Environmental regulation, technology density, and green technology innovation efficiency.

From the perspective of the innovation value chain, this study divides the innovation efficiency of green technology into two stages: R&D efficiency and achievement transformation efficiency. Technology density is introduced as a threshold variable to examine the influence of environmental regulation on the efficiency of green technology innovation at both stages. The findings reveal that China's overall green technology innovation efficiency (GTIE) is improving. R&D efficiency initially declined, then increased, while the efficiency of achievement transformation experienced a three-stage pattern: rise-fall-rise. The GTIE distribution across the two stages progressively increases from the northwest to the southeast, resulting in a concentrated, contiguous "line-shaped" and "block-shaped" pattern. High-efficiency areas are primarily found in the eastern coastal regions. Nationally, Environmental regulation and R&D efficiency share an inverted U-shaped relationship, with a double threshold effect of technology density. Environmental regulation does not significantly affect achievement transformation efficiency, but there is a single threshold effect due to technology density.

How can digital finance boost enterprises' high-quality development?: evidence from China.

As a new industry derived from the traditional financial system and enhanced by emerging technologies, digital finance is significant in microenterprise development. Based on the 2011-2018 Digital Inclusive Finance Index of Peking University, we examine the mechanism-inventory optimization and incremental innovation. We use the data of small and medium-sized enterprises to reveal the effect of digital finance-mismatch correction and defect improvement. The study results show that digital financing significantly improves enterprises' high-quality development. Further research has revealed that digital finance can effectively correct scale, attribute, phase, and industry mismatches. Digital finance alleviates financing constraints, solves the expensive financing problem, and pushes enterprises to deleverage in the economic development process. However, digital finance is still limited for companies with high financing constraints and leverage. Moreover, financial regulation can significantly improve the economic performance of digital finance. The findings provide reliable empirical evidence and policy inspiration for promoting digital finance development, deepening the supply-side structural reform of finance, better serving the real economy, and achieving high-quality economic development.

The effect of the digital economy on carbon emissions: an empirical study in China.

Under the new development model, the digital economy has become a new engine to promote the green development of the economy and achieve the goal of "double carbon." Based on panel data from 30 Chinese provinces and cities from 2011 to 2021, the impact of the digital economy on carbon emissions was empirically studied by constructing a panel model and a mediation model. The results show that firstly, the effect of the digital economy on carbon emissions is a non-linear inverted "U" shaped relationship, and this conclusion still holds after a series of robustness tests; secondly, the results of the benchmark regression show that economic agglomeration is an essential mechanism through which the digital economy affects carbon emissions and that the digital economy can indirectly suppress carbon emissions through economic agglomeration. Finally, the results of the heterogeneity analysis show that the impact of the digital economy on carbon emissions varies according to the level of regional development, and its effect on carbon emissions is mainly in the eastern region, while its impact on the central and western regions is weaker, indicating that the impact effect is primarily in developed regions. Therefore, the government should accelerate the construction of new digital infrastructure and implement the development strategy of the digital economy according to local conditions to promote a more significant carbon emission reduction effect of the digital economy.

Study of the spatial divergence features and motivating factors of energy green consumption levels in "2+26" cities.

The level of energy green consumption is an essential factor influencing China's economy's high-quality development. In this paper, we select relevant panel data from 2010 to 2019 for 28 cities in Beijing-Tianjin-Hebei and surrounding areas, and use the DPSIR model and spatial econometric model to analyze the spatial divergence characteristics and driving factors of the energy green consumption index based on the construction of the energy green consumption level evaluation index system and index measurement. The results of this research are as follows: (1) The energy green consumption index has a distribution pattern of "high in the east and low in the west, high in the north, and low in the south," and the driving force (D) and response force (I) are the key factors influencing the spatial variation of the energy green consumption index. (2) The measurement results show that GDP per capita and built-up green coverage have a considerable positive effect on the energy green consumption index, whereas non-domestic energy structure has a significant inhibitory effect. (3) In terms of spatial spillover effects, greening coverage of built-up areas, industrial structure, and domestic energy structure, all have positive effects on neighboring regions' energy green consumption indexes, with positive spatial spillover effects, whereas GDP per capita, urbanization level, and non-domestic energy structure, all have negative spatial spillover effects. In light of the issues at hand, this paper suggests making good efforts to create and put into practice laws and policy norms, cultivate green energy-saving markets, vigorously promote the use and promotion of energy-saving technologies, and lower energy consumption in secondary industry and domestic consumption. The study's findings can help advance the modernization of the region's industrial structure and the growth of a green economy by providing the local government with a reference point for timely policy adjustments.

Measurement and Region Identification in Deep Displacement of Slopes Based on Rod-Fiber Coupling Structure.

For measuring and region-identifying the deep displacement of slopes, a rod-fiber coupling structure based on optical time-domain reflection technology was designed. Accuracy of measurement and region identification in the deep displacement of slopes were studied by calibration experiment and model experiment. A rod-fiber coupling structure was able to calculate the variation and accurately identify the region of deep displacement of a slope compared with the measured downslide displacement of the slope model. The maximum measurement error of the deep displacement of the slope was 10.1%, the identification error of the displacement region was less than 4.4%, and the accuracy of the displacement-region identification of the rod-fiber coupling structure was 3.1 cm. Thus, the rod-fiber coupling structure based on optical time-domain reflection technology can be used for measuring and for region identification in the deep displacement of the slopes, and can provide a new method for the identification of the sliding surfaces of slopes.

Structural Health Monitoring of Underground Structures in Reclamation Area Using Fiber Bragg Grating Sensors.

The long-term structural performance of underground structures in reclamation areas is very sensitive to the vibrations caused by vehicles passing above the structures and environmental factors (e.g., tide levels, rainfall and temperature). In the present study, an integrated remote real-time structural health monitoring system using fiber Bragg grating sensors was developed to assess the structural performance of underground structures. Using a composite road box-type structure project in a reclamation area in Southern China as a case study, the developed real-time system was implemented to investigate the effects of changes in tide levels, rainfall, temperature and vehicle induced vibrations on crack propagation in the structure. The results show that the change in tide levels has little influence on the change in crack width in the structure, whereas variations in temperature could significantly influence the crack width with an average Pearson correlation of around 0.8. In addition, the crack width generally decreases with an increase in rainfall. Furthermore, a relatively low frequency (<25 Hz) induced by the traffic could result in a relatively larger crack width.