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Relevant bibliographies by topics / Economics, Mathematical

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Academic literature on the topic 'Economics, Mathematical'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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Journal articles on the topic "Economics, Mathematical"

1

Tarasov, Vasily E. "Mathematical Economics: Application of Fractional Calculus." Mathematics 8, no. 5 (April 27, 2020): 660. http://dx.doi.org/10.3390/math8050660.

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Becker, Robert A., and Stanley Reiter. "Studies in Mathematical Economics." American Mathematical Monthly 95, no. 3 (March 1988): 268. http://dx.doi.org/10.2307/2323639.

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Pemberton, Malcolm, and Frederick Van Der Ploeg. "Mathematical Methods in Economics." Economic Journal 95, no. 380 (December 1985): 1112. http://dx.doi.org/10.2307/2233280.

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Beaumont, John R., and F. Van Der Ploeg. "Mathematical Methods in Economics." Journal of the Operational Research Society 36, no. 7 (July 1985): 653. http://dx.doi.org/10.2307/2582491.

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Majumdar, Mukul, and Norman Schofield. "Mathematical Methods in Economics." Journal of Business & Economic Statistics 4, no. 2 (April 1986): 276. http://dx.doi.org/10.2307/1391329.

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Manning, Alan, and Frederick van der Ploeg. "Mathematical Methods in Economics." Economica 54, no. 214 (May 1987): 265. http://dx.doi.org/10.2307/2554405.

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Miller, Edward M. "Equivocation in Mathematical Economics." American Economist 37, no. 2 (October 1993): 62–67. http://dx.doi.org/10.1177/056943459303700211.

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Correct mathematical reasoning requires each word (or symbol) to have only one meaning. Because mathematical symbols do not carry with them associated definitions, the error of equivocation is easy to make. “Money” is used with multiple meanings in the standard textbook IS/LM apparatus, and in discussions of the Keynesian paradox of saving, and liquidity trap. Typically, no definition of money is consistent with both a fixed quantity of money and the holding of money for the speculative motive. Such errors can, and should be avoided by explicitly defining terms and stating which units are being used.

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Beaumont, John R. "Mathematical Methods in Economics." Journal of the Operational Research Society 36, no. 7 (July 1985): 653–54. http://dx.doi.org/10.1057/jors.1985.117.

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Guerrini, Luca. "Mathematical modeling in economics." Physics of Life Reviews 9, no. 4 (December 2012): 415–17. http://dx.doi.org/10.1016/j.plrev.2012.08.005.

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Tremayne, A. R., and F. van der Ploeg. "Mathematical Methods in Economics." Journal of the Royal Statistical Society. Series A (General) 148, no. 4 (1985): 395. http://dx.doi.org/10.2307/2981913.

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Dissertations / Theses on the topic "Economics, Mathematical"

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Ninjbat, Uuganbaatar. "Essays on Mathematical Economics." Doctoral thesis, Handelshögskolan i Stockholm, Institutionen för Nationalekonomi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-2233.

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Hartley, Peter M. "Some topics in mathematical finance." Thesis, University of Bath, 2003. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275788.

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Fatouros, Dimitrios Michael. "Mathematical modelling for international tax planning." Thesis, Imperial College London, 1998. http://hdl.handle.net/10044/1/7954.

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Popa, Gabriela. "A theoretical constructivisation of mathematical economics." Thesis, University of Canterbury. Mathematics and Statistics, 2003. http://hdl.handle.net/10092/5487.

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This thesis deals with some problems in mathematical economics, looked at constructively; that is, with intuitionistic logic. In particular, we look at the connection between approximate Pareto optima and approximate equilibria. We then examine the classically vacuous, but constructively nontrivial, problem of locating the exact point where a line segment crosses the boundary of a convex subset of RN. We also prove the pointwise continuity of an associated boundary crossing mapping. Turning to a rather different aspect of the theory, we discuss Ekeland's Theorem giving approximate minima of certain functions, as well as some fundamental notions in related areas of optimisation. The thesis ends with a discussion of some problems associated with the possible constructivisation of McKenzie's proof of the existence of competitive equilibria.

