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This study analyzes the impact of public participation on the choice of third-party evaluators' behavior strategies during the service quality supervision process of China's pension public–private partnership project. An evolutionary game model between third-party evaluators and government regulators is developed, wherein the evolution rule of the two sides and public participation’s influence on their behavior under the two different conditions are analyzed, and a numerical simulation is carried out using MATLAB 2016a. It is found that third-party evaluators may choose the false evaluation strategy without public participation because of the inducement of rent-seeking or insufficient government punishment when the regulatory revenue of the government regulatory agencies is less than the regulatory cost. In contrast, in the case of public participation, the true evaluation strategy is chosen with an improvement in the level of public participation or an increase in reputation incentive. This suggests the construction and improvement of a third-party evaluation system, which shows that the construction of the service quality supervision system in China’s pension PPP project has a large operating space.

Enhancing green innovation levels is an important objective of the pilot low-carbon city policy (PLCC) in China, but the spatial and temporal heterogeneity of the PLCC policy’s effect on green innovation is unclear. Based on panel data from 285 Chinese cities during 2005–2020, this paper assesses the impact of PLCC on regional green innovation using the difference-in-difference (DID) method. The empirical results demonstrate that the PLCC can obviously promote urban green innovation. In terms of the temporal dimension, the policy effect of PLCC on regional green innovation shows an inverted “U” shape and peaks in the seventh year after implementation. From the spatial dimension, the PLCC can promote surrounding cities’ green innovation through spatial spillover effects within 200 km, and the spillover effect decreases with increasing distance. Mechanism analysis indicates that the PLCC policy can promote regional green innovation by enhancing regional environmental regulations and alleviating financing constraints. This paper explores the temporal and spatial policy effects of PLCC, which can provide effective paths and policy recommendations for China to achieve its “dual carbon” goals.

    Industrial structure low-carbon restructuring is an essential channel to accelerate China’s economic growth and fulfilling carbon emission reduction goals. Whether carbon emission trading pilot policy, as an influential carbon reduction instrument, fosters industrial structure low-carbon restructuring is of major significance to green economic development. This paper empirically investigates the shock of the carbon emission trading pilot policy on industrial structure low-carbon restructuring using the differences-in-differences (DID) and synthetic control method (SCM). Statistics reveal that sectors with low carbon productivity, such as electricity, steam, and hot water production and supply, ferrous metal smelting and pressing, etc., and sectors with high carbon productivity, such as electrical equipment and machinery, electronics and telecommunication equipment, etc. The industrial structure did not develop a stable trend of change before the 12th Five-Year Plan, but a stable trend of low-carbon restructuring emerged after such a period. Carbon emission trading pilot policy significantly facilitates industrial structural low-carbon restructuring. Carbon emission trading pilot policy inhibits energy-intensive industries in the industrial sector significantly, which promotes industrial structure low-carbon restructuring. Therefore, policymakers need to develop a nationwide carbon emission trading market that includes more industries to guide production factors to industrial sectors with high carbon productivity for industrial restructuring and dual carbon goals.

This paper explores the impact of green credit ( Cre ) on low-carbon transition ( Lct ) and its influence mechanisms. Theoretically, Cre promotes environmentally induced R&D (ER&D), which in turn affects Lct . Empirically, using a panel data of 30 Chinese provinces and cities from 2004 to 2019, we measure the provincial ER&D and carbon emission performance ( Cep ), based on which we conduct an econometric analysis. It is observed that Cre promotes Lct (that is, Cre reduces carbon emission and improves Cep ). This conclusion still holds after a series of robustness tests and endogeneity treatments. And the impact of Cre on Lct is asymmetrical due to regional differences in physical and geoclimatic characteristics, income levels, and financing constraint levels. Second, ER&D is an important mechanism of action for Cre enhancing Lct . Further analysis reveals that ER&D can affect Lct through energy transition effects and green innovation effects. Finally, the positive effect of Cre on ER&D is significant in high level of Lct regions, but insignificant in low level of Lct regions. Based on this, specific policy recommendations from the perspective of developing Cre and establishing an incentive mechanism for ER&D are put forward.

With the development of e-commerce, online retailers has increasingly developed their own store brand to compete with the national brand. It is necessary for the manufacturers who sell national brand products through these online retailers to consider strategically when making the selling mode decisions. Motivated by such practice issue, we consider a theoretic model comprised of a national brand manufacturer and an online retailer. The retailer chooses to introduce an average store brand, a premium store brand or neither, and the manufacturer sells national brand products through the retailer under reselling or agency selling mode. Comparing and analyzing the six possible scenarios, we investigate the interaction between the retailer’s store brand strategy and the manufacturer selling mode selection. We find that the unit production cost and the quality of the national brand affect the retailer’s store brand strategy. Under the reselling format, the retailer prefers to introduce a premium store brand when the national brand cost is relatively low. While under the agency selling format, the retailer prefers to introduce a premium store brand when the cost is low but the quality is high. Interestingly, we further find that the manufacturer may benefit from the premium store brand introduction. Whether for the reselling or agency selling, there exists the “win–win” situation for the manufacturer and the retailer with a higher national brand quality. Overall, our results provide several management insights for the online retailer’s store brand introduction and the manufacturer’s selling mode selection.

