Spatial emission reduction effects of China’s carbon emissions trading:quasi-natural experiments and policy spillovers

Insufficient assessment of emission reduction effects still exists in the carbon emission rights trading system,a major environmental regulation measure in China.Based on the data from the carbon trading pilot covering the years from 2007 to 2017,this study combined the synthetic control method with dynamic spatial Durbin model to comprehensively evaluate the spatial emission reduction effects of carbon trading policies.The results showed that:①The carbon trading policies promoted carbon emission reductions in the pilot regions,among which Tianjin and Hubei responded significantly,and also helped to suppress carbon emissions in the neighboring areas.②Long-term emission reduction effect from carbon emissions trading became gradually significant,while the indirect emission reduction effect was relatively weaker.③In term of reducing carbon emissions,the economic development channel played a key role,but it had a threat to the promotion of carbon emissions in the surrounding areas.Energy consumption was the main obstacle to the growth of carbon emissions.④In the long run,technological progress tended to become the key to the effective implementation of potential emission reduction effects of carbon trading policies.Based on the above findings,we suggest that the construction of a national carbon trading market should be promoted,the balanced development and orderly advancement of regional carbon trading markets should be paid attention to,the coordinated development of green economy as well as knowledge and technology exchange and cooperation among regions should be strengthened to form a low carbon development model among regions.

Impact of the COVID‑19 outbreak on the US equity sectors:Evidence from quantile return spillovers

The aim of this study is to examine the extreme return spillovers among the US stock market sectors in the light of the COVID-19 outbreak.To this end,we extend the now-traditional Diebold-Yilmaz spillover index to the quantiles domain by building networks of generalized forecast error variance decomposition of a quantile vector autoregressive model specifically for extreme returns.Notably,we control for common movements by using the overall stock market index as a common factor for all sectors and uncover the effect of the COVID-19 outbreak on the dynamics of the network.The results show that the network structure and spillovers differ considerably with respect to the market state.During stable times,the network shows a nice sectoral clustering structure which,however,changes dramatically for both adverse and beneficial market conditions constituting a highly connected network structure.The pandemic period itself shows an interesting restructuring of the network as the dominant clusters become more tightly connected while the rest of the network remains well separated.The sectoral topology thus has not collapsed into a unified market during the pandemic.

An empirical study of China's regional R&D knowledge spillovers based on GWR

The present paper employs technique of geographical weighted regression （GWR） to make an empirical study of China＇s R＆D knowledge spillovers at city level. Conventional regression analysis can only produce ＂average＂ and ＂global＂ parameter estimates rather than ＂local＂ parameter estimates which vary over space in some spatial systems. Geographically weighted regression （GWR）, on the other hand, is a simple but useful new technique for the analysis of spatial non-stationarity. Results show that there is a significant difference between OLS and GWR in estimating the parameters of R＆D knowledge production, and that the relationships between level of regional innovation activities and various factors show considerable spatial variability.

Global Value Chain Embeddedness,Knowledge Spillovers,and Clustered Firms' Innovation Performance

Empirical evidence of the effects of global value chain( GVC) embeddedness on clustered firms' innovation is presented in this paper. The intermediary roles of the two types of knowledge spillover( explicit and implicit) in GVC embeddedness and clustered firms' innovation are considered, and the effects of structure embeddedness,relationship embeddedness,and acknowledgement embeddedness on clustered firms' innovation are examined. Analysis is based on the sample of 134 export-oriented firms from the Shaoxing industrial cluster in Zhejiang province of China. Results show that although GVC embeddedness is associated with high use of external knowledge sources,clustered firms' innovation is promoted indirectly through explicit knowledge spillover. Intrinsic connections exist among the different dimensions of GVC embeddedness,that is,structure embeddedness not only directly improves relationship embeddedness but also indirectly improves acknowledgement embeddedness through relationship embeddedness.

The Effect of Spillovers on R&D Level

This paper emphasizes the effect of spillovers on R&D (Research and Development) level. When competing firms have spillovers to each other in R&D, cooperation will always increase firms' profits. Only if the positive spillover is large enough, the cooperative R&D level will be larger than the non\|cooperative R&D level. The cooperative level will be smaller than the non\|cooperative level if the positive spillover is small enough. However, the cooperative level is always smaller than the non\|cooperative level while there're negative spillovers to each other. R&D levels are the function of the spillover and will change with the spillover. The changing regularity is related to the sign of spillover and to whether they're cooperative or not. Spillovers made by the competing firms are usually different. When spillovers are small enough, the larger the spillover obtained from the other, the smaller the firm will invest in R&D; inversely, when the spillover is large enough, the larger spillovers obtains from the other, the larger the firm will invest in R&D.