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Partain, Roy Andrew. "Altruism, rationality, and alternative mathematical structures in economics." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/28764.

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GIRIBONE, PIER GIUSEPPE. "Mathematical modeling in Quantitative Finance and Computational Economics." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1046108.

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The first part of my PhD Thesis deals with different Machine Learning techniques mainly applied to solve financial engineering and risk management issues. After a short literary review, every chapter analyzes a particular topic linked to the implementation of these models, showing the most suitable methodologies able to solve it efficiently. The following topics are therefore covered: *) Data Fitting and Regression *) Forecasting *) Classification *) Outlier Detection and Data Quality *) Pricing Every chapter provides the theoretical explanation of the model, the description of the implementation in a numerical computing environment and the solution for real case-studies. Among others, the main technologies discussed in this work are the following: *) Shallow Multi-Layers networks *) Feed-forward and static networks *) Radial Basis Functions (RBF) networks *) Recurrent and Dynamic Neural Networks *) Nonlinear Autoregressive (NAR) networks and Nonlinear Autoregressive networks with exogenous variables (NARX) *) Deep Neural networks *) Convolutional Networks (Conv Net) *) Fuzzy C-Means (FCM) clustering *) Self-Organizing Maps (SOM) and Kohonen networks *) Neural Networks with Circular Neurons *) Auto-Associative Neural Networks (AANN) and Auto-encoders for Nonlinear Principal Component Analysis (NLPCA) The second part of my PhD Thesis deals with the problem of Optimal Control in Quantitative Finance and Labour Economics. Even if the fields of application are hugely different, they share the same mathematical instrument for their solution: the Bellman principle of optimality. After a short literary review that introduces the financial and economic problems solved in this part, the following four chapters show the most popular pricing techniques used to evaluate an option: closed formulas, Partial Differential Equations (PDE), Lattice methods and Stochastic Differential Equations (SDE). Chapter 6 faces the problem of early-exercise in option pricing and shows how to apply the principle of optimality in the models presented in the previous chapters. The following pricing methodologies are covered: *) Stochastic Trees and Lattice models (Cox-Ross-Rubinstein, Tian, Jarrow-Rudd, Drifted CRR, Leisen-Reimer, CRR Trinomial, Adaptive Mesh Method (AMM), Pentanomial and Heptanomial Trees) *) PDE numerical schemes (Finite Difference Method - FDM, Finite Elements Method - FEM and Radial Basis Function - RBF) *) SDE numerical solution (Longstaff-Schwartz Monte Carlo) *) Quasi-closed formulas (Roll-Geske-Whaley, Barone-Adesi-Whaley, Bjerksund- Stensland model) The last two chapters examine two important Labour Economics dynamic problems in the field of Optimal Control Theory: Implicit Contracts and Wage Bargaining. They share the same procedure for the solution which can be synthesized in these steps: *) Infinite-horizon deterministic optimal control problem formulation. The solution for this kind of problem can be found applying the Hamilton – Jacobi – Bellman (HJB) Equation. *) Design of a Markov Decision Chain for the numerical solution of the previous problem. *) Infinite-horizon stochastic optimal control problem formulation. After the validation of the discretization scheme in the deterministic context, the Markov Decision Chain can be extended in order to solve the stochastic version of the problem. In particular, an Ornstein-Uhlenbeck process has been introduced in the model. The third part of my PhD Thesis deals with Forecasting and Risk Management in Energy Markets. The first chapter introduces the two studies presented in this field through a short literary review and the Regulatory framework. The second chapter suggests some quantitative methods with the aim of managing the main risks of Guarantees of Origin (Gos). Given that Gos trading is rather recent, it implements an innovative integrated control system in order to handle market and counterparty risks. The following techniques are covered: *) Market Risk: Historical, parametric and Monte Carlo VaR with a special focus on volatility modeling (historical, implied, GARCH, SABR). *) Liquidity Risk: Bid-Ask spread analysis. *) Counterparty Risk: Probability of Default estimation starting from: listed CDS premium, traded bond prices and statement analysis (KMV model). The third chapter deals with the energy spot prices forecasting problem. The aim of the study is to establish a time-horizon within which it is reasonable to predict prices. The state-of-the-art architectures based on Deep Learning methods are implemented in order to solve this econometric issue. The analyzed techniques are: *) A multi-layered Nonlinear Autoregressive (NAR) network (Endogenous variable: prices). *) A multi-layered Nonlinear Autoregressive with an exogenous variable (NARX) network (Endogenous variable: prices - Exogenous variable: demand). *) A Long Short-Term Memory (LSTM) network with one feature (prices). *) A Long Short-Term Memory (LSTM) network with two features (prices and demand).

