Spillover Capacity Research Articles

The industrial technological spillover effect and differentiation characteristics of industrial chains in the ecological efficiency of the yellow river basin

The Yellow River Basin (YRB) stands as a critical ecological barrier and a significant economic hub, bridging the western and eastern regions of China. To investigate the synergy of ecoefficiency within the industrial chain of the YRB, this paper introduces a novel research approach. By establishing an industrial technology similarity matrix, spatial econometric models can be employed to analyze spillover effects, which provides a new tool for related research and overcomes some drawbacks of previous studies. The study reveals that industrial ecoefficiency exhibits distinct interaction characteristics across different spatial dimensions. Specifically, the interaction effect within the province is notably superior to that observed within the YRB, as well as in the broader region encompassing the adjacent provinces of the YRB. The upstream and downstream provinces demonstrate a robust level of interaction within their local scopes. However, the middle reaches of provinces exhibit a weak link that undermines the spillover capacity of industrial ecoefficiency across the entire YRB. This finding suggests that hierarchical policy measures should be devised according to the characteristics of spillover effects across various spatial dimensions.

Catalytic Refining Lignin‐Derived Monomers: Seesaw Effect between Nanoparticle and Single‐Atom Pt

AbstractPt automatically adsorbed on oxygen vacancy of TiO2 via an in situ interfacial redox reaction, resulting in atomically dispersion of Pt on TiO2. In the upgrading of lignin‐derived 4‐propylguaiacol, single‐atom catalyst (SAC) Pt/TiO2−H achieved a conversion of 96.9 % and a demethoxylation selectivity of 93.3 % under 3 MPa H2 at 250 °C for 3 h, markedly different from the performance of nanoparticle counterpart that gave deep deoxygenation selectivity over 99.0 %. The high demethoxylation activity of SAC Pt/TiO2−H is mainly attributed to its weak hydrogen spillover capacity that suppressed the benzene ring hydrogenation and the deep deoxygenation. Additionally, SAC Pt/TiO2−H reduced the energy barrier of CAr−OCH3 bond cleavage and accordingly lowered the Gibbs free energy of the demethoxylation reaction. This facile method could fabricate single‐atom Au, Pd, Ir, and Ru supported on TiO2−H, demonstrating the generality of this strategy for the establishment of a library of SACs. Moreover, SAC exhibited versatile capacity in demethoxylation of different lignin‐derived monomers and high stability. This study showcases the superiority of atomically dispersed metal catalysts for selective demethoxylation reactions and proposes a renewable alternative to fossil‐based 4‐alkylphenols through upgrading of lignin‐derived monomers.

Catalytic Refining Lignin-Derived Monomers: Seesaw Effect between Nanoparticle and Single-Atom Pt.

Pt automatically adsorbed on oxygen vacancy of TiO2 via an in situ interfacial redox reaction, resulting in atomically dispersion of Pt on TiO2. In the upgrading of lignin-derived 4-propylguaiacol, single-atom catalyst (SAC) Pt/TiO2-H achieved a conversion of 96.9 % and a demethoxylation selectivity of 93.3 % under 3 MPa H2 at 250 °C for 3 h, markedly different from the performance of nanoparticle counterpart that gave deep deoxygenation selectivity over 99.0 %. The high demethoxylation activity of SAC Pt/TiO2-H is mainly attributed to its weak hydrogen spillover capacity that suppressed the benzene ring hydrogenation and the deep deoxygenation. Additionally, SAC Pt/TiO2-H reduced the energy barrier of CAr-OCH3 bond cleavage and accordingly lowered the Gibbs free energy of the demethoxylation reaction. This facile method could fabricate single-atom Au, Pd, Ir, and Ru supported on TiO2-H, demonstrating the generality of this strategy for the establishment of a library of SACs. Moreover, SAC exhibited versatile capacity in demethoxylation of different lignin-derived monomers and high stability. This study showcases the superiority of atomically dispersed metal catalysts for selective demethoxylation reactions and proposes a renewable alternative to fossil-based 4-alkylphenols through upgrading of lignin-derived monomers.