To verify the impact mechanism between infrastructure capital investment and regional economic growth in China, this study first estimates production capital stocks of the infrastructure by Perpetual Inventory Method (PIM) based on a balanced panel dataset for 31 Chinese provinces, autonomous regions and municipalities covering 1993-2017, then analyses the important mediating role of regional innovation capacity in the relationship between infrastructure capital investment and regional economic growth in China. The empirical results indicate that infrastructure capital investment can effectively promote economic growth in China. Furthermore, through analysing the mediating impact mechanism, the infrastructure capital investment can indirectly affect regional economic growth through the regional innovation capacity. When fully considering the potential heterogeneity, the mediating effect of developed regions is more significant than that of underdeveloped regions, and such a mediating effect is increasing with deepening industrialization. Therefore, a harmonious relationship between infrastructure capital investment and economic growth can be achieved if policymakers attempt to arouse the positive mediating role of regional innovation capacity when formulating relevant policies.

The templating method holds great promise for fabricating surface nanopatterns. To enhance the manufacturing capabilities of complex surface nanopatterns, it is important to explore new modes of the templates beyond their conventional masking and molding modes. Here, we employed the metal-organic framework (MOF) microparticles assembled monolayer films as templates for metal electrodeposition and revealed a previously unidentified guiding growth mode enabling the precise growth of metallic films exclusively underneath the MOF microparticles. The guiding growth mode was induced by the fast ion transportation within the nanochannels of the MOF templates. The MOF template could be repeatedly used, allowing for the creation of identical metallic surface nanopatterns for multiple times on different substrates. The MOF template-guided electrochemical growth mode provided a robust route towards cost-effective fabrication of complex metallic surface nanopatterns with promising applications in metamaterials, plasmonics, and surface-enhanced Raman spectroscopy (SERS) sensing fields. Templating method holds great promise for fabricating surface nanopatterns. Here authors present a guiding growth mode using metal-organic framework microparticles as templates during metal electrodeposition, where metals exclusively grow underneath the microparticles.

Achieving versatile dispersion of nanoparticles in a broad range of solvents (e.g., water, oil, and biofluids) without repeatedly recourse to chemical modifications are desirable in optoelectronic devices, self-assembly, sensing, and biomedical fields. However, such a target is limited by the strategies used to decorate nanoparticle’s surface properties, leading to a narrow range of solvents for existing nanoparticles. Here we report a concept to break the nanoparticle’s dispersible limit via electrochemically anchoring surface ligands capable of sensing the surrounding liquid medium and rotating to adapt to it, immediately forming stable dispersions in a wide range of solvents (polar and nonpolar, biofluids, etc.). Moreover, the smart nanoparticles can be continuously electrodeposited in the electrolyte, overcoming the electrode surface-confined low throughput limitation of conventional electrodeposition methods. The anomalous dispersive property of the smart Ag nanoparticles enables them to resist bacteria secreted species-induced aggregation and the structural similarity of the surface ligands to that of the bacterial membrane assists them to enter the bacteria, leading to high antibacterial activity. The simple but massive fabrication process and the enhanced dispersion properties offer great application opportunities to the smart nanoparticles in diverse fields. Nanoparticles that can disperse in a broad range of solvents are desirable. Here, the authors report nanoparticles featuring rotatable surface ligands that enable the formation of stable dispersions in a wide range of solvents.

A comprehensive study of the formation process of haze events in the Jinan area of China during winter is conducted based on the ground-based and satellite observation data from 1 December 2020 to 12 January 2021. According to variation of pollutant concentrations, two typical types of haze pollution are found in the Jinan area. During the type 1 haze pollution, the PM2.5 concentrations are greater than 75 μgm−3 and less than 115 μgm−3 with a short duration. The haze is mainly caused by local pollutant emissions and the accumulation of pollutants transported from areas around Jinan. By contrast, type 2 haze pollution episodes have a long duration and peak PM2.5 concentrations between 150 μgm−3 and 250 μgm−3, which is considered heavy pollution. Type 2 haze pollution is mainly caused by a mixture of long-range transported dust with locally emitted pollutants. Moreover, the unfavorable meteorological factors such as stable inversion layer, continuous cold high-pressure system, high relative humidity, and low wind speed play an important role in the formation of both types of haze pollution. In addition, there are significant photochemical processes during the haze pollutions. According to satellite data, the AOD in Jinan and surrounding areas is maintained at a high-level during haze pollution. It indicates that the local pollution is often accompanied by regional pollution during haze pollution events. This study reveals the formation process of haze pollution and promotes the study of regional climate change, which can provide guidance to the government in the prevention and control of haze pollution in East China.