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Xotyeni, Zukisa Gqabi. "A study of the existence of equilibrium in mathematical economics." Thesis, Rhodes University, 2008. http://eprints.ru.ac.za/1114/.

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Catney, Denise Catherine. "Mathematical modelling of abbatoir condemnation data." Thesis, Queen's University Belfast, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388044.

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Derakhshan-Nou, Masoud. "Mathematical economics and control theory : studies in policy optimisation." Thesis, SOAS, University of London, 1996. http://eprints.soas.ac.uk/29576/.

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Chapter 1 deals with the origin and limitations of mathematical economics and its implications for economic applications of optimal control theory. Using an historical approach, we have proposed a hypothesis on the origin and limitations of classical and modern mathematical economics. Similar hypotheses proposed by Cournot, Walras, von Neumann-Morgenstern and Debreu are shown not to be convincing. Conditions are established under which applications of mathematical methods, in general, and optimal control theory, in particular, may produce economic results of value. Chapter 2 concerns the formation and development of optimal control applications to economic policy optimisation. It is shown that the application of mathematical control theory (as compared with engineering control) may significantly contribute to mathematical economics (as compared to econometrics). The development of optimal growth theory has been examined as an example. Within the context of economic policy optimisation, a critical examination of the recent developments in macroeconomic modelling, the relationship between theory and observation, rational expectations, the Lucas critique and the problem of time- inconsistency is presented. Chapter 3 provides the first illustration of the main theme of the earlier chapters. Using the generalised Hamiltonian in Pontryagin's maximum principle, as well as using Bellman's dynamic programming, we have obtained a number of new results on the mathematical properties of optimal consumption under liquidity constraints. For example, we have demonstrated how the response of optimal consumption to liquidity constraints is conditioned by the consumer's intertemporal elasticity of substitution. Considered as a mathematical structure, this is shown to capture the effects of the following variables on the optimal consumption path; pure preference parameters, the interest rates variations and the structural parameters prevailing in the credit markets. In chapter 4, the dynamic Leontief model, which according to the conditions established in chapter 1, is one of the most successful applications of mathematical methods to economic policy analysis, is first considered as a control problem. We have then obtained the optimal consumption path for deterministic and stochastic dynamic Leontief models with substitute activities which are in turn formulated in deterministic and stochastic environments. Our solution uses Pontryagin's maximum principle. Bellman's method and Astrom's Lemma on stochastic dynamic programming.

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Oladi, Gholamreza. "Three essays in international economics." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=36784.

