scholarly journals Exportación y productividad: evidencia a nivel de empresa del sector químico – farmacéutico / Export and productivity: evidence from chemical – pharmaceutical firms

Ciencia Unemi ◽  
2016 ◽  
Vol 9 (18) ◽  
pp. 56
Author(s):  
Segundo Marvin Camino Mogro

El presente trabajo analiza la producción del sector químico y productos farmacéuticos en España mediante la estimación de una función de producción. Se plantea un marco simple de estimación de funciones de producción utilizando los factores de producción tradicionales (capital, trabajo y materias primas). Los objetivos que se plantean en este estudio son dos. En primer lugar, la estimación de una función de producción para las empresas que forman este sector en España. En segundo lugar, el estudio de la productividad total de los factores (PTF) y en tercer lugar su relación con las exportaciones. Como principales conclusiones se pueden mencionar las siguientes: en primera instancia, el sector químico y productos farmacéuticos en España aporta al valor añadido bruto del total manufacturero español alrededor del 9%. Luego en la estimación de la función de producción se obtienen estimaciones plausibles de las elasticidades de la producción respecto de los diferentes factores de producción. Por último, la PTF presenta un patrón de crecimiento a lo largo del periodo analizado y se obtiene evidencia a favor de una relación positiva entre la PTF y la actividad exportadora. AbstractThis study analyzes the production of the chemical sector and pharmaceutical products in Spain by estimating a production function. It is posed a simple framework for estimating production functions by using the traditional production factors (capital, labor and raw materials). The objectives of this study are two. The first objective is to estimate a production function for the firms belonging to this sector in Spain. The second objective is to analyze the total factor productivity (TFP) and its relationship to exports. As main conclusions, it can be mentioned the following: First, the chemical and pharmaceutical products sector in Spain represents around 9% of gross added value of total manufacturing. Second, when estimating the production function, it is found plausible values for the estimated elasticity of traditional production. Finally, the TFP shows and increasing pattern over the analyzed period and it is found evidence in favor for a positive relationship between TFP and export activity.

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.


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.


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.


Molecules ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 515
Author(s):  
Lady Laura Del Rio Osorio ◽  
Edwin Flórez-López ◽  
Carlos David Grande-Tovar

The food sector includes several large industries such as canned food, pasta, flour, frozen products, and beverages. Those industries transform agricultural raw materials into added-value products. The fruit and vegetable industry is the largest and fastest-growing segment of the world agricultural production market, which commercialize various products such as juices, jams, and dehydrated products, followed by the cereal industry products such as chocolate, beer, and vegetable oils are produced. Similarly, the root and tuber industry produces flours and starches essential for the daily diet due to their high carbohydrate content. However, the processing of these foods generates a large amount of waste several times improperly disposed of in landfills. Due to the increase in the world’s population, the indiscriminate use of natural resources generates waste and food supply limitations due to the scarcity of resources, increasing hunger worldwide. The circular economy offers various tools for raising awareness for the recovery of waste, one of the best alternatives to mitigate the excessive consumption of raw materials and reduce waste. The loss and waste of food as a raw material offers bioactive compounds, enzymes, and nutrients that add value to the food cosmetic and pharmaceutical industries. This paper systematically reviewed literature with different food loss and waste by-products as animal feed, cosmetic, and pharmaceutical products that strongly contribute to the paradigm shift to a circular economy. Additionally, this review compiles studies related to the integral recovery of by-products from the processing of fruits, vegetables, tubers, cereals, and legumes from the food industry, with the potential in SARS-CoV-2 disease and bacterial diseases treatment.


Author(s):  
Andrej Vyacheslavovich Mikheev

The article considers a probabilistic method for determining production functions. The method consists in finding the expected value of the function that determines the economic and mathematical principle of production. It is assumed that the factors of production and/or their specific values included in this function are random variables. It is shown that depending on the principle of production such averaging gives different probabilistic classes of production functions. Functions that are elements of the same class differ from each other in the probability distribution of the relations of production factors to their specific values. Two probabilistic classes of produc-tion functions are constructed. The first class is generated by the Leontief production principle, the second – by generalization of this principle for the case of partially or completely fungible factors of production. There are established the laws of probability distribution and the conditions, under which the linear combination of the AK-model and the Cobb-Douglas production function, as well as the CES production function, are elements of the class of Leontief production functions. It is shown that the linear production function belongs to the class of generalized Leontief production functions. The probability density functions of the products number for these two classes of pro-duction functions are found.


