{"title":"covid - 19对印度制造业的影响","authors":"G. Gupta, Chahat Jain, V. Tyagi","doi":"10.36295/ASRO.2020.232026","DOIUrl":null,"url":null,"abstract":"The Covid pandemic has resulted in an economic shock. However, not all sectors are affected uniformly. We study two channels on the supply side through which the shock is amplified differentially across industries. First, we look at the dependence on global value chain (GVC), measured as share of imports in total inputs, which measures an industry’s integration with the GVC. A disruption in GVC will amplify the shock more for a higher value of the import share in inputs. Second, we construct a network of industries based on inputs used and calculated a dependency score for each industry. Higher the dependency score, greater is the chance for disruption. We find that both these factors are correlated with output share of the industries, implying amplification and a significant impact. Using IIP data for the months post the onset of pandemic, we find that disruption is higher in industries with higher import share and higher dependency score. Finally, we create a vulnerability index using these two variables. Industries with higher VI score are likely to face greater challenges in the recovery process. © 2022 selection and editorial matter, Rajib Bhattacharyya, Ananya Ghosh Dastidar and Soumyen Sikdar;individual chapters, the contributors.","PeriodicalId":7958,"journal":{"name":"Annals of Tropical Medicine and Public Health","volume":"74 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"IMPACT OF COVID 19 ON MANUFACTURING INDUSTRIES IN INDIA\",\"authors\":\"G. Gupta, Chahat Jain, V. Tyagi\",\"doi\":\"10.36295/ASRO.2020.232026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Covid pandemic has resulted in an economic shock. However, not all sectors are affected uniformly. We study two channels on the supply side through which the shock is amplified differentially across industries. First, we look at the dependence on global value chain (GVC), measured as share of imports in total inputs, which measures an industry’s integration with the GVC. A disruption in GVC will amplify the shock more for a higher value of the import share in inputs. Second, we construct a network of industries based on inputs used and calculated a dependency score for each industry. Higher the dependency score, greater is the chance for disruption. We find that both these factors are correlated with output share of the industries, implying amplification and a significant impact. Using IIP data for the months post the onset of pandemic, we find that disruption is higher in industries with higher import share and higher dependency score. Finally, we create a vulnerability index using these two variables. Industries with higher VI score are likely to face greater challenges in the recovery process. © 2022 selection and editorial matter, Rajib Bhattacharyya, Ananya Ghosh Dastidar and Soumyen Sikdar;individual chapters, the contributors.\",\"PeriodicalId\":7958,\"journal\":{\"name\":\"Annals of Tropical Medicine and Public Health\",\"volume\":\"74 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Tropical Medicine and Public Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36295/ASRO.2020.232026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Tropical Medicine and Public Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36295/ASRO.2020.232026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
IMPACT OF COVID 19 ON MANUFACTURING INDUSTRIES IN INDIA
The Covid pandemic has resulted in an economic shock. However, not all sectors are affected uniformly. We study two channels on the supply side through which the shock is amplified differentially across industries. First, we look at the dependence on global value chain (GVC), measured as share of imports in total inputs, which measures an industry’s integration with the GVC. A disruption in GVC will amplify the shock more for a higher value of the import share in inputs. Second, we construct a network of industries based on inputs used and calculated a dependency score for each industry. Higher the dependency score, greater is the chance for disruption. We find that both these factors are correlated with output share of the industries, implying amplification and a significant impact. Using IIP data for the months post the onset of pandemic, we find that disruption is higher in industries with higher import share and higher dependency score. Finally, we create a vulnerability index using these two variables. Industries with higher VI score are likely to face greater challenges in the recovery process. © 2022 selection and editorial matter, Rajib Bhattacharyya, Ananya Ghosh Dastidar and Soumyen Sikdar;individual chapters, the contributors.