SOVIET STRUCTURAL STUDIES TECHNIQUES AND ANALYSES

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CIA-RDP79-01093A001000120001-4
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July 14, 1999
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February 20, 1956
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Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 1..0+ PROVISIONAL INTELLIGENCE REPORT SOVIET STRUCTURAL STUDIES TECHNIQUES AND ANALYSES CIA/RR PR-134 20 February 1956 CENTRAL INTELLIGENCE AGENCY OFFICE OF RESEARCH AND REPORTS rww"-AmqUrKwT -- Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 This material contains information affecting the National Defense of the United States within the meaning of the espionage laws, Title 18, USC, Secs. 793 and 794, the trans- mission or revelation of which in any manner to an unauthorized person is prohibited by law. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 PROVISIONAL INTELLIGENCE REPORT SOVIET STRUCTURAL STUDIES: TECHNIQUES AND ANALYSES CIA/RR PR-134 (ORR Project 13.429) The data and conclusions contained in this report do not necessarily represent the final position of ORR and should. be regarded as provisional only and subject to revision. Comments and additional data which may be available to the user are solicited. CENTRAL INTELLIGENCE AGENCY Office of Research and Reports Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093A001000120001-4 FOREWORD This report represents an attempt to put into use for intelli- gence purposes some of the techniques of intersectoral analysis. It is a sequel to earlier studies of the intersectoral accounting struc- ture of the Soviet economy. In particular, this report is an explication of the precise analytical processes of intersectoral analysis and includes examples of analysis using these techniques. A brief investigation of the implications of an increase in petroleum output, an examination of the investment program of the Soviet electric power industry, and a study of the impact on the domestic economy of Soviet trade with the Western countries have been selected to test the techniques and demonstrate the usefulness of intersectoral analysis in economic intelligence research. The analytical work undertaken in this report is suggestive rather than definitive. As the basic data improve and as more experience with the techniques of analysis is gained and they become more refined, the intelligence community will be able to analyze accurately and in detail many phenomena of the Soviet economy which now must be treated with qualitative and highly aggregative techniques. Approved For Release 1999/09/26 : CIA-RDP79-01093A001000120001-4 Approved For Release 1999/09126 : CIA-RDP79-01093AO01000120001-4 S-E-C-R-E-T CONTENTS Page Summary and Conclusions . . . . . . . . . . . . . . . . . . . 1 I. Structural Description of the Soviet Economy . . . . . . . 2 A. Reduction of the Number of Sectors . . . . . . . . . . B. Accounting for Foreign Trade . . . . . . . . . . . . . C. Accounting for Government, Defense, Trade, and Services . . . . . . . . . . . . . . . . . . . . II. General Analytical Techniques . . . . . . . . . . . . . . III. Use of Analytical Techniques to Explore Specific Problems . . . . . . . . . . . . . . . . . . . . . . 13 A. Increased Output of Petroleum Products . . . . . . . . 13 B. Investment in the Electric Power Industry . . . . 16 1. Expansion of Installed Capacity . . . . . . . . . 16 2. Investment Program in Value Terms . . . . . . . . 17 3. Impact of Investment Program on the Economy . . . 18 4. Soviet Capabilities to Meet the Program 20 C. Trade with the West . . . . . . . . . . . . . . . . . 21 1. Valuation . . . . . . . . . . . . . . . . . . . . 22 2. Direct and Indirect Requirements . . . . . . . . . 25 3. Labor Requirements . . . . . . . . . . . . . . . . 29 4. Conclusions . . . . . . . . . . . . . . . . . . . 31 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Appendixes Appendix A. Mathematical Note . . . . . . . . . . . . . . . . Appendix B. Computational Note . . . . . . . . . . . . . . . Appendix C. Source References . . . . . . . . . . . . . . . . Tables Page 33 37 39 1. A Demonstration, Using the Iterative Process, of the Impact of a 1-Million-Ruble Increase in the Final Demand for Petroleum Products on the 28 Processing Sectors . . . . . 11 2. Soviet Investment in the Electric Power Industry, 1951-60 . . . . . . . . . . . . . . . . . . . . . . . . 19 3. Soviet-Western Trade, 1951 . . . . . . . . . . . . . . . . 23 4. Representative Bill of Soviet Export and Import Replacements Based on Soviet-Western Trade, 1951 . . . . 27 5. Labor Requirements of Soviet-Western Trade, 1951 . . . . . 30 Charts Figure 1. USSR: Intersectoral Transactions, 1951 . . . . . Figure 2. USSR: Intersectoral Transactions (28 Sectors), 1951 . . . . . . . . s . . . . . . . . . . . . . . Inside Figure 3. USSR: Direct Purchases per Ruble of Output, Back Cover 1951 ....................... Figure II. USSR: Direct and Indirect Purchases per Ruble of Final Demand, 1951 . . . . . . . . . . . . . . .J Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 CIA/RR PR-1.34 S-E-C-R-E-T (ORR Project 13.429) SOVIET STRUCTURAL STUDIES: TECHNIQUES AND ANALYSES' Summary and Conclusions When presented with concrete problems such as the implications for an economy of an investment program, an increase in production, or the impact of foreign trade upon the economy, economic intelligence has been forced to rely upon scattered aggregative data, qualitative judgments, and intuition. It has frequently not been possible to make use of available data about an economy, because no over-all ana, lytical framework existed. This report presents the intersectoral accounting system as one possible analytical framework. It is a method of describing and analyzing the Soviet economy in terms of the interrelationships among all the separate sectors. The analytical framework is designed for tracing through the production structure of the economy a postu- lated change which affects any or all sectors. After a discussion of the structural description of the Soviet economy (Section I) and the general analytical techniques (Section II), three specific analytical problems are examined. The first problem is to estimate and classify the production of goods and services implied in additional deliveries of a given value (1 million rubles) of petroleum products delivered to final demand. The second problem is to examine the Soviet electric power invest- ment program between 1951 and 1960. The third problem is to determine the nature and characteristics of Soviet trade with the West by comparing the domestic requirements generated by exports and those generated by the replacement of a comparable volume of imports. The problems discussed in this report are suggestive of the kind of analyses which may be undertaken using these techniques. The absence of necessary corollary information prevents the presentation of definitive conclusions. The estimates and conclusions contained in this report represent the best judgment of ORR as of 15 January 1956. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 The example of increased deliveries to final demand of petroleum products indicates clearly that a given change in final demand will have multiple repercussions throughout the economy, thus demonstrating the extent of the interrelationships in the economy. In addition, the immediacy with which a change in a single sector fans out and is felt in every sector of the economy indicates the strength of these interrelationships. The requirements of the electric power investment program, traced through the Soviet economy, draw attention to the sectors in which these may be limiting factors. The analysis is a prototype of that which must be applied to the entire investment sector, pro- gram by program, in order to point up the sensitive areas within the Soviet economy. Soviet trade with the West is shown to be labor intensive. This represents a confirmation of an already established judgment. It is further shown, within the framework of this analysis, that the replace- ment of imports by domestic production would represent a substantially greater sacrifice than the benefits which would be gained by domestic retention of exported items on a per unit basis. Despite the fact that the conclusions cannot be regarded as final, the analyses undertaken in this report indicate clearly that the techniques employed, while still crude, are those which are capable of providing answers to many of the questions required of the intelligence community. I. Structural Description of the Soviet Economy. The purpose of intersectoral accounting systems is to describe the operations of an economy, to indicate the interrelationships among all sectors of the economy, and to provide the basis for anal- ysis of the economy. Analysis proceeds from the implicit assump- tion that intersectoral