A multivariate cointegrating vector auto regressive model of freight transport demand: evidence from Indian railways

Factor Analysis and Empirical Research on Regional Logistics Demand in Jiangxi Province

“…2001, according to logistics demand data in India in 1960s, Mudit Kulshreshtha derived the relationship among demand of goods by using the time series model and conducted the dynamic econometric sequence modeling. They forecasted the data using VAR model, and the result shown that high flexible GDP and low flexible price, which included real transportation price, would cast a great impact in economic production [4].…”

Transport Intensity and Energy Efficiency: Analysis of Policy Implications of Coupling and Decoupling

“…Their main objective is to determine the time tendencies of their trends, the sense of their causality, the degree of their cointegration and then the coupling problem (Meersman et Van De Voorde, 1999;Kulshreshtha et al, 1999;Stead, 2001;Banister and Stead, 2003;Léonardi et Baumgartner, 2004;Tanczos et Torok, 2007).…”

Modelling energy demand of developing countries: Are the specific features adequately captured?

“…See for example Ghosh (2006), Polemis (2006), Ramanathan (1999), Eltony and Mutairi (1995), and Bentzen (1994), Samimi (1995), Dahl and Kurturbi (1997), and Kulshreshtha et al (2001). These models focus on the technical properties of the time series and try to avoid misspecification of the models.…”