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As absolute poverty in China, measured by the current standard, is being eliminated, the focus of future poverty reduction projects will necessarily shift to addressing relative poverty. Contiguous poverty areas have been identified in Hebei province around Beijing and Tianjin (HABT), and this is not conducive to the coordinated development of the Beijing-Tianjin-Hebei region. The dynamic identification of relative poverty at the county level within the region must be the basis for formulating scientific strategies for poverty reduction. Night light (NTL) data can reveal socio-economic information and reflect human activities, and has a wide range of other applications for evaluating and identifying poverty. For this reason, NPP/VIIRS (Visible Infrared Imaging Radiometer Suite equipped on the Suomi National Polar orbiting Partnership satellite) NTL data from 2012 to 2020 were corrected, and NTL data for HABT were obtained. A multidimensional relative poverty index (MRPI) that assesses being “free from worries over food and clothing and having access to compulsory education, basic medical services, and safe housing” using social statistical data was created with the analytic hierarchy process and entropy weight method. A panel regression model with fixed effects was established for MRPI and corrected NPP/VIIRS NTL data. The R2 of fitting was 0.6578 and confirmed a strong correlation between MRPI and corrected NPP/VIIRS NTL data. Based on this, the MRPI estimation model was constructed based on the MRPI and corrected NPP/VIIRS NTL data, and passed the accuracy test. Finally, using the national list of poverty counties, it was verified that, at the county scale, the corrected NPP/VIIRS NTL data could effectively identify areas of relative poverty. This study lays the foundation for the use of NPP/VIIRS NTL data in the identification of areas of relative poverty. It provides a feasible method and data reference for analyzing relative poverty at a smaller scale. The dynamic identification of areas of relative poverty can also provide a basis for formulating scientific poverty reduction strategies.

This study hypothesizes that employees’ positive perceptions of corporate social responsibility (CSR) activities at the individual level have a negative effect on employee deviance—a negative job-related behavior—and that anomie plays a mediating role in this relationship. In order to verify the relationship, this study conducts an empirical analysis with a questionnaire survey on employees of firms that implement CSR activities at the company level. Based on Social identity theory, this study examines the causal relationship between the employees’ perceptions of CSR activities and their deviance, and mechanisms by which anomie decreases in the process. The findings are as follows. First, employees’ perceptions of CSR activities had a negative effect on employee deviance. Second, employees’ perceptions of CSR activities had a negative effect on anomie. Third, anomie had a positive effect on employee deviance. Fourth, anomie fully mediated the relationship between employees’ perceptions of CSR activities and employee deviance. This study is the first to document this relationship, which has great practical and academic significance, as it indicates the importance for companies to consider employees’ perceptions of CSR activities. In addition, the study identifies the mediating role of anomie as mentioned above. The results suggest that methodological considerations of CSR awareness enhancement at the company level be discussed more in depth, helping top management and middle managers understand that enhancing employees’ positive perceptions of CSR activities should be the first priority for reducing collective normlessness under the pressure of goal attainment and resolving ethical conflicts among employees.

Corporate governance (CG) has been experiencing a shift from the antecedent shareholder-oriented system toward the recent more popular stakeholder-oriented system. To better serve the aim of sustainable development, more and more companies have initiated stakeholder-oriented practices. Increasing social responsibility behaviours demonstrate the prioritisation of stakeholders’ interests. Nevertheless, most extant research on stakeholder-oriented CG focuses on MNEs and large listed companies. Limited attention has been paid to the small and medium-sized enterprises (SMEs) sector. This study aims to fill this gap by providing empirical evidence of Chinese SME corporate social responsibility (CSR). We develop and test two hypotheses by using samples of 172 Chinese listed SMEs. Our result is distinct from most of the extant SME CG literature, given that the stakeholder-oriented CSR types have a negative impact on short-term operational profitability and expansion over a fixed period. Additionally, the government subsidy, as one of the most significant national institutions, partially moderates the relationship between stakeholder-oriented CSR and firm performance. The outcomes of this research make both theoretical and managerial contributions to SMEs’ CG systems. In the context of Chinese SME CSR, managerial stakeholder theory is a more pragmatic means to guide firms toward sustainable development than ethical stakeholder theory.

