The result data of the article "Carbon Footprint Heterogeneity across Elderly Groups in China"
Authors/Creators
Description
“CF result data” file contains 4 .mat format files. The file naming convention is as follows: number 5/6 represent the age group: 60-79 (the younger elderly), or 80+ (the oldest old); "r/u" represent rural or urban areas. For example, "C_emission6_r.mat" represents the CF data file for residents in age group 80+ located in rural areas. The format of each .mat file is 10030×10030 (170 regions × 59 sectors). The order of the 170 regions is shown in Table 1, and the order of the 59 sectors is shown in Table 2.
Table 1: Order of 170 Regions
|
Number |
Region |
Number |
Region |
Number |
Region |
|
1 |
Beijing |
58 |
United States of America |
115 |
Albania |
|
2 |
Tianjin |
59 |
Mexico |
116 |
Belarus |
|
3 |
Hebei |
60 |
Rest of North America |
117 |
Russian Federation |
|
4 |
Shanxi |
61 |
Argenti |
118 |
Ukraine |
|
5 |
Inner Mongolia |
62 |
Bolivia |
119 |
Rest of Eastern Europe |
|
6 |
Liaoning |
63 |
Brazil |
120 |
Rest of Europe |
|
7 |
Jilin |
64 |
Chile |
121 |
Kazakhstan |
|
8 |
Heilongjiang |
65 |
Colombia |
122 |
Kyrgyztan |
|
9 |
Shanghai |
66 |
Ecuador |
123 |
Rest of Former Soviet Union+Tajikistan |
|
10 |
Jiangsu |
67 |
Paraguay |
124 |
Armenia |
|
11 |
Zhejiang |
68 |
Peru |
125 |
Azerbaijan |
|
12 |
Anhui |
69 |
Uruguay |
126 |
Georgia |
|
13 |
Fujian |
70 |
Venezuela (Bolivarian Republic of) |
127 |
Bahrain |
|
14 |
Jiangxi |
71 |
Rest of South America |
128 |
Iran, Islamic Republic of |
|
15 |
Shandong |
72 |
Costa Rica |
129 |
Israel |
|
16 |
Henan |
73 |
Guatemala |
130 |
Jordan |
|
17 |
Hubei |
74 |
Honduras |
131 |
Kuwait |
|
18 |
Hunan |
75 |
Nicaragua |
132 |
Oman |
|
19 |
Guangdong |
76 |
Pama |
133 |
Qatar |
|
20 |
Guangxi |
77 |
El Salvador |
134 |
Saudi Arabia |
|
21 |
Hainan |
78 |
Rest of Central America |
135 |
Turkey |
|
22 |
Chongqing |
79 |
Dominican Republic |
136 |
United Arab Emirates |
|
23 |
Sichuan |
80 |
Jamaica |
137 |
Rest of Western Asia |
|
24 |
Guizhou |
81 |
Puerto Rico |
138 |
Egypt |
|
25 |
Yunnan |
82 |
Trinidad and Tobago |
139 |
Morocco |
|
26 |
Tibet |
83 |
Rest of Caribbean |
140 |
Tunisia |
|
27 |
Shaanxi |
84 |
Austria |
141 |
Rest of North Africa |
|
28 |
Gansu |
85 |
Belgium |
142 |
Benin |
|
29 |
Qinghai |
86 |
Bulgaria |
143 |
Burki Faso |
|
30 |
Ningxia |
87 |
Croatia |
144 |
Cameroon |
|
31 |
Xinjiang |
88 |
Cyprus |
145 |
Côte d'Ivoire |
|
32 |
Australia |
89 |
Czech Republic |
146 |
Gha |
|
33 |
New Zealand |
90 |
Denmark |
147 |
Guinea |
|
34 |
Rest of Oceania |
91 |
Estonia |
148 |
Nigeria |
|
35 |
Hong Kong, Special Administrative Region of China |
92 |
Finland |
149 |
Senegal |
|
36 |
Japan |
93 |
France |
150 |
Togo |
|
37 |