transactions in fact reflect the dependency Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 of a given sector upon the other parts of the economy. For example, the production of steel is directly dependent upon the supplies of manpower, iron ore, coal, and other materials and upon electric power made available to the steel sector. Similarly, the output of these products and their supply to the steel sector are dependent, directly or indirectly, upon steel deliveries. These intersectoral relationships for the Soviet economy employed in this analysis are presented in Figures 1, 2, 3, and 4-. Figure 1* is the basic intersectoral transactions table for the Soviet economy in 1951. Figure 2* presents a simplified intersectoral transactions table for the Soviet economy in the same year. Figure 3,* which is derived from Figure 2, presents the direct requirements by a given sector per ruble of deliveries to a consuming industry. Figure 1i,* which is derived from Figure 3, presents the direct and indirect requirements by a given sector per ruble of deliveries to final demand. The conceptual basis of intersectoral accounting and the mathematical formulation of intersectoral analysis are presented in Appendix A. The intersectoral transactions table (Figure 2) upon which this report is based has been derived from the transactions table (Figure 1) presented in an earlier report. / The differences between these tables are as follows: the current table is smaller (there are fewer processing sectors); imports in the current table are treated as a negative output rather than as an input; the government and defense sectors of the earlier table have been combined, as have the trade and services sectors. A. Reduction of the Number of Sectors. The smaller intersectoral transactions table was employed in this research aid to reduce the computational requirements of analysis. Computing the inverse (see Appendix B) of a transactions table requires n(n2 + n) individual computations, where n represents the number of processing sectors. The original table has 61 processing Inside back cover. For serially numbered source references, see Appendix C. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 sectors. Thus about a quarter of a million computations would be required to obtain the inverse. The transactions table employed in the current study has 28 processing sectors. Only about 25,000 computations were required to calculate the inverse.* The process followed in reducing the size of the transactions table was to combine those sectors whose products were similar. The rows and the columns of those sectors whose products were similar were added. The resulting new row presents the distribution of output of the new combined sector, and the resulting new column presents the distribution of inputs of the combined sector. Intrasectoral trans- actions, as in the earlier table, have been removed from the diagonal cells and from the totals. This combining, or aggregation, of sectors is not without its effect upon the usefulness of the intersectoral tables as analytical tools. First, the process of aggregation may obscure important inter- relationships among the components of the aggregated sectors. In some instances it is possible that the detailed information sacrificed may be of greater importance than the more general information made available by the process of aggregation. A second effect of aggregation is upon the numerical results derived from the use of the transactions table as an analytical device. A different grouping or combining of sectors from that employed in this report will yield more or less different numerical results for the problems discussed below. If the "correct solution" to a given problem is known, then by comparing the different shortcut answers with the "correct solution" it is possible to measure the comparative "goodness" of different aggregative classifications. However, because the data, even in their most detailed state, are already aggregated, it is not possible to determine the "correct solution" if it is not given. Two general characteristics of the process of aggregation are as follows: the more highly aggregated systems, when employed for analytical purposes, tend to overestimate the attainable levels * Even so, large-scale electronic computing machinery was required. Appendix B outlines the computational procedure. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 of production for an economy; similarly, the more highly disaggregated systems tend to underestimate the capabilities of an economic system. These characteristics develop from implicit assumptions regarding the substitutability among both inputs and outputs for a given aggregated sector. The process of aggregation tends implicitly to widen the range of "feasible" substitute inputs and outputs. Conversely, the process of disaggregation.tends to narrow the range of "feasible" substitutes. The implications of these characteristics may be seen from the following example. Assume, for instance, that large quantities of a certain type of electric motor are essential to aircraft con- struction. These motors might be, and indeed are, grouped with a number of other electrical parts and form only a small portion of the aggregate. If increased aircraft production were attempted, the number of motors needed might exceed the number which could be pro- duced. A large aggregated sector, however, in which motors were only a small part would not reveal such a shortage. On the contrary, it would imply that material inputs and factors of production could be converted from the manufacture of other commodities within the sector to satisfy the requirement. Conversely, aluminum is a "feasible" substitute for copper in the production of electrical equipment. The disaggregation of these two commodities, by narrowing the range of substitutes, will tend to cause an under- statement of the ability of the economy to meet its requirements for electrical equipment. B. Accounting for Foreign Trade. A comparison of Figure 1* with Figure 2* reveals that, in the latter transactions table, imports are treated as though they were negative exports (or negative output), whereas in Figure 1 they are handled as inputs to the import-competing sectors. That is, in Figure 1, imports are channeled through those sectors which produce comparable domestic products rather than being charged di- rectly to the consumer's industry. The effect of this change is that in Figure 2 each sector's total output is expressed as domestic production, whereas in Figure 1 it is expressed as domestic production plus imports. * Inside back cover. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 This modification is not without its effect upon the input coefficients derived from the transactions table. The effect is to increase the input coefficients for the sectors in which this change takes place. This may be demonstrated as follows. Assume an industry which has the following input pattern: Inputs of Goods and Services into Industry "i" Rubles Percent Industry 1 40 40 Industry 2 30 30 Industry 3 20 20 Imports 10 10 A shift of imports from inputs to negative exports will display the following input pattern: Inputs of Goods and Services into Industry Rubles Percent Industry 1 40 45 Industry 2 30 33 Industry 3 20 22 Total 9o The second input pattern, in which imports do not appear as a cost to the sector which produces similar commodities, furnishes a more accurate basis for computing, for example, the requirements generated by a postulated change in final demand. It also clarifies the treatment of imports, since it leaves the determination of net -6- Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 import requirements for each class of commodities to be determined as the algebraic difference between the requirements generated and the domestic production forthcoming under the postulated conditions. C. Accounting for Goverment, Defense, Trade, and Services. The aggregation of government and defense and of trade and services from 4 into 2 sectors was conducted for the purposes of analytical convenience. The combined government and defense sec- tor now includes all purchases of the government (including the purchases of the defense industries) with the exception of outlays for health, education, and retail trade. The latter expenditures are included in the combined services and trade sector. These modifications have no direct impact upon the analytical results derived from the application of intersectoral techniques to a given problem. Furthermore, the loss of detail in the final demand sector does not hamper seriously the interpretation of these results. II. General Anal tical Techniques. The description of an economic system, ideally, may be conducted in the absence of assumptions regarding the nature or structure of the economy. Most frequently, however, the complexities of modern societies force the use of simplifying assumptions in order to form a frame of reference for the accumulation and processing of informa- tion. To the extent that these simplifying assumptions abstract from reality, the description itself abstracts from reality. In addition, because man is not omniscient, the prediction of economic events always requires two primary sets of assumptions. The first is the postulation of the future activity -- for example, a change in final demand or a technological innovation. The second is the necessary assumptions regarding the interrelationships within the economy over the period involved. The primary postulate of intersectoral transactions accounting systems is that there exists a relationship between some of the transactions which take place within an economy and the structure of that economy. Therefore, an accounting of these transactions may be employed to make meaningful statements regarding the structure -7- S-E-C-R-E-T Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 and nature of an economy. It was upon the basis of this postulate that an attempt to construct an intersectoral transactions model for the USSR was undertaken.