{"title":"价格冲击的影响:沙特行业的价格模型分析","authors":"Imtithal A. Althumairi","doi":"10.37575/h/mng/210013","DOIUrl":null,"url":null,"abstract":"This paper investigates the impacts of increasing prices on the following sectors in Saudi Arabia: electricity, gas, water, manufacturing, agriculture, transport, storage, and communications. It evaluates the changes in producer and consumer prices and household living expenses. The Saudi Social Accounting Matrix (SAM) was developed along with a price multiplier approach used to analyze different simulations. Two findings stand out. First, there are differences in impacts according to household groups and the direction of the effects. Low-income and middle-income households were the most negatively affected by the price hikes. Second, the potential impacts of manufacturing, transport, storage, and communications price shocks are high. For a 50% increase in prices, the overall increases in cost of living for low-income households and middle-income households, as estimated with the SAM price model, are 20.59% and 6.17%, respectively. In contrast, the impacts of electricity, gas and water supply, and agriculture prices are minor, estimated at 2.05% and 2.75%, respectively. This would indicate that special attention should be given to compensatory mechanisms to minimize the adverse effects on low-income and middle-income household groups.","PeriodicalId":39024,"journal":{"name":"Scientific Journal of King Faisal University","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Impacts of Price Shocks: Price Modeling Analysis for Saudi Sectors\",\"authors\":\"Imtithal A. Althumairi\",\"doi\":\"10.37575/h/mng/210013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the impacts of increasing prices on the following sectors in Saudi Arabia: electricity, gas, water, manufacturing, agriculture, transport, storage, and communications. It evaluates the changes in producer and consumer prices and household living expenses. The Saudi Social Accounting Matrix (SAM) was developed along with a price multiplier approach used to analyze different simulations. Two findings stand out. First, there are differences in impacts according to household groups and the direction of the effects. Low-income and middle-income households were the most negatively affected by the price hikes. Second, the potential impacts of manufacturing, transport, storage, and communications price shocks are high. For a 50% increase in prices, the overall increases in cost of living for low-income households and middle-income households, as estimated with the SAM price model, are 20.59% and 6.17%, respectively. In contrast, the impacts of electricity, gas and water supply, and agriculture prices are minor, estimated at 2.05% and 2.75%, respectively. This would indicate that special attention should be given to compensatory mechanisms to minimize the adverse effects on low-income and middle-income household groups.\",\"PeriodicalId\":39024,\"journal\":{\"name\":\"Scientific Journal of King Faisal University\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Journal of King Faisal University\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37575/h/mng/210013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Multidisciplinary\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Journal of King Faisal University","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37575/h/mng/210013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Multidisciplinary","Score":null,"Total":0}
Impacts of Price Shocks: Price Modeling Analysis for Saudi Sectors
This paper investigates the impacts of increasing prices on the following sectors in Saudi Arabia: electricity, gas, water, manufacturing, agriculture, transport, storage, and communications. It evaluates the changes in producer and consumer prices and household living expenses. The Saudi Social Accounting Matrix (SAM) was developed along with a price multiplier approach used to analyze different simulations. Two findings stand out. First, there are differences in impacts according to household groups and the direction of the effects. Low-income and middle-income households were the most negatively affected by the price hikes. Second, the potential impacts of manufacturing, transport, storage, and communications price shocks are high. For a 50% increase in prices, the overall increases in cost of living for low-income households and middle-income households, as estimated with the SAM price model, are 20.59% and 6.17%, respectively. In contrast, the impacts of electricity, gas and water supply, and agriculture prices are minor, estimated at 2.05% and 2.75%, respectively. This would indicate that special attention should be given to compensatory mechanisms to minimize the adverse effects on low-income and middle-income household groups.
期刊介绍:
The scientific Journal of King Faisal University is a biannual refereed scientific journal issued under the guidance of the University Scientific Council. The journal also publishes special and supplementary issues when needed. The first volume was published on 1420H-2000G. The journal publishes two separate issues: Humanities and Management Sciences issue, classified in the Arab Impact Factor index, and Basic and Applied Sciences issue, on June and December, and indexed in (CABI) and (SCOPUS) international databases.