Data, population, and sample
This study incorporated all energy and basic materials companies listed on the Indonesian Stock Exchange from 2016 to 2021. The total population consists of 936 firm-years. Of this total population, 24 firm-years were excluded because they were delisted from the Indonesian Stock Exchange during the same period. Next, the total number of energy and basic materials companies was further reduced to 721 firm-years, by removing incomplete data variables, companies that did not have annual or sustainability reports, or outlier data. Subsequently, the final sample consisted of 191 firm-years (Table 1).
Table 1
Sample Selection of Firm-Years in 2016–2022
Description
|
Total
|
|
Panel A: Distribution selection of sample data
Population
All energy and basic materials companies
companies listed on IDX within 2016–2022
|
936
|
|
Minuses:
Delisting companies
Companies with incomplete data, unavailable reports, and outliers data
|
(24)
(721)
|
|
Total sample firm-years
|
191
|
|
Panel B: Distribution of data by industry and year
|
|
|
Industry
|
Year
|
Total
|
2016
|
2017
|
2018
|
2019
|
2020
|
2021
|
2022
|
Energy
|
2
|
2
|
2
|
6
|
12
|
18
|
21
|
63
|
Basic materials
|
2
|
2
|
10
|
16
|
25
|
36
|
37
|
128
|
Total
|
4
|
4
|
12
|
22
|
37
|
54
|
58
|
191
|
GICS: Global Industry Classification Standard
Source: Data processed (2024)
|
[Insert Table 1 here]
Variable operationalization
Dependent variable
Firm value was the dependent variable in this study. Firm value is the stakeholders’ assessment of the company’s current and future performance (Yadav et al., 2016). Tobin’s Q is used as a proxy for firm value. Tobin’s Q is the book value of total assets minus the book value of equity plus the market value of equity divided by the book value of total assets (Abdi et al., 2020). Tobin’s Q was used to measure financial performance because it can capture the value of long-term investments such as intangible assets (Abdi et al., 2020).
Independent variables
The independent variable in this study was green investment. Green investment is a socially responsible investment that adheres to environmental concepts (Zhang and Berhe, 2022). Green investment is a company’s effort to manage environmental problems by reducing the negative impact of business activities on the environment; therefore, green investment can increase competitive advantage, reputation, and firm value. Green investment was measured according to previous studies (Chen and Ma, 2021; Eyraud et al., 2013; Wang et al., 2018; Zheng and Jin, 2023).
$$\:Green\:Investment=\frac{Total\:enviromental\:investment}{Total\:assets\:\:}$$
Mediating variables
Sustainability performance was used as the mediating variable. Sustainability performance is defined as company behaviour that aims to positively influence stakeholders and goes beyond their economic interests (Zhang and Berhe, 2022). Sustainability performance measurement items have been used to assess the mediating role of sustainability performance on corporate green investment and firm value (Zhang and Berhe, 2022). In this study, the measurement items for sustainability performance were economic, social, and environmental aspects which were adapted using the applicable Global Reporting Initiative (GRI) (GRI, 2016). In this study, sustainability performance was measured by an index that reflected the level of GRI content analysis results using a dummy variable with a score of 1 if disclosed and 0 otherwise (Boiral and Henri, 2017; Thuy et al., 2021).
Control variables
The purpose of including control variables was to avoid misspecification of the empirical model used in the research and avoid biased calculation results. Variables that influenced firm value in extant literature were used as control variables in this study: size (Bing and Li, 2019; Bose et al., 2022; Chen and Ma, 2021), leverage (Abdi et al., 2022; Bing and Li, 2019; Chen and Ma, 2021), sales growth (Alsayegh et al., 2023; Marhfor et al., 2022), and lagged Tobin’s Q (Bing and Li, 2019).
a) Firm size (Company size)
Bing and Li (2019), Bose et al. (2022), and Chen and Ma (2021) found that size influences firm vale. Thus, this study predicts that firm size will significantly influence firm value. Mathematically, the size variable was formulated as follows (Bing and Li, 2019; Bose et al., 2022; Chen and Ma, 2021).
$$\:Size=\text{ln}{TotalAsset}_{t}$$
b) Leverage
Abdi et al. (2022), Bing and Li (2019), and Chen and Ma (2021), found an effect of leverage on firm value. This study predicts that leverage significantly influences firm value. Mathematically, the leverage variable is formulated as follows (Abdi et al., 2022; Bing and Li, 2019; Chen and Ma, 2021).
$$\:Leverage=\:\frac{Total\:debt}{Total\:assets}$$
c) Sales growth
Alsayegh et al., (2023a) and Marhfor et al., (2022) observed the influence of sales growth on firm value. This study predicts that sales growth significantly influences firm value. Sales growth is measured using the following formula (Alsayegh et al., 2023; Marhfor et al., 2022).
$$\:Sales\:Growth=ln\frac{{sales}_{t}}{{sales}_{t-1}}$$
d) Lagged Tobin’s Q
Bing and Li (2019) observed an effect of lagged Tobin’s Q on firm value. This study predicts that lagged Tobin’s Q significantly influences firm value. To measure lagged Tobin’s Q, the Tobin’s Q value is used the year before the observation or t-1 (Bing and Li, 2019).
