Based on 279 cities in China from 2011 to 2019 as research samples, this study used a fixed-effect regression model to investigate the influence of government and public dual-subject environmental concerns on urban haze pollution. The results show that: (1) Government and public environmental concerns have a significant negative impact on urban haze pollution. The results are still valid after a series of robustness tests and controlling for endogenous problems. (2) Further research found that dual-subject environmental concerns have a stronger negative effect on urban haze pollution in areas where there is a low level of Internet development and in western regions. (3) Through the test of the intermediary mechanism, it can be seen that the environmental concerns of the government and the public can reduce haze pollution by reducing policy uncertainty and capital element misallocation. In general, the policy effect is greater than the capital allocation effect. The research conclusions of this study will help to deepen the interpretation of the role of the government and the public in environmental governance and also provide a reference for cities to further promote haze governance.
To overcome the fruit’s perishability, mulberry wine has been developed as a method of preservation. However, dynamic changes in metabolites during mulberry wine fermentation have not been reported yet. In the present investigation, UHPLC-QE-MS/MS coupled with multivariate statistical analyses was employed to scrutinize the metabolic profiles, particularly the flavonoid profiles, throughout the process of vinification. In general, the major differential metabolites encompassed organic heterocyclic compounds, amino acids, phenylpropanoids, aromatic compounds, and carbohydrates. The contents of total sugar and alcohol play a primary role that drove the composition of amino acids, polyphenol, aromatic compound, and organic acid metabolites based on the Mantel test. Importantly, among the flavonoids, abundant in mulberry fruit, luteolin, luteolin-7-O-glucoside, (−)-epiafzelechin, eriodictyol, kaempferol, and quercetin were identified as the differential metabolic markers during blackberry wine fermentation and ripening. Flavonoid, flavone and flavonol biosynthesis were also identified to be the major metabolic pathways of flavonoids in 96 metabolic pathways. These results will provide new information on the dynamic changes in flavonoid profiles during black mulberry winemaking.
Among the ways to reduce carbon emission intensity (CEI), increasing the intensity of research and development intensity (RDI) plays an important role in the process. In China, how RDI reduces CEI has attracted widespread attention. Most scholars have not considered spatial effects in the study of the correlation between RDI and CEI; therefore, this paper uses panel data of 30 Chinese provinces from 2007–2019 as a research sample to explore the spatial effects of RDI on CEI using spatial measures, analyzes the regulatory effects of the market and government in the process using the interaction effect model, and explores the role and mediating effects in the process of industrial upgrading, technological innovation and human capital effects using the mediating effect model. The empirical results illustrate that: (1) RDI and CEI have significant positive spatial autocorrelation. The spatial clustering characteristics of CEI have obvious regional differences. (2) RDI reduces the CEI of the local area while it has the same reducing effect on the CEI of the surrounding areas. The conclusion is robust. (3) The market and government play a facilitating role in RDI that affects CEI, but there are regional differences. (4) RDI can indirectly reduce CEI by promoting industrial upgrading, improving technological innovation, and increasing human capital. Finally, according to the research conclusions, the paper put forward policy suggestions: strengthen regional cooperation, guide funds into the research and development field, improve the business environment, promote technological innovation and train relevant talents. The research content and findings of this paper enrich the theories related to the influence of RDI on CEI, and have certain implications for future research on CEI based on spatial perspective.
Climate change caused by greenhouse gas emissions has received widespread attention in recent years. In this paper, panel data of 30 Chinese provinces from 2007 to 2019 are used as research samples to explore research and development input (RDI) on carbon emission intensity (CEI). They are using spatial measurement method, interaction effect model, and mediation effect model, this paper studies whether RDI reduces China's CEI. The empirical results illustrate a positive spatial autocorrelation between RDI and CEI. The spatial agglomeration characteristics of CEI have apparent regional differences. RDI can reduce not only the local CEI, but also the CEI of surrounding areas, and the results are robust. The market and government play an important role in RDI that affects CEI, but there are regional differences. At the same time, RDI can indirectly reduce CEI by promoting industrial upgrading, improving technological innovation, and increasing human capital.
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