Can digital economy development contribute to urban carbon emission reduction? - Empirical evidence from China.

In the context of global digitalization, fostering the expansion of the digital economy holds immense importance in promoting energy efficiency and reducing emissions. Utilizing a sample of 281 prefecture-level cities in China from 2003 to 2019, this research analyzes the impact of the digital economy on urban carbon emissions in China. This study employs various methods, including principal component analysis, fixed-impact model, and mediating effect model. Based on the research findings, the development of the digital economy has the potential to significantly reduce carbon emissions in metropolitan areas. Moreover, these effects are especially noticeable in cities located to the east of the Hu Huanyong Line. These cities are characterized by limited reliance on resources and a high level of marketization. Further research reveals that promoting technical innovation and modernizing industrial structures can reduce the intensity of carbon emissions in metropolitan areas. This study provides empirical evidence supporting the effective reduction of carbon emissions in developing countries during the evolution of the digital economy. It acts as a crucial cornerstone for guiding policies and executing strategies aimed at fostering top-tier economic development in the future. The findings of this study confirm the inhibitory effect of the digital economy on urban carbon emission intensity. However, this study has limitations in data samples, research scope, and depth of mechanism analysis, which prevent a full exploration of the spatial spillover effect of the digital economy and other factors. Therefore, the conclusions drawn in this study can only provide empirical evidence for identifying the relationship between the digital economy and carbon emission intensity to a certain extent. Future research should aim to expand on these aspects.

Fermented bamboo powder activates gut odorant receptors, and promotes intestinal health and growth performance of dwarf yellow-feathered broiler chickens.

The present study investigated the effects of fermented bamboo powder (FPB) on gut odorant receptors (OR), intestinal health, and growth performance of dwarf yellow-feathered broiler chickens. Six hundred (600) healthy 1-day-old chicks were randomly assigned into 2 groups, with 10 replicates consisting of 30 chicks each. The control group was fed a basal diet. In contrast, the experimental group was fed the basal diet supplemented with 1.0, 2.0, 4.0, and 6.0 g/kg FBP for 4 different phases, namely phase I (1-22 d), phase II (23-45 d), phase III (46-60 d), and phase IV (61-77 d), respectively. The first 2 phases were considered pretreatment (0-45 d), and the remaining were experimental (46-77 d) periods. The tissue samples were collected from phase IV. The chickens in the FBP supplementation group exhibited a significant increment in body weight gain, evisceration yield, breast, thigh, and liver weight, while also experiencing a decrease in the FCR (P < 0.05). Furthermore, the villus height, crypt depth, and villus area exhibited significant increases in the FBP group (P < 0.01). Additionally, the secretion levels of gut hormones such as glucagon-like peptide-1, peptide YY, cholecystokinin, and 5-hydroxytryptamine were significantly elevated in the serum, duodenum, jejunum, and ileum tissues in the FBP group (P < 0.05). The results of qRT-PCR indicated that ORs had responsive expression in the gizzard, proventriculus, and small intestine of chickens when fed with the FBP diet (P < 0.05). Notably, the expression of the COR1, COR2, COR4, COR6, COR8, COR9, OR52R1, OR51M1, OR1F2P, OR5AP2, and OR14J1L112 genes was stronger in the small intestines compared to the gizzard and proventriculus. In conclusion, these results suggest that the FPB plays a crucial role in growth performance, activation of ORs, and gut health and development.

Hourly global solar radiation prediction based on seasonal and stochastic feature.

Accurate and detailed solar radiation data play a crucial role in the simulation of building thermal and photovoltaic systems. However, developing a highly precise and dependable solar radiation model using cost-effective data has proven challenging. This work proposes a new attenuation solar radiation model formed by conducting a comprehensive analysis of existing models and gaining new insights into solar radiation's seasonal and stochastic properties. Meanwhile, the model is constructed using easily obtainable surface meteorological parameters. The results demonstrate that the proposed model exhibits good performance in terms of prediction accuracy. Moreover, the majority of existing hourly solar radiation models have been primarily developed for clear-sky conditions. However, there is a growing demand for solar radiation hourly estimations that can uphold a high level of accuracy and reliability even in different weather state. Conversely, the proposed model is developed and validated by more than twenty year's meteorological data encompassing various weather conditions in Japan. It effectively captures the stochastic nature of solar radiation by utilizing turbidity parameters, even on cloudy and rainy days. Additionally, the inclusion of interaction variables significantly enhances its interpretability.

Coupling and coordinated development of low-carbon economy and green finance: an empirical study of the Yangtze River Delta region in China.

The introduction of China's double carbon target has led to a new stage in the development of China's low-carbon economy, while the development of China's green finance is also facing new challenges. Based on the determining of the relationship between low-carbon economy and green finance, this study selected the Yangtze River Delta city cluster of China, an exemplary region for the development of low-carbon economy and green finance, constructed a multi-level comprehensive index system covering two systems of low-carbon economy and green finance and conducted a coupled and coordinated relationship analysis based on the panel data of green finance and low-carbon economy-related indicators from 2016 to 2020. The empirical results showed that the interaction between the low-carbon economy system and the green finance system in the Yangtze River Delta region gradually weakened during 2016-2020, and the mechanism of interaction between the two systems has not been fully developed and utilized. Overall, the development of green finance in all four provinces and cities has not gained sufficient momentum, which is a constraint to the coupled and coordinated development of low-carbon economy and green finance in the four provinces and cities in the Yangtze River Delta. Zhejiang Province and Jiangsu Province performed better in terms of the scale of green finance and the use of diversified instruments, while Shanghai City performed better in terms of low-carbon economy, whereas Anhui Province needs to improve in both low-carbon economy and green finance.

Behavioral change in waste separation at source in an international community: An application of the theory of planned behavior.

Analysing and understanding the factors that influence the behavior of waste separation is critical to improved waste management. This study identified the factors behind behavioral change in waste separation at source in an international community. The theory of planned Behavior (TPB) was adopted to conduct a self-report questionnaire survey twice, in which 354 residents participated at Time1 and 331 at Time 2, with a retention rate of 93.5%. The questionnaires were designed based on TPB with additional questions regarding waste separation rules in the community, experience of waste separation, and environmental knowledge. With the questionnaire data and follow-up qualitative interviews, factors related to waste separation through factor analysis and structural equation modelling and text mining were specified. The panel data collected over three months demonstrated the changes in attitudes, subjective norms, and perceived behavioral control that affect behavioral intention in the process of behavior adaption. Combined with interview data, the reasons for these changes can be further attributed to individuals' environmental knowledge and community guidelines. The findings imply that policies targeting environmental education and rulemaking are effective to help residents form more positive intentions towards waste separation.

Potential ecological risk assessment of heavy metal pollution in sediments of the Yangtze River within the Wanzhou section, China.

A potential ecological risk assessment was conducted based on the analyzing results of the typical pollutants (Pb, Cu, Cr, Cd, and Zn) contents in the sediments of Yangtze River within the Wanzhou section using the index number techniques of single factor and Hakanson method for the quality status of the sediments. The results indicted that cadmium (Cd) had the largest pollution index and was the main pollution factor among the metals. The ecological risk sequence of the metals was Cd > Zn >Pb > Cu >Cr, while the sequence of the potential ecological risk posed by the metals was Cd > Pb > Cu> Zn >Cr. The index range of potential ecological risk was from 101.39 to 184.31, and the average index of potential ecological risk factors (RI) was 152.35. The Yangtze River within the Wanzhou section has a middle potential ecological risk.