Page 483 - ES 2020-21_Volume-1-2 [28-01-21]
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110     Economic Survey 2020-21   Volume 2


                   Table 4: External Debt Vulnerability Indicators (Per cent, unless indicated otherwise)
                                Indicator                             End-March                End-
                                                              2013   2018    2019    2020   September
                                                                                      R       2020 P
              Total External Debt (US$ billion)              409.4 529.3 543.1 558.2           556.2
              External Debt to GDP                            22.4    20.1   19.8    20.6      21.6

              Short term debt (original maturity) to total debt  23.6  19.3   20     19.1      18.5
              Short term debt (residual maturity) to total debt  42.1  42.0  43.4    42.4      44.6
              Concessional debt to total debt                 11.1    9.1     8.7    8.8        9.0
              Reserves to total debt                          71.3    80.2    76     85.2      97.4
              Ratio of Short-term debt to reserves            33.1    24.1   26.3    22.5      19.0
              Short term debt (residual maturity) to reserves  59     52.3    57     49.5      45.5

              Debt Service Ratio                               5.9    7.5     6.4    6.5        9.7
             Source: RBI and Ministry of Finance
             Note: R: Revised; P: Provisional.
                            Box 4: India’s External Debt: Stock-Taking and the Way Forward
               The total external debt of the world, at US$ 89 trillion as at end-June 2020, grew at lower
               rate of 1.0 per cent over the level as at-end March 2020 than that (2.2 per cent) registered a
               quarter ago.   The US is the most heavily indebted country in the world with 23.9 per cent of
                          3
               the total external debt stock. India is placed at 23  position globally with an estimated stock
                                                              rd
               at US$ 554.4 billion as at end-June 2020. Analysis of maturity profile of India’s external
               debt as at end-June 2020 among the Special Data Dissemination Standards (SDDS) reporting
               countries underscores that India’s share of short-term debt, at 18.9 per cent, is not only
               lower than the median share of 24.2 per cent, but also smaller than that of any top 20 debtor
               countries. Further, among the SDDS and General Data Dissemination Standards (GDDS)
               countries, India’s share of government sector in gross external debt as at end-June 2020 at 18
               per cent is modest and lower than the median share of at 29.7 per cent.

               The theoretical literature suggests a kind of “Laffer Curve” relationship between foreign debt
               and growth: foreign debt has a positive impact on investment and growth up to a certain threshold
               level; beyond this level, however, its impact turns adverse. Reflecting an element of uncertainty
               in this non-linear relationship, a range of values for the optimal or growth maximizing level of
               debt is identified. Cohen (1997) finds that for African and Latin American countries, external
               debt to GDP of 50 per cent and debt to exports of 200 per cent could be the inflexion point for
               the non-linearity to kick in.  Pattillo, et al (2002, 2011) based on developing and middle-income
               countries, argue that the average impact of foreign debt becomes negative at about 160-170 per
               cent of exports or 35-40 per cent of GDP. Benedict et al (2003), on the other hand, find that for
               low-income countries a threshold level of around 30-37 per cent of GDP, or around 115-120
               per cent of exports is optimal. Another stream of literature highlights that countries with good
               policies and strong institutions tend to have higher thresholds and countries with bad and poor
               policies and weak institutions have lower thresholds (Cordella et at, 2010). The most well-known


              3 Including countries reporting under Special Data Dissemination Standards (SDDS) and General Data Dissemination Standards (GDDS).
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