Corporate carbon emissions

企业碳排放
  • 文章类型: Journal Article
    企业碳绩效是实现企业可持续发展的关键驱动力。识别影响企业碳排放的因素是提高碳绩效的基础。基于碳披露项目(CDP)数据库,我们整合最小绝对收缩和选择算子(LASSO)回归模型和固定效应模型来确定碳排放的决定因素。此外,我们根据决定因素的重要性进行排序。我们发现Capx在所有碳环境下都进入模型。对于范围1和范围2,财务层面的因素发挥更大的作用。对于范围3,企业内部激励政策和减排行为很重要。与绝对碳排放不同,对于相对碳排放,财务层面的因素\'偿债能力是企业碳排放影响的重要参考指标。
    Corporate carbon performance is a key driver of achieving corporate sustainability. The identification of factors that influence corporate carbon emissions is fundamental to promoting carbon performance. Based on the carbon disclosure project (CDP) database, we integrate the least absolute shrinkage and selection operator (LASSO) regression model and the fixed effects model to identify the determinants of carbon emissions. Furthermore, we rank determining factors according to their importance. We find that Capx enters the models under all carbon contexts. For Scope 1 and Scope 2, financial-level factors play a greater role. For Scope 3, corporate internal incentive policies and emission reduction behaviors are important. Different from absolute carbon emissions, for relative carbon emissions, the financial-level factors\' debt-paying ability is a vital reference indicator for the impact of corporate carbon emissions.
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  • 文章类型: Journal Article
    企业社会责任(CSR)在企业可持续发展领域变得越来越重要。然而,很少有文献关注发展中国家的企业社会责任和企业碳排放之间的关系。本文旨在通过从融资约束的角度探讨企业社会责任与企业碳强度之间的关系来填补这一空白。本文利用2011-2019年中国上市公司数据,运用中介效应模型检验了融资约束的中介效应。本文的分析结果如下:(1)企业社会责任可以降低企业碳强度。(2)融资约束在两者之间具有正向的中介作用。即,企业社会责任可以减少企业的融资困难,增强碳中性能力。(3)不同生命周期企业社会责任的碳减排效果不同。(4)企业社会责任对国有企业碳强度有较大的影响,高新技术企业,和重污染企业。这些事实为中国等发展中国家推进企业社会责任和碳治理提供了有意义的参考。
    Corporate social responsibility (CSR) is becoming increasingly important in the field of corporate sustainability. However, little literature has focused on the relationship between CSR and corporate carbon emissions in developing countries. This paper aims to fill this gap by exploring the relationship between CSR and corporate carbon intensity from the perspective of financing constraints. We examine the mediating effects of financing constraints using a mediating effects model by using Chinese listed companies data from 2011 to 2019. The analysis results of this paper are as follows: (1) CSR can reduce corporate carbon intensity. (2) Financing constraints have a positive mediating role between the two. Namely, CSR can reduce the financing difficulties of enterprises, and enhance carbon-neutral capacity. (3) The carbon emission reduction effect of CSR is different in different life cycles. (4) CSR has a greater impact on the carbon intensity of state-owned enterprises, high-tech enterprises, and heavy polluting enterprises. These facts provide meaningful references for developing countries such as China to promote CSR and carbon governance.
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  • 文章类型: Journal Article
    低碳转型已成为中国的重点,正如碳峰值的实施所证明的那样,碳中和政策,导致企业层面对环境绩效的日益关注。本文通过基于EIO-LCA的方法测量了1089家中国公司的碳排放量。然后,我们研究了国际原油价格波动和公司发展水平对单个公司碳排放的影响。我们的结果表明,国际原油价格不确定性的增加可能会抑制公司的碳排放。并行,我们发现,公司的发展水平与环境绩效之间可能存在环境库兹涅茨曲线(EKC)倒U型相关性。然而,企业碳绩效可能会出现一些例外,由于特定的公司特征,如国有性质和公司是否在证券交易所上市。我们的研究结果可以帮助企业在低碳转型过程中优化其内部碳排放结构,并为实现碳减排目标的有效政策法规做出贡献。
    Low-carbon transformation has become a key priority in China, as demonstrated in the implementation of the Carbon Peak, Carbon Neutralization policy, leading to increasing concern of environmental performance at the corporate level. This paper measures the carbon emission of 1,089 Chinese companies through the EIO-LCA-based approach. Then we examine the impacts of international crude oil price fluctuations and the corporate development level on carbon emissions of individual companies. Our results indicate that an increase in international crude oil price uncertainty could inhibit the company\'s carbon emission. In parallel, we find that there might exist an environmental Kuznets curve (EKC) inverted U-shaped correlation between the company\'s development level and its environmental performance. However, some exceptions to corporate carbon performance may emerge, resulting from specific corporate characteristics such as the state-owned nature and whether the firm is listed on the stock exchange. Our results could help companies optimize their internal carbon emission structure during the low-carbon transition process and contribute to effective policy regulations towards the target of carbon reduction.
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