6,449 research outputs found
Do urbanization, income, and trade affect electricity consumption across Chinese provinces?
No full textThe aim of this paper is to investigate the short- and long-run links among urbanization, output (Gross Domestic Product, GDP), trade openness, and electricity consumption in China, using a rich dataset at the provincial level. Short-run Granger causality analysis discloses a unidirectional causal relationship running from electricity to output and weak feedback effects between trade and urbanization. Long-run Granger causality analysis shows output, urbanization, and trade trigger electricity consumption whereas trade, urbanization, and electricity cause output. Group Mean and Lambda-Pearson causality tests reveal a large heterogeneity in the long-run effects which suggests there is no “one-size fits all” policy and each region should formulate a differentiated urbanization/growth strategy based on its own characteristics to control electricity utilization
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
Asymmetric and frequency-domain spillover effects among industrial metals, precious metals, and energy futures markets
No full textWe analyze asymmetric return spillovers in time and frequency domains across industrial and precious metals and energy futures markets using daily data for 18/05/2011–23/09/2020. Using the frameworks of Diebold and Yilmaz (2012) and Baruník and Krehlík (2018), we find that positive and negative spillover returns are symmetrical across analyzed markets, while being more pronounced during periods of economic turmoil or geopolitical unrest. Notable contributors of positive net spillovers are natural gas, diesel, zinc, and lead, while the most prominent negative net spillover receiver is gold. Findings will be of interest to investors, and portfolio managers
How do foreign and domestic institutional investors drive the market value? The influence of family ownership
No full textPurpose: this paper investigates and compares the value impacts of foreign and domestic institutional investors on the market value of family and non-family companies. Subsequently, examines how foreign and domestic institutional investors and their value impacts get influenced by different degrees of family ownership. Design/methodology/approach: the sample of this study includes 339 non-financial firms from NIFTY-500 for 11 years from 2011 to 2020, which contains 128 family and 211 non-family companies. Both static (Fixed-effect model) and dynamic (two-step system GMM) models are employed to test the hypotheses.Findings: Findings suggest that foreign institutional investors outshine domestic institutions in terms of value creation. Meanwhile, higher (>50%) family holdings are detrimental to the foreign institutional investors, while moderate holdings (26%-49%) improve domestic institutional investments. The favorable effect of foreign players gets diluted with the higher (>50%) family holdings, while the adverse effect of domestic players improves with the moderate (26%-49%) family holdings. Overall, partial family control is beneficial, while low and absolute family control is detrimental to market value. These findings clearly indicate that institutional investors are family control-dependent, where family control effect is not static.Originality/value: this paper offers a novel perspective by addressing the effect of costs and benefits realized at three distinctive level of family holdings on foreign and domestic institutional investors, and their value impacts to witness differences caused by varying family control, which is not done earlier as per the best of our knowledge.<br/
A quantile-time-frequency connectedness investigation through the dirty and clean cryptocurrencies spillover
No full textWe analyze how the return connectedness between cryptocurrencies and environmental market indexes evolves in the last decade. The current study is the first to examine whether clean and dirty cryptocurrencies are linked to the U.S. environmental stock market indexes across time-frequency-quantile space. Using a time-frequency quantile connectedness approach, the main results are as follows: (i) the dynamic total connectedness indices are found to be heterogenous over the time-frequency space. (ii) Ethereum appears to be both short- and long-run net transmitters of shocks, while both U.S. environmental market indexes seem rather be both short- and long-run net receivers of shocks. Regarding Bitcoin, Cardano, and Ripple series, the net transmission/reception of short-term/long-term shocks is found to be time-varying. (iii) The majority of relationships among markets are time-varying in both short- and long-run net transmission positions. (iv) Over time-frequency quantile space, both short- and long-term dynamic total connectedness are found to be asymmetric, while the overall dynamic total connectedness seems to be symmetric. (v) The sensitivity of investors to clean and dirty cryptocurrencies-, and environmental market indexes-related shock spillovers tend to change over the quantile-time-frequency space. (vi) Important implications for investors and policymakers are also provided
Regime Dependent Causality Relationship Between Energy Consumption and Gdp Growth: Evidence From Oecd Countries
