scholarly journals Classification of Economic Regions with Regards to Selected Factors Characterizing the Construction Industry

2018 ◽  
Author(s):  
Bożena Hoła ◽  
Tomasz Nowobilski
Keyword(s):  
Construction Industry ◽  
Occupational Safety ◽  
Occupational Accidents ◽  
Industry Data ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Production Value ◽  
Economic Regions ◽  
Assembly Production

The article presents the methodology for classifying economic regions with regards to selected factors that characterize a region, such as: the economic structure of the region, and thus the share of individual sectors in the economy; employment; the dynamics of the development of individual sectors expressed as an increase or decrease in production value; the population density in the region and also the level of occupational safety. Cluster analysis, which is a method of multidimensional statistical analysis available in Statistica software, was used to solve the task. The proposed methodology was used to group Polish voivodships with regards to the speed of economic development and occupational safety in the construction industry. Data published by the Central Statistical Office was used for this purpose, such as the value of construction and assembly production, the number of people employed in the construction industry, the population of an individual region and the number of people injured in occupational accidents.

scholarly journals Classification of Polish voivodeships with regards to the accident rate in the construction industry

2018 ◽  
Vol 174 ◽  
pp. 04007 ◽  
Author(s):  
Tomasz Nowobilski ◽  
Irena Bagińska ◽  
Krzysztof Gawron
Keyword(s):  
Cluster Analysis ◽  
Construction Industry ◽  
Occupational Safety ◽  
Statistical Data ◽  
Occupational Accidents ◽  
Accident Rate ◽  
Central Statistical ◽  
Central Statistical Office ◽  
And Cluster Analysis

The article classifies Polish voivodeships into appropriate groups with a similar level of occupational safety in the construction industry. The basis for the adopted classification was statistical data published by the Central Statistical Office regarding population, employment in the construction industry, the value of construction production and the number of occupational accidents. The conducted research allowed a logical and correct, in terms of content, division of the Polish territory to be made, taking into account the aspect of occupational safety in the construction industry. Statistica software and cluster analysis were used to solve the problem.

scholarly journals Calculation of the Population of Construction Scaffoldings Using Neural Networks

2021 ◽  
Vol 11 (17) ◽  
pp. 8211
Author(s):  
Tomasz Nowobilski
Keyword(s):  
Neural Networks ◽  
Construction Industry ◽  
Occupational Safety ◽  
Precise Determination ◽  
Main Element ◽  
Original Research ◽  
Qualitative Variables ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Economic Analyses

Building scaffoldings are temporary structures that are commonly used in the construction industry. A precise determination of the number of building scaffoldings in use is a very complex task. The literature survey showed that there is a lack of scientific studies concerning the estimation of the scaffolding population in the construction industry. This observation gave rise to the need to undertake such research, the aim of which was to develop a model of a neural network set which would in turn enable the number of used building scaffoldings to be estimated. In order to carry out such a research task, an original research methodology was developed, which used the results of empirical research that involved the counting of construction scaffoldings used in selected representative areas of the studied regions of Poland (the research was carried out in the period from 2016 to 2018), and also data taken from a publication of the Central Statistical Office on socio-economic indicators that characterize the analyzed regions (data from 2010 to 2018). The main element of the developed methodology is a set of five MLP neural networks, which was used to predict the number of used construction scaffoldings. The analysis of the sensitivity of the quantitative and qualitative variables of the model showed that they have a significant impact on the final result generated by the networks. The obtained results of the research and analyses showed the size of the population of building scaffoldings used in individual regions of Poland, and also the seasonality of their occurrence. The knowledge obtained on this basis can be used, among others, in economic analyses related to the use of construction scaffolding, as well as in the process of managing occupational safety on scaffoldings. The most important scientific aspect of the article concerns the development of an original methodology for estimating the population of building scaffoldings.

scholarly journals Deagrarianisation of the Economic Structure and the Evolution of Rural Settlement Patterns in Poland

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 523
Author(s):  
Andrzej Rosner ◽  
Monika Wesołowska
Keyword(s):  
Rural Areas ◽  
Settlement Patterns ◽  
Economic Structure ◽  
Rural Settlement ◽  
Spatial Effects ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Second World

