Table 9:

Climate change exposure and the costs of high leverage: Investors.

Investors - Equity IssuanceInvestors - Debt Issuance
(1)(2)(3)(4)
CCEXPOt-2 × HLEVt-2-0.0020(-1.40)-0.0019(-1.38)-0.0054**(-1.99)-0.0053*(-1.96)
CCEXPOt-2-0.0001(-0.08)-0.0001(-0.09)0.0011(0.74)0.0011(0.73)
CSRt-2 × HLEVt-2 0.0010(0.68) 0.0023(1.18)
CSRt-2 0.0003(0.27) -0.0001(-0.05)
HLEVt-20.0140***(5.86)0.0138***(5.82)-0.0459***(-13.24)-0.0461***(-13.27)
SIZEt0.0233***(4.66)0.0234***(4.66)0.0840***(17.02)0.0841***(17.04)
COMPETITIONt-0.1664(-1.21)-0.1670(-1.22)0.0256(0.29)0.0258(0.29)
PROFITt-1-0.1366***(-2.79)-0.1366***(-2.79)0.0317(1.16)0.0318(1.16)
PROFITt-2-0.0788***(-2.77)-0.0789***(-2.77)-0.0069(-0.26)-0.0070(-0.26)
INVESTMENTt-10.1285***(3.14)0.1285***(3.14)0.3534***(8.20)0.3531***(8.20)
INVESTMENTt-20.0371(1.02)0.0374(1.03)-0.0475(-1.19)-0.0470(-1.18)
SELLEXPt-1-0.0037(-0.37)-0.0038(-0.37)0.0213*(1.95)0.0213*(1.95)
SELLEXPt-2-0.0278***(-3.32)-0.0278***(-3.32)0.0182**(2.41)0.0182**(2.41)
COGSt-10.0010(0.08)0.0011(0.09)0.1534***(9.10)0.1536***(9.10)
COGSt-20.0341*(1.90)0.0341*(1.90)0.0149(0.94)0.0148(0.94)
PENALTYt-1-0.0002(-1.10)-0.0002(-1.09)-0.0005**(-2.19)-0.0005**(-2.18)
PENALTYt-2-0.0004**(-2.45)-0.0004**(-2.45)-0.0005**(-2.04)-0.0005**(-2.05)
CONSTANT0.1237*(1.70)0.1245*(1.71)-0.0028(-0.04)-0.0019(-0.02)
N18,30418,30418,85818,858
R-squared10.80%10.80%11.92%11.93%
Firm F.E.YYYY
Year × Industry F.E.YYYY
Note: This table reports the results of the effect of climate exposure on the costs of high leverage related to financing capacities. The dependent variable in Models 1 and 2 is firms’ equity issuance (EQUITY_ISSUE); the dependent variable in Models 3 and 4 is firms’ debt issuance (DEBT_ISSUE). The main variable of interest is the interaction term between industry-adjusted climate change exposure (CCEXPO) and a dummy variable that equals 1 if, in that year, the firm’s long-term debt-to-assets ratio ranks in the top three deciles of the overall sample (HLEV). Additional variable definitions are in the Appendix. All control variables are adjusted to their industry-year means and are winsorized at the 1st and 99th percentiles. Further, we require that each industry-year contains at least four firms to be qualified in the analysis so that the industry-year mean is not biased toward outliers. The sample period is 2004 —2020. The t-statistics based on heteroskedasticity-robust standard errors and clustered at the firm level are reported in parentheses. Asterisks denote statistical significance at the 1% (***), 5% (**), or 10% (*) level.

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