Korea, Republic of |
94 |
Germany |
151 |
Rest of Western Africa |
|
38 |
Mongolia |
95 |
Greece |
152 |
Rest of Central Africa |
|
39 |
Taiwan |
96 |
Hungary |
153 |
South Central Africa |
|
40 |
Rest of East Asia |
97 |
Ireland |
154 |
Ethiopia |
|
41 |
Brunei Darussalam |
98 |
Italy |
155 |
Kenya |
|
42 |
Cambodia |
99 |
Latvia |
156 |
Madagascar |
|
43 |
Indonesia |
100 |
Lithuania |
157 |
Malawi |
|
44 |
Lao PDR |
101 |
Luxembourg |
158 |
Mauritius |
|
45 |
Malaysia |
102 |
Malta |
159 |
Mozambique |
|
46 |
Philippines |
103 |
Netherlands |
160 |
Rwanda |
|
47 |
Singapore |
104 |
Poland |
161 |
Tanzania, United Republic of |
|
48 |
Thailand |
105 |
Portugal |
162 |
Uganda |
|
49 |
Viet m |
106 |
Romania |
163 |
Zambia |
|
50 |
Rest of Southeast Asia |
107 |
Slovakia |
164 |
Zimbabwe |
|
51 |
Bangladesh |
108 |
Slovenia |
165 |
Rest of Eastern Africa |
|
52 |
India |
109 |
Spain |
166 |
Botswana |
|
53 |
Nepal |
110 |
Sweden |
167 |
Namibia |
|
54 |
Pakistan |
111 |
United Kingdom |
168 |
South Africa |
|
55 |
Sri Lanka |
112 |
Switzerland |
169 |
Rest of South African Customs Union |
|
56 |
Rest of South Asia |
113 |
Norway |
170 |
Rest of the World |
|
57 |
Canada |
114 |
Rest of European Free Trade Association |
|
|
Table 2: Order of 59 Sectors
|
Number |
Sector |
Number |
Sector |
Number |
Sector |
|
Paddy rice |
21 |
Vegetable oils and fats |
41 |
Transport equipment nec |
|
|
2 |
Wheat |
22 |
Dairy products |
42 |
Manufactures nec |
|
3 |
Cereal grains nec |
23 |
Processed rice |
43 |
Electricity |
|
4 |
Vegetables, fruit, nuts |
24 |
Sugar |
44 |
Gas manufacture & distribution |
|
5 |
Oil seeds |
25 |
Food products nec |
45 |
Water |
|
6 |
Sugar cane, sugar beet |
26 |
Beverages and tobacco products |
46 |
Construction |
|
7 |
Plant-based fibers |
27 |
Textiles |
47 |
Trade |
|
8 |
Crops nec |
28 |
Wearing apparel |
48 |
Transport nec |
|
9 |
Bovine cattle, sheep and goats |
29 |
Leather products |
49 |
Water transport |
|
10 |
Animal products nec |
30 |
Wood products |
50 |
Air transport |
|
11 |
Raw milk |
31 |
Paper products, publishing |
51 |
Communication |
|
12 |
Wool, silk-worm cocoons |
32 |
Petroleum, coal products |
52 |
Financial services nec |
|
13 |
Forestry |
33 |
Chemical products |
53 |
Insurance |
|
14 |
Fishing |
34 |
Mineral products nec |
54 |
Business services nec |
|
15 |
Coal |
35 |
Ferrous metals |
55 |
Recreational and other service |
|
16 |
Oil |
36 |
Metals nec |
56 |
Public Administration and defense |
|
17 |
Gas |
37 |
Metal products |
57 |
Education |
|
18 |
Minerals nec |
38 |
Electrical equipment |
58 |
Human health and social work activities |
|
19 |
Bovine meat products |
39 |
Machinery nec |
59 |
Dwellings |
|
20 |
Meat products nec |
40 |
Motor vehicles and parts |
|
|