## 8 Analysis
### Economic Feasibility  
Analyzing the economic feasibility of developing a decentralized application (DApp) means considering the cost involved in its cycle development process, and considering off-chain and blockchain parts. However, in this section, we will delimit our study on the cost involved in setting it up in the blockchain and the entities that would have to pay to make this proposal a reality. The fundamental entities are the government and the end-user. However, we also analyze the university user because it is part of the entities in our example.  
Table 8 summarizes some general transaction costs generated in Section 7. The table has five columns, the first one denotes different variables explained in Section 7, and the next column gives a brief description. The third and fourth columns denote the transaction cost in Wei and USD, respectively, and the last column indicates who should pay. The first row represents the expenses that a government would have to pay out to generate all digital identity tokens in a country like Mexico, with 131,822,858 inhabitants. The second row represents the previous expenses plus the cost of generating the birth certificates for all Mexican inhabitants. The third row denotes an approximated expense that a university would have to pay out for each student having finished all subject credits, and the fourth row is an approximated expense for having all the scholars' curriculum in a university (e.g., 4300 students in UP-Gdl). The fifth row denotes an approximated expense that an end-user would have to pay out for linking a token, and the sixth row represents the expenses generated for linking 10 tokens, which means for an end-user having their complete identity in a blockchain platform.  
According to Table 8 and considering the benefits of blockchain, we can conclude that having a digital identity ecosystem on a blockchain platform is not expensive for either entity. However, it is important to note that we assumed a gas price unit of 1 in  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Variable** & **Description (Gas Generated to)** & \multicolumn{2}{c}{**Transaction Cost**} & **Payer** \\  & **Wei** & **USD** & & \\ \hline \(T\$_{C}\) & Know the gas for registering all inhabitants of a country; example with 131,822,858 inhabitants. & 185,156,939,096,372 & 0.46 & Government \\ \hline \(T\$_{BCs}\) & Create all birth certificates in a country; example with 131,822,858 inhabitants and including \(T\$_{C}\). & 402,816,643,750,636 & 0.99 & Government \\ \hline \(T\$_{SCI}\) & Create a scholar curriculum; example of a student having completed 70 subjects. & 13,078,590 & 0.00000032 & University \\ \hline \(T\$_{SC}\) & Gas required for 4300 students; example in UP-Gdl. & 56,239,293,594 & 0.0001393278 & University \\ \hline \(T\$_{Lintoktorn}\) & Gas required to link a token by a user; example linking its scholar. & 148,575 & 0.0000000001 & End-user \\ \hline \(T\$_{LintkT}\) & Curriculum; gas required to link all tokens by a user; example & 1,485,750 & 0.0000000037 & End-user \\  & linking 10 tokens. & & & \\ \hline \hline \end{tabular}
\end{table}
Table 8: Costs generated in Wei and USD by deploying a digital identity ecosystem and payers.  
our calculation. In reality, ETH gas prices fluctuate significantly depending on network congestion, which was not taken into account in this analysis. For example, [PERSON] [39] showed a time series evolution of ETH gas prices (expressed as natural log of Wei) for a period between September 2015 and May 2023, oscillating between 22 and 27. It clearly shows that considering real peak fees could reach higher costs per transaction. However, Solana and Cardano could maintain fees much lower than ETH's gas costs [40; 41]