* A further limiting condition was imposed in the construction of the basic transactions table to reduce the areas of conjecture and to evolve a useful tool for analysis. This was to restrict the transactions estimated to those on current account. Thus the trans- actions table employed in this report presents only the intersectoral transactions on current account. The capital account transactions have been accumulated into the investment sector of final demand. To employ the transactions table for the analysis of particular problems, it is necessary to make an additional postulate. This additional postulate may be stated as follows: the intersectoral transactions in an economy are some function of the output level of the various sectors. For example, it is postulated that the purchase of coal by the iron and steel sector is some function of the output of the iron and steel sector. Operationally, in the absence of adequate information regarding these transactions (that is, the purchase and sales among processing sectors), it has been necessary to specify arbitrarily the nature of the functional relationships among the sectors of the economy. It is assumed specifically that the purchases a given sector makes from another processing sector are a constant proportion of the level of output of the purchasing sector. Purchases of coal by the iron and steel sector are assumed to be a constant proportion of the value of the output, and thus of the total costs, of the iron and steel sector. In economic terms, it is assumed that all sectors are experiencing constant costs. These assumed character- istics are displayed in Figure 3.** Here the input requirements of each sector are expressed as a constant proportion of the sec- tor's cost. By moving the decimal point two places to the right, these input requirements may be expressed as a percentage of total cost. *. The theoretical structure and the analytical applications of intersectoral accounting are discussed in a previous report. J ** Inside back cover. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093A001000120001-4 Intersectoral analysis has its primary application in the examination of the implications of changes in the economy which influence the levels of output of the various sectors. These may be characterized as (l) changes in final demand; (2) changes in technology; and (3) restrictions imposed upon the economy from outside, such as trade controls and indus- try destruction as from air war or sabotage. The validity of the results derived from intersectoral analysis of problems of this type rests upon the extent to which the data approximate the conditions in the Soviet economy and the extent to which the assuihptions needed for the analysis are a reflection of Soviet economic and industrial experience. Two general methods may be employed to analyze problems of the type outlined in the preceding paragraph. One is the iterative process, using the sector input coefficients. The other is the application of an algebraic device known as an inverse. (Both represent methods for the solution of the system of equations outlined in Appendix A.) Thus, given a change in the economy, such as an increase in final demand, these methods permit an estimate of the impact of this change upon the individual sectors of the economy. By way of example, it can be assumed that there is a 1-million- ruble increase in final demand for petroleum products. The goal is to determine the total impact, not only upon this sector of the economy but also upon all sectors of the economy of this increase in demand. The increased demand postulated for petroleum products, if met by increased production, will induce increased purchases by this sector from its suppliers. The amount of these purchases from each supply sector is determined by the input coefficients of the petroleum sector (column 11 of Figure 3*). This is the initial, or first-round, impact of the postulated change in final demand and is represented in Table 1** by the first column. The suppliers to the petroleum sector are assumed to meet these increased purchases by increases in output. The increases in the output of the petroleum sector suppliers cause them to increase their purchases from their supplying sectors, the amount of each purchase being determined by the appropriate input coefficient. * Inside back cover. ** Table 1 follows on p. 11. -9- Approved For Release 1999/09/26 : CIA-RDP79-01093A001000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 This is the second-round impact of the change in final demand and is represented sector by sector in Table 1 by columns 2 through 15. This procedure is continued, tracing the increased purchases through the economy until the changes become negligible. The sum of all these increased sales (output) for a given sector is the total effect upon that sector of the increased demand for petroleum products. The final column in Table 1 presents for each sector the total impact upon that sector of the increased demand for petroleum products. In effect, this column presents the direct and indirect requirements needed from each sector to fulfill the increased output of petro- leum products. Fortunately, for some purposes, this laborious procedure may be shortened. Figure 4* shows the results of a systematic, simultaneous, and complete set of computations of the desired type, carried through by means of a high-speed electronic computer.** Technically, the result of these computations is the derivation of the "inverse" of the input-coefficients table, Figure 3, or the matrix (I - A)-l,*** For purposes of exposition, Figure 4 is a transposed inverse: that is, the rows and columns have been interchanged. Each row of Figure 4 shows the output in 1951 required directly and indirectly from each sector to support the delivery to final demand of 1 ruble's worth of product by the sector named at the beginning of the row. For example, in row 1 the delivery of 1 ruble's worth of food crops in 1951 required a total output (exclusive of intra- industry sales) of 1.003794 rubles of food crops (sector 1), 0.5419586 ruble of industrial crops (sector 2), 0.0008144 ruble of coal and coal products (sector 12), and varying amounts from all others. Each column in Figure 4 shows the gross output required from the sector named at the top directly and indirectly per ruble of deliveries outside the processing system by each of the sectors. The entries in the first column, for example, reflect the depen- dence of food crops production on the demand for grain, mill, and bakery products; other foods and kindred products; chemicals; and so on. * Inside back cover. See Appendix B, Computational Note. *** See Appendix A. Mathematical Note. 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Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 -CI" RDP79 Total First, Total Direct Becom, and Third and Indirect Bounds srfects 27 28 1,059.4 1,260 352.8 7,183.5 7,720 1,816.1 1,816.1 2,090 0.1 1.1 0.3 0.2 158.3 1,129.9 1,240 0.4 11.0 5.3 1.1 32-9 822.0 870 .0 0.4 21.8 12.7 1.7 2.0 g 3 70.5 1,500 41.4 1.9 2.9 0.03 1.4 9.4 3.0 7.1 1.7 0.4 : 3 39.0 N 2,270 2.3 1.0 0.2 0.1 0.05 0.3 0.3 1.5 97.4 110 101.8 37.9 9.9 1.2 0.4 2.1 80.2 5.9 0.9 5.6 1.1 1.8 934.9 7,635.3 8,060 5 120.1 42.1 8.5 1.9 0.3 6.3 73.0 2.0 2.1 32.8 16.0 1.1 1.1 1#345-5 42,353.0 42,710 .1 67.3 4.1 2.1 0.5 0.1 0.6 3.9 0.7 23.2 94.5 224.7 226.4 0.7 3,709.2 4,430 22.5 3.7 1.9 0.5 0.1 0.5 3.4 0.5 270.1 1,100.7 4.7 5.1 2,030.4 15,065.9 16,150 0.9 2.9 4.3 8.9 1.2 0.3 15.1 0.1 1.1 0.3 138.8 1.5 0.2 398.0 1,741.8 1,870 .6 21.9 21.7 5.0 2.3 0.1 5.1 33.0 0.4 35.1 4. 1-4 358.9 4,660.9 4,930 49.4. 