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This paper considers the classical newsvendor model when demand is normally distributed but with a large coefficient of variation. This leads to observe with a non-negligible probability negative values that do not make sense. To avoid the occurrence of such negative values, first, we derive...
Persistent link: https://www.econbiz.de/10009147873
The paper investigates China’s environmental performance-economic development relationship for the time period of 1965-2009. The results indicate that after 1990 China increased its environmental performance mainly driven by the implementation of several environmental policies. In addition...
Persistent link: https://www.econbiz.de/10009353829
Using time series data, this paper investigates China’s carbon emissions during 1960-2006, with particular focus on the direct role of growth and in connection to trade and the value added by various sectors like agriculture, industry and services. Our empirical results indicate the presence...
Persistent link: https://www.econbiz.de/10009246885
By applying conditional and unconditional data envelopment analysis (DEA) models along side with statistical inference using bootstrap techniques; this paper investigates the link between China’s carbon dioxide emissions (CO2) environmental efficiency and its economic growth (measured in GNI...
Persistent link: https://www.econbiz.de/10009246900
This paper considers the classical newsvendor model when, (a) demand is autocorrelated, (b) the parameters of the marginal distribution of demand are unknown, and (c) historical data for demand are available for a sample of successive periods. An estimator for the optimal order quantity is...
Persistent link: https://www.econbiz.de/10011107826
In the current paper we study a real life inventory problem whose operating conditions match to the principles of the classical newsvendor model. Applying appropriate tests to the available sample of historical demand data, we get the sufficient statistical evidences to support that daily demand...
Persistent link: https://www.econbiz.de/10011114034