Does Industrial Transfer Change the Spatial Structure of CO2 Emissions?—Evidence from Beijing-Tianjin-Hebei Region in China

As an important cause of global warming, CO2 emissions have become a research hotspot in recent years. Industrial transfer impacts regional CO2 emissions and is related to the low-carbon development of regional industries. Taking the Beijing-Tianjin-Hebei region (BTH region) as an example, this study analysed industrial transfer’s direct and indirect impacts on CO2 emissions based on a mediating model and two-way fixed effect panel regression. The results obtained indicate that industrial transfer-in has promoted CO2 emissions to a small extent, and the positive impact of industrial transfer-in on CO2 emissions wanes over time. Industrial transfer affects CO2 emissions by acting on the economic level, on population size, and on urbanisation level, but the indirect effect is weaker than the direct effect. Industrial transfer does not lead to technological upgrading, but the latter is an effective means of carbon emission reduction. Industrial transfer-in has shown a positive effect on CO2 emissions for most cities, but there are exceptions, such as Cangzhou. In the future, the BTH region should maintain coordinated development among cities and improve the cooperative innovation mechanism for energy conservation and emission reduction.

Research on China interregional industrial transformation slowdown and influencing factors of industrial transformation based on numerical simulation

This paper, based on the numerical simulation research, has come out with findings, such as the sluggish interregional industrial transformation in China and the factors responsible for that, the need to define the new economic geography from the angle of geographic view, the need to have a theoretical model based on implementing development centre periphery, the use of element resources endowment system reference analysis, and the need for implementation of the numerical simulation of the model, and finally the need to clear the factors that influence the sluggish industrial transfer. The final results show that the factor resource endowment, transportation cost, and labour price are still impediments affecting industrial transfer. Since the development level of the manufacturing industry in eastern China has not reached the critical point of industrial transfer, it is necessary to to find out a pragmatic solution to achieve development.

Feasibility of Using H3PO4/H2O2 in the Synthesis of Antimicrobial TiO2 Nanoporous Surfaces

Ti6Al4V alloys are the primary materials used for clinical bone regeneration and restoration; however, they are substantially susceptible to biomaterial-related infections. Therefore, in the present work, we applied a controllable and stable oxidative nanopatterning strategy by applying H3PO4, a weaker dissociating acid, as a substitute for H2SO4 in the classical piranha reaction. The results suggest that our method acted as a concomitant platform to develop reproducible diameter-controlled TiO2 nanopores (NPs). Interestingly, our procedure illustrated stable temperature reactions without exothermic responses since the addition of mixture preparation to the nanopatterning reactions. The reactions were carried out for 30 min (NP14), 1 h (NP7), and 2 h (NP36), suggesting the formation of a thin nanopore layer as observed by Raman spectroscopy. Moreover, the antimicrobial activity revealed that NP7 could disrupt active microbial colonization for 2 h and 6 h. The phenotype configuration strikingly showed that NP7 does not alter the cell morphology, thus proposing a disruptive adhesion pathway instead of cellular lysis. Furthermore, preliminary assays suggested an early promoted osteoblasts viability in comparison to the control material. Our work opens a new path for the rationale design of nanobiomaterials with “intelligent surfaces” capable of decreasing microbial adhesion, increasing osteoblast viability, and being scalable for industrial transfer.

Fluorescent Biosensors Based on Silicon Nanowires

Nanostructures are arising as novel biosensing platforms promising to surpass current performance in terms of sensitivity, selectivity, and affordability of standard approaches. However, for several nanosensors, the material and synthesis used make the industrial transfer of such technologies complex. Silicon nanowires (NWs) are compatible with Si-based flat architecture fabrication and arise as a hopeful solution to couple their interesting physical properties and surface-to-volume ratio to an easy commercial transfer. Among all the transduction methods, fluorescent probes and sensors emerge as some of the most used approaches thanks to their easy data interpretation, measure affordability, and real-time in situ analysis. In fluorescent sensors, Si NWs are employed as substrate and coupled with several fluorophores, NWs can be used as quenchers in stem-loop configuration, and have recently been used for direct fluorescent sensing. In this review, an overview on fluorescent sensors based on Si NWs is presented, analyzing the literature of the field and highlighting the advantages and drawbacks for each strategy.

Environmental Pollution Effects of Regional Industrial Transfer Illustrated with Jiangsu, China

Industrial transfer is reshaping the geographic layout of industries and facilitating the transfer and spread of environmental pollution. This study employs the pollution transfer estimation method to discuss the environmental effect of industrial transfer. By compiling statistics on industries of a certain scale according to time-series data, the researchers compute the pollution load generated by industrial transfer and the difference in pollution emissions for each region and industry. Through the constructed evaluation model, the empirical scope is Jiangsu, which is the most developed industry in China. The results reveal that there is an apparent spatial hierarchy among the transferred industries in Jiangsu. Most industries transfer from the southern Jiangsu region toward the central Jiangsu and northern Jiangsu regions. Environmental pollution is redistributed among prefecture-level cities because of intercity industrial transfer; the spatial characteristics of pollution exhibit a notable hierarchical pattern. Furthermore, the transferred pollution load differs considerably between industries. The textile industry and chemical raw material and chemical product industry are mainly transferred toward the Central Jiangsu and Northern Jiangsu regions, whereas the papermaking and paper product manufacturing industry is primarily redistributed to the Southern Jiangsu region. The empirical results can serve as a reference for analyzing the environmental pollution effects of regional industrial transfer.

Agglomeration and total factor productivity of China’s textile industry

Agglomeration is an important characteristic in China’s textile industry development. But regional textile industry isseriously unbalanced, only eastern location entropy (LQ) is greater than 1 and is the highest of all, followed by thecentral, western and north-eastern regions. Total factor productivity (TFP) is an important indicator to measure theeconomic growth efficiency. The average annual growth rate (AAGR) of eastern textile industry TFP is the least andcentral TFP growth rate is the fastest. In order to investigate the relationship between agglomeration and TFP of China’stextile industry, especially at region level, this paper applies panel model to study how agglomeration influences TFPduring 2005–2018. The results show that increasing agglomeration degree restrains the TFP growth of China’s textileindustry. The coefficients of LQ on textile industry in China and four regions are all negative. There exists crowded effectin eastern textile industry. It has not formed the significant agglomeration effect in western and north-eastern textileindustry for very low agglomeration degree. So it implies that eastern textile industry can accelerate the implementationof industrial transfer and structural adjustment to lower agglomeration and maintain sustained profitability of textileenterprises. Western textile industry can strengthen agglomeration by undertaking industrial transfer from eastern regionto form agglomeration effect to promote TFP growth.