2,284 research outputs found
Climate change, Covid-19, and our existential challenge
No full textProblems of this severity and scope can only be solved through global cooperation, write Muhammad Shahbaz and Muhammad Ali Nasi
Fathered 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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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 textFINANCIAL DEVELOPMENT AND INCOME INEQUALITY IN PAKISTAN: AN APPLICATION OF ARDL APPROACH
Full text linkThe paper examines the relationship between financial development and income inequality; and also explores if the Greenwood and Jovianvich (GJ) hypothesis applies to Pakistan. Using data from 1971 to 2005, the paper implements the Auto Regressive Distributed Lag (ARDL) bounds testing approach to cointegration to examine the existence of long run relation ships; and the error correction model (ECM) for the short run relationships. Stationarity properties of the series are tested by the ADF unit root test. The findings indicate that financial development reduces income inequality while financial instability aggravates it. Contrary to the conventional wisdom, we find economic growth worsens income distribution and that the latter is deteriorated further by trade openness. The paper does not find support for the GJ relation. Appropriate reforms aimed at developing a well-organized financial sector in Pakistan can help reduce income inequality.Financial Development, Income Inequality
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
Supplemental Material, Appendix - Tourism-induced financial development in Malaysia: New evidence from the tourism development index
No full textSupplemental Material, Appendix for Tourism-induced financial development in Malaysia: New evidence from the tourism development index by Muhammad Shahbaz, Ramzi Benkraiem, Anthony Miloudi, and Aviral Kumar Tiwari in Tourism Economics</p
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.
Critical Discourse Analysis of a political speech: A case study of Shahbaz Sharif speech at UN
Full text linkThis paper explores the complex relationship between language and ideology in political discourse, using Critical Discourse Analysis (CDA) to analyze Shahbaz Sharif's speech. The goal of the study is to identify broader societal ramifications by investigating the way political leaders strategically employ language. The ideational and textual meta-functions are examined in this study using Halliday's Systematic Functional Grammar as its analytical basis. The analysis illustrates Shahbaz Sharif's language decisions by thoroughly examining material, mental, relational, and verbal processes. Based on statistical research, Shahbaz Sharif's lexical choices highlight word richness and complexity, providing insights into his communication style. The study also looks at textual and thematic meaning. The research offers a thorough summary of the speaker's issues, including everything from climatic variability and its repercussions to humanitarian disasters, modifications to national security frameworks, peace initiatives, and regional conflicts. The paper advances knowledge of political speech by highlighting the social consequences and power relationships inherent in language use
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