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The purpose of this paper is to explore the impact of ChatGPT on the development of corporate social responsibility (CSR).

Based on the current applications of ChatGPT in enterprises and existing challenges in CSR, the paper analyzes how the tool promotes corporate sustainable development and what potential risks and challenges are in the practical application.

This paper finds that ChatGPT can promote the development of CSR from four aspects: to support social responsibility activities, to strengthen internal control, to promote external supervision and to convey the notion of sustainability and other corporate philosophies for enterprises.

This paper provides the ground for applying ChatGPT to CSR and includes the potential risks and challenges of the practical applications that enterprises can use for reference.

ChatGPT is becoming increasingly popular and mature, but its applications and effectiveness are less mentioned in CSR. In the future, the research in this area needs to be further advanced.

This paper makes contributions to the link between ChatGPT and CSR. To the best of the authors’ knowledge, this is one of the first studies that explore the applications, impacts, challenges and opportunities of the technology in the area of social responsibility.

The purpose of this study is to evaluate the impact of environmental uncertainty on corporate social responsibility (CSR), and involves corporate financial investment as mediating factor into this relationship to identify whether Chinese enterprises pursue fame or profit under rising environmental uncertainty.

Data of listed companies in China from 2010 to 2019 are employed. Fixed effect and mediating effect models were used to explore the relationship between environmental uncertainty, corporate financial investment, and CSR. The heterogeneity influence and moderating effect are discussed by using the method of grouping test and adding interactive items.

The study finds that rising environmental uncertainty has a negative impact on CSR. It stimulates managements' short-sighted motivation, so that enterprises prioritize financial investment that can solve short-term goals, rather than CSR performance. This inhibitory effect is caused by holding illiquid financial assets with the motivation of “speculative profit seeking.” The negative effect is greater in the samples of state-owned enterprises, nonfamily enterprises and enterprises with low risk-taking.

It provides a decision-making direction for implementation of CSR governance and the construction of CSR system, particularly in emerging market economies.

CSR is widely known in developed countries for its formation, development and role, but its effectiveness and behavioral motivation are less mentioned in emerging markets. In the future, the research in this area needs to be further advanced.

The study makes significant contributions to the mechanisms behind the link between environmental uncertainty and CSR by taking corporate financial investment as an intermediary factor into the analysis, especially in the unique market context of China.

This paper aims to study the issues of output reachable set estimation for the linear singular Markovian jump systems (SMJSs) with time-varying delay based on a proportional plus derivative (PD) bumpless transfer (BT) output feedback (OF) control scheme.

To begin with, a sufficient criterion is given in the form of a linear matrix inequality based on the Lyapunov stability theory. Then, a PD-BT OF controller is designed to keep all the output signs of the system are maintain within a predetermined ellipsoid. Finally, numerical and practical examples are used to demonstrate the efficiency of the approach.

Based on PD control and BT control method, an OF control strategy for the linear SMJSs with time-varying delay is proposed.

The output reachable set synthesis of linear SMJSs with time-varying delay can be solved by using the proposed approach. Besides, to obtain more general results, the restrictive assumptions of some parameters are removed. Furthermore, a sufficiently small ellipsoid can be obtained by the design scheme adopted in this paper, which reduces the conservatism of the existing results.

The purpose of this paper is to examine the effect of New Rural Pension Scheme (NRPS) on the private transfer behavior of the non-co-resident adult children to their elderly parents in rural China, and hence address the income redistribution effectiveness of public program for the elderly in rural China.

Pooled data from two waves of the China Health and Retirement Longitudinal Study and the combination of regression discontinuity design and difference in difference method are used to perform the analysis.

No evidence is found that pension payment from NRPS program does significantly crowd out the economic support from the adult children to their elder parents. The heterogeneous effects at different income percentile indicate that pension payment significantly increases the probability of receiving gross transfers and likelihood of the net transfer being positive for those elderly individuals with low income; in particular, the distinctive “family binding” arrangement may dramatically contribute to increasing the probability of receiving private transfers for the pension recipients.

The empirical findings would have far-reaching implications for the efficacy of public transfer or re-distributive programs such as NRPS; for the rural elderly, in particular, the unique “family binding” mechanism under the NRPS program may have positive welfare effects on the intended beneficiaries. Furthermore, an understanding of the inter-linkage between informal arrangements of elderly support and social re-distributive program provides further insight into the design of social security systems targeted to the vulnerable group in developing countries.

The purpose of this paper is to separate and purify flavonoids from glycyrrhiza by macroporous adsorption resin (MAR) mixed-bed technology.

The adsorption performance of MAR and MAR mixed bed for flavonoids was studied using ultraviolet-visible spectrophotometry.

The research shows that the MAR mixed bed of LZ-50+LZ-59 with a mass ratio of LZ-50:LZ-59(m:m) = 1:1 was the optimized combination with the optimal conditions of adsorption (pH = 6, T = 45°C) and desorption (liquid ratio R = 70%, T = 50°C, pH = 8) obtained, relatively.

This paper provides a novel way to separate flavonoids from glycyrrhiza. Under the optimal conditions, the adsorption rate (F) of MAR mixed-bed LZ-50+LZ-59 to the flavonoids was 62.5 per cent/g, the desorption rate (D) was 89.23 per cent and the purity was achieved at 80 per cent.