Estimating the Production Function for the Brazilian Industrial Sector: A Bayesian Panel VAR Approach

2009 ◽  
Author(s):  
Roberto I. R. L. Lima Filho
Keyword(s):  
Production Function ◽  
Industrial Sector ◽  
Panel Var

scholarly journals Modeling the Production Function of the Industrial Sector of the Perm Krai Economy

2018 ◽  
Vol 15 (2) ◽  
pp. 213-223
Author(s):  
T. V. Alferova ◽  
◽  
E. A., Tretyakova ◽  
E. B. Alikina ◽  
O. G. Ivanova ◽  
...  
Keyword(s):  
Production Function ◽  
Industrial Sector ◽  
Perm Krai

scholarly journals Advancing the multifactor model of Stochastic Frontier Analysis

2021 ◽  
Vol 3 (4 (111)) ◽  
pp. 58-64
Author(s):  
Arthur Mitsel ◽  
Aliya Alimkhanova ◽  
Marina Grigorieva
Keyword(s):  
Production Function ◽  
Financial Stability ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Industrial Sector ◽  
Economic Science ◽  
Financial Indicators ◽  
Analysis Model ◽  
Multifactor Model ◽  
Frontier Analysis

The concept of efficiency is important in economic science; at present, its role in every sector of the economy is growing. Evaluating an enterprise’s efficiency makes it possible to implement a correct and profitable strategy of resource allocation, which shows its potential level Given an annual increase in the number of bankrupt enterprises, the issue of estimating the efficiency of enterprises is relevant for both their owners and managers, as well as for creditors. There are various methods and models for estimating the performance of enterprises. This work has assessed the efficiency of enterprises in the industrial sector over the period of 2017‒2018. Stochastic Frontier Analysis is based on the stochastic model of production function. The classic SFA method is based on the production function of the company, which relates the volume of output to the volume of resources consumed. At the same time, the SFA model uses several inputs (volumes of resources consumed) and only one output parameter ‒ the volume of production. In order to achieve more precise results, a given model has been modified. The model allows several key financial indicators to be taken into consideration as outputs at the same time, based on which the financial activities of the studied economic entities are assessed. The result of the work involving open sources has revealed how the efficiency of different enterprises in the same industry changes over several years. It is shown that the modified Stochastic Frontier Analysis model could be used to assess financial stability and predict bankruptcy.

Manpower, Labor Absorption, and Employment in Colombia

1976 ◽  
Vol 18 (2) ◽  
pp. 225-236 ◽  
Author(s):  
Larry S. Zudak
Keyword(s):  
Production Function ◽  
Capital Intensity ◽  
Developed Countries ◽  
Industrial Sector ◽  
Cross Sectional ◽  
Factor Endowments ◽  
Fundamental Causes ◽  
Capital Labor Ratio ◽  
Entire Economy ◽  
Unemployment Problem

The unemployment problem in Colombia was recently discussed by Geithman and Landers (1973) in this journal. They argue that one of the fundamental causes of unemployment is a “higher capital-labor ratio” than would otherwise exist, according to factor endowments and the structure of final demand. This is attributed to the dependency of less developed countries (LDCs) on capital from advanced countries (ACs), with laborsaving characteristics suitable for the latter (Geithman and Landers, 1973: 317). Their excessive capital intensity thesis is based on Bruton's cross-sectional statistical study (1967), which made a number of simplified assumptions which should be examined in some detail.Since Bruton and Geithman and Landers use the production function in their analysis, it is necessary to briefly discuss its most important characteristics. The quantities of capital (K), labor (L), and other inputs required by the industrial sector or the entire economy to achieve various levels of output (Q), can be viewed as a generalized production function.

Task and Relationship Conflict at Work

2011 ◽  
Vol 27 (3) ◽  
pp. 171-178 ◽  
Author(s):  
Nale Lehmann-Willenbrock ◽  
Anna Grohmann ◽  
Simone Kauffeld
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Negative Impact ◽  
Longitudinal Design ◽  
Industrial Sector ◽  
Task Conflict ◽  
Relationship Conflict ◽  
Factor Solution ◽  
Convenience Sample ◽  
Confirmatory Factor

The distinction between task and relationship conflict is well established. Based on Jehn’s (1995) intragroup conflict scale, we developed an economic six-item questionnaire for assessing relationship and task conflict in work groups. Confirmatory factor analysis was performed on data from a convenience sample (N = 247), and confirmed the original two-factor solution. The stability of the obtained two-factor solution was supported by confirmatory factor analysis in a longitudinal design with a second sample (N = 431) from the industrial sector. In line with previous research, the two types of conflict were intercorrelated. Moreover, the two subscales showed differential longitudinal effects on team outcomes. Task conflict was beneficial for performance in nonroutine tasks (but not in routine tasks). Relationship conflict had a negative impact on team viability and coworker trust.