317.7 99.6 28.6 13.I 28.3 72.2 38.0 62.2 5.1 0.2 944.9 3198.2 300 05 94.2 31.2 2.6 0.6 10.0 179.2 3.5 38.1 1.3 0.2 531.3 2,924.9 3,210 3 14.1 38.9 15.4 2.7 7.2 108.3 11.5 1.8 14.0 9.7 4.2 1.1 892.7 5,471.5 6,100 .2 5.3 25.5 23.5 7.6 8.8 25.9 20.4 3.1 22.1 7.1 216.2 9,645.7 9,800 .9 13.3 0.3 0.2 4.8 2.2 135.4 1.5 304.5 5,984.0 6,230 2 38.3 0.05 2.5 1.0 1.2 332.2 191.5 230 13.6 29.8 0.1 1.9 25.1 7.9 3.0 3.6 85.0 550 .0 0.5 17.5 12.8 8.4 0.4 11.8 5.2 43.6 8.6 7.1 17.9 145.7 2,340.8 2,450 20.7 0.5 137.5 172.0 462.6 510 5 12.0 5.6 0.8 0.4 1.3 30.1 1.7 52.0 1.7 3. 1,064.7 50,853.0 51 310 2.5 27.7 9.8 3.5 1.1 2.5 16.0 3.5 86.4 32.8 7.6 8 1. 30,740.8 11,490 .0 24.6 5.3 2.1 0.7 0.2 0.6 6.7 1.0 34.0 37.5 1.3 0.9 M6 2,766.3 2,990 .4 4.0 1.4 0.5 0.2 - 0.04 0.1 0.8 0.4 29.0 7.0 22.5 0.2 262.5 4,547.1 .9 11.2 5.8 2.8 0.3 0.2 0.8 6.4 0.6 31.0 7.3 26.6 5.9 200.8 14,464.2 14,E Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093A001000120001-4 The use of the inverse is most suited to those problems in which one wishes to examine many different changes in final demand. The one inverse can be used an indefinite number of times with variations in final demand. When changes in elements other than final demand, such as changes in the -technical structure, are to be subjected to examination, the inverse is not a helpful device. In such instances, the process of iteration, which permits changes in technical coeffi- cients and allows more flexibility in the tracing of indirect effects, is utilized. Iteration also is used where it is desired to introduce time explicitly into the problem, as in analyzing some investment programs. III. Use of Analytical Techniques to Explore Specific Problems. It is the purpose of this section to introduce the methodology and the limitations of intersectoral accounting as they are exhibited in the analyses of three specific economic problems. The first is.a hypothetical increase in the output of the petroleum products sector, employed as an illustration in the preceding section. The second is an estimate of the requirements generated by the proposed Soviet investment program for the electric power industry. The third is an evaluation of the impact of alternative trade control programs upon the Soviet economy. It must be pointed out that the numerical results proceeding from this type of analysis are of relative rather than absolute signifi- cance. A complete evaluation of these problems can be made only in the light of additional information (not available in the transactions structure used in this report) regarding the Soviet economy. The role of this additional information and its nature will be noted with regard to the specific problems treated in this section. A. Increased Output of Petroleum Products. The determination of the demands imposed upon the Soviet economy by an increase in the output of petroleum products is one type of eco- nomic problem to which intersectoral accounting techniques may be applied. Postulating a given increase in the output of this sector, it is pos- sible to indicate by means of the iterative process or the inverse the demands which would be levied directly and indirectly upon the economy to meet this increased output goal. The requirements bill resulting Approved For Release 1999/09/26 : CIA-RDP79-01093A001000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 from this analysis (Table l,* last column) reflects only purchases on current account and provides no direct measure of the capital require- ments for the increase in output. The capability of the Soviet economy to produce that bill of goods (requirements on current account) needed to expand the output of petroleum products depends upon three factors: (1) the availability of natural resources including labor, (2) the existence of unused plant capacity, and (3) the position of the petroleum products sector in the schedule of priorities of the Soviet decision-makers. It may be seen that (1) and (2) cover the ability of the Soviet economy to meet the requirements of the higher level of output, without reference to changes in other requirements. The Soviet capability to allocate resources and plant capacity as needed, to meet the desired level of output, also depends, of course, on the extent of higher priority requirements. Thus it may be seen that the data resulting from the computational procedure are of limited use and have real significance only in connection with other information regarding the Soviet economy. If it is determined that in order to meet the required levels of output, the existing plant of certain sectors, including possibly the petroleum products sector, must be expanded, it is possible then to estimate the requirements of the subsequent capital investment program. This demands the determination of capital coefficients and then of the inputs required to achieve the required increase in plant capacity. Given this input information, it is possible to estimate (again using the iterative process or the inverse) the impact of the capital program upon the output levels of all sectors in the economy. The total impact upon the economy, then, is the sum of the input requirements induced by the expanded output of the petroleum products sector plus the requirements generated by the accompanying capital program. The petroleum products sector has substantial charges outside the processing sectors. Of the 1-million-ruble expenditure, only about 130,000 rubles are expended in the 28 processing sectors. The first-round column in Table 1 shows how these expenditures are allo- cated. * P. 11, above. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 S-E-C-R-E-T Table 1 indicates how each of the first-round effects fans out through the economy as the sectors whose outputs are increased in the first round force their suppliers to expand their output. In the second round, many sectors on which direct demands are not made have their outputs increased. In the third round, all the sectors are affected, so that by the end of the third round every sector has an expanded output. In fact, at the end of the third round, the output of all sectors is about 58 percent greater than the direct expenditures of the 28 processing sectors. It is interesting to note that more than 15 percent of the direct and indirect effects is represented by output from sectors where there are no direct expenditures. The relationship between the direct and indirect expenditures as revealed at the end of the third round of transactions and the final conclusion of the iterative process, as shown by the inverse, has some meaning. About 96 percent of the total impact of the initial. expenditures has been worked out by the end of the third round. This indicates the strength and extent of the interdependence of the economy and the immediacy with which an impulse in one sector is communicated to all other sectors. Intersectoral analysis also indicates labor expenditures generated by the increased demand for petroleum products. The direct labor expenditures generated are 202,000 rubles. As has been indicated earlier, however, the increased output has repercussions throughout the economy. Multiplying the direct and indirect demands for all 28 sectors by their respective labor input requirements indicates that the total labor requirement is 271,000 rubles, or about 35 percent more than the direct labor requirements. It can be seen readily that should the USSR decide upon an expansion of petroleum products, not only must it count upon a con- siderable expansion of other industries, but also its labor require- ments will be substantially more than is indicated by direct costs. The problem, as described above, has been assumed to be timeless: that is, the response of the economy to changes in the output of the petroleum sector has been assumed to be, in effect, instantaneous. More detailed knowledge of the Soviet economy and its decision-making processes Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 would permit a modification of the analytical technique to account for the time period between the initial decision and its fruition. This would require the leading or lagging of particular sectors so that their position in the iterative process would correspond more closely to their position, in time, in the production process. It must be noted here that the use of a single inverse provides an instantaneous, or timeless, solution, and it is not possible to modify the technique to account for the leads and lags of individual sectors in the productive process. B. Investment in the Electric Power Industry. The purpose of this section is to analyze the implications of the Soviet electric power development program between 1951 and 1960. The use of intersectoral accounting techniques permits the examination of the investment program which underlies the growth trend of the production of electric power from 90 billion kilowatt-hours (kwh) in 1950 to the proposed goal of 320 kwh in 1960. These techniques indicate those sectors of the economy which will feel not only the direct but also the indirect impact of investment in electric power. 