covid - 19对印度制造业的影响

G. Gupta, Chahat Jain, V. Tyagi
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摘要

新冠肺炎大流行造成了经济冲击。然而,并非所有行业都受到相同的影响。我们研究了供给侧的两个渠道,通过这两个渠道,冲击在不同行业被放大的程度不同。首先,我们考察了对全球价值链(GVC)的依赖,以进口占总投入的份额来衡量,这衡量了一个产业与全球价值链的整合程度。全球价值链的中断将进一步放大冲击,因为进口在投入中所占份额的价值更高。其次,我们根据所使用的输入构建了一个行业网络,并计算了每个行业的依赖分数。依赖分数越高,中断的可能性就越大。我们发现,这两个因素都与产业产出份额相关,意味着放大和显著影响。利用疫情爆发后几个月的国际知识产权数据,我们发现,进口份额高、依赖程度高的行业受到的干扰更大。最后,我们使用这两个变量创建一个漏洞索引。指数越高的行业在恢复过程中可能面临更大的挑战。©2022选择和编辑事项,Rajib Bhattacharyya, Ananya Ghosh Dastidar和Soumyen Sikdar;个人章节,贡献者。
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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.
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