Produkční funkce jako nástroj zobrazení ekonomické reality

2021 ◽  
Author(s):  
Jiří Mihola

The monograph develops the theory of production functions and their systematic typology. It looks at the relationship between inputs and outputs as a universal relationship that is used not only in economics but also in other disciplines. In addition to the static production function, special attention is paid to the dynamization of individual quantities and the issue of expressing the effect of changes in these quantities on the change in production. It is explained why in the aggregate production function expressed through aggregate factor input and aggregate factor productivity it is necessary to use a multiplicative relationship, why the multiplicative link is also suitable in terms of total input factor and why the share of weights in labor and capital should be the same. The use of the production function is demonstrated on the development of the economies of the USA, China and India and on the ten largest economies of the world in terms of absolute GDP, on cryptocurrencies and on the so-called farming role.In addition to a comprehensive overview of production functions, the monograph also enriches new ideas that arose during long-term computational and analytical activities of economic and business. Particularly innovative is the generalization of the production function to any system with variable inputs and outputs. The production function can thus be recognized in many identities. The original intention of the research was to examine the intensity of economic development, but it turned out that it is closely related to production functions. The impetus for this research comes from Prof. Ing. František Brabec, DrSc. a genius mathematician, designer, economist and manager, former general director of Škoda in Pilsen and later rector of ČVÚT.The presented typology of production functions is not limited to one area of economics, but goes beyond it. The monograph respects the definition of the static production function as the maximum amount of production that can be produced with a given number of production factors. On this function, which can be effectively displayed using polynomial functions of different orders,significant points can be systematically defined, ie the inflection point, the point of maximum efficiency, the point of maximum profit and the point of maximum production. The purpose is to optimize the number of inserted production factors. The text is preferred the point with the greatest effectiveness. If this quantity does not correspond, for example, to demand, it is possible to choose another technology, which will be reflected in a shift in the static production function. At the same time, the important points of these functions describe the trajectory, which has the nature of a dynamic production function. For a dynamic production function, the crucial question is how the change in individual factors contributes to the overall change in output. If the production function is expressed through inputs and their efficiency, dynamic parameters of extensibility and intensity can be defined, which exactly express the effect of changes in inputs and the effect of changes in efficiency on changes in outputs for all possible situations. Special attention is paid to the aggregate production function. It explains why it should be expressed as the product of the aggregate input factor (TIF) and aggregate factor productivity (TFP), or why the term TIF should be expressed as a weighted product of labor and capital, in which the value of labor and capital weights could be and identical. The monograph here surpasses the traditional additive view of the multi-factor production function by proposing a multiplicative link, which also allows the derivation of growth accounting, but with a new interpretation of weights and (1-), which do not need to be calculated for each subject and each year.The time production function is used to forecast the GDP development of the US, China and India economies until 2030 and 2050, respectively. It is also predicted an increase in the absolute GDP of Indonesia, a stable position of Russia and the loss of the elite position of Japan and Germany.The monograph also deals with the hitherto unresolved question of whether, even in economics, it is also necessary in certain circumstances to take into account a phenomenon called quantization in physics. It turns out that quantization is a common thing in economics, which is documented on specific forms of production functions that respect quantization in economics.The monograph also deals with the relationship between the efficiency of an individual given the use of a certain point on a specific static production function and common efficiency, ie all actors together. These examples assume limited resources. The sum of the outputs of all actors depends on how the actors share these limited resources. It can be expected that there will be at least one method of distribution that will bring the highest sum of outputs (products, crops) of all actors. This result, however, also depends on the shape of the production functions. This is investigated using EDM, i.e.elementary distribution models. EDM for polynomial production functions of the 2nd to 5th order are not yet published in summary. Of the new findings, they are the most interesting. When using two polynomial production functions, the EDM boundary becomes linear if the inflection point is used for both production functions. If we are above the inflection point, the EDM is properly concave. It turned out that the "bending" of the production function in the region of the inflection point can be modeled using a quantity of the order of the respective polynomial. The higher the order of the polynomial, the higher the deflection can be achieved. This proved to be a very important finding in modeling specific production functions. This effect cannot be achieved by combining other parameters.

2011 ◽  
Vol 16 (2) ◽  
pp. 184-203 ◽  
Author(s):  
Alessio Moro

In this paper I show that the intensity at which intermediate goods are used in the production process affects aggregate total factor productivity (TFP). To do this, I construct an input–output model economy in which firms produce gross output by means of a production function in capital, labor, and intermediate goods. This production function is subject, together with the standard neutral technical change, to intermediates-biased technical change. Positive (negative) intermediates-biased technical change implies a decline (increase) in the elasticity of gross output with respect to intermediate goods. In equilibrium, this elasticity appears as an explicit part of TFP in the value added aggregate production function. In particular, when the elasticity of gross output with respect to intermediates increases, aggregate TFP declines. I use the model to quantify the impact of intermediates-biased technical change for measured TFP growth in Italy. The exercise shows that intermediates-biased technical change can account for the productivity slowdown observed in Italy from 1994 to 2004.


Author(s):  
Jesus Felipe ◽  
John McCombie

The aggregate production function, one of the most widely used concepts in macroeconomics, is also the one whose theoretical rationale is perhaps the most suspect. The aggregate production function is one where output has to be a value, rather than a physical, measure, regardless of the precise unit of observation, whether, for example, it is for the firm or an individual industry. The value measure has to be used because of the heterogeneity of output and capital, such as value added or gross output in the case of output. These constant price measures are not physical quantities. This chapter shows that the specifications of all aggregate production functions, using value data, are nothing more than approximations to an accounting identity. After describing the accounting identity and the Cobb-Douglas production function, the chapter demonstrates that the results of the estimation of production functions that find increasing returns to scale and externalities are simply due to misspecification of the underlying identity, and that the estimated biased coefficients may actually be predicted in advance.


