As an effective regulatory tool, environmental information disclosure is significant in promoting the green upgrading of industrial structures and achieving green transformation of enterprises. In order to explore the impact mechanism of environmental information disclosure on corporate sustainability performance, this paper constructs a two-way fixed-effect model using balanced panel data of Chinese A-share listed manufacturing companies from 2015 to 2020. We find that environmental information disclosure significantly impacts green innovation, thereby improving corporate sustainability performance. Furthermore, financing constraints inhibit the impact of environmental disclosure on sustainability performance, while female directors have only symbolic effect. The reliability of the paper’s findings is verified by replacing the dependent variable and introducing instrumental variables. Heterogeneity analysis shows that the effect of environmental information disclosure on corporate sustainability performance is more substantial among non-state and eastern and heavily polluting enterprises. Comprehensive analysis from the financing perspective shows the differences in the moderating effects of debt and equity financing regarding the impact mechanism. This study enriches the theory of green innovation and provides financing strategies for enterprises to achieve green transformation, as well as suggestions for improving the government environmental information disclosure system.
Green credit policy (GCP), as one of the key financial instruments to achieve ’carbon peaking’ and ‘carbon neutrality’ targets, provides capital support for the green development of enterprises. This paper explores the impact mechanism of GCP on the sustainability performance of heavily polluting enterprises (HPEs) from the perspectives of technological innovation level (TIL) and credit resource allocation (CRA), using panel data for Chinese A-share listed manufacturing companies from 2010 to 2015 to construct a propensity score matching and differences-in-differences (PSM-DID) model. We find that GCP has a causal effect on corporate sustainability performance (CSP). Although GCP significantly improves CSP, there is no long-term effect. Heterogeneity analysis shows that the relationship between GCP and CSP is only significant in non-state-owned enterprises and in eastern and low-market-concentration enterprises. Mechanism tests indicate that GCP stimulates HPEs to invest more in technological innovation and thereby improves CSP through the innovation compensation effect; the credit constraint and information transfer effects caused by GCP reduce the credit resources available to HPEs but have a significant forced effect on CSP. This paper enriches the study of the economic consequences of GCP and provides implications for stakeholders to improve the green financial system and achieve green transformation of HPEs.
Complexity modelling of economic efficiency and growth potential is increasingly essential for countries and provinces. Evaluating the monetary flows, kinetic energy (efficiency) and potential capacity (resilience) provides crucial information for economic development. In the paper, the authors analyze growth opportunities for the Chinese economy from a system science point of view, using the perspective of information entropy, based on the input-output tables. Over the past four decades of reform and opening-up, China has made remarkable progress in its economic development. In 2007, China's GDP was at its fastest pace in history at 14.2% growth. However, after the financial crisis in 2008, the global economy experienced a downward trend and China's economic development also settled on a medium-low level of development. The traditional perspective is to rank regional development only based on GDP growth, whereas here, the authors advocate another evaluation method based on efficiency and potential growth. Unbalanced regional economic development has become problematic and has become a barrier for sustainability of China's economy. The results of the research indicate firstly that China's regional development in 2007 and 2012 has been unequal between the provinces. Secondly, the authors found that Shandong province had significantly higher indicators for efficiency and potential growth than others in the same circumstances. Authors observe that provinces tend to carry out industrial policies and adjust the structure of industry on a local level. This analysis demonstrates that the spatial imbalance of efficiency and potential of economic development under the perspective of provincial-level regions. From the perspective of industry, it indicates that the supply chain is too short, mainly focusing on the mining and processing of resources and minerals in the original upstream industry chain, while the downstream is not fully utilized. These represent some unique insights yielded through this type of analysis that authors advocate applying more broadly.PLOS ONE | https://doi.org/10.1371/journal.pone.0227206 January 28, 2020 1 / 24
OPEN ACCESSCitation: Yan J, Feng L, Denisov A, Steblyanskaya A, Oosterom J-P (2020) Complexity theory for the modern Chinese economy from an information entropy perspective: Modeling of economic efficiency and growth potential. PLoS ONE 15(1): e0227206. https://doi.org/10.
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