3510–3517 (2006). 16473945
195
R. S. Pindyck, Climate change policy: What do the models tell us? NBER Working paper 19244 (2013). www.nber.org/papers/w19244.
196
Moore F. C., Diaz D. B., Temperature impacts on economic growth warrant stringent mitigation policy. Nat. Clim. Chang. 5, 127–131 (2015). 10.1038/nclimate2481
197
Lobell D. B., Field C. B., Global scale climate–crop yield relationships and the impacts of recent warming. Environ. Res. Lett. 2, 014002 (2007). 10.1088/1748-9326/2/1/014002
Information & Authors
Information
Published In

Science
Volume 353 | Issue 6304
9 September 2016
9 September 2016
Copyright
Copyright © 2016, American Association for the Advancement of Science.
Submission history
Published in print: 9 September 2016
Acknowledgments
We thank P. Lau, A. Hultgren, and M. Landín for research assistance and R. Burgess for comments. T.A.C received support from the STAR Fellowship No. FP91780401 awarded by the U.S. Environmental Protection Agency (EPA). This article has not been formally reviewed by EPA and the views expressed herein are solely those of the authors.
Authors
Metrics & Citations
Metrics
Article Usage
Altmetrics
Citations
Export citation
Select the format you want to export the citation of this publication.
Cited by
- Strengthened scientific support for the Endangerment Finding for atmospheric greenhouse gases, Science, 363, 6427, (2021)./doi/10.1126/science.aat5982
- Estimating economic damage from climate change in the United States, Science, 356, 6345, (1362-1369), (2021)./doi/10.1126/science.aal4369
- High-tide flooding disrupts local economic activity, Science Advances, 5, 2, (2019)./doi/10.1126/sciadv.aau2736
- A dual-mode textile for human body radiative heating and cooling, Science Advances, 3, 11, (2017)./doi/10.1126/sciadv.1700895
- Nighttime temperature and human sleep loss in a changing climate, Science Advances, 3, 5, (2017)./doi/10.1126/sciadv.1601555
Loading...
View Options
Get Access
Log in to view the full text
AAAS login provides access to Science for AAAS Members, and access to other journals in the Science family to users who have purchased individual subscriptions.
- Become a AAAS Member
- Activate your AAAS ID
- Purchase Access to Other Journals in the Science Family
- Account Help
Log in via OpenAthens.
Log in via Shibboleth.
More options
Register for free to read this article
As a service to the community, this article is available for free. Login or register for free to read this article.
Buy a single issue of Science for just $15 USD.
View options
PDF format
Download this article as a PDF file
Download PDF