2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Serena Brianzoni ◽  
Cristiana Mammana ◽  
Elisabetta Michetti

We study the dynamics shown by the discrete time neoclassical one-sector growth model with differential savings while assuming a nonconcave production function. We prove that complex features exhibited are related both to the structure of the coexixting attractors and to their basins. We also show that complexity emerges if the elasticity of substitution between production factors is low enough and shareholders save more than workers, confirming the results obtained while considering concave production functions.


Author(s):  
Юлия Пиньковецкая

Целью исследования являлась оценка двухфакторной производственной функции, характеризующей взаимосвязь обо-рота микропредприятий от величины заработной платы работников и потока инвестиций в основной капитал. Рас-смотрена производственная функция, аналогичная функции Кобба-Дугласа, без ограничений на сумму степеней при факторах. Исследование базировалось на статистических пространственных данных, использовалась информация по 82 регионам России за 2017 г. Производственная функция представляет собой эффективный инструмент управления. Полученные новые знания имеют научное и практическое значение. The goal of the research was to estimate the two-factor production function, which characterizes the relationship between the microenterprise turnover and the employees rate of wages and the flow of investments into the fixed assets. The research examined a production function similar to that of Cobb-Douglas function, without the restrictions on the sum of degrees under factors. The research was based on statistical spatial data; using the information on 82 regions of Russia for 2017. The production function is an effective management tool. The new knowledge obtained is of scientific and practical im-portance. The methodological approach and tools proposed in the article for evaluating the production functions, describing the set of the microenterprises activities in the regions, can be applied in scientific research on the entrepreneurship issues, as well as in justifying the programs of this economy sector devel-opment at the federal and regional levels. The methodology and tools that were used in the research process can be applied in similar studies in the countries with a significant number of territorial (administrative) units. Further research is related to the evaluation of production functions for a set of microenterprises that are specialized in various types of economic activities, as well as those located in municipalities of specific regions.


Vestnik NSUEM ◽  
2019 ◽  
pp. 130-142
Author(s):  
E. N. Akerman ◽  
A. A. Mikhalchuk ◽  
V. V. Spitsyn ◽  
N. O. Chistyakova

The relevance of the study has been determined by the acceleration of innovation growth, which encourages companies to use imitation strategies in response to disruptive technological changes.The study used the Cobb-Douglas production function to evaluate the effectiveness of the used production factors of Russian IT companies. A high-quality 3-cluster model of IT companies was built, as well as highly significant two-factor production functions of Cobb-Douglas, which made it possible to identify the contribution of the main factors (wage and fixed assets) to the production volume (revenue) for each cluster.


2017 ◽  
Vol 01 (01) ◽  
pp. 1740005 ◽  
Author(s):  
Yong Tao ◽  
Xiangjun Wu

The competitive economy, over a long time scale, would produce a large number of general equilibria, each of which can be regarded as a possible microstate of this economy. Then by the principle of maximum entropy, we can obtain the most probable macrostate which in the case of perfect competition involving a single industry will lead to a Solow-type aggregate production function. By this aggregate production function, one can make clear how labors match firms on the balanced growth path. Here, we prove that when the capital stock of a society arrives at the golden-rule level on the balanced growth path, the social employment will reach the best level at which every firm on average employs an optimal amount of workers.


2020 ◽  
Vol 4 (12) ◽  
pp. 38-42
Author(s):  
N. M. CHAPAEV ◽  

This article assesses the relationship and dependence between the main economic indicators of agricultural enterprises of the Ministry of agriculture of the Republic of Moldova for different years, models of production functions of different types are constructed. The parameters and characteristics for two-factor models expressing the dependence of agricultural production on the number of people employed in agriculture are given.


Author(s):  
Mingliang Zhao ◽  
Fangyi Liu ◽  
Wei Sun ◽  
Xin Tao

Promoting the coordinated development of industrialization and the environment is a goal pursued by all of the countries of the world. Strengthening environmental regulation (ER) and improving green total factor productivity (GTFP) are important means to achieving this goal. However, the relationship between ER and GTFP has been debated in the academic circles, which reflects the complexity of this issue. This paper empirically tested the relationship between ER and GTFP in China by using panel data and a systematic Gaussian Mixed Model (GMM) of 177 cities at the prefecture level. The research shows that the relationship between ER and GTFP is complex, which is reflected in the differences and nonlinearity between cities with different monitoring levels and different economic development levels. (1) The relationship between ER and GTFP is linear and non-linear in different urban groups. A positive linear relationship was found in the urban group with high economic development level, while a U-shaped nonlinear relationship was found in other urban groups. (2) There are differences in the inflection point value and the variable mean of ER in different urban groups, which have different promoting effects on GTFP. In key monitoring cities and low economic development level cities, the mean value of ER had not passed the inflection point, and ER was negatively correlated with GTFP. The mean values of ER variables in the whole sample, the non-key monitoring and the middle economic development level cities had all passed the inflection point, which gradually promoted the improvement of GTFP. (3) Among the control variables of the different city groups, science and technology input and the financial development level mainly had positive effects on GTFP, while foreign direct investment (FDI) and fixed asset investment variables mainly had negative effects.


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