The predicament of increasing environmental issues in the last few decades has increased the interest in clean energy sources. Some recently created sources of energy, for example, biomass energy, may decrease environmental pressure. This study aimed to uncover the causality between biomass energy consumption (BEC) and carbon dioxide (CO₂) emission in the United States (U.S.) using the bootstrap Granger full-sample and sub-sample rolling window estimates method for the period 1981M01 to 2019M12. A one-way relationship was indicated, from biomass energy consumption to CO₂ emissions, using the Granger causality test. The durability of the estimated vector autoregressive (VAR) model has been calculated by considering the structural changes. The results show that BEC has both positive and negative effects on CO₂ emissions in sub-samples, and CO₂ emissions also show a causative relationship with biomass energy consumption. These outcomes can help policymakers consider biomass energy a perfect wellspring of energy to acquire environmental sustainability and energy security.

在过去的几十年中，环境问题日益严重的困境增加了人们对清洁能源的兴趣。一些最近创建的能源，例如生物质能，可能会降低环境压力。这项研究的目的是使用自举式格兰杰（Granger）全样本和子样本滚动窗口估计方法（1981M01至2019M12）揭示美国（美国）生物质能消耗（BEC）与二氧化碳（CO ₂）排放之间的因果关系。从生物质能源消耗到CO ₂，表明存在单向关系排放，使用格兰杰因果关系检验。已通过考虑结构变化来计算估计的矢量自回归（VAR）模型的耐久性。结果表明，BEC对子样本中的CO ₂排放既有正面影响，也有负面影响，并且CO ₂排放也与生物质能源消耗之间存在因果关系。这些成果可以帮助决策者将生物质能源视为获取环境可持续性和能源安全的理想能源之源。