A toolkit for macrostructural regional forecasting: Methodological approaches and results of computations

This paper discusses the issues of developing a consistent system of forecast computations providing a long-term outlook for the Russian economy in both sectoral and regional contexts. Under special focus is the formation of regional development scenarios. Such scenarios are suggested to be based on the territorial pattern of investments into the national economy. Results of computations are presented for the period up to 2030 for two scenarios.     

家乐福:为全球零售商上课

家乐福集团在中国开设的大型超市就像零售业中的一个"海峡"--从东方和从西方卷来的大浪交织在一起:东方--在超市一边的货架上,可以看到大量鲜活的鱼、虾、牛蛙甚至甲鱼;西方--在另一边不远的冷藏柜里,又能看到真空包装的烟熏咸肉和意大利腊肠.这个来自法国的超级零售商运用现代的模式,结合当地人的口味,在中国经营着他们的零售帝国.     

The investment policy of the railroad sector under reform

The feasibility of the railroad sector reaching its long-term development goals and developmental factors and limitations are analyzed against the background of structural changes in the sector. Investment policy, investment attraction mechanisms under limited financial resources, the principles of development of regional investment policies, and regional investment programs and projects are discussed. The sector’s internal development reserves during its investment policy are analyzed.     

Russian Nanotechnology Market: High-Technology Industry or Statistical Phenomenon

This article presents a medium-term forecast of the development of the Russian nanoindustry, taking into account the assumed transition of the industry from the formation stage to the investment growth stage. Problems associated with the estimated output volumes of products in the Russian nanoindustry are considered, since the trends recorded in the primary statistical data are very far from reflecting the real situation due to the imperfection of the system of statistics of nano-containing products, as well as a reduction of state funding and a decline in the intensity of research in the industry. It is concluded that a full-fledged industry has not been yet completely formed in Russia and it actually exists only as a statistical phenomenon; in addition, the project really set different objectives from the declared creation of a breakthrough high-technology branch.     

Analysis of the Efficacy of Public Spending on Research and Development in State Programs

This paper presents an approach to assessing the efficacy of public spending on research and development in state programs. At present, there is a need to develop a unified approach to the analysis and evaluation of the efficacy of such spending from the perspective of participants in state programs (federal executive bodies). The proposed approach does not allow evaluating the efficacy of public spending on the development of research areas assigned to the authors.     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.