This paper aims at investigating the relationship between financial inclusion and the formation of entrepreneurs, both theoretically and empirically. We first construct a theoretical model to examine how the development of financial inclusion affects the formation of entrepreneurs. The model suggests that the development of financial inclusion can mitigate credit constraints on entrepreneurial activities by reducing information asymmetry in financial transactions, and in addition this effect is greater in industries with lower barriers to entry. Then, using data from 31 provinces and 19 industries in China during the period 2005–2014, we test the impact of financial inclusion on the formation of entrepreneurs. The estimation results confirm the positive effect of financial inclusion development on the formation of entrepreneurs, and indicate that this effect is heterogeneous across industries. Moreover, the development of financial inclusion is often beneficial to the formations of entrepreneurs in sectors with lower entry barriers.

This paper uses the non-balanced panel data of 285 prefecture-level cities in China from 2011 to 2017 and the Peking University Digital Inclusive Finance Index to examine the impact of the development of digital inclusive finance on urban carbon emission intensity. The results show that the development of digital inclusive finance has a significantly negative impact on urban carbon emission intensity. By using the spherical distance between various cities and Hangzhou as an instrumental variable to deal with the potential endogeneity problem, the results still hold. Mechanism analysis shows that digital inclusive finance can reduce urban carbon emission intensity by promoting green and low-carbon travel modes of public transport and the use of clean energy. Compared with other regions, the effect of digital inclusive finance in reducing urban carbon emission intensity is more significant in the western region and in cities with low economic development. Against the background of the carbon peaking and carbon neutrality goals, we find that accelerating the development of digital inclusive finance can effectively promote the green and low-carbon transition of cities.

We used the corporate social responsibility (CSR) data from Hexun Finance to analyze the three channels of market investor evaluation in the process of Chinese listed companies’ mergers and acquisitions (M&A). We found that: (1) because many CSR behaviors of Chinese listed companies are passive, driven by the environment, government, and regulatory authority, rather than proactive CSR for the long-term interests of the company, Chinese market investors are not concerned with the CSR performance of acquirers before the merger; (2) because passive CSR behavior cannot change the system risk and heterogeneity risk of the acquirers, CSR has no effect on the investor evaluation at the acquirer merger; (3) passive CSR can be used to evaluate public opinion, but CSR cannot change the market concerns of investors because investors only consider the systemic risks and heterogeneity rather than the social media evaluation of the company when pricing; and (4) with further study of the integration effect of CSR after M&A, we found that CSR does not reduce the M&A premium, only increases the return on asset (ROA) of the company within one year after M&A, and does not improve the company’s ROA for a long time. Our conclusions help explain why Chinese financial market investors are not concerned with the CSR performance of the M&A party prior to M&A.

This study identifies the factors of ethical climate in hotel companies in light of the growing importance of ethics in corporate management. It determines the effects those factors have on organizational trust and, in turn, the effect organizational trust has on organizational citizenship behavior (OCB). A survey was conducted on employees working at five-star hotels in Seoul, Korea, followed by an empirical analysis of the data. The ethical climate in hotel companies comprises seven factors: self-interest, efficiency, friendship and team interest, social responsibility, personal morality, rules and standard operating procedures, and laws and professional codes. The following were discovered. First, among these ethical climate factors, social responsibility, personal morality, rules and standard operating procedures, and laws and professional codes affected trust in supervisors. Second, social responsibility and laws and professional codes affected trust in the organization; trust in the supervisor and organization—factors of organizational trust—affected the OCB directed toward individuals and the organization. Based on these results, this study provides ways to increase organizational trust and improve the OCB of employees by creating an ethical climate in hotel companies.

A recursive multisector dynamic computable general equilibrium (DCGE) model simulates the economic impacts of carbon tariffs, as proposed by the USA, ranging from $40/t to $60/t CO2. We examine a carbon tax and export subsidy as response policies to the U.S. carbon tariff, respectively. The dynamic model shows the possible impacts of these policies on China’s economic structure, carbon emissions, and social welfare from 2020 to 2030. Simulations show that a carbon tariff changes the structure of China’s exports and promotes trade diversion from the USA to other countries and regions. A domestic carbon tax and subsidy policy can dampen the adverse impacts of carbon tariffs on trade. A carbon tax shows an effective impact on increasing clean energy use, decreasing the carbon intensity of output, and reducing carbon emissions. A subsidy on exports to the USA reduces the adverse impact of a carbon tariff on China’s social welfare in the short term.