Lifeng Chen

The main objective of this study is to explore how ESG disclosure effectively promotes technological innovation capabilities (TIC) and also in different industries (green vs. high-tech). Further, examine the role of financing constraint (FC) in the relationship between the ESG disclosure and TIC. We employed the panel regression model, Causal step approach, Bootstrap mediation effect test, 2SLS, and GMM model. We used Bloomberg’s ESG disclosure score of China’s A-share listed companies from 2011 to 2019 (1); we found that the ESG disclosure has a significant relationship with corporate innovation indicators (OTI, STI, NSTI) and play a significant role in promoting TIC at different levels of corporate innovation (2) ESG disclosure of non-green (high-tech) industry is more effectively promote TIC than green (non-high tech) industry (3) ESG disclosure can promote corporate innovation by reducing the level of corporate financing constraints, and FC has a partial intermediary role between ESG and TIC.

Socially and environmentally responsible investing is becoming the benchmark in financial markets. Promoting emerging industries’ environmental performance, social responsibility, and corporate governance (ESG) ratings are increasingly becoming the consensus of multinational green financial institutions, investors, and governments. This study employs 3100 panel data from 2014 to 2019 to conduct empirical research on green innovation, ESG indicators, and the financial performance of China’s Growth Enterprise Market (GEM) listed companies. Based on the “causal steps approach”, we adopt the Sobel–goodman and Bootstrap test to explore the partial mediation effect of ESG indicators. Moreover, when testing the interactive effect of endogeneity, instrumental variables combined with two-stage least squares (2SLS) and a general method of moments (GMM) system are applied in the dynamic panel for robustness. Combing with the approach of ESG factors-integrated and ESG factors-embedded regression models, we find that: (1) Green innovation can significantly improve the ESG scores of GEM listed companies. (2) Both green innovation and ESG performance can improve the financial performances of GEM listed companies, and ESG performance plays an indirect mediating role in the promotion of green innovation on financial performance. (3) Both political connection strength and regional innovation capabilities can negatively moderate the promotion of green innovation on financial performance, and moderating the effect of corporate political connections is more significant than the regional innovation. This study expands the research on the effectiveness of ESG indices and green innovation from the view of micro-GEM companies, providing policy enlightenment for the sustainable development of emerging industries. Our findings provide noteworthy implications for regulators, academicians and practitioners interested in exploring green innovation, ESG rating and financial performance. In addition, providing regulators and the board of directors with insights into the company’s and country’s future growth prospects.

In this paper, we propose a new kind of numerical simulation method for backward stochastic differential equations (BSDEs). We discretize the continuous BSDEs on time‐space discrete grids, use the Monte Carlo method to approximate mathematical expectations, and use space interpolations to compute values at non‐grid points. To demonstrate the accuracy and the effectiveness of our method, several numerical examples are given.