1. Expansion of Installed Capacity. The Fifth Five Year Plan (1951-55) for the electric power industry was to double electric power capacity, which was 19.2 million kilowatts (kw) at the beginning of 1951, while increasing electric power output by 80 percent. This program would have reduced the high plant factor obtaining at the beginning of the period, almost 4,800 hours per year, to about 4,300 hours per year.* By the end of 1955 the USSR had increased the output of electric power by more than the planned amount though falling short of the goal estab- lished for generating capacity. Electric power production, calculated from Sixth Five Year Plan (1956-60) information, / was 170 billion kwh in 1955, whereas generating capacity is estimated to be 37.0 million kw. This represents no reduction from the plant factor experienced in 1950. The Sixth Five Year Plan J implies a generating capacity in 1960 of about 2.3 times the 1955 plant, or approximately 84.4 million kw. The planned capacity, in conjunction with the output goal, results in a plant factor of about 3,800 hours per year, a reduction of nearly 1,000 hours per year from the 1955 level. The Using end-of-year output and capacity. - 16 - S-E-C-R-E-T Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 reduction in plant factor embodied in the Sixth Five Year Plan is twice that planned for the 1951-55 period. This suggests that the electric power investment program in the Sixth Five Year Plan is, in part, an attempt to make up for time lost in the previous program. The 1950 Soviet electric power plant of 19.2 million kw is estimated to have been composed of 16.2 million kw of thermal capacity and 3.0 million kw of hydroelectric capacity. For the period 1951-55 it is estimated that 14.8 million kw of thermal capacity and 3.0 million kw of hydroelectric capacity were added. The Sixth Five Year Plan calls for a thermal capacity in 1960 of 2.2 times the 1955 level and a hydroelectric capacity of 2.7 times the 1955 level. / This represents an increase of 37.2 million kw in thermal generating capacity and 10.2 million kw in hydroelectric generating capacity. In addition to generating capacity, it also will be necessary for the USSR to add to its transmission and distribution facilities during 1956-60. It is estimated that transmission and distribution facilities will increase proportionately to increases in generating capacity.* 2. Investment Program in Value Terms. For use in the intersectoral framework it is necessary to convert the investment program described above into the same units as those used in the analytical device: that is, 1950 rubles. There are not sufficient Soviet data to convert the entire physical program directly into rubles. Hence recourse was taken to technical data for the US, modified wherever possible by Soviet information. Extensive studies have been made in the US on the capital equipment and con- struction requirements for the addition of electric power capacity. The US capital equipment data are in 1947 US dollars.** It was necessary to adjust these data to 1950 dollars. The dollar data * The procedure employed in this report assumes that approximately 1.00 kilometer (km) of 100 kilovolt (kv) line is constructed per 1,000 kw of added generating capacity. This is in keeping with the Soviet experience of 1.75 km in 1951 and 0.75 km in 1954 as reported by A. Marinov, Director of Chief Urals Power Administration. ** See source J for a collection of US capital studies. XXX The US data were for 1947. The price indexes used for moving the data to 1950 were from source. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 were then converted to rubles for each category of inputs by means of studies of ruble-dollar ratios for nearly all sectors of the economy. 91 The same treatment was given construction data. 10 The difference in the proportion of thermal to hydroelectric power between the US and USSR was taken into account, and Soviet data were used wherever avail- able. All these data were organized into the classification system of Figure 2.* They are presented in columns 1 and 3 of Table 2.* The investment program as outlined conforms closely to that which has transpired in the USSR so far. In 1950 rubles the investment program carried out in 1951-53 and planned for 195+ amounted to 47 billion rubles. 11 Table 2 shows the 1951-55 electric power program to be 64 billion rubles. The ratio of value of capital expenditure to capacity is 3,600 rubles per kw. This figure is some- what higher than that for the early postwar period, when smaller expenditures could bring partly destroyed plants into production. 12/ 3. Impact of Investment Program on the Economy. Using the inverse matrix, Figure 4, - it is possible to determine the implications of the electric power investment program and its impact upon every sector of the economy. The direct and indirect expenditures of the program are given in columns 2 and 4 of Table 2. The total investment program, including construction, is spread over 13 of the 28 sectors, with substantial purchases in many of them. Many of these expenditures are such as to give rise to indirect expenditures of considerable magnitude. For the investment program as a whole, the direct and indirect expenditures are one- half again as much as the direct expenditures. The relationship between the direct expenditures and the direct and indirect expenditures is an indication of the distribution (or composition) of the burden which the economy assumes when Inside back cover. Table 2 follows on p. 19. XXX This conformity is in terms of funds invested rather than in terms of additions to capacity actually put into operation during the period. The difference between the ways of measuring the program would be indicated by the difference in the volume of work under way at the beginning and end of the period. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 C4 Ui H roq N u 41 U H H O -10CONL~-IrlF-IN O~~0 0~ O EM MLM-c00~~ in M F- p - O 2 OD N O~ '-'Pi M Wi i+'1 n MN O (~.3 L~ H U~ 1- ~-t CV ..#OOH VIM .1 ri N ri ~D r-I HMN H0 PI ~p N C\ N [t :k Ct H .H ~n M u~ H ri 4 H N ri M I.r~ ri ~O. Oral 0 N 00 'n HOD 0 ~ c`t-t N i'1 pm mi C\ C, N OJ O\ H rnr~ ~ ~H pmp~~0~o~ipn o~ ~~m~~cyv mcmv~ R~ i tim N ti U O~.t ~O C- m m ~r N m o in N.. H \O 77 H ri C- O~ m r-1 HN ..7 u1ui C--.# HN 'A H W Q H U N ri .. i H 41 W U N U1 O M U N H In 00 N WA CO .# OM~OM~O~ 1i .7 N r) -t O H \ A H 7 D r i v P ' o O v m s u w m a m o ff +~ .q U +~ yroy rl -F~ N N u d;I 'CI ttl r-U/l q 0 W1 aa11 0 .~1 Ul u yw " O P, a yq A cOi 1 9.0 A '0 N ~ a a a~ drogroyy p Pm N N ~P~ q tl W,O U N ~ - t 0 i q N Fi U Al P '?1 - 1 +1 4> q N m +i F. +~ ++ N N ++ r-I q J PPP~~ ? i y P, U q N W A 1F . E i ~ k + -I ? 1 F q u H i .d ri N P of 7 '1 ,y1 , M roC N M ti ro v ? N 1- 14 11 ti ro ~i P w ? ^ y -P 4- w [qi ti F ri U 0 N .i M W q C o . a { ~ U ri O U q ' A a~ O N 0 ro O ro ? ~ +~ -~ ++ N ~ i C N N W q H q A roro FF q t O ff~~ ~~ 1 gq t ~~ ii.. 1 W O F O cd WHGWH3UWU'F,HYWH66UF~fGHU U . . . . . . . . . . . . . . . . . . . N.. . . .~p.. . . H N M..# ~n~p C-cO T O H H -i H N N CU N N N N Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 undertaking the program. As would be expected, the relationship in the electrical equipment sectors is nearly 1 to 1. This results from the fact that most of the output of these sectors is delivered directly to final demand, especially the investment sector. Indirect effects are not felt evenly through the economy. The petroleum products, rubber, automotive equipment, and communi- cations sectors experience considerable indirect demands resulting from the investment program. Sector by sector the ratio of direct and indirect to direct expenditures ranges from 1.04 (electrical equipment) to 4.2 (communications). There are even considerable indirect expenditures in sectors where there are no direct expendi- tures. In the period 1951-55, over 10 billion rubles of expendi- tures, more than 20 percent of the direct expenditures, are in sectors in which there are no direct expenditures. A similar ratio holds for 1956-60. 4. Soviet Capabilities to Meet the Program. Any single-sector investment program such as that for electric power, is within the capabilities of the-USSR. Only by testing the entire investment, consumption, and military program would it be possible to determine economic feasibility. On the basis of the limited information on investment in electric power and its impact upon the economy, 1951 sector outputs, and the potential growth of all sectors, however, something may be said about the relative impact of the program, and an indication may be given as to the economy's ability to carry the burden. It is possible to dismiss most of the sectors from consideration because the demands, direct and indirect, of the electric power program are so small. There are, however, a few industries in which the impact is substantial. For instance, in nonmetallic minerals, which includes building materials, the direct and indirect demands for the period 1956-60 are about 70 percent of 1951 output. For nonferrous metals the total demands are almost 90 percent of 1951 output. Iron and steel, fabricated metal products, and industrial equipment also will feel a considerable impact from the electric power investment program. It cannot be said, however, on the basis of evidence here, that the Soviet economy will not be able to absorb these demands, which are spread over a period of 5 years. