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Under the Belt and Road Initiative (BRI), China and BRI countries mutually benefited from the trade in the economy. Meanwhile, considerable CO 2 emissions were embodied in the trade, possibly putting pressure on China's "3060" target of peaking CO 2 emissions before 2030 and achieving carbon neutrality by 2060. Yet less is known about the heterogeneous impacts of BRI-induced trade on China, especially at the provincial level. This study quantifies the provincial mismatch of CO 2 emissions and economic benefits induced by BRI countries' final demand using the latest linked multiregional input-output model. We found that provinces in China paid around 0.24–7.01 Mt embodied CO 2 emissions to obtain per unit billion USD dollars in fulfilling BRI countries' final demand. Regarding the sectoral patterns, embodied CO 2 emissions of electricity, gas, and water sector accounted for the largest proportion (more than 50%) for 60% of provinces. Other services sector greatly contributed to each province's economic benefits. We also found that only 15.2% of these embodied CO 2 emissions could be mitigated even though upgrading the technology levels of all sectors in backward provinces to China's average level. This indicated that measures relying on the current technology are far from enough for achieving the carbon targets. Therefore, it is urgent to deepen the technology innovation and reform of emission sectors in the short term. In the long run, seeking new long-term pathways of emission reduction, such as optimizing trade structure, is conducive to promoting the sustainable development of BRI and the "3060" realization. [Display omitted] • Assessment of embodied provincial CO 2 emissions and value-added under BRI. • Scenario analysis is conducted to assess emission reduction potential under BRI. • Developed provinces got more wealth at similar costs of CO 2 emissions in China. • Upgrading sectoral technological levels to China's average level is insufficient. [ABSTRACT FROM AUTHOR]

Data play an increasingly crucial role in decision evaluation. However, the noise and redundant information in the data create confusion to the decision makers. To solve this problem, this paper creates a new attribute reduction model based on technique for order preference by similarity to an ideal solution (TOPSIS), grey correlation analysis and coefficient of variation approaches. First, we obtain the time weights of panel data in different years by TOPSIS and then transfer the panel data into a cross-sectional data matrix. Second, we delete the overlapping attributes by grey correlation analysis method. Third, we use the coefficient of variation to select the attributes with the highest information content. Finally, the proposed attribute reduction model has been varied based on the green economy evaluation data of 15 sub-provincial cities in China. The experimental findings provide decision-making reference for the local government policymakers to adjust or formulate green economic development strategies. [ABSTRACT FROM AUTHOR]

We used conservation of resources theory to explore the moderated mediation effect of employees' emotional intelligence on their innovative behavior in an organization context. Data were collected from 237 employees and their supervisors in two innovative Chinese enterprises, with a dual time point pairing design. The results show that emotional intelligence positively influenced innovative behavior via innovative process engagement, a strongly negative organizational political climate negatively moderated the effect of emotional intelligence on innovative process engagement, and innovative process engagement mediated the relationship between emotional intelligence and innovative behavior. These results support the need to strengthen the management of employees' emotions; to build a new ecology of organizational politics in China (e.g., offering fair pay and promotions); and to promote coworker relationships that are characterized by openness, transparency, and integrity, to promote innovation among employees. [ABSTRACT FROM AUTHOR]