Research on interaction of innovation spillovers in the AI,Fin‑Tech,and IoT industries:considering structural changes accelerated by COVID‑19

This paper aims to probe the influence of innovation spillovers in the artificial intelligence(AI)and financial technology(Fin-tech)industries on the value of the internet of things(IoT)companies.Python was utilized to download public information from Yahoo Finance,and then the GARCH model was used to extract the fluctuations of cross-industry innovation spillovers.Next,the Fama–French three-factor model was used to explore the interactive changes between variables.The panel data regression analysis indicates that the more firms accept innovation spillovers from other industries,the better the excess return;however,this effect differs because of industrial attributes and the environmental changes induced by COVID-19.Additionally,this study finds that investing in large-cap growth stocks of IoT firms is more likely to yield excess returns.Finally,the study yields lessons for policy leverage to accelerate the upgrading and transformation of innovation-interactive industries by referring to the practices of Singapore and South Korea.

Spillovers among China’s precious and industrial metals markets:Evidence from higher moments and jumps

This study reveals the time-varying spillover effects of higher moments(realized volatility,realized skewness and realized kurtosis)and jumps between China’s precious metals and industrial metals markets.Using 5-min high-frequency data from May 10,2012 to October 21,2021,the dynamic effects of spillovers are uncovered using the time-frequency domain spillover index framework.The results show that the system connectedness weakens as the moment order gets higher whereas the total jumps connectedness is the smallest,and the spillovers of all estimators are more evident in the short term.The overall information spillovers are time-varying and influenced by major market events.Specifically,for realized volatility,copper is the largest net transmitter and silver is always a net transmitter,while zinc is the largest net receiver.For realized skewness,copper is the largest net transmitter and silver is always a net transmitter,while lead is the largest net receiver.For realized kurtosis and jumps,copper is the largest net transmitter,while aluminum is the largest net receiver.Overall,copper and silver play dominant roles in China’s precious and industrial metals markets system.

Extreme dependencies and spillovers between gold and stock markets:evidence from MENA countries

This study addresses whether gold exhibits the function of a hedge or safe haven as often referred to in academia.It contributes to the existing literature by(i)revisiting this question for the principal stock markets in the Middle East and North Africa(MENA)region and(ii)using the copula-quantile-on-quantile and conditional value at risk methods to detail the risks facing market participants provided with accurate information about various gold and stock market scenarios(i.e.,bear,normal,bull).The results provide strong evidence of quantile dependence between gold and stock returns.Positive correlations are found between MENA gold and stock markets when both are bullish.Conversely,when stock returns are bearish,gold markets show negative correlations with MENA stock markets.The risk spillover from gold to stock markets intensified during the global financial and European crises.Given the risk spillover between gold and stock markets,investors in MENA markets should be careful when considering gold as a safe haven because its effectiveness as a hedge is not the same in all MENA stock markets.Investors and portfolio managers should rebalance their portfolio compositions under various gold and stock market conditions.Overall,such precise insights about the heterogeneous linkages and spillovers between gold and MENA stock returns provide potential input for developing effective hedging strategies and optimal portfolio allocations.

The social welfare effect of forest certification under environmental spillovers

Forest certification has positive environmental spillovers.Considering environmental spillovers,this study ana‐lyzed the social welfare effects of forest certification using partial and general equilibrium methods.The re‐sults of the partial equilibrium analysis showed that social welfare in producing countries tended to increase under the market expansion of certified forest products.The general equilibrium analysis results indicated that,in autarky,or economic independence,the production amount of certified forest products could increase.If conventional forest products are imported and certified forest products are exported,then the level of utility in free trade condition is greater than that in autarky.If conventional forest products are exported and certi‐fied forest products are imported,then the price of imported products must be compared with the price of the autarky domestic market to determine the utility level of free trade and autarky.If the price of certified prod‐ucts is less than the price at the time of autarky,then the total utility level increases;otherwise,it decreases.The social welfare effect of forest certification can be increased through expanding the market demand of cer‐tified products and giving these products subsidies in production and price incentives in importing.

Effect of China’s technology spillovers on energy intensity in Africa

Empirical studies on the effects of China-African economic relations on energy intensity in Africa are scarce.To fill the gap in the literature,this study investigates the technology spillover effects of the China-Africa trade and investment relations on energy intensity.It uses both linear and nonlinear dynamic panel estimation methods for 42 African countries from 2003 to 2015.The results show that China's technology spillover through imports significantly reduces energy intensity in Africa.The findings are consistent across specifications and sample groups.Moreover,the technology spillover coming from foreign direct investment(FDI)improves energy intensity,particularly in lower-middle-income African countries.The dynamic threshold estimation results show that countries'absorptive ability is important for technology spillover effects of FDI and imports on energy intensity.The results suggest that countries'absorptive capacity should be increased to maximize the benefits of trade and investment technology spillovers.