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 S-E-C-R-E-T There are two substantial direct requirements, however, which may well impose important choices between investment in the electric power industry and other goals. One is the requirement for turbines, generators, transformers, and electrical equipment (in- cluding cable for transmission lines), which amounts to about three- eighths of the direct cost of the program. Since a great deal of this equipment is produced specifically for the electric power industry, the principal competing requirement would appear to be that of defense and defense-related programs. Whatever the reason, the production of turbines and generators during the Fifth Five Year Plan has been below the target set, and this presumably is related to the cutback in investment in the electric power industry. The other major direct requirement of the program is construction labor, which accounts for about one-third of the direct and indirect labor costs, or 14.6 billion out of 42.6 billion rubles in the years 1951-55 and 21+.5 billion out of 71.2 billion rubles in the years 1956-60. The direct construction-labor cost alone amounts to about one-quarter of the direct cost, and the cutback in investment in the electric power industry may be related to the failure to meet planned targets for increasing the productivity of construction labor. The greater part of the construction of electric power capacity deferred from the Fifth Five Year Plan seems to consist of two very large hydroelectric projects in the Volga region, which together have a planned capacity of 33.9 million kilowatts. The 1956-60 electric power investment program, designed to sharply reduce plant utilization, is more than 2.5 times the 1951-55 program. Whatever the reason, the 1951-55 program failed to achieve the original goals whereas over-all investment and electric power output both achieved the proposed levels. It would seem evident that the Fifth Five Year Plan objectives of reducing plant utilization (and of increasing the proportion of hydroelectric capacity) had a lower priority than some of the objectives with which they were in competition. C. Trade with the West. This section presents a preliminary evaluation of Soviet trade with the West in 1951. The analysis includes a study of the impact of this trade upon the Soviet domestic economy. Both the exports and imports are examined in order to determine what sectors of the economy are involved and the extent of demand upon these sectors. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 The technique of intersectoral analysis permits an examination of the nature and characteristics of Soviet foreign trade. It has the signal advantage of permitting an estimate of the direct and indirect requirements generated by both exports and domestically produced re- placements for imports where imports are reduced or eliminated as a result of non-Soviet action, such as Western trade controls. The technique points out those sectors upon which these demands would impinge, thus indicating some of the forces underlying Soviet trade patterns. It must be noted that the grouping of all processing activity into 28 sectors of the economy represents a considerable sacrifice of detail. These large categories tend to obscure Soviet trading activity, which is characteristically highly specific. Some restrictions, therefore, must be placed upon the conclusions because of the high degree of aggregation. 1. Valuation. Presented in Table 3* are estimates of Soviet trade with the West. Soviet exports to the West are assigned to those sectors of the economy producing the export. Imports from the West are assigned to those sectors of the Soviet economy which produce domestically goods that compete with, or are similar to, the imports. For example, Soviet imports of electric motors, generators, and transformers are assigned to sector 21, which produces those prod- ucts domestically. Available estimates of Soviet trade with the West are compiled in dollars on the following basis: Soviet exports c.i.f. Western ports and Soviet imports f.o.b. Western ports. Before con- verting these estimates to a ruble base, it is necessary to adjust for transportation charges. Available estimates of the cost of shipping goods indicate that transport charges are about 13 percent of the total value of Soviet exports and 10 percent of the total value of Soviet imports. 13 These percentages, in the absence of other data, were applied across the board to the commodity esti- mates in dollars for the trade with the West. * Table 3 follows on p. 23. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 N L PIN ~pI~t N C\ (3\60 NOON U- N ~ O\ O\ u1 N N O\~ u., N ~n ~ u-, m o\ O\ -I aJ (V OD J ON H A 1u G\ '.It O\ O\cO H N u\\O aND N cli t O\ 0 u\ O\ N m H N ~ L(\ u \\ up1 O (O \\Q u\\O O\\O u\ N CO m CO O O O\ (0 cv ~N O O\ O\ Cam---y' N ~O u- K1 m~ N Hi 28 H Cfl "0 H H r- 0 N ri t CO O H O\N\O\\O O N H N l A1.fl11'~ m a\ O --t m~N H.O1 u\m cej t- N ` ON H A N -~\\O 0 H (n N C-p IQ Il t- Lr\ - 0 H u\ H u1 u1 H O\N u\ 0 N m N 1-1 \O 0 CO U-\ \O O\N N (N~ N \O m m ON W [~- m N -:t H \O ri ri ~- ri \O C- \O m O m C- m O m H H O ~\D u\ \O H u\ N M, H 00 w Sy) ~7 N O A O H O 'W O p ip O O {~~ O ?rl O O A W C7WNU WU,H7 H66UEfY.EO u -N O O H ri O H td H ~ of H U ++ O Pi H +~ +> PW N U U f7 ,- ?H O yy Ul ?ri N U N +1 ^ ry -H ? 1 M +` -I~ a H ? b H '~ O ?rl O Fl U H TJ , U td N H ?rl tad R1 N '9 4~ CC U 6 N N td g H N O yP P b O U O ?rro1 6 b N O ri O b td rHi b O ?.Oi ?r~i U H a N O H u si' H H H O N H N N a3 g H N H ~-' O ?~ O -H H H O ?rf N H N b H Y ' N N H r~ w a O o cud 6 +~ u U 41 O m O FJO- P a N *' 4- o' Fri q OWN Fla H d F4 p H N Fj yp .N H i-' n5 O d F-i N V 4a ~ U 4-1 +'+ f~ O ~1 N O N qq O t~0. 0.1. U 4~ -Ii H O !d O E~ N O OO td v 4"1 +1 v q u ', O HW 0 aO O W rNi FOi q ~C uHi + M UP P, ?N r~ H N a U UI N N b H N m..* u\\O N O\ O r-I N m..* tn\O t -N O\ O rl N '(m * u\\O [x-00 Hri rl .-{rl ri rl ri ri riN NN N N N NNN Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Aside from some scattered statements indicating total trade turnover, available information regarding Soviet foreign trade is pre- sented in currencies other than the ruble. Detailed statistics of Soviet commodity trade with the West are available in dollars. For use in the exercise they must be converted from dollars to rubles. Two ruble estimates of Soviet trade with the West are presented in Table 3.* The first is the result of employing ruble-dollar ratios based upon Soviet domestic prices. 14 The second estimate is an attempt to value trade in consumer goods and petroleum products in ruble prices which exclude the turnover tax and trade in agricultural products in ruble prices which are assumed to represent Soviet procurement and contract prices. These are referred to as adjusted domestic prices. The re- sults are su?rized (from Table 3) as follows : US Prices (Thousand Dollars) Soviet Domestic Prices (Million Rubles) Adjusted Soviet Domestic Prices (Million Rubles) Exports (f.o.b. USSR) 345,097 4,768 1,483 Imports (c.i.f. USSR) 425, 945 4,276 2,924 Total 771,042 9,044 4,407 On the basis of Table 3, the USSR, when its trade with the West is valued in dollars, has an import balance which is approximately 10 percent of total trade turnover. When these same traded items are valued in Soviet domestic prices, the USSR has an export balance of slightly more than 5 percent of the total value of trade. Finally, when the traded items are valued in adjusted domestic prices, the USSR has an import balance of almost 33 percent of total trade. If Soviet commodity trade with the West were in balance in dollars and trade were being conducted rationally, it would be expected that the valuation of this trade in rubles would result in an import * P. 23, above. -24- Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 S-E-C-R-E-T balance. This proposition assumes that relative Soviet prices reflect relative costs and scarcities and that the USSR exports those items with relatively low domestic prices while importing those items with relatively high domestic prices. The failure for such a pattern to emerge may be attributed to one or a combination of the following: (a) Soviet trade decisions are dictated by factors which run counter to rational economic motives, and (b) the prices used for the con- version do not reflect relative cost and scarcities as viewed by the Soviet authorities. The use of unadjusted domestic prices to value Soviet imports and exports, instead of resulting in an import balance, as anticipated from the above, results in an export balance. On the other hand, the use of adjusted domestic prices does result in an import balance of trade as expected. If, therefore, Soviet trade decisions are in accord with rational economic motives, the price base upon which these decisions are made lies between the adjusted and the unadjusted domestic prices. Additional information in the form of official Soviet statements is in keeping with the above hypotheses and seems to indicate that the price base used is nearer to the adjusted than to the unadjusted prices. Soviet spokesmen have indicated that total trade turnover in 1951 was 18 billion rubles and that trade in 1952 with the rest of the Sino-Soviet Bloc accounted for about 80 per- cent of the total turnover. Soviet-Western trade, valued in domestic prices, is 50 percent of the announced total, whereas this trade, valued in adjusted domestic prices, is approximately 24 percent of the announced total. The apparent confirmation of the hypotheses stated above should be taken only as suggestive, in view of the extremely roundabout procedure involved in valuing Soviet-Western trade in rubles. 