Adopting a policy and deciding on long-term investment in the mining industry by a government orprivate sector actors depends strongly on the ability to predict the scarcity of mineral reserves. Changein scarcity of mineral reserves is a function of several technological and non-technological factors.Among them, change in technology is the most significant factor affecting scarcity. This paper ...

The Cobb–Douglas function is today one of the most widely adopted assumptions in economic modeling, yet both its theoretical and empirical bases have long been under question. This paper builds an alternative function on very different (albeit also neoclassical) microfoundations aimed at both addressing those theoretical drawbacks and providing a better empirical fit than the Cobb–Douglas formu...

in this study, yield-water and profit function was used to obtain water demand function in agriculture sector. the results showed that the ratio of actual to potential evapotranspiration had positive, significant effecton the ratio of actual to potential yield for wheat and barley. also, square ratio of actual to potential evapotranspiration had negative, significant relationship. after estimat...

this paper presents a genetic algorithm (ga) for solving a generalized model of single-item resource-constrained aggregate production planning (app) with linear cost functions. app belongs to a class of pro-duction planning problems in which there is a single production variable representing the total production of all products. we linearize a linear mixed-integer model of app subject to hiring...

In this paper we examine whether nonlinearities in the aggregate production function can explain parameter heterogeneity in the Solow (1956) growth regressions. Nonlinearities in the production technology are introduced by replacing the linear Cobb-Douglas specification with the more general CES specification. We justify our choice of production function by showing that in the context of cross-...

Based on uncertainty theory, multiproduct aggregate production planning model is presented, where the market demand, production cost, subcontracting cost, etc., are all characterized as uncertain variables. The objective is to maximize the belief degree of obtaining the profit more than the predetermined profit over the whole planning horizon. When these uncertain variables are linear, the obje...

We study identification of combinatorial valuations from aggregate demand. Each utility function takes as arguments subsets or, alternatively, quantities of the multiple goods. We exploit mathematical insights from auction theory to generically identify the distribution of utility functions. In our setting, aggregate demand for each item is observable while demand for bundles is not. Neverthele...

Timber supply has traditionally been modelled using aggregate data. In this paper, we build aggregate supply models for four roundwood products for the US state of North Carolina from a stand-level harvest choice model applied to detailed forest inventory. The simulated elasticities of pulpwood supply are much lower than reported by previous studies. Cross price elasticities indicate a dominant...