Formation of conditions of functioning of management companies of reclamation parks providing highly competitive economic efficiency

2020 ◽  
pp. 30-36
Author(s):  
Ivan Abramenko ◽  
Svetlana Manzhina ◽  
Svetlana Kupriyanova
Keyword(s):  
Russian Federation ◽  
Rapid Development ◽  
Import Substitution ◽  
Industrial Sector ◽  
Federal Programs ◽  
Effective Work ◽  
Industrial Parks ◽  
Level Of Activity ◽  
Decision Making Processes ◽  
The Russian Federation

The aim of the study is to find solutions aimed at the formation of optimal conditions for the creation and functioning of reclamation parks on the territory of existing institutions for reclamation subordinated to the Ministry of agriculture of Russia, through the establishment and justification of the necessary list of functions and powers of their management companies. The comparative analysis of the concept of creation of agricultural parks and the documents regulating functioning of agro-industrial parks is carried out. In addition, the studies were conducted in the context of Federal programs and other legislative acts of the Russian Federation. The analysis of regulatory documentation and scientific developments in the field of agro-industrial sector allowed to compare and make informed decisions on the formation of functions and powers of the management companies of reclamation parks. The formed materials will allow to organize highly effective work of the management companies of recreational parks, by endowing the latter with the necessary functions and powers, without burdening them with unnecessary functions that are not within their competence. Thus formation of functions and powers providing competitive level of activity of reclamation parks needs to be carried out on the basis of functions and powers of the industrial and agroindustrial parks regulated by the current legislation. The formed substantiations will allow to accelerate decision-making processes in the field of powers and functions of managing companies of reclamation parks by legislative and Executive authorities, and thus will contribute to more rapid development of the reclamation complex of the Russian Federation, and as a consequence of the implementation of Federal programs and other legislative acts aimed at the development of agriculture and import substitution in this area.

THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Autonomous Systems ◽  
Essential Element ◽  
Industrial Sector ◽  
Life Cycles ◽  
Multi Agent Systems ◽  
New Paradigm ◽  
Intelligent Machines ◽  
Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

Significance of Experience, Farm Size, Quantity of Propagules and Location f or Seaweed Farmers in the Divided Island of Sebatik

2018 ◽  
Vol 9 (9) ◽  
pp. 825-832
Author(s):  
James M. Alin ◽  
◽  
Datu Razali Datu Eranza ◽  
Arsiah Bahron ◽  
◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Production Function ◽  
Weather Conditions ◽  
Education Level ◽  
Farm Size ◽  
Total Production ◽  
Explanatory Factors ◽  
Douglas Production Function

Seaweed-Kappaphycus-Euchema Cottonii and Denticulum species was first cultivated at Sabah side of Sebatik in 2009. By November 2014, sixty one Sabahan seaweed farmers cultivated 122 ha or 3,050 long lines. Thirty Sabahan seaweed farmers in Kampung Pendekar (3.2 m.t dried) and 31 in Burst Point (12.5 m.t dried) produced 16 metric tonnes of dried seaweed contributed 31% to Tawau’s total production (51 m.t). The remaining 69% were from farmers in Cowie Bay that separates Sebatik from municipality of Tawau. Indonesian in Desa Setabu, Sebatik started in 2008. However, the number of Indonesian seaweed farmers, their cultivated areas and production (as well as quality) in Sebatik increased many times higher and faster than the Sabah side of Sebatik. In 2009 more than 1,401 households in Kabupaten Nunukan (including Sebatik) cultivated over 700 ha and have produced 55,098.95 and 116, 73 m.t dried seaweed in 2010 and 2011 respectively. There is a divergence in productions from farming the sea off the same island under similar weather conditions. Which of the eight explanatory factors were affecting production of seaweeds in Sebatik? Using Cobb Douglas production function, Multiple Regression analysis was conducted on 100 samples (50 Sabahan and 50 Indonesian). Results; Variable significant at α = 0.05% are Experience in farming whereas Farm size; Quantity of propagules and Location — Dummy are the variables significant at α 0.01%. Not significant are variables Fuel; Age; Number of family members involved in farming and Education level.

Energy Saving in Industrial Sector of Economy of Ukraine

2006 ◽  
Vol 2 (2) ◽  
pp. 76-85
Author(s):  
G. G. Pivnyak ◽  
Keyword(s):  
Energy Saving ◽  
Industrial Sector
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