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In international economics literature, different variants of the Nash equilibrium have been used to formulate strategic and retaliative behavior. However, the negotiation process underlying the Nash equilibrium does not capture the notion of retaliation properly. We use the "contingent threat situation" (Greenberg, 1990) to reformulate three different international economic environments.
First, a two-country, two-commodity model of trade is considered to reformulate the tariff retaliations. It is known that tariff retaliations lead to a Nash equilibrium outcome, a non-free trade outcome. We show, in the framework of the "theory of social situations", that the free trade equilibrium is supported by a "stable standard of behavior".
Second, the basic two-country, single commodity model is employed to formulate the interactive and retaliatory policies regarding the choice between foreign investment and immigration. Considering three different strategic environments, we investigate the outcomes supported by "stable standards of behavior" under these strategic scenarios. We also provide a critical examination of Jones-Coelho-Easton's proposition (Jones, Coelho, and Easton, 1986).
Third, a simple model of international debt is formulated using a strategic form game. In the game, a country in financial crisis and on the verge of default is requesting a new loan, and a bank, with exposure to the foreign country's debt, contemplates whether it should issue the new loan. We show that "issue a new loan" and "not default", a Pareto optimum pair of strategies, is stable. Interestingly, we get this result by using a non-cooperative negotiation process, offered by the "individual contingent threat situation".

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Books on the topic "Economics, Mathematical"

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Yu, Kam. Mathematical Economics. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27289-0.

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Ambrosetti, Antonio, Franco Gori, and Roberto Lucchetti, eds. Mathematical Economics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0078155.

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Baldani, Jeffrey. Mathematical economics. Fort Worth: Dryden Press, 1996.

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Edward, Tower, ed. Mathematical economics. Durham, N.C: Eno River Press, 1985.

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Graciela, Chichilnisky, ed. Mathematical economics. Cheltenham: Edward Elgar, 1998.

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A, Ambrosetti, Gori Franco 1944-, Lucchetti R. 1950-, and Centro internazionale matematico estivo, eds. Mathematical economics. Berlin: Springer-Verlag, 1988.

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Lancaster, Kelvin. Mathematical economics. New York: Dover Publications, 1987.

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Graciela, Chichilnisky, ed. Mathematical economics. Cheltenham, UK: E. Elgar Pub., 1998.

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Vohra, Rakesh V. Advanced mathematical economics. London: Routledge, 2005.

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Evstigneev, Igor V., Thorsten Hens, and Klaus Reiner Schenk-Hoppé. Mathematical Financial Economics. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16571-4.

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Book chapters on the topic "Economics, Mathematical"

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Hu, Shouchuan, and Nikolas S. Papageorgiou. "Mathematical Economics." In Handbook of Multivalued Analysis, 595–704. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4665-8_6.

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Debreu, Gerard. "Mathematical Economics." In The New Palgrave Dictionary of Economics, 1–8. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_1083-1.

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Debreu, Gerard. "Mathematical Economics." In The New Palgrave Dictionary of Economics, 1–9. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_1083-2.

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Denkowski, Zdzisław, Stanisław Migόrski, and Nikolas S. Papageorgiou. "Mathematical Economics." In An Introduction to Nonlinear Analysis: Applications, 691–795. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-9156-0_5.

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Debreu, Gerard. "Mathematical Economics." In The New Palgrave Dictionary of Economics, 8510–18. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_1083.

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Ekeland, Ivar. "Some variational problems arising from mathematical economics." In Mathematical Economics, 1–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0078156.

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Mas-Colell, Andreu. "Four lectures on the differentiable approach to general equilibrium theory." In Mathematical Economics, 19–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0078157.

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Scheinkman, José A. "Dynamic general equilibrium models — Two examples." In Mathematical Economics, 44–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0078158.

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Zamir, Shmuel. "Topics in noncooperative game theory." In Mathematical Economics, 72–128. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0078159.

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Handwerk, Agnes. "Von Mathematical Economics zu Mathematical Finance." In Von der Mathematisierung in der Ökonomie zur modernen Finanzmathematik, 35–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-62637-5_5.

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Conference papers on the topic "Economics, Mathematical"

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Ulrychová, Eva, and Diana Bílková. "Students’ knowledge of mathematical definitions." In International Days of Statistics and Economics 2019. Libuše Macáková, MELANDRIUM, 2019. http://dx.doi.org/10.18267/pr.2019.los.186.156.

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Mareš, Milan. "Open topics in fuzzy coalitional games with transferable utility." In Game Theory and Mathematical Economics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc71-0-17.

