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Table 2 Model parameters and descriptions

From: How to govern greenwashing behaviors in green finance products: a tripartite evolutionary game approach

Parameters

Descriptions

Range

\(\alpha\), \(1 - \alpha\)

Probability of the investors choosing feedback or non-feedback

\(0 \le \alpha \le 1\)

\(\beta\), \(1 - \beta\)

Probability of the enterprises investing in green projects or greenwashing projects

\(0 \le \beta \le 1\)

\(\gamma\), \(1 - \gamma\)

Probability of the regulatory authorities’ active supervision or passive supervision

\(0 \le \gamma \le 1\)

\(V_{e}\)

Profit of the enterprises’ investment in green projects

\(V_{e} > 0\)

\(R_{e}\)

Reputational benefits of enterprises from investors for green projects

\(R_{e} > 0\)

\(C_{e}\)

Cost of enterprises for green projects

\(C_{e} > 0\)

\(F_{e}\)

Penalty for enterprises carrying out greenwashing projects

\(F_{e} > 0\)

\(g_{1}\)

Quality of green projects

\(g_{1} > 0\)

\(R_{i}\)

Economic incentive for investor feedback

\(R_{i} > 0\)

\(C_{i}\)

Cost of investors choosing feedback

\(C_{i} > 0\)

\(L_{i}\)

Losses by investors investing in greenwashing projects

\(L_{i} > 0\)

\(L_{e}\)

Compensation from enterprises to investors

\(L_{e} > 0\)

\(R_{r}\)

Benefit of regulatory authorities from active supervision

\(R_{r} > 0\)

\(C_{r}\)

Cost of regulatory authorities’ active supervision

\(C_{r} > 0\)

\(L_{s}\)

Social welfare losses caused by greenwashing projects

\(L_{s} > 0\)

\(L_{r}\)

The reputational losses of regulatory authorities’ passive supervision

\(L_{r} > 0\)