Monday, February 25, 2019

Chemical Elements’ Revenues - Part 2


In the previous blog, the estimated revenues generated in 2018 by chemical elements in the periodic table of elements is presented.  In this blog, the estimated revenues generated by the periodic table’s 18 groups, plus the actinoids, are presented in the following table (Table 1):


  Table 1 -                                                      group
estimated 2018 revenues in billions usd
% of groups revenue to total of all groups' revenues
group 11 (coinage metals)
293.00
23.1%
group 8
231.35
18.3%
group 1
162.32
12.8%
group 13
154.45
12.2%
group 15 (pnictogens)
85.43
6.7%
group 14
72.19
5.7%
group 12
52.21
4.1%
group 10
41.80
3.3%
group 17 (halogens)
39.18
3.1%
group 16 (chalcogens)
27.80
2.2%
group 2 (alkaline earth metals)
27.57
2.2%
group 6
25.10
2.0%
group 4
14.74
1.2%
group 5
13.02
1.0%
group 9
8.90
0.7%
group 18 (noble gases)
6.42
0.5%
group 3 (rare earth metals)
5.18
0.4%
actinoids
3.50
0.3%
group 7
3.45
0.3%
total
1267.62



Most of the revenues generated in each group is accounted for by the group’s first 2 to 3 elements, often the first element.  Lower-numbered elements make a much more significant economic contribution compared to higher-numbered elements.

Also provided in the previous blog is an expected compounded annual growth rate (CAGR) of revenues for each element from 2018 to 2023.  The average for all the CAGRs is 4% (shown in the table in the previous blog). The table below (Table 2) shows those elements with CAGRs in the high range (7 to 13%) (along with the elements’ estimated 2018-generated revenues):


Table 2 - element
2018 revenues in billions of usd
compound annual growth rate in % 2018 to 2023
Hydrogen
132.30
7
Carbon
23.70
9
Calcium
23.60
7
Oxygen
21.50
8
Cobalt
8.80
10
Platinum
6.30
7
Zirconium
5.00
7
Bromine
3.85
10
Technetium (radio isotope)
3.30
9
Scandium
1.84
12
Lithium
1.63
9
Neodymium
1.30
8
Fluorine
0.67
7
Indium
0.45
7
Sodium
0.39
9
Yttrium
0.39
13
Germanium
0.19
7
Lutetium
0.15
9
Hafnium
0.14
9
Rhenium
0.09
7


Combining estimated revenues with higher than average estimated CAGRs (as done in Table 2) might be useful in identifying those elements of most interest from an economic perspective.




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