Modelling the Relationship Between Public Expenditure, Tax Revenue and Economic Growth in Türkiye Using the AARDL Approach

This study aims to investigate the macroeconomic impact of fiscal policy in Türkiye, where fiscal policy faces several challenges. Using annual time series data from 1980 to 2021, we examine the impact of tax and public expenditure subcomponents on GDP using the augmented autoregressive distributed lag (A-ARDL) bound test approach proposed by Sam et al. (2019). The A-ARDL test results indicate that tax revenue has a positive impact on economic growth in the short run, while tax revenue has a negative impact on economic growth in the long run. Furthermore, we conclude that increases in current and investment expenditures have a positive impact on economic growth in the short and long run, while increases in transfer expenditures have a negative impact on economic growth in the short run

Examining the roles of labour standards, economic complexity, and globalization in the biocapacity deficiency of the ASEAN countries

With Singapore currently the world’s most natural capital (biocapacity) deficit alongside four other Association of Southeast Asian Nations (ASEAN) countries having varying degree of ecological deficit, i.e. Indonesia, Malaysia, the Philippines, and Thailand, it then offers a clear justification for a more scrutiny of the ASEAN states’ ecological footprint dynamics. To provide more insight on the drivers of ecological footprint in the overall panel and for each of the above-mentioned countries, the roles of economic complexity, average working hours, labour productivity, labour income share, and globalization were examined by employing the Dynamic Ordinary Least Squares Mean Group (DOLSMG) alongside the recently developed (non)time-variant Granger causality approaches. For the overall panel, the DOLSMGapproach established that labour productivity, labour income share, and globalization reduce the biocapacity deficit by improving ecological quality while economic complexity worsen the region’s environmental quality. Additionally, in the overall panel, there is Granger causality evidence from the average working hour, labour income share, labour productivity, globalization, and economic complexity to ecological footprint. Moreover, the results of the two Granger causality approaches are unanimous in evidence. For instance, average working hours per year is a significant causal of ecological footprint in all the sampled countries at varying periods. Specifically, there are Granger causalities: from labour productivity to ecological footprint in Malaysia, the Philippines, Singapore and Thailand; from globalization to ecological footprint in Malaysia, the Philippines, Singapore, and Thailand; from economic complexity to ecological footprint in Indonesia, Malaysia, the Philippines, Singapore, and Thailand, all at varying times.publishedVersio

Capital stock, energy, and innovation-related aspects as drivers of environmental quality in high-tech investing economies

By looking at the technological advancement and climate change mitigation plan of the advanced economies, the current study examines the role of sustainable development aspects such as innovations, high technology export, labor productivity, capital stock, research and development (R&D), information and communication technology (ICT), capital stock, and energy use in mitigating environmental degradation for the selected panel of countries with the most investment in technology (China, Denmark, Finland, France, Israel, Korea, Hong Kong, Germany, Japan, Netherlands, Singapore, Sweden, United Kingdom, and United States) over the period 2000–2018. Foremost, the pooled ordinary least square (POLS) and random-effects (RE) generalized least squares (GLS) approaches provided additional interesting inferences. As such, the POLS result revealed that only capital stock in the panel countries shows a desirable environmental effect. At the same time, labor productivity, innovation, R&D, ICT, and energy further hamper ecological quality in the examined panel countries. Similarly, the GLS result largely affirms the POLS results, with only the capital stock among the explanatory variables showing evidence of emission mitigation effect in the panel. Additionally, the panel Granger causality result illustrates evidence of unidirectional causality only innovation, ICT, and capital stock to environmental degradation.publishedVersio

Augmenting conversations through context-aware multimedia retrieval based on speech recognition

Future’s environments will be sensitive and responsive to the presence of people to support them carrying out their everyday life activities, tasks and rituals, in an easy and natural way. Such interactive spaces will use the information and communication technologies to bring the computation into the physical world, in order to enhance ordinary activities of their users. This paper describes a speech-based spoken multimedia retrieval system that can be used to present relevant video-podcast (vodcast) footage, in response to spontaneous speech and conversations during daily life activities. The proposed system allows users to search the spoken content of multimedia files rather than their associated meta-information and let them navigate to the right portion where queried words are spoken by facilitating within-medium searches of multimedia content through a bag-of-words approach. Finally, we have studied the proposed system on different scenarios by using vodcasts in English from various categories, as the targeted multimedia, and discussed how it would enhance people’s everyday life activities by different scenarios including education, entertainment, marketing, news and workplace

Material productivity and material intensity as drivers of environmental sustainability in G-7 economies

To further understanding the perspective of sustainable consumption and production, which is one of the key elements of the Sustainable Development Goals (SDGs), this study examines the environmental effects of material domestic productivity, material footprint and material intensity in the world’s most advanced economies – the Group of Seven (G7) countries by using the dataset that spans over the time 1970 to 2019. The environmental Kuznets curve hypothesis was used as a theoretical framework. By applying the mean group dynamic least squares (DOLSMG) estimation approach and using carbon and greenhouse gas emissions as environmental indicators, the outcome validates the environmental Kuznets curve hypothesis but only in the United States and Germany. Material productivity, footprint and intensity exert a significantly negative impact on the environmental indicators, thus demonstrating the existence of a feasible sustainable consumption and production approach among the countries. By contrast, especially for the country-specific results, material productivity and intensity aggravated environmental degradation by increasing carbon and greenhouse gas emissions in France, Italy, and Japan. A robustness check using the Dumitrescu-Hurlin Granger causality approach aligns with the above-mentioned results. The findings suggest policy recommendations for a more effective approach to reducing material intensification across economic sectors in advanced economies.publishedVersio

Measurement of the Standard Model Processes for Supersymmetry Search in Low Momentum Single-Electron Events in the Vector Boson Fusion Topology at the LHC

The yield of events with two jets, a single low-momentum electron, and large missing transverse momentum in the vector boson fusion (VBF) topology is measured in proton-proton collisions at center-of-mass energy of 13 TeV. The data corresponds to a total integrated luminosity of 35.86 fb⁻¹ collected in 2016 by the CMS detector at CERN’s Large Hadron Collider. The event selection requirements with electron’s transverse momentum of 10 GeV to 40 GeV are optimized for the production of charginos (χ⁻±₁) and next-to-lightest neutralinos (χ⁻⁰₂) in supersymmetry (SUSY) compressed mass-spectra scenarios where the mass difference (∆M) between χ⁻±₁ and lightest neutralino (χ⁻⁰₁) is small. The masses of sleptons (Ī) are assumed to be between χ⁻±₁ and χ⁻⁰₁. The measurements in the VBF topology in various control regions are performed for the first time at hadron collider experiments, and the observed events are consistent with expectations by the Standard Model (SM) processes. The results are used to predict the SM event yields in the signal region in a blind analysis, and to set limits on the SUSY production in the VBF topology. Expected lower limits at 95% CL on the χ⁻±₁ /χ⁻⁰₂ mass are reported for various ∆M values in a scenario, where the branching fraction of Ī → l + χ⁻⁰₁ is 1/3 for each lepton flavour. The expected limits will be compared with observed limits in the next phase of the blind analysis