Table 7.

Robustness – endogeneity checks

Variables(1)(2)(3)(4)(5)
Climate riskIndustrialisationIndustry growthEconomic developmentEconomic growth
Carbon emission−13.231*** (−5.705)    
Climate risk −0.008*** (−2.840)−0.009* (−1.863)−0.001*** (−2.916)−0.001** (2.038)
Economic development4.215 (1.329)3.069*** (5.281)−0.432* (−1.668)  
Economic growth−0.168* (−1.770)−0.102*** (−5.989)−0.076*** (−7.211)  
International trade 0.037*** (3.324)0.023*** (6.265)0.000 (0.820)0.013*** (6.049)
Foreign direct investment −0.024** (−2.435)−0.010 (−0.971)−0.001 (−0.979)0.003 (0.680)
Population−6.907*** (−6.994)−1.380** (−2.099)0.864*** (3.059)−0.024 (−1.164)0.367*** (4.976)
Urban population0.601*** (4.124)−0.005 (−0.204)−0.043*** (−3.730)0.030*** (15.713)−0.037*** (−5.979)
Population growth1.398* (1.654)−0.279* (−1.745)0.651*** (4.701)−0.045*** (−2.721)0.502*** (7.026)
Natural resources0.842*** (3.819)0.696*** (25.067)0.008 (0.392)0.005* (1.653)−0.012 (−0.860)
Institutional quality −3.551*** (−4.423)−0.295 (−0.873)0.945*** (21.541)0.364** (2.367)
Industrialisation0.371* (1.805)  0.021*** (6.371)0.046*** (3.414)
Industry growth−0.016 (−0.398)    
Constant114.972*** (4.271)−33.319*** (−5.294)0.747 (0.318)6.828*** (17.388)−3.257*** (−2.816)
Observations2,1942,0122,0002,0152,013
Number of countries175164163164164
Notes:

This table presents the endogeneity check using S-GMM. Robust t-statistics are given in parentheses: ***p < 0.01; **p < 0.05; *p < 0.1

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