scholarly journals AN ECONOMIC ANALYSIS OF BARLEY PRODUCTION FUNCTIONS IN WASIT PROVINCE FOR 2014

2017 ◽  
Vol 48 (4) ◽  
Author(s):  
AL-ENIZY & AL-KAISY

The production function of the important methods in the analysis in the components of the production process , by it can be identified the increasing in production for a given amount of resources , there for the objective of search analysis economic production functions of barley crop and knowing nature of the relationship between the factors , to fulfill the requirements of the research we are collected questionnaire from 130 farmers from crop farmers in Wasit province . We estimated by using Cobb-Douglas production function production function and restricted Cobb-Douglas. The results showed that the capital is the most influential factor in the production of barley since raised by 1% will increase production by 0.43% in a Cobb-Douglas function because the capital increase means increasing the technology used , and the factors use fall in the second stage and functions are subject to diminishing returns to scale and ealasticity replacement amounting to 0.76 indicates to the inability to intensity labour to the capital account G.Tintner test pointed to the superiority of the Cobb-Douglas unrestricted model . Also estimated the TL production function according to the random border analysis using the Frontier program , and in a way of the greatest possible ML which shows that if we increased employment by 1% , the production will increase by 0.33 and cross elasticity between labour and capital , amounting to 0.16 has shown to replacement relationship the two factors and technical effeciency at the level of the sample averaged 90% and there was no apparent effect of the acquisition . The research recommended encourage farmers to adopt improved varieties and use of resources packages with high productivity and try to stimulate the demand side of attention to livestock.

1989 ◽  
Vol 28 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Ashfaque H. Khan

Production functions have been widely studied in the relevant literature. In this paper, apart from labour and capital, we have used energy as a factor input and calculated the elasticity of substitution between these inputs, measured technical progress, and determined the returns to scale in the manufacturing sector of Pakistan. Since we have more than two factors of production, the standard Cobb· Douglas and CES production functions do not provide satisfactory results. Hence, two·level (nested) CES production function becomes the natural choice for the appropriate technology. Using this technology, we have found low elasticity of substitution between the three factors of production. Furthermore, the manufacturing sector is found to exhibit decreasing returns to scale, having experienced disembodied technical progress at the rate of 3.7 percent per annum.


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.


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.


1974 ◽  
Vol 13 (2) ◽  
pp. 222-226 ◽  
Author(s):  
M. Ghaffar Chaudhry ◽  
A. R. Kemal

In an earlier study [1, pp.407-415] it was assumed that a linear production function would be the best to depict the relationship between wheat production and explanatory variables in the Punjab. After a careful scrutiny, four of the explanatory variables, viz., area under Mexican Wheat varieties, area under local wheat, fertilizer application and rainfall, were employed to explain varia¬tions in wheat production. As this linear relationship gave a good fit, it was claimed that the equations, derived from 1967-68 to 1971-72 output and input data, can be useful in forecasting wheat production in the Punjab for future years well in advance of actual wheat harvests and, in fact, a forecast of wheat production in the Punjab for 1973-74 was published [2, pp. 106-112], based on the findings of that model. Whether the linear production function related the dependent and inde¬pendent variables in the best possible manner was not tested. The results of our analysis in the present paper indicated that the re-specification of the rela¬tionship will be of little use.1 In addition, in an earlier model the rainfall relevant to wheat production was defined as the total rainfall during the months of November-January of each wheat season. Publication of the article con¬taining that model elicited suggestions that use of seven-month rainfall from July to January (instead of three-month rainfall used in the model) might improve the results of the model. Accordingly, it was decided to test that model using


2016 ◽  
Vol 4 (2) ◽  
pp. 173-184 ◽  
Author(s):  
Merter Mert

The purpose of this study is to examine relationship among returns to scale, returns to factors and the shape of the production possibility frontier under Cobb–Douglas production function. The study asks the following question: How can production possibility frontier be drawn (a) if returns to scale are constant, increasing and decreasing and (b) if returns to factors are constant, increasing and decreasing? The main finding of the study is as follows: When (a) returns to factors are constant or increasing or decreasing and (b) returns to scale (economies of scale internal to the firm) are constant or increasing or decreasing, the production possibility frontier can be bowed in or bowed out or be linear under certain conditions.


This paper sets out to identify the best courses open to the building industry and its clients to obtain higher productivity. Although there is common ground that the concept involves the relationship between inputs and outputs, it eludes precise definition. From the standpoint of this paper productivity is taken to mean the optimum use of resources to obtain an acceptable goal, thus avoiding one contentious aspect of productivity, the relative utility of the goals obtained. High productivity is not, of course, an end in itself. It includes wider issues including the value of the output to society, the quality of life of those engaged in the operations involved and of those affected indirectly by the activity or the outcome, or by both. Single-minded pursuit of higher productivity assumes scarce resources or at least an imbalance between the intentions of an organization and practical achievement. Social benefit from higher productivity is obtained when the resources made available by higher productivity are deployed on the next most important activity, or when work is allocated to share the benefits of higher productivity, e.g. by working shorter hours.


2021 ◽  
Author(s):  
Françoise Larbre

Depending on the workers qualification, the use of robots is perceived either as a helpful tool or as a competitor. We analyze the substitution of capital for labor, including the case where the product is entirely made by robots. We use CES production functions and their derived cost functions (the later being surprisingly missing in the literature). We focus on short-run and the case of an elasticity of substitution greater than 1. We highlight a level of product for which the cost is identical regardless of the factor used. As a joint product, we provide a foundation to cost functions exhibiting first increasing and then decreasing returns to scale (a so far missing justification to the usually assumed shape of cost functions).


2016 ◽  
Vol 21 (7) ◽  
pp. 1827-1835
Author(s):  
Andreas Irmen ◽  
Alfred Maußner

We study production functions with capital and labor as arguments that exhibit positive, yet diminishing marginal products and constant returns to scale. We show that such functions satisfy the Inada conditions if (i) both inputs are essential and (ii) an unbounded quantity of either input leads to unbounded output. This allows for an alternative characterization of the neoclassical production function that altogether dispenses with the Inada conditions. Although this proposition generalizes to the case of n > 2 factors of production, its converse does not hold: 2n Inada conditions do not imply that each factor is essential.


2018 ◽  
Vol 10 (2) ◽  
pp. 324-332
Author(s):  
L.Z. Khrushch

In the paper, we investigate two-criterion optimization problem: maximization of one target function and minimization of another target function. To solve the offered two-criterion problem, the method of the main criterion is applied. We consider the problem of production activity of the ecological-economic system with the maximization of the value of the final product as the first target function and the minimization of emissions of polluters into the environment as the second target function. We constructed of two production functions (economic and ecological). To construct the economic production function, we select  maximal producing of the final products in a costing form as the most essential (main) criterion. Also, there is introduced the appropriate data of the criterion level total volume of emissions of polluters into the environment. After this two-criteria problem is reduced to one-criteria problem. For the construction of ecological production function, the main criterion in the problem of the minimal general volume of emissions of polluters into the environment is defined. We use a parameter of the criterion level of the second criterion and obtained one-criterion problem. Therefore, investigation of the appropriate dual problems explicitly provides economic and ecological production functions to the deduced one-criterion problems. These functions in input two-criterion problem give way to optimal manage of ecological-economic system.


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.


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