3.2.5. Control Variables (Con)

Referring to prior studies [31,64], we took gender, age, education, job grade, and job tenure as control variables. For gender, male was coded 1, and female was coded 2. Age was divided into four groups: 30 years old or under, between 31 and 40 years old, between 41 and 50 years old, and over 50 years old, coded as 1–4, respectively. Education was divided into four groups: senior high school (polytechnic school) or under, junior college, undergraduate, or graduate and above, coded as 1–4, respectively. Job grade was divided into four groups: general staff, junior managers, middle managers, and senior managers, coded as 1–4, respectively. Job tenure was assessed by the number of years. Moreover, we controlled for firm type, size, and age. The firm type was divided into four groups: private, foreign, state-owned, and Sino–foreign joint ventures, coded as 1–4, respectively. The number of employees represented firm size and was divided into four groups: fewer than 20, between 20 and 50, between 51 and 200, and over 200, coded as 1–4, respectively. The number of years that the firm had been established was used to measure age. The study divided firm ages into two groups: 10 years or under and over 10 years, coded as 1 or 2, respectively.

#### *3.3. Statistical Modeling*

Based on the aforementioned theoretical analysis and research hypotheses, we tested the relationships between environmental corporate social responsibility, shared vision capability, green innovation performance, and resource slack by constructing models to be tested as follows.

$$\text{GIP} = \beta\_0 + \beta\_1 \text{ FCS} + \sum \alpha\_i \text{ Corr}\_i \ (i = 1, 2, 3, 4, 5, 6, 7, 8) + \varepsilon \tag{1}$$

$$\text{SVC} = \beta\_0 + \beta\_1 \text{ ECOR} + \sum \alpha\_i \text{Con}\_{\text{i}} \text{ (i = 1, 2, 3, 4, 5, 6, 7, 8)} + \varepsilon \tag{2}$$

$$\text{GIP} = \beta\_0 + \beta\_1 \text{ SVC} + \sum \alpha\_i \text{Con}\_{\text{i}}\left(\text{i} = 1, 2, 3, 4, 5, 6, 7, 8\right) + \varepsilon \tag{3}$$

$$\text{GIP} = \beta\_0 + \beta\_1 \text{ ECSR} + \beta\_2 \text{ SVC} + \sum \alpha\_i \text{ Con}\_i \text{ (i = 1, 2, 3, 4, 5, 6, 7, 8)} + \varepsilon \tag{4}$$

$$\text{GIP} = \beta\_0 + \beta\_1 \text{ FCS} + \beta\_2 \text{ RS} + \beta\_3 \text{ FCS} \times \text{RS} + \sum \alpha\_i \text{ Conj}\_i \text{ (i = 1, 2, 3, 4, 5, 6, 7, 8)} + \varepsilon \quad \text{(5)}$$

Equation (1) was used to test the impact of environmental corporate social responsibility on green innovation performance. Equations (1)–(4) were used to confirm the mediating role of shared vision capability in the relationship between environmental corporate social responsibility and green innovation performance. Equation (5) was used to test the moderating role of resource slack in the relationship between environmental corporate social responsibility and green innovation performance. β0, β1, β2, β3, and α<sup>i</sup> (i = 1, 2, 3, 4, 5, 6, 7, 8) are regression coefficients. ε is a random error term.