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Matsuhisa, Takashi. "Core equivalence in economy under awareness." In Game Theory and Mathematical Economics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc71-0-18.

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Miękisz, J. "Equilibrium transitions in finite populations of players." In Game Theory and Mathematical Economics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc71-0-19.

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Kruszewski, Robert. "Growth model with migration: structure of optimal saving rates." In Game Theory and Mathematical Economics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc71-0-16.

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Arkit, Aleksandra. "The existence of globally stable price mechanisms for pure exchange models with upper semicontinuous multivalued excess demand." In Game Theory and Mathematical Economics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc71-0-1.

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Gabszewicz, J. J. "Oligopoly equilibrium in pure exchange economies." In Game Theory and Mathematical Economics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc71-0-10.

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Garnaev, A. Y. "A game-theoretical model of competition for staff between two departments." In Game Theory and Mathematical Economics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc71-0-11.

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Golański, Robert. "Bilateral sequential bargaining with perfect information and different protocols." In Game Theory and Mathematical Economics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc71-0-12.

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Horsley, Anthony, and A. J. Wrobel. "Demand continuity and equilibrium in Banach commodity spaces." In Game Theory and Mathematical Economics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc71-0-13.

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Reports on the topic "Economics, Mathematical"

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Hlushak, Oksana M., Svetlana O. Semenyaka, Volodymyr V. Proshkin, Stanislav V. Sapozhnykov, and Oksana S. Lytvyn. The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects). [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3860.

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This article demonstrates that mathematics in the system of higher education has outgrown the status of the general education subject and should become an integral part of the professional training of future bachelors, including economists, on the basis of intersubject connection with special subjects. Such aspects as the importance of improving the scientific and methodological support of mathematical training of students by means of digital technologies are revealed. It is specified that in order to implement the task of qualified training of students learning econometrics and economic and mathematical modeling, it is necessary to use digital technologies in two directions: for the organization of electronic educational space and in the process of solving applied problems at the junction of the branches of economics and mathematics. The advantages of using e-learning courses in the educational process are presented (such as providing individualization of the educational process in accordance with the needs, characteristics and capabilities of students; improving the quality and efficiency of the educational process; ensuring systematic monitoring of the educational quality). The unified structures of “Econometrics”, “Economic and mathematical modeling” based on the Moodle platform are the following ones. The article presents the results of the pedagogical experiment on the attitude of students to the use of e-learning course (ELC) in the educational process of Borys Grinchenko Kyiv University and Alfred Nobel University (Dnipro city). We found that the following metrics need improvement: availability of time-appropriate mathematical materials; individual approach in training; students’ self-expression and the development of their creativity in the e-learning process. The following opportunities are brought to light the possibilities of digital technologies for the construction and research of econometric models (based on the problem of dependence of the level of the Ukrainian population employment). Various stages of building and testing of the econometric model are characterized: identification of variables, specification of the model, parameterization and verification of the statistical significance of the obtained results.

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Lewis, Alain A. Some Aspects of Constructive Mathematics That Are Relevant to the Foundations of Neoclassical Mathematical Economics and the Theory of Games. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada198446.

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Coavas Blanquicet, Sami Gabriel, and Celene Romero Haddad. Theory of demand. Ediciones Universidad Cooperativa de Colombia, March 2023. http://dx.doi.org/10.16925/gcnc.51.

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Due to its simplicity, this lecture note is intended to be a source of introductory reference for students of the faculty of administrative, accounting and related sciences on one of the elements that make up the markets: the demand. It shows the definitions and types of demand, the law of demand, graphic and mathematical analysis. This is done through simple examples that link the theoretical-practical and its impact on markets. The theory of demand serves as a fundamental pillar in the field of Economics, aiming to comprehend and predict consumer behavior patterns. This document introduces into the intricacies of demand theory, shedding light on its key components and the factors that influence consumer preferences and choices.