Interregional and intersectoral interaction of digital economy in China

With the continuous advancement of the integration of the world’s digital economy, the economic development of various regions has become increasingly interdependent. However, the interregional interactions of digital industries have yet to be further elucidated. Here, based on the Multi-Regional Input-Output model, we take China, for example, and analyze the impact of digital industries on the economy from the industrial and regional. At the industry level, we discuss the economic spillover relationship between the digital industry and the three traditional industries, and analyzes the spatial and temporal differentiation in the inter-industry spillover status of China’s 30 provinces; at the regional level, we discuss the digital industrial economic spillover links and spillover states. The results show that: 1) The self-generating ability within the digital industry sector is the most significant factor influencing the industrial growth of China’s digital economy, followed by the interrelated effect between industry sectors, while the inter-industry feedback effect has a weak impact on the economic system. 2) There is a clear gap in the economic spillover capacity of the digital industry in 30 provinces, and the overall performance is decreasing in the eastern, central and western regions. 3) The intra-regional multiplier effect of digital industry shows a slowly decreasing trend, and the intra-regional digital economic spillover-feedback effect shows a growing trend. At the same time, the inter-regional digital economy interaction tends to decay in distance, indicating that regional accessibility has a significant impact on the inter-regional spillover effect.

The spatial spillover effect and impact paths of agricultural industry agglomeration on agricultural non-point source pollution: A case study in Yangtze River Delta, China

The rapid development of Chinese agriculture has brought about serious agricultural non-point source pollution (ANPSP), and the reduction of non-point source pollution is of great practical importance to realize the green transformation of agriculture, the ecological livability of the countryside and the well-being of farmers. Agriculture industrial agglomeration is widespread throughout the world, and it is generally accepted that there are positive economic effects. However, there is still a debate on whether positive or negative externalities dominate the environmental effects of agriculture industrial agglomeration. Therefore, it is of theoretical significance to correctly identify the nonlinear relationship and spatial spillover effects between agriculture industrial agglomeration and ANPSP. As a region with the rapid development of agricultural intensification in China, the environmental effect of agricultural agglomeration in the Yangtze River Delta is more complex compared with other industries, and It has strong research value to realize the coordinated development of agricultural industry clustering and green agriculture. Based on panel data of 37 cities in the Yangtze River Delta from 2000 to 2019, this paper uses the inventory analysis method to measure the agricultural non-point source pollution (ANPSP) of each city. Then, for the law of spatial evolution of ANPSP, the Spatial Durbin Model (SDM) was developed to analyze the specific impact of agricultural industrial agglomeration on ANPSP. The results show that: (1) the ANPSP of the Yangtze River Delta had a downward trend during 2000–2019, with high-high agglomeration and low-low agglomeration characteristics. (2) The effect of agricultural industrial agglomeration on ANPSP showed an inverted U-shape, which was consistent with the EKC curve. However, after considering the spatial spillover effect, it shifted to a U-shape. (3) Economic, structural and technological effects are the main driving effects for the mitigation of ANPSP, with concentration effects increasing pollution. Therefore, in the future, the moderate-scale business should be encouraged to develop, optimize and adjust the agricultural industrial structure, stimulate technological progress and innovation, enhance the spatial spillover capacity of technological and structural effects, and improve the capacity of nonpoint source pollution management.

Strong electronic metal-support interactions on supported Pt catalysts for efficient perhydrogenation of polyaromatics to aviation fuels

Selective deep hydrosaturation of polyaromatics has attracted significant attention in reinforcing the utilization of heavy resources and decreasing the emission of harmful particulate matters. Herein, supported Pt catalysts on diverse oxide supports (SiO2, TiO2, CeO2) were prepared using an enhanced strong electrostatic adsorption tactics. Strong electronic metal-support interactions (EMSI) in Pt/TiO2 and Pt/CeO2 leaded to the well-dispersed electron-deficient Ptδ+ substances and intensified hydrogen spillover capacity, where the most Ptδ+ and spillover hydrogen were acquired on Pt/CeO2 ascribed to the maximal EMSI and lower oxygen vacancy formation energy heightened the adsorption of metallic Pt. Moreover, the Ptδ+ species displayed promoted H2 dissociation ability and boosted adsorption energy for aromatic. In phenanthrene hydrogenation, Pt/TiO2 presented better activity and selectivity to deep hydrosaturation products than Pt/SiO2 catalyst, indicating the enhancement of EMSI in hydrogenation. Meanwhile, the catalytic properties were further improved over Pt/CeO2 exhibiting the highest rate of 3.63 × 10−4 mol·kg−1·s−1. It delivered almost 100% conversion and selectivity to deep hydrogenation at 220 °C because of the maximal of Ptδ+ species with superb dispersion and hydrogen spillover. Furthermore, the DFT calculations manifested the enhanced adsorption of aromatic on Ptδ+ species promoting deep hydrogenation.

