Sex ratio - total population (male(s)/female) 2007 Data source: 2007 CIA World Factbook

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Page 1 of 6 Sex ratio - total population (male(s)/female) 2007 Data source: 2007 CIA World Factbook 1 Qatar 1.87 2 Kuwait 1.52 3 United Arab Emirates 1.43 4 Samoa 1.39 5 Bahrain 1.26 6 Oman 1.25 7 Saudi Arabia 1.20 8 Palau 1.13 9 Greenland 1.12 10 Jordan 1.10 10 Mayotte 1.10 11 Brunei 1.09 12 Grenada 1.08 12 Andorra 1.08 13 Turks and Caicos Islands 1.07 13 Trinidad and Tobago 1.07 13 French Polynesia 1.07 13 Bhutan 1.07 14 India 1.06 14 Nepal 1.06 14 American Samoa 1.06 14 China 1.06 15 Vanuatu 1.05 15 Djibouti 1.05 15 Faroe Islands 1.05 15 Maldives 1.05 15 Libya 1.05 15 Pakistan 1.05 15 Niger 1.05 15 Papua New Guinea 1.05 15 Bangladesh 1.05 15 Afghanistan 1.05 15 British Virgin Islands 1.05 15 Syria 1.05 16 Yemen 1.04 16 West Bank 1.04 16 Gaza Strip 1.04 16 East Timor 1.04

Page 2 of 6 16 Guam 1.04 16 Iran 1.04 16 Marshall Islands 1.04 16 Albania 1.04 16 Suriname 1.04 16 Taiwan 1.04 16 Saint Vincent and the Grenadines 1.04 17 Dominican Republic 1.03 17 Saint Helena 1.03 17 Belize 1.03 17 Anguilla 1.03 17 Solomon Islands 1.03 18 Tunisia 1.02 18 Venezuela 1.02 18 Turkey 1.02 18 Egypt 1.02 18 Iraq 1.02 18 Nigeria 1.02 18 Panama 1.02 18 Angola 1.02 18 Algeria 1.02 18 Costa Rica 1.02 18 Sudan 1.02 19 World 1.01 19 Gibraltar 1.01 19 Dominica 1.01 19 Fiji 1.01 19 Korea, South 1.01 19 Honduras 1.01 19 Kenya 1.01 19 Guyana 1.01 19 Namibia 1.01 19 Malaysia 1.01 19 Paraguay 1.01 19 Peru 1.01 19 New Caledonia 1.01 19 Cameroon 1.01 19 Saint Pierre and Miquelon 1.01 20 Uganda 1.00 20 Zimbabwe 1.00 20 Ecuador 1.00 20 Gambia, The 1.00 20 Ethiopia 1.00 20 Ghana 1.00

Page 3 of 6 20 Iceland 1.00 20 Guinea 1.00 20 Indonesia 1.00 20 Macedonia 1.00 20 Mongolia 1.00 20 Nauru 1.00 20 Nicaragua 1.00 20 Philippines 1.00 20 Antigua and Barbuda 1.00 20 Cote d'ivoire 1.00 20 Senegal 1.00 20 Somalia 1.00 21 Zambia 0.99 21 Tonga 0.99 21 Gabon 0.99 21 Eritrea 0.99 21 Israel 0.99 21 Guatemala 0.99 21 Ireland 0.99 21 Kiribati 0.99 21 Malta 0.99 21 Malawi 0.99 21 Madagascar 0.99 21 Morocco 0.99 21 Liberia 0.99 21 New Zealand 0.99 21 Saint Kitts and Nevis 0.99 21 Rwanda 0.99 21 Australia 0.99 21 Burkina Faso 0.99 21 Cuba 0.99 21 Congo, Republic of the 0.99 21 Burundi 0.99 21 Comoros 0.99 21 Congo, Democratic Republic of the 0.99 21 Tajikistan 0.99 22 United Kingdom 0.98 22 Vietnam 0.98 22 Uzbekistan 0.98 22 Turkmenistan 0.98 22 Jamaica 0.98 22 Laos 0.98 22 Mali 0.98 22 Mauritania 0.98

