Results 251 to 260 of about 88,646 (292)

The Impact of Democratization and Globalization on Environmental Sustainability in Brazil

Geological Journal, EarlyView.
Fossil fuel, economic globalisation, and economic growth drive environmental degradation while democratisation positively influences environmental quality. ABSTRACT Although Brazil still possesses significant ecological reserves, the surplus in its biocapacity has been rapidly declining in recent years.
Mustafa Naimoğlu, Mehmet Metin Dam, Serdar Ongan, Andrew Adewale Alola   +3 more
wiley   +1 more source

Advancing Environmental Sustainability Through Wind Energy, Green Technology, and Fintech: A Quantile Perspective From Germany's Low‐Carbon Transition

Geological Journal, EarlyView.
The current study examines the role of Fintech, wind energy, and green technology in determining environmental suitability in Germany from 2000 to 2024. The study employs time series econometric methods to estimate the QQR and QR techniques. The positive effects of wind production, FinTech, Natural Resources and green technology on environmental ...
Hind Alofaysan, Kamel Si Mohammed
wiley   +1 more source

Native grass breeding: Priority needs and strategic approaches

Grassland Research, EarlyView.
The key needs and breeding strategies of native grass. Abstract Native grasses possess extensive ecological adaptability, such as cold, drought, and salt tolerance, and tolerance to poor soil conditions. They play a crucial role in ensuring food security and ecological security.
Xueming Dong, Wenxian Liu, Zhipeng Liu
wiley   +1 more source

New nonparametric measures for instantaneous and granger-causality tail co-dependence. [PDF]

J Appl Stat
Diks C, Wolski M.
europepmc   +1 more source

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Granger Causality

2011
As one of the most successful approaches to uncover complex network structures from experimental data, Granger causality has been widely applied to various reverse engineering problems. This chapter first reviews some current developments of Granger causality and then presents the graphical user interface (GUI) to facilitate the application.
Tian Ge, Jianfeng Feng
  +4 more sources

Conditional Granger causality and partitioned Granger causality: differences and similarities

Biological Cybernetics, 2015
Neural information modeling and analysis often requires a measurement of the mutual influence among many signals. A common technique is the conditional Granger causality (cGC) which measures the influence of one time series on another time series in the presence of a third. Geweke has translated this condition into the frequency domain and has explored
Malekpour, Sheida, Sethares, William A.
openaire   +2 more sources

Granger causality and stopping times*

Lithuanian Mathematical Journal, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Petrović, Ljiljana, Dimitrijević, Slađana, Valjarević, Dragana   +2 more
openaire   +2 more sources

Granger–Sims Causality

2008
Granger-Sims causality is based on the fundamental axiom that ‘the past and present may cause the future, but the future cannot cause the past’ (Granger, 1980, p. 330). A variable x then is said to cause a variable y if at time t the variable x t helps to predict the variable yt+1 .
openaire   +2 more sources

Testing for Granger's Full Causality

The Review of Economics and Statistics, 1992
A procedure is proposed to test for the existence of a fully causal relationship between two variables. The method involves contrasting the probabilistic forecasting performance of a univariate and bivariate specification for the same variable Y. If there exists some theory or belief that X causes Y, and the addition of a variable X to the information ...
Covey, Ted, Bessler, David A
openaire   +1 more source