This paper examines the relationship between Corporate Social Responsibility (CSR) and Corporate Financial Performance (CFP) using panel data for 228 Chinese mineral listed firms from 2010 to 2013 with Pooled Least Squares regression analysis. Our study considers five different sublevel CSR issues—shareholder responsibility, employee responsibility, environmental responsibility, public responsibility, and supplier, customer and consumer responsibility—in capturing the effects of CSR elements on CFP. The estimation results show the different effects of each sublevel CSR issue on CFP. Overall, shareholder, employee responsibility, environmental responsibility, supplier, customer and consumer responsibility have significant relationships with CFP, which are the stakeholders who have the closest linkage with firm operations. Meanwhile, public responsibility outside the firm does not show significant interaction with CFP, which is why many mineral firms ignore the public interest and this leads to conflicts. Shareholder responsibility has the most significant positive effect on CFP. Supplier, customer and consumer responsibility and environmental responsibility usually have negative effects on CFP as costs increase. Moreover, all 228 listed mineral firms that were selected in this paper have been classified into five sub-sectors: the extractive industry, metal fabrication industry, oil and gas industry, gas and water-related industry, and oil-producing equipment industry, based on the Industry Classification Benchmark (ICB). Our study shows that the differences in the relationship between CSR and CFP for five sublevel industries are due to industry characteristics. If the government wants to solve these conflicts and positively encourage firms to adopt CSR, it is necessary to create a mining development environment whereby firm profits are closely tied to CSR.
Scientific water resource carrying capacity (WRCC) evaluations are necessary for providing guidance for the sustainable utilization of water resources. Based on the driving-pressure-state-impact-response feedback loop, this paper selects 21 indicators under five dimensions to construct a regional WRCC comprehensive evaluation framework. The projection pursuit clustering (PPC) method is implemented with the matter-element extension (MEE) model to overcome the limitations of subjective deviation and indicator attribute incompatibility in traditional comprehensive assessment methods affecting the accuracy of evaluations. The application of the integrated evaluation model is demonstrated in Baoding city in the Jing-Jin-Ji area from 2010 to 2017. The results indicate that the economic water consumption intensity is the most influential factor that impacts the WRCC change in Baoding, and the pressure subsystem and response subsystem are dominant in the entire system. The WRCC in Baoding significantly improved between 2010 and 2017 from a grade V extremely unsafe state to a grade III critical state. Natural water shortages and large population scales are the main negative factors during this period; however, the existing measures are still insufficient to achieve an optimal WRCC status. Considering the future population and industry inflow, additional actions must be proposed to maintain and promote harmonious conditions.
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