The impact of firm leverage on investment decisions: The new approach of hierarchical method

Mo Tran Thi, Ha Hoang Thi Thu and Diep Nguyen Thi Thanh

Cogent Business & Management, 2023, vol. 10, issue 2, 2209380

Abstract: This paper investigates the impact of firm leverage on its investment activities. Especially, the research is conducted in the context of the Vietnamese emerging market, an incomplete market in South East Asia with the existence of inefficient market problems such as information asymmetry and agency conflicts which are the root cause of the relationship between corporate leverage and investment. Regarding methodology, we build the two main types of econometric models: traditional multiple regression and multilevel model (also called hierarchical, mixed, or nested data model). The purpose of employing the multilevel model is to observe the hierarchical structure of data and the effect of each data level in the hierarchy on firm investment that the traditional regression model may fail to achieve. We construct three-level predictors (three levels of leverage) for investment: observation unit, firm level, and industry level. We find that debt used in a firm can harm or reduce its investment activities. All three hierarchical levels of leverage show negative and significant effects on investment. Especially, the impact of leverage at the first level of data clustering on investment gets stronger under the moderation of industry leverage. In this case, the multilevel model is a more appropriate estimation method than the traditional regression.

Date: 2023
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DOI: 10.1080/23311975.2023.2209380

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