2. Direct and Indirect Requirements. A glance at Soviet trade with the West shows that Soviet exports consist primarily of agricultural and light industry products, whereas Soviet imports consist primarily of industrial products. It would be expected that the requirements levied upon the Soviet economy by exports would fall, for the most part, on the agricultural and light industry sectors. Conversely, it would be expected that - 25 - Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 if imports were cut off, the requirements levied upon the Soviet economy to replace these imports would fall largely upon the industrial sectors. This conclusion may be demonstrated by studying the direct and indirect impact of trade upon the domestic economy. The methodology employed is to estimate, using the inverse, the direct and indirect requirements levied upon the Soviet economy to produce a bill of goods exported to the West in 1951. Similarly, the direct and indirect requirements also are determined for a bill of goods which represents import replacements: that is, the bill of goods which would have to be produced by the Soviet economy to replace (or substitute for) imports from the West, if these imports were cut off. The bills of goods which represent exports and import replacements are determined as follows: it is assumed that the West reduces its exports to the USSR and its imports from the USSR by $100 million. These reductions are distributed proportionally over the 1951 trade bill. The resulting bills of goods are then revalued in unadjusted Soviet domestic prices (including the turn- over tax). The use of prices including the turnover tax was necessitated by the nature of the prices employed in the con- struction of the original model of the Soviet economy. The hypothetical bills of goods, valued in dollars and rubles, are presented in Table 4* together with the direct and indirect requirements generated by the production of these bills. The direct and indirect requirements levied upon a given sector include not only the output required to meet its direct export (or import replacement) demands but also the additional output which is consumed by other sectors in meeting their requirements. From Table 4+ it may be seen that in order to produce the bill of export goods postulated, output valued at 763 million rubles is required from sector 1, output valued at 38 million rubles is required from sector 2, output valued at 52 million rubles from sector 3, and so on for each of the sectors. * Table T+ follows on P. 27. - 26 - Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093A001000120001-4 ~Nm4~ .~~yyy'jj O~aD cCi ,pp~~Opppp~rl ~~(ppphp wC-~~prnp mtvM~~pp H N 0 0 8 NO . .99.. OO N 80 0-8 s O 8 0 0 0 0 0 8 1 O O O O O O O O O O O O O O O O O O O O O O O O O O O O + NrM-I-ICS-ON rn~~~r. vN.ti Obi 9z9. . . . .Chi . . . 8 ern rl C-O.-I Nr-1 t0 rl N r ii O M NcOMO O rI - ,- N000 Ori ES (p~~yQ~o(~. ~pp~ ~Cpp ~p pp Opp (~ p m U! m t~'10~O.7 V.~ ~SpL`-NN 01OHON.7NpV`p. c0~~ 0H75O~ Nl~f\N ~~NNtiON~m'1~.~1~..3~0 -co,~~ ~cON MrN-I"o CV ri O ~v.WO d (~~pO.~ I ~0 tp NO S 0 P d J A+1 .C11 N N N ~8 N MN#aD~\\~ N~M..7 u0.W NIf. M~ 11 C` .-I y.0 p1 N o -i o rl N M I r \oo 0 0~000800oo88oo0i 0000000000000000000000000000 -i 0O "-N a 0(0'1 ri ~l-..a D"u~.N~OO~~NON-~3'0 8 NNzt 0N\0 rIN -=t N N O O 1-1 ON 0 0 0 0 0 0 0 N H 0 0 O d oo.pp N N N C- Mhoo' ~M O CO pf. O ~I O CO -~' ~4N-7? pp 8 M ..a~W~~ONU. ri O-70wo~~Nti OM.M~D U. o`~N .-m N~Sm co 1~1 + i m' 4 N SU-I m U 7 - In LAID MM C-D M`H-# O1 N 0 4g~+{i, y 000 y A -f N M 1M uI A UI OMH l`- N r1~ N 0 u ac" N co +0 12 q U {. 40 {q+ t0 a o d +~ R1 M q +P 0 m pJ I 'qd W +' o 'd 0 ttl r-I q 0 0 P, m q q P, 411) idN E7 d Gai N O g 3 O O q LO -4~ O 4 4- ~sa~iN m OMoo o+-a~ aHmvrs ms. v+ o y a+ga u u q rl F7 rl U N rl V H +' N O b O DS tyd p~ +1 Ay C O C. p b +~ t{,~ +> ,-U{r31 c}d, E H66 ChG E,-7 i-7 p4 '7O.H 70. fq+H Q QSrU W fr,HU 4 . . . 1n .,.0 . . -CO r . C. O . . . A-; . . . . O . . . . . .. .cp. N M-4 [ H 7HJH r~N NNNNNN Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 4. Conclusions. The analysis of Soviet trade with the West in 1951 indi- cates that if Soviet trade decisions are motivated by economic fac- tors, the price base upon which these decisions are made appears to be comparable with the adjusted domestic prices used above. It thus would appear that Soviet-Western trade is being conducted rationally in terms of the Soviet definition of costs. As a result of the Soviet definition of costs, products of the extractive and light industries are predominant in Soviet exports, and the products of heavy industries are predominant in Soviet imports. This pattern is reflected in the direct and indirect requirements and in the labor requirements generated by the export and import-replacement bills. The USSR exports unskilled and semiskilled agricultural and extractive labor to the West, while importing skilled industrial labor from the West. This has the effect of permitting the USSR to expand its skilled labor force (and the related industrial capacity) without incurring the attendant costs. Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 S-E-C-R-E-T APPENDIX A MATHEMATICAL NOTE An intersectoral model has as its primary function a description of activities within an economy. In addition, with certain assump- tions, the model may also be employed as an analytical or predictive device. The starting point for such use of an intersectoral model is the assumption that the intersectoral transactions are functions of the output of the purchasing sectors. It is possible to represent the accounting for intersectoral transactions by a set of equations, one for each sector of the economy. These equations take the following form: Equation 1: Xl - x12 - xl3 - xlj - ... - Xlm = xie -x21 + X2 -x23 - x2j - ... - X2m = x2e -x31 - x32 + X3- x3j - ... - x3m = X3e . . . ... . ... -xml - xm2 - xm3-... - xmj - ... +Xm = xme in which Xi (i = 1, 2, 3, ..., m) represents the value of the output of the iTH sector net of its sales to itself. xij represents the sale by sector i to sector j (i, j = 1, 2, 3, ..., m, i ~ j) and x1e (i = 1, 2) 3, ... M) represents the sales by sector i to the nonprocessing, or final demand, sector. Equation 1 represents only an accounting descrip- tion of the economy. The assumption that the purchases by a given processing sector are functions of that sector's output may be expressed as xij = fi (Xj) X j (i, j = 1, 2, 3, ... , m, i ~ j). Substituting in Equation 1, we have Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Equation la: Xl - fl (X2) X2 - fl (x3)x3 - ... -fl (Xj)Xj - ... -fl (Xm)Xm = xie - f2 (xl) xl + x2 -(x3)x3- -f2 (Xj)X j - f3 (xl) X1 - f3(X2)X2 + X3-...-f3(Xj)Xj - -f2 (Xm)Xm = x2e -f3 (*m)Xm = X3e + Xm fm (X1)1-fm(X2)X2-fm (X3)x3...