Non-Symmetry of China’s and US Monetary Policy Spillovers:Theoretical Modelling and Empirical Analysis

This study develops a structural vector autoregression(SVAR)framework to empirically examine the reciprocal transmission channels of monetary policies between China and the United States.The primary objective is to discern potential disparities in the spillover effects of monetary policies and ascertain any contrasting mechanisms underlying these effects across the two countries.Based on our research,it appears that there exists a certain level of non-symmetry in the spillover effects of monetary policy between the two countries.Moreover,this paper provides adequate analysis of disparities in the trade framework,capital control,and financial market operations of both countries in constructing a dynamic stochastic general equilibrium(DSGE)model that incorporates financial frictions for the examination of the theoretical rationale.The empirical findings indicate that China’s monetary policy creates a spillover effect primarily through trade.In China,following an increase in its interest rates,the domestic economic activity will experience a contraction,leading to a decline in both investment and output.Consequently,this will result in a decrease in China’s imports of investment goods from the United States,impacting the output of the US economy.In contrast,the US monetary policy exerts a spillover effect primarily through finance.An increase in interest rates by the United States is associated with a notable outflow of capital from China.This leads to a rise in the financing costs for Chinese firms,consequently diminishing their overall net worth.In light of the financial accelerator effect,corporate external financing risk premium will continue to increase,exacerbating the downward trajectory of China’s output.

Spillovers of US unconventional monetary policy:quantitative easing,spreads,and international financial markets

This study investigates the international spillover effects of US unconventional monetary policy(UMP)-frequently called large-scale asset purchases or quantitative easing(QE)—on advanced and emerging market economies,using structural vector autoregressive models with high-frequency daily data.Blinder(Federal Reserve Bank of St.Louis Rev 92(6):465–479,2010)argued that the QE measures primarily aim to reduce US interest rate spreads,such as term and risk premiums.Considering this argument and recent empirical evidence,we use two spreads as indicators of US UMP:the mortgage and term spreads.Based on data from 20 emerging and 20 advanced countries,our empirical findings reveal that US unconventional monetary policies significantly affect financial conditions in emerging and advanced countries by altering the risktaking behavior of investors.This result suggests that the risk-taking channel plays an important role in transmitting the effects of these policies to the rest of the world.The extent of these effects depends on the type of QE measures.QE measures such as purchases of private sector securities that lower the US mortgage spread exert stronger and more significant spillover effects on international financial markets than those that reduce the US term spread.Furthermore,the estimated financial spillovers vary substantially across countries and between and within the emerging and advanced countries that we examine in this study.

Hydrogen Spillover Effect in Electrocatalysis:Delving into the Mysteries of the Atomic Migration

Hydrogen spillover effect has recently garnered a lot of attention in the field of electrocatalytic hydrogen evolution reactions.A new avenue for understanding the dynamic behavior of atomic migration in which hydrogen atoms moving on a catalyst surface was opened up by the setup of the word"hydrogen spillover."However,there is currently a dearth of thorough knowledge regarding the hydrogen spillover effect.Currently,the advancement of sophisticated characterization procedures offers progressively useful information to enhance our grasp of the hydrogen spillover effect.The understanding of material fabrication for hydrogen spillover effect has erupted.Considering these factors,we made an effort to review most of the articles published on the hydrogen spillover effect and carefully analyzed the aspect of material fabrication.All of our attention has been directed toward the molecular pathway that leads to improve hydrogen evolution reactions performance.In addition,we have attempted to elucidate the spillover paths through the utilization of DFT calculations.Furthermore,we provide some preliminary research suggestions and highlight the opportunities and obstacles that are still to be confronted in this study area.

Internal Polarization Field Induced Hydroxyl Spillover Effect for Industrial Water Splitting Electrolyzers

The formation of multiple oxygen intermediates supporting efficient oxygen evolution reaction(OER)are affinitive with hydroxyl adsorption.However,ability of the catalyst to capture hydroxyl and maintain the continuous supply at active sits remains a tremendous challenge.Herein,an affordable Ni2P/FeP2 heterostructure is presented to form the internal polarization field(IPF),arising hydroxyl spillover(HOSo)during OER.Facilitated by IPF,the oriented HOSo from FeP2 to Ni2P can activate the Ni site with a new hydroxyl transmission channel and build the optimized reaction path of oxygen intermediates for lower adsorption energy,boosting the OER activity(242 mV vs.RHE at 100 mA cm-2)for least 100 h.More interestingly,for the anion exchange membrane water electrolyzer(AEMWE)with low concentration electrolyte,the advantage of HOSo effect is significantly amplified,delivering 1 A cm^(-2)at a low cell voltage of 1.88 V with excellent stability for over 50 h.