Since the Second World War, Poland has been undergoing an intensive process of transformation of the economic structure of rural areas, manifested, among other things, in the change in the occupational make-up of its inhabitants. The development of non-agricultural methods of management in rural areas has led to the emergence of multifunctional rural areas, where the role of agriculture as a source of income for the inhabitants is decreasing. There is a process of deagrarianisation of the economic structure, which has been indicated by many researchers as an unavoidable process, connected with the changes taking place in rural areas. One of the effects of this process are changes in rural settlement patterns. The aim of this article is to present the spatial effects of the deagrarianisation process in the Polish countryside, expressed in the changes in the rural settlement network. The authors used the statistical database of the Central Statistical Office (over 41 thousand records) to draw up the classification of rural areas by the nature of changes in population numbers in the period 1950–2011, which was compared with the research carried out as part of the Monitoring of Rural Development in Poland. The study confirmed that the factor behind the evolution of the rural settlement network is the process of decreasing agricultural demand for labour. As a consequence, there is a polarisation of localities into multifunctional rural localities, mainly headquarter villages and local government offices, and those with a predominantly agricultural function. On a supra-local scale, a process of polarisation of rural areas between a growing suburban population and a reducing peripheral location around large and medium-sized towns has been observed.

‘Classified at random by veritable illiterates’: the taking of the Spanish census of 1920 in Guipúzcoa province

2005 ◽  
Vol 20 (2) ◽  
pp. 287-313 ◽  
Author(s):  
JOHN K. WALTON ◽  
DAVID TIDSWELL
Keyword(s):  
Cultural History ◽  
Demographic Characteristics ◽  
Processing Data ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Definition Of

This article offers an approach through administrative and cultural history to the problems associated with gathering and processing data for the Spanish national census of 1920, and by implication for earlier Spanish censuses. It focuses on the Basque province of Guipúzcoa, making use of correspondence between the central statistical office in Madrid, the provincial jefe de estadística and the localities, and of reports on three problematic towns within the province. The issues that emerge regarding ‘undercounting’, the definition of administrative boundaries and the classification of demographic characteristics are set in the wider context of census-taking practices and problems elsewhere in Spain and in other cultures.

scholarly journals THE ECONOMIC CYCLE IN POLISH CONSTRUCTION

Ekonomika ◽  
2014 ◽  
Vol 93 (1) ◽  
pp. 98-116
Author(s):  
Magdalena Gostkowska-Drzewicka
Keyword(s):  
Construction Industry ◽  
Building Materials ◽  
Construction Materials ◽  
Economic Cycle ◽  
Production Factors ◽  
Central Statistical ◽  
Central Statistical Office ◽  
The Business Cycle ◽  
Construction Services ◽  
Yearly Data

Abstract. The aim of this article is to determine the relation between the phases of the business cycle and changes in prices of factors of construction production. The research covers the years 1994–2012. The dataset applied in the study includes yearly data on prices of the factors of construction production in Poland. All of these data were made available by the SEKOCENBUD. The implementation of the purpose of the study required, firstly, to construct the curve of the economic cycle in the Polish construction industry and, secondly, to determine indicators of changes in the prices of construction production factors and to compare them with the curve reflecting the state of the economic cycle in the construction industry. It was based on the results of a monthly economic situation test, which are published by the Central Statistical Office in Warsaw. A record increase in the prices of production factors in construction was observed during the recovery in 2006–2007. It was caused by the intensified demand for various types of construction services. The deep slump in the construction industry was accompanied by a slight reaction of changes in the prices of construction materials and equipment to the decreasing demand in 2002–2004 and 2008–2012. The results of the study allow to conclude that changes in the prices of production factors in construction are closely related to the situation in the sector, but this relationship is particularly noticeable in the growth phase of the cycle.Key words: economic cycle, building materials and labour, plot of land, real estate

scholarly journals Causes of Occupational Accidents and Injuries in Construction Industry in Jeddah City

2019 ◽  
Vol 28 (1) ◽  
pp. 105-116 ◽  
Author(s):  
Emad Abukhashabah Emad Abukhashabah
Keyword(s):  
Saudi Arabia ◽  
Construction Industry ◽  
Red Sea ◽  
Occupational Safety ◽  
Common Type ◽  
Occupational Accidents ◽  
Electrical Shock ◽  
Jeddah City