Page 4 of 6 22 Norway 0.98 22 Netherlands 0.98 22 Bolivia 0.98 22 Benin 0.98 22 Central African Republic 0.98 22 Canada 0.98 22 Chile 0.98 22 Denmark 0.98 22 Brazil 0.98 22 Sweden 0.98 22 Sao Tome and Principe 0.98 22 Tanzania 0.98 22 Thailand 0.98 23 United States 0.97 23 Haiti 0.97 23 Jersey 0.97 23 Mozambique 0.97 23 Mauritius 0.97 23 Luxembourg 0.97 23 Saint Lucia 0.97 23 Bosnia and Herzegovina 0.97 23 Argentina 0.97 23 Burma 0.97 23 Switzerland 0.97 24 Togo 0.96 24 Greece 0.96 24 Equatorial Guinea 0.96 24 European Union 0.96 24 Germany 0.96 24 Finland 0.96 24 Italy 0.96 24 Hong Kong 0.96 24 Kyrgyzstan 0.96 24 Montserrat 0.96 24 Mexico 0.96 24 Botswana 0.96 24 Belgium 0.96 24 Bahamas, The 0.96 24 Bermuda 0.96 24 Cayman Islands 0.96 24 Chad 0.96 24 Colombia 0.96 24 Sri Lanka 0.96 24 Spain 0.96

Page 5 of 6 24 Singapore 0.96 25 Tuvalu 0.95 25 Uruguay 0.95 25 El Salvador 0.95 25 France 0.95 25 Isle of Man 0.95 25 Japan 0.95 25 Lesotho 0.95 25 Liechtenstein 0.95 25 Portugal 0.95 25 Romania 0.95 25 Austria 0.95 25 Czech Republic 0.95 25 Cape Verde 0.95 25 Cambodia 0.95 25 Slovenia 0.95 25 Swaziland 0.95 25 South Africa 0.95 26 Korea, North 0.94 26 Guernsey 0.94 26 Guinea-Bissau 0.94 26 Lebanon 0.94 26 Poland 0.94 26 Barbados 0.94 26 Azerbaijan 0.94 26 Sierra Leone 0.94 26 Slovakia 0.94 27 Kazakhstan 0.93 27 Netherlands Antilles 0.93 27 Aruba 0.93 27 Croatia 0.93 27 Bulgaria 0.93 27 Seychelles 0.93 28 Macau 0.92 28 Puerto Rico 0.92 28 San Marino 0.92 29 Virgin Islands 0.91 29 Georgia 0.91 29 Hungary 0.91 29 Moldova 0.91 29 Monaco 0.91 30 Armenia 0.90 31 Lithuania 0.89 32 Belarus 0.88

Page 6 of 6 33 Ukraine 0.86 33 Latvia 0.86 33 Russia 0.86 34 Estonia 0.84 35 Northern Mariana Islands 0.77 36 Western Sahara NA 36 Wake Island NA 36 Wallis and Futuna NA United States Pacific Island Wildlife 36 Refuges NA 36 Dhekelia NA 36 Falkland Islands (Islas Malvinas) NA French Southern and Antarctic 36 Lands NA 36 Cyprus NA 36 Heard Island and McDonald Islands NA 36 Holy See (Vatican City) NA 36 Jan Mayen NA 36 Iles Eparses NA 36 Montenegro NA 36 Navassa Island NA 36 Micronesia, Federated States of NA 36 Norfolk Island NA 36 Niue NA 36 Pitcairn Islands NA 36 Paracel Islands NA 36 Bouvet Island NA 36 Akrotiri NA 36 Antarctica NA 36 Ashmore and Cartier Islands NA 36 Cook Islands NA 36 Christmas Island NA 36 British Indian Ocean Territory NA 36 Cocos (Keeling) Islands NA 36 Clipperton Island NA 36 Coral Sea Islands NA South Georgia and the South 36 Sandwich Islands NA 36 Spratly Islands NA 36 Svalbard NA 36 Serbia NA 36 Tokelau NA

