1,721,641 research outputs found
On the relationship between oil market and European stock returns
Full text linkThis paper investigates the dynamic relationship between the oil market and European stock market returns using monthly data from May 2007 to April 2022 for 27 European Union member countries. A novel approach is adopted by using the time-varying Granger causality test and the structural vector auto-regression model to examine the causal links. Empirical results reveal strong evidence of time-varying causation between the variables, considering the oil market from both the supply-side and demand-side perspectives. In light of these findings, numerous policy considerations emerge, including refining risk management strategies for investors, reformulating economic and energy policies, the potential impact on monetary policy decisions, the need for ad hoc market regulations, facilitating investor education initiatives, promoting international cooperation, and advancing the transition to sustainable energy sources
Decrease of soil organic matter stabilization with increasing inputs: Mechanisms and controls
No full textThe Slow Path Needs an Accelerator Too!
No full textPacket-processing data planes have been continuously enhanced in performance over the last few years to the point that, nowadays, they are increasingly implemented in hardware (i.e., in SmartNICs and programmable switches). However, little attention is given to the slow path residing between the data plane and the control plane, as it is not typically considered performance-critical.
In this paper, we show that the slow path is set to become a new key bottleneck in Software-Defined Networks (SDNs). This is due to the growth in physical network bandwidth (200 Gbps is becoming common in data centers) and topological complexity (e.g., virtual switches now span hundreds of physical machines). We present our vision of a new Domain Specific Accelerator (DSA) for the slow path at the end host that sits between the hardware-offloaded data plane and the logically-centralized control plane. We discuss open problems in this domain and call on the networking community to creatively address this emerging issue
Interactive priming effect of labile carbon and crop residues on SOM depends on residue decomposition stage: Three-source partitioning to evaluate mechanisms
No full textFathered Alone Raised Together: A Discourse on the Role of Human Capital and Human Capital Resource Leading to Innovative Work Behaviour of Employees
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Modelling the Relationship between Whole Sale Price and Consumer Price Indices: Cointegration and Causality Analysis for India
Full text linkIn this study we attempted to analyze the static and dynamic causality between producers’ prices measured by WPI and consumers’ prices measured by CPI in the context of India. We did our analysis in the framework of time series and for analysis, we applied ARDL bounds testing approach to cointegration and robustness of ARDL approach is examined through Johansen and Juselius (1990) maximum likelihood approach over the period of 1950-2009. We found the evidence of bidirectional causality between WPI and CPI in both cases i.e., in the short-run and long-run. Furthermore, outside sample forecast analysis reveals that in India, WPI leads CPI. This implies that WPI is determined by market forces and also a leading indicator of consumers’ prices and inflation. This gives an indication to the Indian policy analysts to control for factors affecting WPI in order to have control on CPI since CPI is used for indexation purposes for many wage and salary earners including government employees and hence it will be helpful in cutting down the excess government expenditure.CPI and WPI, Granger causality, cointegration VDs, IRFs.
Can Biomass Energy Curtail Environmental Pollution? A Quantum Model Approach to Germany
No full textThis paper aims to investigate the causal relationship among renewable energy technologies, biomass energy consumption, per capita GDP, and CO2 emissions for Germany. We constructed an innovative algorithm, the Quantum model, and applied it with Machine Learning experiments – through a software capable of emulating a quantum system – to data over the period of 1990–2018. This process is possible after eliminating the “irreversibility” of classical computations (unitary transformations) by making the process “reversible”. The empirical findings support the powerful role of biomass energy in reducing carbon dioxide emissions, although the effect of renewable energy technology displays a much stronger magnitude. Moreover, income remains an important determinant of environmental pollution in Germany
Climate risk and corporate environmental performance: Empirical evidence from China
No full textThis study creatively investigates the impact of extreme national climate risk on corporate environmental performance in the context of China. An innovative approach based on an assessment of the economic input-output life cycle is utilized to evaluate carbon footprint at the corporate level. We select the Chinese climate risk score calculated by Germanwatch to represent climate risk, and then test its effects on corporate carbon performance using the dynamic threshold model. The results indicate that an increase in national climate risk will promote corporate carbon emissions, which are more pronounced when the climate risk score is in the high-risk range. Furthermore, the effects of climate risk on corporate carbon performance differ across companies with different geographical locations and environmental restrictions. In addition, ownership and whether a company is listed on stock exchanges do not significantly affect the impact of climate risk on corporate carbon performance in China. Our findings reflect the subtle connections between Chinese companies and climate risk on the whole, and could help relevant business leaders, policymakers, and investors enhance related policies
Priming effects induced by glucose and decaying plant residues on SOM decomposition: A three-source 13C/14C partitioning study
No full textDecomposition of soil organic matter (SOM) may either increase or decrease after fresh organic inputs, the phenomena which are termed as "priming effect". Crop residues and labile C additions can prime SOM decomposition, but it is not known how labile C inputs affect SOM in the presence of decaying plant residues varying in quality (e.g. from previous crops, a common situation in arable soils). We used a dual 13C/14C isotopic labelling to partition soil CO2 efflux and microbial biomass for three C sources: labile C (glucose), partly decomposed wheat residues (leaves and roots) and SOM. 14C-labelled glucose was added to the soil after 30 days of pre-incubation with 13C-labelled residues (separately leaves or roots). After glucose addition, the leaf residue decomposition rate declined by up to 65%, while roots remained unaffected. Despite the differences between residue decomposition rates, the quantity of primed SOM remained similar between leaf and root residue treatments after the addition of glucose. Glucose alone caused cumulative positive SOM priming of 193 μg C g−1 soil over 90 days, corresponding to 60% of SOM decomposition without addition. Addition of glucose to soil together with partly decomposed plant residues induced up to 45% higher SOM priming than single residues priming effect (∼250 μg C g−1). Remarkably, this priming effect induced by glucose and residues was only due to intensive SOM decomposition during the first 18 days. On the subsequent period (after 18 days of glucose), decline in SOM priming and increase in residue decomposition indicate a shift in microbial activity i.e. from active-to slow-growing microbes. Glucose addition strongly increased the proportion of microbial biomass from SOM but decreased the proportion from residue C, suggesting a preferential use of SOM over plant residues following glucose exhaustion. These results are consistent with the view that labile C inputs induce SOM priming and suggest for the first time, that labile C controls the intensity and decomposition rate of both SOM and decaying plant residues. Concluding, irrespective of the quality of partly decomposed residues, input of labile C (e.g. through rhizodeposition) has overall an additive effect in increasing decomposition of SOM. Such studies of interactions between pools and identification of three C sources were only possible by the application of an innovative dual 13C/14C labelling approach
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