- 學位論文
探討企業內部碳定價對財務績效的影響
Exploring the Influence of Internal Carbon Pricing on Financial Performance
摘要
氣候變遷為環境帶來的衝擊日益嚴重，全球許多國家已承諾在2050年實現淨零碳排放目標，為了有效控制碳排放量，各國政府紛紛制定出碳定價制度，碳定價已成為衡量溫室氣體排放的政策工具。 當內部碳定價(Internal Carbon Pricing, ICP)被企業納入財務與投資當中，成為具有成本效益的重要工具，本研究旨在使用LightGBM探討企業導入ICP對財務績效的影響，同時於研究中建立出財務績效預測模型，在氣候變遷及低碳政策上的不確定性，預測模型有助於企業獲取更大的財務利潤。 儘管ICP近年來被企業廣泛使用，但實際公開數據的企業並不多，由於國外地區實施ICP的時間早於國內，因此本研究欲參考國外過往的數據來預測國內情形。研究結果顯示採用國外過去的經驗預測國內企業財務狀況是可行的，並驗證了ICP的導入對財務績效具有一定的影響，故實施ICP對企業來說相當重要，搭配財務績效預測模型可使企業做出更正確的決策。
並列摘要
Climate change is posing escalating challenges to the environment. Globally, numerous countries have pledged to achieve Net Zero by 2050. To curb carbon emissions, governments are progressively implementing carbon pricing mechanisms. Carbon pricing has become a crucial policy tool for measuring greenhouse gas emissions. When Internal Carbon Pricing (ICP) is incorporated into the financial and investment strategies of businesses, it becomes a cost-effective tool. This study aims to utilize LightGBM to explore the impact of incorporating ICP on the financial performance of enterprises. Simultaneously, the research seeks to establish a predictive model for financial performance. Given the uncertainties surrounding climate change and low-carbon policies, the predictive model can assist businesses in optimizing financial profits. Despite the widespread adoption of Internal Carbon Pricing by businesses in recent years, there is a scarcity of companies with publicly disclosed data on its implementation. Given that the implementation of ICP in foreign regions predates that in domestic settings, this study seeks to leverage historical data from international contexts to extrapolate insights into the domestic landscape. The research results indicate that forecasting the financial conditions of domestic enterprises by drawing on past experiences from international contexts is a feasible approach. Moreover, the study validates the discernible impact of Internal Carbon Pricing (ICP) on financial performance. Therefore, adopting ICP is notably important for businesses, and when combined with a financial performance predictive model, it enables enterprises to make more accurate decisions.