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Mochrie, Robbie. Use of WebTests in teaching mathematics for economics. Bristol, UK: The Economics Network, March 2001. http://dx.doi.org/10.53593/n615a.

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Roberts, D. L., and D. E. Gottschlich. Mathematical modeling and economic analysis of membrane separation of hydrogen from gasifier synthesis gas. Mathematical modeling topical report. Office of Scientific and Technical Information (OSTI), October 1988. http://dx.doi.org/10.2172/10161735.

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Saptsin, Vladimir, and Володимир Миколайович Соловйов. Relativistic quantum econophysics – new paradigms in complex systems modelling. [б.в.], July 2009. http://dx.doi.org/10.31812/0564/1134.

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This work deals with the new, relativistic direction in quantum econophysics, within the bounds of which a change of the classical paradigms in mathematical modelling of socio-economic system is oﬀered. Classical physics proceeds from the hypothesis that immediate values of all the physical quantities, characterizing system’s state, exist and can be accurately measured in principle. Non-relativistic quantum mechanics does not reject the existence of the immediate values of the classical physical quantities, nevertheless not each of them can be simultaneously measured (the uncertainty principle). Relativistic quantum mechanics rejects the existence of the immediate values of any physical quantity in principle, and consequently the notion of the system state, including the notion of the wave function, which becomes rigorously nondeﬁnable. The task of this work consists in econophysical analysis of the conceptual fundamentals and mathematical apparatus of the classical physics, relativity theory, non-relativistic and relativistic quantum mechanics, subject to the historical, psychological and philosophical aspects and modern state of the socio-economic modeling problem. We have shown that actually and, virtually, a long time ago, new paradigms of modeling were accepted in the quantum theory, within the bounds of which the notion of the physical quantity operator becomes the primary fundamental conception(operator is a mathematical image of the procedure, the action), description of the system dynamics becomes discrete and approximate in its essence, prediction of the future, even in the rough, is actually impossible when setting aside the aftereﬀect i.e. the memory. In consideration of the analysis conducted in the work we suggest new paradigms of the economical-mathematical modeling.

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Xu, Li. Fuzzy multiobjective mathematical programming in economic systems analysis: design and method. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.471.

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Navid, Sara. Evaluating the Flipped Classroom for Teaching Mathematics to Economics Undergraduates. The Economics Network, May 2022. http://dx.doi.org/10.53593/n3532a.

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Elliott, Caroline. Supporting Economics Students’ Transition to University with Mathematics Revision Resources. The Economics Network, April 2024. http://dx.doi.org/10.53593/n3936a.

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Hopper. L30500 Analysis of the Effects of High-Voltage Direct-Current Transmission Systems on Buried Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 2008. http://dx.doi.org/10.55274/r0010196.

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The economics of high voltage direct current for long-distance transmission of electrical energy have been reported as very attractive, to the extent that several projects are in the making. Several reasons other than the savings in transmission costs, for example the exchange of peak power between time zones and seasonal zones, would permit utilities to save on plant investment for generating capacity while maintaining a high level of service. This report summarizes work on the initial phase of a study to determine the effects of high-voltage direct-current (H.V.D.C.) electric transmission lines on buried pipeline systems. Pipeline Research Council International, Inc. initiated this work in response to an anticipated threat posed by the Pacific Northwest-Southwest Intertie H.V.D.C. system now being designed (and other possible H.V.D.C. lines in the future) because of the announced plans to pass direct current through the earth. The objectives of the overall program are:(1) To determine the nature and magnitude of problems that will be created by the earth current from H.V.D.C. systems, and(2) To devise means of protecting pipelines from the effects of such currents. A computer program was written based on a mathematical model of a buried pipeline in the environment created by an H.V.D.C. system. Excellent agreement was obtained between computed soil potential gradients and measurements obtained during a field test of H.V.D.C. in Oregon. Reasonably good agreement was also obtained between measured pipe-to-soil potentials on the Pacific Lighting Gas Supply Company pipeline near Camino, California, and computed values during a field test of H.V.D.C. power transmission.

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