Created at 10pm, Jun 26
t2ruvaHistory
0
Trump_and_Biden_Whose_Policy_is_Better
Contract ID
-kWmTL0ioJTge34GNPQ9xv2yQ7sORRekEPffBboRSGU
File Type
PDF
Entry Count
37
Embed. Model
jina_embeddings_v2_base_en
Index Type
hnsw

2020 is the year of US presidential election, with Republican candidate Donald Trump and Democraticcounterpart Joe Biden running for president. In this paper, we focus on different president’s policyespecially on economic field. In addition, “the different policies affect both America and China’seconomy” is considered. This paper also gives some responds and suggestions for China to deal withdifferent economic policies in America. Based on the instruction, we mainly solved three questions.To analyze different candidates’ economic policies and explore the impact in the U.S, we establish fourseries of factors by using Multiple Regression (MR) and then use Analytic Hierarchy Process (AHP) tobuild a whole model of general factors. Specially, we choose “COVID-19 fighting measures” to be thearea we will explore, and we select Susceptible Exposed Infectives Recovered (SEIR) model to predictthe impact caused by COVID-19. After that, all the advantages and disadvantages can be analyzed. IfDonald Trump continues his political career, the development of American economy will be predictedby Gray model according to the GDP in previous years. Oppositely, if Joe Biden successfully runs forthe president, some policies will be changed, and it is helpful to predict the GDP by using MR method.The conclusion shows that Biden’s policy is better than Trump’s for economy in the U.S.We build a new model to predict the possible impact of different candidates elected on China’s economy.The influence caused by different economic policies can be typically shown through several specificcompanies such as Huawei. Annual reports from different companies are collected and some dataparticularly related to international trade can be analyzed. Additionally, it is helpful to use Gray modeland MR method to predict the companies’ economic situation on behalf of some significant parts ofChinese economy.From a historical point of view, the connectivity of the world economy, the collaborative division oflabor among countries and the exchange of personnel are irreversible historical trends. No matter whothe candidate is, our strategic approach to economic policy will not change, but some details may bewww.scholink.org/ojs/index.php/asir Applied Science and Innovative Research Vol. 6, No. 2, 202213Published by SCHOLINK INC.changed. For Donald Trump’s policies, we will take national protection measures in some high-techareas. But for Biden, the policy in China must be changed.KeywordsSEIR model, Gray model, MR method, Policy Analysis and Prediction

scholink.org/ojs/index.php/asir Applied Science and Innovative Research Vol. 6, No. 2, 2022 the weight matrix is the relationship between all variables. So, the weight matrix 1 be the relationship between all variables . The weight matrix 1, which shows the relationship of four series is: = 0.15161 + 0.35982 + 0.05773 + 0.43094 (7) The GDP in Bidens policy can be calculated by formula (7): = 2.2721 1013 (8) By the previous data, the GDP in Trumps policy can be predicted by Grey Model directly: GM(1,1) model is one of the most effective GM. By using the data in the referencing website, the original sequence can be written as: (0) = {(0)(1), (0)(2), (0)(3), (0)(4)} (9) By accumulation, the new sequence can be written as: (1) = {(1)(1), (1)(2), (1)(3), (1)(4)} (10) The differential equation of (1) is:
id: e5e243b1af0baccdd14f2067d158b4d7 - page: 8
(1) + (1) = (11) The solution for equation (12) is: (1)( + 1) = [(0)(1) ] + (12) The coefficients can be calculated using the least square method: = [ ] = ()1 (13) Finally, the GDP in Trumps policy can be calculated by formula (9)-(13): = 2.24793 1013 (14) Obviously, > , it means that the country will have more GDP under Bidens policy. Step 3: Model establishment of COVID-19 The number of different types of people shown in Figure 5 is collected. Figure 5. Different Types of People during COVID-19 After that, we use SEIR model to have a better prediction of the number of different types of people. People who are susceptible to infection will experience an incubation period at the beginning, and symptoms will appear after a period. The latent person is transformed into an infected person according to the probability formula . Modify the differential equation as following: 19 Published by SCHOLINK INC.
id: 9ab7e53aeea33d04e786b232466b4cea - page: 8
scholink.org/ojs/index.php/asir Applied Science and Innovative Research Vol. 6, No. 2, 2022 = = = (15) { = For Trump, the main policies are nature development and maintaining the policies right now. Obviously, the situation will not be better in a short time. But for Biden, the policies are changed. Firstly, he wants to improve the proportion of medical insurance and import medicines from foreign countries, which can reduce the impact more effective than Trumps. The recovery rate of Trumps policy is 0.48, and Bidens is 0.8. In addition, for the number of people who are infected with susceptible people: Trump is 20 but Biden is only 5. The two important factors above are used in the formula (15). Set the same initial date, and input two different series of factors. Then after 40 days, the number of recovered people is shown in Figure 6.
id: 46ee511bc62785f0b51dda5d7159f7d8 - page: 9
Figure 6. The Number of Recovered People (Biden Left, and Trump Right) It is reported that the average value of recovery cost is 20292 dollars, and we set the total cost for recovery is . The costs are: = 6,256,023,600,000 , = 6,479,235,600,000 (16) And < , it means that the country will save costs on COVID-19 protection and recovery treatment if Biden runs for the president. Step 4: Comparison and analysis By direct comparison in both step 2 and step 3, it is obvious that Bidens policies will lead the U.S.s economic be better in the future. Two main series of comparison proved this conclusion. 20 Published by SCHOLINK INC.
id: 95a54dce5d8e7106101886593ee474e8 - page: 9
How to Retrieve?
# Search

curl -X POST "https://search.dria.co/hnsw/search" \
-H "x-api-key: <YOUR_API_KEY>" \
-H "Content-Type: application/json" \
-d '{"rerank": true, "top_n": 10, "contract_id": "-kWmTL0ioJTge34GNPQ9xv2yQ7sORRekEPffBboRSGU", "query": "What is alexanDRIA library?"}'
        
# Query

curl -X POST "https://search.dria.co/hnsw/query" \
-H "x-api-key: <YOUR_API_KEY>" \
-H "Content-Type: application/json" \
-d '{"vector": [0.123, 0.5236], "top_n": 10, "contract_id": "-kWmTL0ioJTge34GNPQ9xv2yQ7sORRekEPffBboRSGU", "level": 2}'