This paper uses an autoregressive distributed lag model (ARDL) to examine the dynamic impact of non-fossil energy consumption on carbon dioxide (CO2) emissions in China for a given level of economic growth, trade openness, and energy usage between 1965 and 2014. The results suggest that the variables are in a long-run equilibrium. ARDL estimation indicates that consumption of non-fossil energy ...

The problem of computing category agnostic bounding box proposals is utilized as a core component in many computer vision tasks and thus has lately attracted a lot of attention. In this work we propose a new approach to tackle this problem that is based on an active strategy for generating box proposals that starts from a set of seed boxes, which are uniformly distributed on the image, and then...

The objective of this paper is to reinvestigate the relationship between natural gas consumption and economic growth by including foreign direct investment, capital and trade openness in Malaysia for the period of 1971-2012. The structural break unit root test is employed to investigate the stationary properties of the series. We have applied combined cointegration test to examine the relations...

Bu araştırmada Türkiye'de 1964-2018 yılları arası turizm gelirleri ve ekonomik büyüme arasındaki ilişki incelenmiştir. Ekonomik ile bağlantıyı irdeleyen sayıca birçok araştırma olmasına rağmen, literatürde bu ilişkiyi dönemsel olarak inceleyen çalışmaların sınırlı olduğu görülmektedir. bağlamda, ilişkisinin verilen tarih aralığında Türkiye’de değişip değişmediğinin belirlenmesi amaçlanmaktadır....

This study investigates the impact of energy consumption and financial development on economic growth using neo-classical production function in the case of US. The ARDL (Autoregressive distributed lag) bounds testing approach with additional variables (energy consumption and financial development) is used to investigate cointegration during the period of 1967-2012 in US. The ARDL reveals a coi...

1.2 Detection task For each of the four classes predict the bounding boxes of each object of that class in a test image (if any). Each bounding box should be output with an associated real-valued confidence of the detection so that a precision/recall curve can be drawn. To be considered a correct detection, the area of overlap ao between the predicted bounding box Bp and ground truth bounding b...

In this paper we consider the problem of making inference on a structural parameter in instrumental variables regression when the instruments are only weakly correlated with the endogenous explanatory variables. Adopting a local-to-zero assumption as in Staiger and Stock (1994) on the coe cients of the instruments in the rst stage equation, the asymptotic distributions of various test statistic...

This paper investigates the relationship between electricity consumption and economic growth by using Autoregressive Distributed Lag (ARDL) bounds testing approach and vector error-correction models (VECM) in Cameroon, Cote D'Ivoire, Congo, Ethiopia, Gabon, Ghana, Guatemala, Kenya, Senegal, Togo and Zambia for period 1970-2010. The ARDL results show that there is cointegration relation between ...