Table 2 displays the variables used in this study along with the definition, data source, and reference of the measurement.
Table 2
Variables
|
Definitions
|
Data sources
|
References
|
Dependent variable Firm Value (FV)
|
Tobin Q is defined as the book value of total assets minus the book value of equity, plus the market value of equity, divided by the book value of total assets.
|
OSIRIS database
|
(Abdi et al., 2020)
|
Independent variable Green Investment (GI)
|
\(\:Green\:Investment=\frac{Total\:enviromental\:expenditure}{Total\:assets\:\:}\)
|
Annual report and sustainability report
|
(Chen & Ma, 2021; Eyraud et al., 2013; Wang et al., 2018; Zheng & Jin, 2023)
|
Mediating variables Sustainability Performance (SP)
|
Content analysis (GRI G4 for 2016–2018 and GRI Standard for 2019–2022)
|
Annual report and sustainability report
|
(Boiral & Henri, 2017; Thuy et al., 2021)
|
Control variables Firm size (Size)
|
Natural logarithm of total assets
|
OSIRIS database
|
(Bing & Li, 2019; Bose et al., 2022; Chen & Ma, 2021)
|
Leverage (Lev)
|
\(\:Leverage=\:\frac{Total\:debt}{Total\:assets}\)
|
OSIRIS database
|
(Abdi et al., 2022; Bing & Li, 2019; Chen & Ma, 2021)
|
Sales growth (SalesGr)
|
\(\:Sales\:Growth=ln\frac{{sales}_{t}}{{sales}_{t-1}}\)
|
OSIRIS database
|
(Alsayegh et al., 2023; Marhfor et al., 2022)
|
Lagged Tobin's Q (LgTQ)
|
Tobin's Q of the year before observation or t-1
|
OSIRIS database
|
(Bing & Li, 2019).
|
Source: Data processed (2024)
|
[Insert Table 2 here]
Research methodology
The study used direct influence analysis tools and analysis with mediator variables used in the research with PROCESS Model 4, namely simple mediation (Hayes, 2022) found in SPSS. Following (Hayes, 2022), this study adopted a three-stage procedure from a simple mediation model to estimate the mediating effect of sustainability performance (SP) on the relationship between green investment (GI) and firm value (FV). The first step was to examine whether a causal relationship exists between green investments and firm value. The second step examined whether a significant relationship exists between the independent and mediator variables, estimated using Eq. (1). The third step examined the effect of the independent variable GI on the dependent variable FV when controlling for the mediator SP (estimated using Eq. (2)). The regression models were as follows:
$$\:{FV}_{it}={\beta\:}_{0}+{\beta\:}_{1}{GI}_{it}+\sum\:{Control}_{it}+{\epsilon\:}_{it}$$
1
$$\:{SP}_{it}={\alpha\:}_{0}+{\alpha\:}_{1}{GI}_{it}+\sum\:{Control}_{it}+{\epsilon\:}_{it}$$
2
$$\:{FV}_{it}={\beta\:{\prime\:}}_{0}+{\beta\:{\prime\:}}_{1}{GI}_{it}+{\beta\:}_{2}{SP}_{it}+\sum\:{Control}_{it}+{\epsilon\:}_{it}$$
3
The mediating effect of sustainability performance on the relationship between green investment and firm value was also examined (Fig. 1). The detailed three-step mediation procedure is shown in Fig. 2. Eq. (1) tested the total effect of green investment on firm value (β1): If β1 is significant (otherwise, the analysis is terminated), the process proceeds to Equations (2) and (3), which examined the indirect effect of green investment on firm value mediated by sustainability performance. If both the indirect effects (α1 and β2) and direct effects (β'1) are significant, then a complementary mediation effect exists. Otherwise, if the direct effect (β'1) is insignificant but the indirect effects (α1 and β2) are significant, a competitive mediation effect exists (Hayes, 2022).
[Insert Fig. 2 here]