Figure IIa Gross Agricultural Incomes from Producing Tea and Category 1 Crops Figure IIc Category 2 Production: Orchard and Melon Production and Procurement Prices 12 6.0 2.70 2.50 Annual Gross Income Normalized to 1979 10 8 6 4 2 Tea Orch Cat 1 Orchard Prod, Orchrad and Melon and Prices Normalized to 1979 Levels 5.0 4.0 3.0 2.0 1.0 2.30 2.10 1.90 1.70 1.50 1.30 1.10 Melon Prod Normalized to 1979 Levels Orchard Prod Orchard Price Melont Price Melon Prod 0 1970 1974 1978 1982 1986 Year Source: FAO and Ministry of Agriculture of China; Note: the missing data points reflect years for when labor output data is missing. 0.90 0.0 0.70 1970 1974 1978 1982 1986 1990 Year Source: FAO Figure IIb Category 1 Production: Grains Figure IId Tea Yield and Tea Procurement Price 1.6 3.0 Rice and Wheat Production Normalized to 1979 Levels 1.4 1.2 1.0 0.8 0.6 Rice Wheat Yield and Price Normalized to 1979 2.5 2.0 1.5 1.0 Price Yield 0.4 1970 1974 1978 1982 1986 1990 Year Source: FAO 0.5 1970 1974 1978 1982 1986 1990 Year Source: FAO

Table III OLS and 2SLS Estimates of The Effect of Planting Tea and Orchards on Sex Ratios Controlling for County Level Linear Cohort Trends Coefficients of the Interactions between Dummies Indicating Whether a Cohort was Born Post Reform and the Amount of Tea Planted in the County of Birth Dependent Variables Fraction of Males Tea*Post Fraction of Males (1) (2) (3) (4) (5) (6) OLS OLS OLS 1st IV IV Tea * Post -0.012-0.013-0.012-0.072-0.011 (0.007) (0.006) (0.005) (0.031) (0.007) Orchard * Post 0.005 (0.002) Slope * Post -0.002 0.26 (0.002) (0.057) Linear Trend No No Yes Yes No Yes Observations 28349 37756 37756 37756 37756 37756 All regression include county and birth year fixed effects and controls for Han, and cashcrop*post. All standard errors are clustered at the county level. In column (1), the sample includes all individuals born during 1970-1986. In columns (2)-(6), the sample includes all individuals born during 1962-1990. Post=1 if birthyear>1979. Data for land area sown are from the 1997 China Agricultural Census.

Table IV The Effect of Planting Tea, Orchards and Category 2 Cash Crops on Education Attainment Coefficients of the Interactions between Dummies Indicating Whether a Cohort was Born Post Reform and the Amount of Tea, Orchard or Cash Crops Planted in the County of Birth Dependent Variable: Years of Education A. Dummy Variable for Crops Sown B. Continuous Variable for Amount of Crops Sown (1) (2) (3) (4) (5) (6) (7) (8) All Female Male Diff All Female Male Diff Tea * Post 0.199 0.247 0.149-0.069 0.449 0.383 0.501-0.097 (0.043) (0.057) (0.049) (0.063) (0.107) (0.133) (0.146) (0.218) Orchard * Post -0.124-0.226-0.029 0.174-0.021-0.119 0.054 0.118 (0.037) (0.050) (0.040) (0.056) (0.056) (0.071) (0.064) (0.086) Cat2 * Post -0.036-0.024-0.037-0.020-0.065-0.040-0.074-0.012 (0.026) (0.032) (0.028) (0.040) (0.032) (0.041) (0.035) (0.050) Observations 68522 33538 34984 58314 68522 33538 34984 58314 R-squared 0.37 0.48 0.34 0.14 0.37 0.48 0.34 0.14 All regressions include controls for Han, county fixed effects and birth year fixed effects. All standard errors clustered at the county level. Post = 1 for cohorts born after 1976.