Mathematical Methods And Models In Economic Planning Management And Budgeting

This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness. Application areas include: management of development and operation budgets, assessment and management of economic systems using an energy entropy approach, equation of exchange rates and forecasting foreign exchange operations, evaluation of innovative projects, monitoring of governmental programs, risk management of investment processes, decisions on the allocation of resources, and identification of competitive industrial clusters. The proposed methods and models were tested on the example of Kazakhstan’s economy, but the generated solutions will be useful for applications at other levels and in other countries. Regarding your book "Mathematical Methods and Models in Economics", I am impressed because now it is time when "econometrics" is becoming more appreciated by economists and by schools that are the hosts or employers of modern economists. ... Your presented results really impressed me. John F. Nash, Jr., Princeton University, Nobel Memorial Prize in Economic Sciences The book is within my scope of interest because of its novelty and practicality. First, there is a need for realistic modeling of complex systems, both natural and artificial that conclude computer and economic systems. There has been an ongoing effort in developing models dealing with complexity and incomplete knowledge. Consequently, it is clear to recognize the contribution of Mutanov to encapsulate economic modeling with emphasis on budgeting and innovation. Secondly, the method proposed by Mutanov has been verified by applying to the case of the Republic of Kazakhstan, with her vibrant emerging economy. Thirdly, Chapter 5 of the book is of particular interest for the computer technology community because it deals with innovation. In summary, the book of Mutanov should become one of the outstanding recognized pragmatic guides for dealing with innovative systems. Andrzej Rucinski, University of New Hampshire This book is unique in its theoretical findings and practical applicability. The book is an illuminating study based on an applied mathematical model which uses methods such as linear programming and input-output analysis. Moreover, this work demonstrates the author’s great insight and academic brilliance in the fields of finance, technological innovations and marketing vis-à-vis the market economy. From both theoretical and practical standpoint, this work is indeed a great achievement. Yeon Cheon Oh, President of Seoul National University

This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.

This collective monograph contains the results of theoretical, methodological and applied research of representatives of the scientific community of the Omsk branch of the Financial University under the Government of the Russian Federation and the Omsk State Pedagogical University on various management issues in the state and municipal sectors of the economy. A distinctive feature of the monograph is an attempt to assess the conditions and mechanisms for the functioning of key institutions of state and municipal government: public service, state support of small business entities, territorial public self-government, regional economy and management, etc.

C. B. TILANUS, EDITOR This book tries to strengthen the ties between, on the one hand, the business administration and accounting world and, on the other, the operational research and management science world. The readership for which it is intended consists ofthe following categories: managers and professionals in organizational departments of business administration, management science, automatic data processing, etc. ; management and operational research consultants; and students in academic departments of business administration, business economics, operational research, information systems, industrial engineering, etc. The book deals with the quantitative approach. to budgeting problems. Budgeting in this text is defined as the making of a financial, short-term plan for an organization. The budget is financial. Although volumes and prices play their part, the budget is finally expressed in terms of amounts of money thus allowing of the well-known two-way counting and balancing of double bookkeeping. (Whether items appear twice on the assets and liabili ties sides of balances, or are counted twice in the rows and columns of a matrix is immaterial. ) The budget is short-term. It is a detailed, quantitative plan of action in the near future. In this sense, budgeting is opposed to strategic planning which considers the course of action to be taken in the medium and long term. Strategic planning is of a more aggregative, qualita tive nature than is budgeting. The budget is a plan for an organization, and as such it is complete.

Three different lines of approach have contributed to the theory of optimal planning. One approach considers the problem from the view-point of a national government and its adviser, the econometrician planning speci alist. The government can, if this is thought to be desirable, stimulate investment in certain directions and discourage other economic activities. By various fiscal devices, it can influence both the total level and the distribution of investment funds over different sectors of production. Also, in many countries, a public agency plays some kind of coordinat ing role in the formulation of long-term plans for output by the enter prises sector; this may range from administrative direction in so-called centrally planned economies, to persuasion and advice in 'capitalist' economies. Accordingly, the public planner wishes to know what dis tribution of the nation's resources would be 'optimal'. This leads to the construction of various models which may be described under the general heading 'input-output type models'. This type of model has been largely developed by practitioners, among whom Sandee [B2] is probably the most outstanding and the earliest. A later, well-developed example of a model based on this approach is, for example, the Czech model by Cerny et al. [Bl]. A second approach considers the problem from the point of view of the private entrepreneur and his adviser, the manager and financial accountant.