This study identified the causes of accidents and injuries in the construction industry among 300 workers in Jeddah City, situated on the coast of the Red Sea of Saudi Arabia. Results from the questionnaire showed that the major cause of accidents and injuries is the lack of awareness about occupational safety and lack of experience among the workers (> 82%); and the most common type of accidents and injuries that occur in the construction industry, are workers falling from a height (>80%), and electrical shock (>60%). Recommendations to prevent accidents and injuries in this industry are provided in this paper.

scholarly journals Occupational Safety Knowledge Management with Performance Indicators as a Strategy for the Reduction of Accidents in the Construction Sector in Mexico

2017 ◽  
Vol 13 (23) ◽  
pp. 342
Author(s):  
Martha Patricia Quintero ◽  
Juan Carlos Pérez ◽  
Gerardo de Jesús López ◽  
Emmanuel Olivera
Keyword(s):  
Knowledge Management ◽  
Construction Industry ◽  
Performance Indicators ◽  
Research Method ◽  
Occupational Safety ◽  
Safety Performance ◽  
Occupational Accidents ◽  
Construction Sector ◽  
Dynamic Work ◽  
Safety Knowledge

The construction industry is one of the key contributors to a country's economy. It accounts for 13.4% of total annual production. The construction sector has specific characteristics such as dynamic work and uncertain conditions; therefore, it tends to cause occupational accidents. Another one of its features is the temporary nature of its projects. This characteristic leads to the loss of learning and disappearance of workers at the end of each project inhibiting workers from gaining experience. The aim of this paper is to propose a model of knowledge management in occupational safety that limits or stops the loss of knowledge, covers the dynamic needs of the construction sector and helps to reduce accidents at work. The present research method is exploratory; it identifies the elements or strategies of the stages of knowledge management that allow the reduction of accidents in the construction sector. As a result of this research, the authors have proposed a model which is able to manage the knowledge generating learning from its elements. Some key safety performance indicators as strategies to reduce occupational accidents are discussed.

scholarly journals Innovation Activity and Competitiveness of Manufacturing Divisions in Poland

2011 ◽  
Vol 14 (1) ◽  
pp. 121-143
Author(s):  
Maria Grzelak
Keyword(s):  
Labour Productivity ◽  
Value Added ◽  
Innovation Activity ◽  
Manufacturing Enterprises ◽  
Central Statistical ◽  
Technological Level ◽  
Central Statistical Office ◽  
Level Of Aggregation ◽  
The Impact

Increasing processes of globalization and integration in the word economy, dynamic market changes and growing social demands cause that particular sections of the national economy and their divisions as well as enterprises operating in them, become more and more often participants of competitive activity. According to M. Porter getting competitive advantage is possible only by means of innovation activity, and the capacity of industry for innovation and increasing technological level decide about competitiveness of the whole economy. That is why in present-day economic researches it is so important to define relations between competitiveness and innovation activity of enterprises. The objective of the article is an attempt to describe quantitatively the impact of outlays on research and development and outlays on innovation on three selected characteristics defining competitiveness of manufacturing enterprises. These characteristics are: gross value added, sold production and labour productivity. In the research were used statistical data of Central Statistical Office showing amounts of particular types of outlays divided into particular manufacturing divisions (section D, the Polish Classification of Activities) in the period 1999-2008. the analysis was conducted by means of panel models, where the basic period is calendar year, and the objects are manufacturing divisions on two-digit level of aggregation.

scholarly journals Klasyfikacja województw polski pod kątem wybranych wskaźników charakteryzujących budownictwo

2018 ◽  
Vol 27 (3) ◽  
pp. 310-318
Author(s):  
Bożena Hoła ◽  
Tomasz Nowobilski
Keyword(s):  
Cluster Analysis ◽  
Construction Industry ◽  
Occupational Accidents ◽  
Assembly Production

The article presents the methodology of classifying Polish voivodships with regards to selected indicators, such as the value of construction and assembly production, the number of people employed in the construction industry, the population of a given voivodship and the number of people injured in occupational accidents. Cluster analysis available in Statistica software was used to solve the problem.

Sign in / Sign up

Export Citation Format

Share Document