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Wyświetlanie 1-15 z 53
Tytuł:
General bankruptcy prediction models for the Visegrád Group : the stability over time
Autorzy:
Tomczak, Sebastian Klaudiusz
Powiązania:
https://bibliotekanauki.pl/articles/29432382.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
SMEs
discriminant analysis
logit analysis
construction sector
stability of model
Opis:
Managers of enterprises must constantly face the continual changes on the market and fight for survival in a world of high competition. Therefore, it is important to systematically monitor the company’s financial condition. This will help to identify problems and give specific time to take corrective action. Bankruptcy prediction models are usually constructed for local goals. The purpose of the article is to build not only regional but also general discriminant and logit models for the SMEs operating in the construction industry in Visegrád Group countries. A total of 32 unique models were built and verified along with the Altman model for emerging markets. The paper also contributes to the literature by assessing the stability of the constructed models over time, which the models’ authors do not usually measure. The results showed that regional models are characterized by higher accuracy than general ones. However, general models can be adapted to the analyzed Visegrád Group with an accuracy of approximately 90%. The G1 LR model can be considered the best model, as it has relatively high accuracy and over-time stability.
Źródło:
Operations Research and Decisions; 2023, 33, 4; 171--187
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Investigating snowplow-related injury severity along mountainous roadway in Wyoming
Autorzy:
Haq, Muhammad Tahmidul
Reza, Imran
Ksaibati, Khaled
Powiązania:
https://bibliotekanauki.pl/articles/2204253.pdf
Data publikacji:
2023
Wydawca:
Fundacja Centrum Badań Socjologicznych
Tematy:
winter highway maintenance
snowplows
injury severity
mixed logit model
unobserved heterogeneity
Wyoming
environment
Opis:
Snow removal and deicing using snowplow trucks assist transportation agencies to enhance roadway safety and mobility. However, due to slower travel speeds during these operations, motorists often end up in crashes for poor visibility and disturbance of the snow. Despite the risk associated with snowplows, no previous study was found that exclusively investigate the factors associated with injury severity in snowplow-involved crashes. Therefore, this paper presents an extensive exploratory analysis and fills this knowledge gap by identifying the significant contributing factors affecting the occupant injury severity from the aspects of crashes with snowplow involvement. The study utilized eleven years (2010-2020) of historical snowplow-related crash data from Wyoming. Both the binary logit model and mixed binary logit model were developed to investigate the impacts of the various occupant, vehicle, crash, roadway, and environmental characteristics on the corresponding occupant injury severity. As one of the important findings from this research concludes that other vehicle drivers are more responsible than snowplow drivers contributing to more severe injuries in crashes involving snowplows. Recommendations suggested based on the modeling results are expected to help transportation agencies and policymakers take necessary actions in reducing snowplow-involved crashes by targeting appropriate strategies and proper resource allocation.
Źródło:
Journal of Sustainable Development of Transport and Logistics; 2023, 8, 1; 73--88
2520-2979
Pojawia się w:
Journal of Sustainable Development of Transport and Logistics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modal split analysis by best-worst method and multinominal logit model
Autorzy:
Cingel, Michal
Drliciak, Marek
Celko, Jan
Zabovska, Katarína
Powiązania:
https://bibliotekanauki.pl/articles/27314072.pdf
Data publikacji:
2023
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
mobility survey
modal split
multinomial logit model
best worst method
badanie mobilności
podział zadań
wielomianowy model logitowy
najlepsza najgorsza metoda
Opis:
The behavioral features of the population are addressed in transport models by different levels of territorial disaggregation and the creation of demand strata in a territory. The need for input data grows exponentially with the demand for a detailed zonal system of the territory. The basic source is the mobility survey. This article deals with the comparison of the calculation of the probability of choosing a transport mode for trips using the classic multinominal logit model and the best-worst method. We used data from a mobility survey in the Žilina region as a basic sample. The analysis covered 11 districts and their gravity areas. The individual transport relations are evaluated in detail in the analysis. The results confirm the high degree of accuracy of the best-worst method in the calculation of mode choice on a regional scale. