Data and Code for Energy Saving May Kill: Evidence from the Fukushima Nuclear Accident
Principal Investigator(s): View help for Principal Investigator(s) Guojun He, The University of Hong Kong; Takanao Tanaka, University of California-Berkeley
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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appendix_figures | 05/31/2022 03:25:AM | ||
appendix_tables | 09/20/2022 08:49:PM | ||
code | 07/16/2022 06:12:AM | ||
data | 09/20/2022 09:34:PM | ||
figures | 05/31/2022 03:35:AM | ||
reference | 05/31/2022 03:21:AM | ||
tables | 05/31/2022 03:19:AM | ||
Fukushima_Appendix2_README.pdf | application/pdf | 518.5 KB | 07/16/2022 02:14:AM |
Project Citation:
He, Guojun, and Tanaka, Takanao. Data and Code for Energy Saving May Kill: Evidence from the Fukushima Nuclear Accident. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-03-10. https://doi.org/10.3886/E170502V1
Project Description
Summary:
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Abstract: Following the Fukushima nuclear accident, Japan gradually shut down all its nuclear
power plants, causing a countrywide power shortage. In response, the government
launched large-scale energy-saving campaigns to reduce electricity consumption.
Exploiting the electricity-saving targets across regions and over time, we show
that the campaigns significantly increased mortality, particularly during
extremely hot days. The impact is primarily driven by people using less air
conditioning, as encouraged by the government. Nonpecuniary incentives can explain
most of the reduction in electricity consumption. Our findings suggest there
exists a trade-off between climate change mitigation and climate change adaptation.
Scope of Project
Subject Terms:
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economics;
environmental policy;
public policy;
public health
JEL Classification:
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I18 Health: Government Policy; Regulation; Public Health
O12 Microeconomic Analyses of Economic Development
Q48 Energy: Government Policy
Q54 Climate; Natural Disasters and Their Management; Global Warming
I18 Health: Government Policy; Regulation; Public Health
O12 Microeconomic Analyses of Economic Development
Q48 Energy: Government Policy
Q54 Climate; Natural Disasters and Their Management; Global Warming
Geographic Coverage:
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Japan
Time Period(s):
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1999 – 2015
Collection Date(s):
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1/2018 – 2/2022
Universe:
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Mortality and temperature data are based on all the Japanese populations
Data Type(s):
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administrative records data;
aggregate data
Methodology
Data Source:
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See README
Unit(s) of Observation:
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Prefecture-by-year-month-by-age
Geographic Unit:
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Prefecture
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