The impact of climate change on economic output across industries in Chile

Methods & data Regional-industry GDP data We use region-industry level GDP series for Chile over the period 1985–2017 from the National Accounts data publicly available from the Central Bank of Chile [26]. There are 12 industries shown in Table 1. Prior to 2007, Chile was divided into 13 regions. In 2007, region I split into regions I and XV and region X split into regions X and XIV, resulting in 15 regions. Region XIII is particularly important, being the Metropolitan Region of the capital Santiago, which represents around 40% of the national GDP and population. For the years 1985–2007, we created a 15 region and 12 industry panel series assuming that each of the divided regions I and X shares of industry-level GDP is constant between 1985– 2008. We allocate the industry-level GDP of regions I and X across their future sub-divided regions according to their share of the combined region’s GDP for each industry in the year 2008: GDPr;i;t ¼ GDPAðrÞ;i;t GDPr;i;2008 GDPAðrÞ;i;2008 ; for t � 2007; ð1Þ with t representing the year, i the industry, r being the region classification after 2008 and A(r) being the region classification before 2008. In particular, A(r) = I + XV for r = I, XV and A(r) = X + XIV for r = X, XIV. This adjustment is possible because the original region classification for the period 1985–2007 was exactly the same as the recent 2008–2017 classification for regions II, III, IV, V, VI, VII, VIII, IX, XI, XII and XIII. However, the original regions I and X in the period 1985–2007 are exactly equivalent to the sum of regions I and XV and the sum of

regions X and XIV, respectively, for the period 2008–2017. In S2 Appendix at the end of the article, we also show results with a set of 13 regions over the entire period 1985 to 2017. The data is reported in four separate series 1985–1996, 1996–2003, 2003–2008, and 2008– 2017 with base years 1986, 1996, 2003, and 2013 respectively. We harmonize the data as fol- lows. To join adjacent series, we use the common year that is available in the series of both base years to create an adjustment factor for each region-industry observation as the ratio of GDP measured in the more recent base year to the GDP measured in the previous base year: Adjr;i;b¼t0 ¼ GDPr;i;t�;b¼t1 =GDPr;i;t�;b¼to , with r denoting the region, i the industry, t1 being the most recent base year and t0 the previous base year. t� is the first period in the new base year t1 series and the last period for the old base year t0 series. We multiply each observation in the Table 1. Fraction (%) of the value of each industry in national GDP (1985–2017). Industry Code Industry Name % of GDP 1 Agriculture and Forestry 3.5 2 Fishing 0.5 3 Mining 15.1 4 Manufacturing 12.7 5 Electricity, Gas, and Water (EGA) 4.0 6 Construction 6.8 7 Commerce, Restaurants, and Hotels 10.9 8 Transport and Communications 8.2 9 Financial Services 14.9 10 Home Ownership 8.2 11 Personal Services 11.5 12 Public Administration 5.2 https://doi.org/10.1371/journal.pone.0266811.t001 PLOS ONE The impact of climate change on economic output across industries in Chile

PLOS ONE | https://doi.org/10.1371/journal.pone.0266811 April 28, 2022 3 / 21