INDUSTRIAL DISPERSION IN THE SOVIET UNION: AN APPLICATION OF ENTROPY MEASURES

Industrial dispersion across the republics of the USSR between 1926 and 1974 is described through the use of entropy measures. Ostensibly, a set of location principles would guide such dispersion, and several of them stress regional equalization as an important consideration in locating industry. Therefore, trends in regional inequality (in industrialization) are investigated through the use of inequality statistics derived from entropy measures at three different spatial scales. Between 1926 and 1960, inequality among the republics decreased, but has increased between 1960 and 1974. However, inequality has decreased between the economic regions of the USSR between 1940 and 1975, and at the oblast level, there has been a tendency toward greater equality (homogeneity) within each economic region or republic since 1960. In attempting to account for these diverse trends, it is suggested that they are largely the result of the priority of efficiency considerations in location decisions rather than those of regional equity per se.     

DIAGNOSTICS FOR REGRESSION MODELING IN SPATIAL ECONOMETRICS*

ABSTRACT. This paper describes statistics for model criticism in spatial econometrics. The purpose of these statistics is to evaluate how well a chosen model fits the data and to identify influential cases and how they affect the aggregate picture. The paper reviews results in Martin (1992) for the regression model with correlated errors where the coefficients of the variance matrix are assumed either known or fixed. The problems of applying the statistics in spatial econometric modeling are discussed. An application is reported which considers diagnostics for the mean function and highlights cases that might influence estimates of the parameter of the error model. Different ways of assessing the influence of cases are also described.     

THE FULL-DISTRIBUTION APPROACH TO AGGREGATE REPRESENTATION IN THE INPUT-OUTPUT MODELING FRAMEWORK*

ABSTRACT. This paper presents a probabilistic specification of coefficients in the input- output modeling framework. Although previous works on probabilistic input-output models attribute uncertainty to measurement and sampling errors, this specification derives from systematic variation directly attributable to industrial, institutional, and location factors. Experiments with national input-output data support the existence of such variation. Employing the specification not only yields a more flexible aggregate modeling framework capable of producing interval impact estimates, but also an alternative perspective on such issues as interregional differentiation and structural comparison, the identification of key industrial sectors, aggregation, and spatial variation in production.     

SPATIAL PATTERNS OF HIGHER EDUCATION IN THE SOVIET UNION

Analysis of spatial patterns of attained educational levels is helpful in understanding the cultural geography of an area, perhaps especially in the Soviet Union, with its many ethnic groups and stated aim of providing equality of education regardless of ethnicity or sex. The proportion of the population that had completed a higher education was mapped at oblast level from 1970 census data. High rates are found in certain urban areas, Estonia and Latvia, Georgia, and certain sparsely populated areas of the Far North, Siberia, and the Far East. There are regional patterns of disparity between male and female rates of completed higher education and between rural and urban rates, despite Soviet attempts to reduce these inequalities. The distribution of Soviet higher educational institutions conforms generally to the distribution of population, although access to higher education opportunities appears to be geographically limited in some regions. (Maps by Joann L. Krupa, George Mason University.)     

TARIFF PROTECTION IN AN OPEN SPATIAL ECONOMY*

Spatial pricing models have been used to illustrate a tariff's asymmetric effects on consumers located at different points in the protected economy, and to demonstrate that the optimum tariff for a small open spatial economy may be positive. In these models, the distribution of households has been taken as uniform and fixed. We extend the spatial model by allowing households to optimally locate and consume variable amounts of land, as well as the domestic- or foreign-produced good. Land consumption, location rents, and the distribution of consumers are endogenous, responding to tariff-induced changes in the delivered prices of the domestic and foreign goods. Within this limited general equilibrium framework, a neoclassical result resurfaces: from the perspective of private consumers, the optimum tariff in a small open economy is zero. The possibility of a positive optimum tariff, however, may remain intact in a more integrated model where domestic profits and tariff revenues are redistributed within the spatial economy.     

DIRECTIONS FOR DIVERSIFICATION WITH AN APPLICATION TO SASKATCHEWAN*

ABSTRACT. Traditional models of regional diversification do not capture the trade-off between stability and living standards. In this paper, we characterize regions as open activity models subjected to both productivity and price shocks. We then partially rank small diversification policies by the direction in which they point away from the current industrial structure in mean-variance space. Some general patterns emerge. In particular, diversification for regional self-sufficiency and away from regional comparative advantage may be undesirable.