Based on the data of green credit (GC), environmental regulation (ER) and green technology innovation (GTI) in 30 provinces and cities of China from 2007 to 2016, this study investigated the relationship between green credit and green technology innovation development and analyzed the adjustment effect of ER on GC to promote GTI using Geoda and Matlab2016 software, so as to further guide and encourage GC. The results show that GTI in 30 provinces and municipalities in China has a significant spatial agglomeration effect. Single GC plays a certain role in promoting local technology innovation, but it fails to influences the surrounding areas. Environmental regulation has a certain regulatory effect on the relationship between green credit and green technology innovation in the province but also fails to influences the surrounding areas.

To better understand the relationship of the urban, economic, and energy systems in Jiangsu, the most well-developed province in China, the nexus of urbanization, energy consumption, and economic growth is explored. Autoregressive distributed lag (ARDL) bounds testing is applied to examine the cointegration relationship of the variables. After confirming the long-run equilibrium among the variables, the short-run and long-run coefficients are estimated by ARDL error-correction model (ARDL-ECM). We find that Jiangsu is an energy-dependent economy at the present time while urbanization has become a growth engine for her economic development. Suggestions for reducing energy usage while keeping the economy growing at a proper speed during urbanization are also presented.

This paper investigates the transmission of pressure between the public, relevant government departments, and industrial firms through the use of formal environmental regulations. The data include formal environmental regulations issued from 2005 to 2019 in 179 cities in 27 provinces in China. The intermediary effect model and the threshold effect model are used to carry out research studies on the relationships between public-participated environmental regulations, formal environmental regulations, and industrial-technological innovations. Results indicate that: (1) Pressure is transmitted between the public, and relevant government sectors and industries. For instance, public-participated environmental regulations pressure relevant government departments to apply strong formal environmental regulations on industrial sectors. (2) Labor and capital have a positive moderating effect on the effect of formal environmental regulations on industrial-technological innovations. (3) Both public-participated and formal environmental regulations promote industrial-technological innovations. (4) There is a threshold effect in formal environmental regulations. For instance, when the intensity of public-participated environmental regulations is higher than 93, the role of formal environmental regulations in promoting industrial-technological innovation can be completely maximized.

The 50 g co-carbonization test of blend coals with two high-volatile bituminous coals and two low-volatile bituminous coals and added waste plastics(PE, PP, PS and PET) under 1.33 kPa was investigated at a plastic addition ratio of 2%~10%. Co-carbonization was performed from 200 °C, at a heating ratio of 3 K/min, to 900 °C. In the study of coke strength, coke reactivity index and porosity, we appended the anthracite of different addition ratios of 0%, 5%, and 10%. The result shows that 1) In the case of anthracite addition ratio of 5%, the effect of PE and PP on blend coals is similar and the coke strength reaches the maximum at the plastic addition ratio of 6% and then decreases; 2) PS and PET deteriorate the coke strength, observably at the addition ratio of 5%; and 3) both the coke reactivity and porosity increase with the increase of addition ratio of waste plastics. This study shows that mirco strength of coke with 5% anthracite addition can effectively distinguish the effect of different addition ratio and types of waste plastics on coke property

The rapid development of web technology has brought new problems and challenges to the recommendation system: on the one hand, the traditional collaborative filtering recommendation algorithm has been difficult to meet the personalized recommendation needs of users; on the other hand, the massive data brought by web technology provides more useful information for recommendation algorithms. How to extract features from this information, alleviate sparsity and dynamic timeliness, and effectively improve recommendation quality is a hot issue in the research of recommendation system algorithms. In view of the lack of an effective multisource information fusion mechanism in the existing research, an improved 5G multimedia precision marketing based on an improved multisensor node collaborative filtering recommendation algorithm is proposed. By expanding the input vector field, the features of users’ social relations and comment information are extracted and fused, and the problem of collaborative modelling of these two kinds of important auxiliary information is solved. The objective function is improved, the social regularization term and the internal regularization term in the vector domain are analysed and added from the perspective of practical significance and vector structure, which alleviates the overfitting problem. Experiments on a large number of real datasets show that the proposed method has higher recommendation quality than the classical and mainstream baseline algorithm.

This article studied pyrolysis characteristics and kinetics of upgraded Yi’an gas coal by low temperature pyrolysis in N₂ atmosphere. The quality of coal before and after modification was examined by thermogravimetric analysis. The pyrolysis of the coal becomes violent in the middle temperature range and is calculated to be a third-order reaction. After upgrading, total weight losses and coal caking properties of different temperatures increase and 250°C is the best upgrading temperature.