Impact of digital economy development on carbon productivity:An empirical analysis based on threshold effect and spatial spillover effect

Utilizing provincial panel data from 2014 to 2020,this study employs a fixed effect model,a threshold effect model,and a spatial lag model to empirically examine the correlation between digital economic development and carbon productivity.The findings indicate that digital economic development significantly contributes to the enhancement of carbon productivity in the long term.Furthermore,through instrumental variable method,replacement of explanatory variables and other methods to test its endogeneity and stability,the results remain robust.In terms of regional heterogeneity,the impact of digital economic development on carbon productivity is less pronounced in the central and western regions compared to the eastern region.Additionally,further investigation reveals that industrial structure upgrading and science and technology investment level exhibit different threshold effects on the influence of digital economy development level on carbon productivity.Moreover,there is a significant spatial spillover effect of digital economy development on carbon productivity with H-H and L-L agglomeration spatial correlation.

Research on the Impact of China’s Foreign Trade Technology Spillover on Green Total Factor Productivity of Countries Along the“Belt and Road”:Based on the Institutional Quality Threshold Effect

China’s growing trade with countries along the“Belt and Road”Initiative is accompanied by a focus on green development.Based on the panel data from 2007 to 2018,this paper establishes a threshold regression model to empirically analyze the institutional quality threshold effect of China’s foreign trade technology spillover on the GTFP of countries along the“Belt and Road.”The results show that China’s foreign trade technology spillover has a significant institutional quality double threshold effect on the green total factor productivity of the countries along the“Belt and Road.”As the institutional quality of the countries along the“Belt and Road”crosses a specific threshold value,the impact of China’s foreign trade technology spillover on the green total factor productivity of the countries along the“Belt and Road”has a significant positive promoting effect,and corresponding suggestions are put forward.

Spatial spillover effects of transport infrastructure on regional economic growth

Spatial spillover effects,either positive or negative,of transport infrastructure,highways/expressways,etc.,on regional economic growth are proposed.Using the panel data for 11 cities of Zhejiang province from 1994 to 2003,a spatial production function is applied to examine the spatial spillovers which can be generated as a positive output spillover from the transport infrastructure between neighboring cities.Some spatial weighted matrices are adopted to define different neighboring cities to measure how easily factors or economic activities can migrate between regions.The estimation results show that the output elasticity of the highway infrastructure in 11 cities are all insignificant at a 5% significance level;hence,highway infrastructure in a region cannot explain the same region's economic growth.On the other hand,the highway infrastructure of other contiguous regions has positive spillover effects on a same region's economic growth.

Magic of hydrogen spillover: Understanding and application

The hydrogen spillover effect(HSPE)plays an important role in heterogeneous catalysis and hydrogen storage as an interfacial phenomenon,which facilitates the improvement of hydrogen storage properties of porous nanomaterials and indirectly or directly affects the reaction performance of multiphase catalytic reactions.The setting-up of the word“hydrogen spillover”opened up a new area to gain insight into the dynamic behavior of migrating hydrogen atoms on a catalyst surface.However,a comprehensive understanding of the HSPE is still lacking.Today,the development of advanced characterization techniques provides increasingly valuable information to further our understanding of the HSPE.Based on these considerations,in this review,we hope to provide some answers to the question“What is hydrogen spillover and how do we recognize it?”.To do this,we will rely on advanced characterization techniques as well as experimental and theoretical studies.Then,we discuss in detail the influences of the HSPE on hydrogen storage performance and the important catalytic effects of the HSPE in catalysis.These effects will be reviewed by looking through the catalytic results obtained in many reactions in thermal catalysis,electrocatalysis,and photocatalysis.Furthermore,based on the application potential of hydrogen spillover,we present some preliminary research proposals and discuss the opportunities and challenges that remain to be faced in this research area.

Method of spillover identification in urban street networks using loop detector outputs

Quick and reliable identification of the traffic state is of critical importance to traffic control systems, especially when spillovers appear. Firstly, a calculation method for the occupancy per cycle under different traffic conditions were presented, based on the relationship between the three basic traffic flow parameters, speed, traffic flow and density. Secondly, the times at which the stopping and starting waves approach a loop detector were confirmed using the traffic wave models modified by a kinematic equation. Then, the threshold of occupancy, which characterizes the appearance of spillovers, was determined by the premise that the stopping and starting waves had the same speed. At last, the accuracy and usability of the new method were verified by VISSIM simulation, using the ratio of misjudgment as the evaluation index. The results show that the ratio of misjudgment of the new method is about 11.36% compared to 17.65% of the previous method.

Spillover on a Platinum Electrode Modified by MWNTs

The spillover phenomenon is observed on the platinum (Pt) disk electrode modified bymulti-wall carbon nanotubes (MWNTs). The rate of the spillover of oxygen-containing speciesproduced on Pt surface to and from MWNTs is fast. However for hydrogen-adatoms, thespillover is very weak. The selective spillover on the Pt/MWNTs electrode may provide a novelway to design catalysts.