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Does bank credit to the private sector promote low-carbon development in Brazil? An extended STIRPAT analysis using dynamic ARDL simulations

机译:银行信贷是否促使私营部门促进巴西的低碳发展? 使用动态ARDL模拟进行延长的搅拌分析

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In support of the global efforts to tackle climate change, policy makers in the past decades have been actively involved, exploring possible options for ensuring low-carbon pattern of development. This study contributes to this important stream of policy discussion by using a newly developed econometric technique, dynamic ARDL simulations, to estimate and simulate the impact of bank credit to the private sector on aggregate carbon emissions and carbon emission intensity in Brazil over the period 1971-2014. The examined empirical model is based on a framework that incorporates the impact of population, economic growth, fossil energy intensity of consumption, and economic globalization. The analysis produced interesting results. First, the estimates show that economic growth and fossil energy intensity of consumption have significant long-run increasing impact on CO2 emissions in Brazil. Second, bank credit to the private sector has significant short-run and long-run reducing effects on aggregate CO2 emission and carbon emission intensity in the economy. Overall, the results reflect the tendency of the economy to become less carbon-intensive as bank credit supply to the private sector increases.
机译:为了支持全球努力解决气候变化,在过去几十年的政策制定者已经积极参与,探索了确保低碳发展模式的可能选择。本研究有助于通过使用新制定的计量经济技术,动态ARDL模拟,估计和模拟银行信贷对1971年的总碳排放和碳排放强度的私营部门对私营部门的影响的重要政策讨论。 2014年。该检验的经验模型基于框架,该框架融入了人口,经济增长,化石能源强度和经济全球化的影响。分析产生了有趣的结果。首先,估计表明,经济增长和化石能源强度对巴西二氧化碳排放产生了显着的影响。其次,对私营部门的银行信贷对经济中的总二氧化碳排放和碳排放强度进行了重大短期和长期的减少影响。总体而言,结果反映了经济变得较低的碳密集,作为银行信贷供应对私营部门的增加。

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