Abstract：
This article contributes to the scant literature exploring the determinants of methane emissions. A lot is explored considering CO2 emissions, but fewer studies concentrate on the other most long-lived greenhouse gas (GHG), methane which contributes largely to climate change. For the empirical analysis, a large dataset is used considering 192 countries with data ranging from 1960 up to 2022 and considering a wide set of determinants (total central government debt, domestic credit to the private sector, exports of goods and services, GDP per capita, total unemployment, renewable energy consumption, urban population, Gini Index, and Voice and Accountability). Panel Quantile Regression (PQR) estimates show a non-negligible statistical effect of all the selected variables (except for the Gini Index) over the distribution\'s quantiles. Moreover, the Simple Regression Tree (SRT) model allows us to observe that the losing countries, located in the poorest world regions, abundant in natural resources, are those expected to curb methane emissions. For that, public interventions like digitalization, green education, green financing, ensuring the increase in Voice and Accountability, and green jobs, would lead losers to be positioned in the winner\'s rankings and would ensure an effective fight against climate change.
摘要：
本文为探索甲烷排放决定因素的少量文献做出了贡献。考虑到二氧化碳排放，我们进行了很多探索，但是很少有研究集中在其他最长寿的温室气体(GHG)上，甲烷在很大程度上导致了气候变化。为了进行实证分析，使用了一个大型数据集，考虑了192个国家，数据范围从1960年到2022年，并考虑了一系列广泛的决定因素(中央政府债务总额，对私营部门的国内信贷，货物和服务出口，人均GDP,总失业率,可再生能源消费，城市人口,基尼系数,和声音和责任)。面板分位数回归（PQR）估计显示了所有选定变量（除了基尼指数）对分布分位数的不可忽略的统计影响。此外，简单回归树(SRT)模型允许我们观察到失败的国家，位于世界最贫穷的地区，自然资源丰富，是那些有望遏制甲烷排放的。为此，数字化等公共干预措施，绿色教育,绿色融资,确保声音和责任的增加，和绿色工作，这将导致失败者在获胜者的排名中占据一席之地，并确保有效应对气候变化。