No full textEmirmahmutoglu, Furkan/0000-0001-7358-3567; Tiwari, Aviral Kumar/0000-0002-1822-9263This study empirically investigates the energy consumption-GDP growth nexus for the period from 1971 to 2016 for 26 OECD countries. The prevailing studies in the literature use limited econometric methodologies, which may wrongly model the underlying relationship and lead to misleading policy conclusions. Our study utilizes the newest econometric methods to reveal the nonlinear relationships in the long-run. Furthermore, to capture the asymmetric behaviour of regime changes, four residual-based nonlinear cointegration tests are implemented. Finally, a two-regime TAR type of panel threshold VECM model (PTVAR) is estimated for testing the presence of nonlinear short- and long-run causality. Our findings indicate a state-dependent causality between energy consumption and GDP growth
A structural VAR analysis of renewable energy consumption, real GDP and CO2 emissions: Evidence from India
No full textThis study has attempted to analyze the dynamics of renewable energy consumption, economic growth, and CO2 emissions. For the analysis, we used structural VAR approach. Results of unit root tests show that all variables are non-stationary at their level form and stationary in first difference form and cointegration analysis, analyzed through Johansen-Juselius (1990), shows that there is no evidence of cointegration among the test variables. The innovations analysis of study reveals that a positive shock on the consumption of renewable energy source increases GDP and decreases CO2 emissions and a positive shock on GDP have a very high positive impact on the CO2 emissions. The variance decomposition shows the share of consumption of renewable energy source explained a significant part of the forecast error variance of GDP and a relatively smaller or negligible part of the forecast error variance of CO2 emissions.Renewable energy consumption, economic growth, CO2 emissions, SVAR
Bibliographics for the 983 eprints in the live archives of E-LIS : trends and status report up to 7th July 2004, based on author-self-archiving metadata
No full textThe priority for ideas and philosophy related to "Network Theory" have been traced back and documented by Braun(2004),and credit goes to Karinthy(1929).The IT has empowered to realise it, as the most practical phenomena and it is no more a humour. The OAI (Open Archives Initiatives)and ACIS (Academic Contributor Information System)are progressive in the direction ,which may lead to realise the "Collective Genius" at global level. Focus of present study is on Author-Self-Archiving (A-S-A)Metadata of the 983 Eprints in the Live Archives of the E-LIS (EPrints of Library and Information Science),which were approved till 7th July 2004.The A-S-A Metadata was used for librametric analysis. Self-explanatory bibliographics are illustrated.The highlights include: Conference papers (34%); highest approval, June 2004 (28%); published archives (76%);not refereed (52%); not in public domain (60%); highest self-archiving-author (De Robbio, Antonella).The Nos. of EPrints having single JITA domain specifications were: Theoretical and general aspects of libraries and information(27); Information use and sociology of information(80);Users,literacy and reading(13);Libraries as physical collections(30);Publishing and legal issues(57);Management(13);Industry, profession and education(36);Information sources, supports, channels(113) ; Information treatment for information services, Information functions and techniques (101); Technical services libraries, archives and museums(25); Housing technologies(1); Information technology and library technology(92); and Inter-domainery (395) i.e. having specifications of two or more than two JITA classes
Comparative performance of renewable and nonrenewable energy source on economic growth and CO2 emissions of Europe and Eurasian countries: A PVAR approach
No full textIn the study, we analyzed the relative performance of RES and NRES on economic growth in European and Eurasian countries in a panel framework. The dynamics of these variables are also analyzed in relation to CO2 emissions. We used PVAR approach for analysis for the period 1965 to 2009 and find that growth rate of NRES has negative impact on the growth rate of GDP and also increase CO2 emissions. The imapct of RES, in general, is found to be positive on the growth rate of GDP. Hence, we recommend the reduction of the consumption of NRES in order to attain higher economic growth, increase economic efficiency and employment with clean and sustainable environment in Europe and Eurasian countries.Renewable and nonrenewable energy sources, Economic growth, CO2 emissions, PVAR
A Unified Shell model for Buoyancy-Driven Turbulence
No full textWe construct a unified shell model for stably stratified and convective turbulence. Shell model simulation of stably stratified flow in turbulent regime exhibit Bolgiano-Obukhbov (BO) scaling in which the kinetic energy spectrum varies as . However, simulation of convective turbulence shows Kolmogorov's spectrum. These results are consistent with the direct numerical simulations of Kumar {\em et al.} [Phys. Rev. E {\bf 90}, 023016 (2014)]. We also observe a dual scaling ( and ) for a limited range of parameters in stably stratified flow
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