2019 ◽  
Vol 3 (1) ◽  
pp. 38-50
Author(s):  
Bijan Bidabad ◽  
Mahshid Sherafati ◽  
Roohollah Mohammadi

In this paper, Leontief linear production functions with one product, and one activity are used to derive the production function of Abyek Cement Factory. The mathematical closed form of production function and also, profit, cost, and demand functions for production factors are obtained for the cited factory. We tried to calculate Operational Production Function of Abyek Cement Factory. It was realized that Leontief linear production function is applicable, and its mathematical form can properly express the economic structure of production in a cement factory. The efficient production function for this factory is also derived in this research. This function exhibits the costs incurred due to the inefficient production of the factory during different years. According to the findings, it was concluded that if the Abyek Cement Factory produces efficiently through employing optimal amounts of factors of production, it can reduce costs by 21 to 52 percent without any change in production level. Calculations were done for both short-term and long-term periods. JEL: D22, L11, L61


2020 ◽  
Vol 3 (2) ◽  
pp. 1-10
Author(s):  
Rully Wurarah ◽  
Sarce B. Awom

Special Economic Zones (SEZ) are one of the drivers of economic activity supported by various investment activities. The development of Sorong City SEZ is marked by the increasing interest of investors in developing their businesses, both in the industrial sector which has an impact on the formation of added value in the form of increased income and output of the GRDP, as well as in other economic sectors. The analysis of the data collected was done descriptively and tabulated to see changes in income over the past 5 years. The results obtained indicate that there has been an increase in income planning in each region (Sorong Regency, Raja Ampat Regency and Sorong City). Sorong City per capita income which is more dominant shows that the added value of the service sector is more competitive compared to other sectors. The development of Sosong City as a central KEK has encouraged the development of Sorong Regency and Raja Ampat Regency, so that it is important to note that the two regencies must be able to encourage the production factors which become inputs to the development of Sorong City. An important factor that must be considered in the development of the SEZ is the increase in population capacity as a factor of production and the development of home industries that utilize local raw materials to support the leading sectors in each region of the SEZ, so as to spur an increase in public income.


2020 ◽  
Author(s):  
Ömer ÖNALAN ◽  
Hülya BAŞEĞMEZ

Abstract In this paper, we investigate the effect on economic growth (GDP) for China’s economy with capital, labor and energy input factors by using CES production function and Translog production function. The empirical findings of the study showed that CES, consisting of capital and labor factors, is less efficient than the Translog function consisting of capital, labor and energy input factors for GDP estimation.The Ridge regression method is used to the parameter estimation of Translog production function using historical data because there is collinearity between variables. Then, based on the fitted Translog production model including capital, labor and energy input factors, the results of the output elasticities for each of the factors and the substitution elasticities between input factors have been dynamically estimated. To predict the future economic growth of the China economy, the inputs of Translog production model are predicted by using Holt-Winter’s method. The elasticities of the output of all input factors are positive. According to degrees of the effect on GDP, we can list the factors as labor, capital and energy, respectively. This situation represents the China economy is labor and capital intensive.


2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Darfizzi Derawi ◽  
Bashar Mudhaffar Abdullah ◽  
Hasniza Zaman Huri ◽  
Rahimi M. Yusop ◽  
Jumat Salimon ◽  
...  

Palm olein (POo) is widely produced as edible oil in tropical countries. POois considered as renewable raw material for the new industrial and pharmaceutical products synthesis based on its characterization. Palm olein was good on its viscosity index, oxidative stability, and flash and fire point. POocontained unsaturated triacylglycerols (TAGs): POO (33.3%); POP (29.6%) which plays an important role in chemical modification process to produce new industrial products. The double bond was detected on1H-NMR (5.3 ppm) and13C-NMR (130 ppm) spectra. The chemical compositions of POowere tested by using high performance liquid chromatography (HPLC) and gas chromatography (GC) techniques. This unsaturated oil is potentially to be used as renewable raw materials in chemical modification process to synthesise polyols, polyurethane, and biolubricant for industrial and pharmaceutical products application.


2020 ◽  
pp. 77-87
Author(s):  
Ivan I. Lishtvan ◽  
Boris V. Kurzo ◽  
Oleg M. Gaidukevich ◽  
Alexandr I. Sorokin

The results of the study of the resource potential of Lelchitsky and adjacent regions are presented. It is shown that the raw materials for the production of crushed stone and natural stone in the amount of 1 million m3 is actively extracted in the region with the prospect of volume increasing up to 10 million m3. In addition, peat and sapropel are mined for the production of organic fertilizers, feed additives and drilling fluids. Brown coal and bentonite clay deposits are promising for mining. Peat, sapropel and brown coal should be considered to be raw materials for complex deep processing with the release of more products and materials with high added value. The obtained results allow to conclude that the development of Lelchitsky region and the economic feasibility of building Polesie section of the railway is possible only through integrated development and the most complete use of the entire resource base of the region.


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