-fm (Xj)Xj- ... = Xme The absence of adequate data makes it necessary to restrict the purchase, or input, functions to the following form: fi(Xj) = xij + Xj (i, j = 1, 2, 3, ..., m; i ~ j) That is, the purchases by sector j are assumed to be a constant propor- tion of sector j output (or cost). This is tantamount to saying that all sectors experience constant costs. If fi(Xj) is denoted by aij (i / j), Equation la may be written in the following manner: Equation ib: Xl - al2X2 = al3X3 - aijxj - - a2lXl + X2 - a23X3 - a2jXj - ... - a31X1 - a32X2 + X3 - aijxj - almXm = xie a2mXm = x2e a3mXm = x3e - amlxl - am2X2 - am3X3 - ... - amjXj - ... + Xm = xme The set of equations in Equation lb may be expressed in conventional matrix notation as Equation 2: Equation 2a: X = (I - A)-1 E - 31 - S-E-C-R-E-T Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Here X refers to the diagonal matrix of net vector outputs; (I - A)-l* the inverse, the transpose of which is presented-in Figure 4+ for the current model; and E, the sector of final demands. The mathematical formulation presented above is specifically the model used in this report. In intersectoral accounting and analysis there are many different formulations depending on the purpose of the analysis and empirical content of the accounting system. The tech- nical term for the model used in this research aid is the "static open end quantitative Lnumerair7 current transactions model." * The operation (I - A) results in all the elements in the matrix negative except those along the main diagonal, which in this use have the value of 1. - 35 - Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093A001000120001-4 S-E-C-R-E-T APPENDIX B COMPUTATIONAL NOTE The number of computations required to invert a matrix of the Figure 2 type is n(n2 + n), where n is the number of processing sectors. In the case at hand this means 22,736 computations. A matrix of this size can be computed on desk calculators, but the time required is considerable. It was decided to compute the inverse on a large-scale electronic computer. The Standards Eastern Automatic Computer (SEAC) of the National Bureau of Standards was selected. This machine is an electronic binary digital computer with a memory consisting of cathode and mercury tubes. There are three distinct steps in employing the SEAC. First, the machine program, or method of computation, must be selected. The program employed is conditioned by size and nature of the matrix to be inverted. For the current matrix the power-series method was used. The program is encoded on wire as instructions to the machine for the operations to be performed. The second step is the encoding and recording on wire of the data included in the matrix to be inverted. Actual computation time was only about 15 minutes. The third step is reading the inverted matrix out of the machine. With the SEAC the answer can be read out directly on teletype. The computational method, which is self-checking, precludes com- putational errors. Its limited memory capacity, however, forces the machine to round the data at particular steps of the operation. Inde- pendent checks of the resulting inverse have indicated that this rounding error is negligible. Approved For Release 1999/09/26 : CIA-RDP79-01093A001000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 S-E-C-R-E-T APPENDIX C SOURCE REFERENCES Evaluations, following the classification entry and designated "Eval.," have the following significance: Source of Information Doc. - Documentary 1 - Confirmed by other sources A - Completely reliable 2 - Probably true B - Usually reliable 3 - Possibly true C - Fairly reliable 4 - Doubtful D - Not usually reliable 5 - Probably false E - Not reliable F - Cannot be judged 6 - Cannot be judged "Documentary" refers to original documents of foreign governments and organizations; copies or translations of such documents by a staff officer; or information extracted from such documents by a staff officer, all of which may carry the field evaluation "Documentary." Evaluations not otherwise designated are those appearing on the cited document; those designated "RR" are by the author of this report. No "RR" evaluation is given when the author agrees with the evaluation on the cited document. 1. CIA. CIA/RR PR-112, The Structure of the Soviet Economy, 1 May 55 . S- 2. Ibid., p. 3-9. S. CIA. CIA/RR RA (ORR Project 13.)+), The Role of Interindus- try Studies in Economic Intelligence, 29 Jan 54, p. 2-11. S. 39 - Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 STATSPEC6 if. 5. Ibid. 6. CIA, FDD. Current Digest of the Soviet Press, vol 7, no 33, 28 Sep 55, p. 22. U. tr of Izvestiya, 1 Aug 55, p. 2. U) 7. Treasury, Bureau of the Budget. Capital Requirements for the Expansion of Industrial Capacity, by R.N. Grosse, 30 Nov 53. U. 8. Labor, Bureau of Labor Statistics. Unpublished tabulation. U. 9. CIA. CIA/RR 55, Construction of Soviet Gross National Product Accounts for 1950-55, 19 Jan 55., p. 41. s. RAND Corporation. RM-14 3+3, A Comparison of 1950 Wholesale Prices in Soviet and. American Industry, 1 May 55. U. 10. Labor, Bureau of Labor Statistics. I-0N244, "Electric Light and Power Construction," by D. Siskind, New and Maintenance Construction, Aug 52. U. 11. CIA. CIA RR 54, Postwar Investment in Industry in the USSR, 11 Feb 55, p. 21. S. 12. Ibid., p. 24. S. 13. CIA, EIC. EIC-R-11, The Balance of Payments of the Soviet Bloc and Communist China with the Free World 1947-53, 11 Jul S. 14. CIA. CIA/RR 55 (9, above). RAND Corporation. RM-1443 (9, above). Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 r z /y 1 99 bur mfg " 1 ? ,^. a - ! ?? a .?. $ A ? ! ! A .w. . ? pj ~ ~ ~ s ! w lull 8 .v. " A $ ! . O O) O) O o O M Q) O O N CO N O O .Mi O O O) CO O O O m o o Cl O N CO O O O M M M O O C d? M O O M CO N O O M m O O O O O CO O o C~ dt O o O m 4t O O o o CO O O O N LL~ O O o O O O CO d? o O O O) d? O O O M O) O o 1f d? M O O N N O O O N N O O O M M r O CO M O O .4 O O O) Lo CO O O co W M N O ?~ N O) co O CO m 'n O O d) d? N O N O m O O) co N N o d' C O O N m o O o W CO n O O O m d? O O d? o S W M N O O CO m o O W m O O O .--~ O O O )!) O o O u7 CO o O O W O N O O M O O o N m O O O W 'n O o o CO O O N o O o d? M O O 0 r-1 'n N m O d? N N CO N to O .-- O - o N O m er 'n O O CO 1n d? r' O ,n m M CO O CO m O) O O O 'n d? O O CO N co w O O) o N O O CO N O O O CO uC CO N O of N m O O T N O O N = N o O CO m N O O o N O O CO N o O N N o O N d? O O CO CO N O O CO m o O N O o o ~"' O O O m Q) N O O to CO O O O m o O o M 1n N o O O O) CA O co N C M O er m co M O CO m W O O M M O) ' o co N d' N n O) 1n O CO M o O N CO O m N N N O O O N N O O co M O O CO CO o " O N " CO o O o N O O M M m O O O N ' o O CO m O) O O CO N CO O O O N 'n O O M M O O C O CO O O CO Ln N O o N C' O O O N O O to M N o O m d, O O O m N M o O o N d? u-) O O) d' N O O 'n O N N O N N um CO O o N C 'n '-? C' d O M 'n M 'n O CO m co N O m d' m N O m N O O W o O O CO O N O to d' m O O ?--~ O) . -~ O O O a7 N O O M N N O O m .--~ o O d' O N o O ?"' O O 4 O O N N O O m CO O O m O (= O m N O O CO M O O co O o O m O U o T LLj O c"j U = 2 U Q ~ Z C7 vzi Z p o a w c/) o C7 a N r U O O W O U a O O CD d U c U H O Q Z W :C U U L.! Z 0 Y =O O d ? w J FU-- U = O D ? Z ? O U a ? U _ W Z W C/) Lu U W co D W H CD C:> O W d = p W m Cn J w W Z a, p a ? O_ d W U Z (n O o O U O w -c W z W m m Q J Z Y W d O_ Q J Z LU O ? J ? UO m m J W W Cn D = W J N p O ? H H CD = c~ O O U U J ? C ~'- J W Z Q Q U W_ Q W J CJ a V) Q _U w J Z ? Z ? w H W Z ? CD Q U < W H- H Q W J C7 C7 O J W U S F- W O J Q O U m OO = Z O Z . L.~ m O Z c.D O Z ? J C) C.~ - N M Q cr U U) W CO CO O O . M V '~ 00 D7 O N .--~ N N N M N V N 'r) N cO C ti N OO N J Z W CL CL. W 0 Z 0 Z 0 rVi^ C Z) Q 1 aSP/ n i O~ 1 pro ac~v P ? .c0~S ~S? a o o~ E o m ~c O i O C. 1 C) U ~ . QJ vi O s W . a E u O 0 a) E O C 0 a) E O Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 EMAND, 1951* .00018 .00017 .00054 .00052 .00433 .01599 .01111 .00347 .00092 .00058 .00066 .00206 .00146 .01266 .05272 .01856 .01300 .00233 .00112 .00151 .00512 .00174 .03245 .06430 .02446 .01570 .00470 .00048 .00108 .00213 .01127 .01100 .04344 .02305 .00975 .01262 .00007 .00010 .00027 .00045 .00234 .01225 .00683 .00176 .00107 .00028 .00033 .00082 .00107 .00796 .02335 .00952 .00288 .00277 .00038 .00055 .00233 .00084 .01424 .03663 .01407 .00668 .00415 .00027 .00030 .00092 .00057 .01037 .03066 .01247 .00290 .00416 .00046 .00093 .00195 .00128 .01362 .04510 .02374 .00997 .00386 .00161 .00069 .00266 .00196 .04018 .08880 .02028 .01286 .00938 .00023 .00055 .00245 .00051 .05131 .01149 .00299- .00470 .01458 .00516 .00033 .00130 .00042 .02766 .01696 .00508 .00364 .00180 .00057 .00044 .00245 .00095 .03937 .05765 .01210 .00697 .00897 .00665 .00084 .00454 .00146 .04631 .10809 .03025 .01058 .01055 .00560 .00097 .00560 .00313 .06832 .11048 .01669 .02166 .00832 .01662 .00108 .00456 .00152 .09620 .06254 .01214 .06017 .00872 .00155 .00645 .00897 .00068 .02014 .03356 .00654 .00452 .00457 .00197 .04683 .02324 .00079 .02678 .04046 .00808 .00521 .00700 .01058 .00578 .03476 .00068 .01814 .03646 .00708 .00458 .00409 1.00190 .03875 .01307 .00107 .03081 .05437 .00949 .00721 .00689 .00102 1.00158 .02957 .00041 .01302 .02057 .00439 .00267 .00348 .00186 .01253 1.00211 .00050 .01940 .02580 .00746 .00313 .00517 .00461 .03125 .02187 1.00079 .02058 .03539 .00789 .00571 .00480 .00154 .00090 .03607 .00285 1.01082 .07839 .03007 .02497 .02664 .00127 .00090 .00229 .00357 .01547 1.00604 .00760 .00245 .00224 .00094 .00274 .00719 .00169 .01151 .02746 1.00238 .01366 .01708 .00050 .00305 .00258 .09408 .01139 .01083 .00226 1.00138 .00685 .00004 .00017 .01200 .00004 .00262 .00195 .00084 .00030 1.00017 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4 Ct"n Approved For Release 1999/09/26 : CIA-RDP79-01093AO01000120001-4