Dynamic spillover capacity of R&D and digital investments in China's manufacturing industry under long-term technological progress based on the industry chain perspective

During the new era of digital-technology economics, R&D and digital investments have emerged as critical factors influencing technological change in the long term. At the same time, technological progress in industries is the fundamental cause of the R&D and digital investments spillover between industries. In order to study the dynamic spillover capacity evolutionary process generated by R&D and digital investments caused by the long-term technological change in China's manufacturing industry, this paper firstly integrates R&D and digital investments as the critical influencing factors affecting technological progress. It establishes a dynamic input-output model including endogenous technological progress, which is simulated by historical data from 2000 to 2014 to obtain the input-output coefficient matrix from 2015 to 2050. On this basis, this paper makes a rare attempt to focus the inter-industry spillover weights on the industry chain perspective to revisit and simulate the dynamic changes of inter-industry R&D and digital investments spillover capacity under the influence of long-term technological progress. As shown in the simulation results, there are significant differences in inter-industry R&D and digital investments spillover capacities among 18 manufacturing industries in China in both industry and time dimensions. The results of this study are presented in the following sections: (1) A horizontal comparison of the spillover capacity of R&D and digital investments in manufacturing industries in the same period from the industry dimension shows that the spillover capacity of R&D and digital investments between industries is dynamic because the development strategies and technological structures of industries may change over time. Hence, the position of each industry in the industry chain is not constant, and the R&D and digital investments spillover capacity between industries are also in a dynamic process. The manner and ability of an industry to generate R&D and digital investments spillover to its upstream and downstream industries may differ depending on its production location in the chain. Generally, for most upstream and near-upstream industries in China's manufacturing industry chain, the spillover capacity of R&D and digital investments of an industry to its downstream industries are greater than that to its upstream industries, and vice versa. Therefore, in order to maximize the technology spillover capacity, the corresponding technology guidance policy should be adjusted by the industry's technological progress characteristics and changes in the production location of the industry chain. (2) When comparing the spillover capacity of R&D and digital investments of each manufacturing industry longitudinally from the time dimension, the demand-pull effect of technological progress caused by R&D and digital investments of industries for their downstream industries is not as profound as the technology-push effect for their upstream industries. Hence, the fluctuations of R&D and digital investments spillover capacity generated by industries located in the upstream, near-upstream of China's manufacturing industry chain are greater than those generated by downstream, near-downstream industries. Therefore, it can be inspected that industries close to the upstream of the industry chain are more efficient in driving economic growth with their inputs in general-purpose technologies.

Is green technology vertical spillovers more significant in mitigating carbon intensity? Evidence from Chinese industries

Green technology is a crucial way to achieve energy conservation, emission reduction and economic growth. Most of the previous literature has studied the influence of green technology on carbon emission from the regional perspective. This paper discusses the direct role in terms of industry of seven green technologies under the International Patent Classification (IPC) Green Inventory classification standard on the reduction of carbon intensity and the indirect impact of technology vertical spillovers generated by transmission via the intermediate input products channel on carbon intensity. Based on empirical research that was conducted by adopting an improved regression on the population, affluence and technology (STIRPAT) model using the panel data of 17 categories of industries in China from 2000 to 2015, the indirect effect was more significant than the direct result, as every green technology innovation level and technology spillover capacity was increased by 1%, the carbon intensity reduced by 0.1303% and 0.1558%, respectively. Energy conservation technology played a direct role in the reduction of carbon intensity and achieved the best results, and its impact was 1.76 times that of waste management technology, which had the weakest effect. Transportation emission reduction technology played an indirect role in the reduction of carbon emission intensity and achieved the best results; its impact was 2.13 times the average value of all types of technology spillover effects. Finally, the paper analyzes seven types of green technology spillover capacities and the heterogeneity in the reduction of carbon intensity efficiency and provides some relevant policy suggestions.

The effect of metal properties on the reaction routes of glycerol hydrogenolysis over platinum and ruthenium catalysts

The CC bond and CO bond cleavages in glycerol hydrogenolysis were compared over Pt and Ru supported on ZrO2 and WO3/ZrO2 (ZrW). The prepared catalysts were characterized by nitrogen adsorption/desorption, X-ray powder diffraction, transmission electron microscopy, CO and H2 chemisorption, O2 titration, H2-temperature programmed reduction, diffuse reflectance infrared Fourier transform spectra of adsorbed CO and Fourier transform infrared spectra of pyridine adsorption. The electron density of metal on ZrO2 was different from that on ZrW, resulting in the different ability on CC bond cleavage in glycerol hydrogenolysis. Pt/ZrW exhibited a better hydrogen activation and spillover capacity than Ru/ZrW, leading to a higher selectivity of 1,3-propanediol. The effect of H2 pressure was also studied and reaction routes of glycerol hydrogenolysis to propanediols were discussed.