Page 249 - ES 2020-21_Volume-1-2 [28-01-21]
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232     Economic Survey 2020-21   Volume 1



                 Capital  Adequacy  Ratio  X
                 Zombie                                                     -0.0039       -0.0036
                                                                           (-0.7303)     (-0.6736)
                 Exposure  to  AQR  (%)  X
                 Capital  Adequacy  Ratio  X
                 Zombie                                                   -0.2752***    -0.2682***
                                                                           (-3.0560)     (-3.0201)


                 Observations                    117,827       117,827      83,977        83,977
                 R-squared                       0.3202        0.3265       0.3506        0.3567
                 Controls                          No            Yes          No            Yes
                 FE                                            Firm X Year & Lender
                 Clustering                                           Lender


                Table 9: This table reports the OLS estimates of the impact of AQR on lending. Standard
                errors are clustered at the lender level and t-statistics are reported in parentheses. *p<0.1;
                **p<.05; ***p<0.01.  Source: Chopra, Subramanian, and Tantri (2020).

                In all the columns of Table 9, we see that the AQR led to a decline in lending as seen in
                the consistently negative coefficient of the variable Exposure to AQR. In the first two
                columns,  the  positive  coefficient  for  the  interaction  term  suggests  that  while  overall
                lending declined, lending to the zombie firms increased after the AQR; thus, the zombie
                firms were less impacted by the credit contraction following the AQR.
                In columns (3) and (4), the positive coefficient estimate for the interaction between
                Exposure and Capital Adequacy Ratio suggests that lower capital exacerbated the impact
                of Exposure to AQR on lending. To see this, note that the marginal impact of Exposure
                to  AQR,  which  is  given  by  the  partial  derivative  ∂(lending)/∂(Exposure  to  AQR),
                equals -4.8 + 3.9* Zombie + 0.38* Capital Adequacy Ratio – 0.27* (Zombie*Capital
                Adequacy Ratio). As the sign of the coefficient for capital adequacy ratio is positive,
                this implies that the marginal impact of the AQR on lending was disproportionately
                greater for banks with a lower capital adequacy ratio. Also, the sign of the interaction
                term Zombie*Capital Adequacy Ratio in this marginal impact is negative, which implies
                that the lending declined less for the zombie firms that engaged with undercapitalized
                banks.


             Decline in Firm’s Capital Investment
             7.40  Banks’ tightening of credit supply negatively impacts healthy borrowers as it forces firms
             to  cut  down  on  their  investments  and  capital  expenditures. Thus,  the  likelihood  of  stalling
             of ongoing projects increases. Figure 28 plots the value of stalled projects for firms. There
             is a significant increase in the value of stalled projects following the AQR for firms exposed
             to banks affected by the AQR when compared to firms that engaged with unaffected banks.
             Chopra, Subramanian, and Tantri (2020) find that the firms more exposed to the AQR- affected
             banks could not entirely replace their credit supply from other financial institutions. Thus, these
             firms became financially constrained and reduced their capital expenditures, leading to ongoing
             projects being stalled.
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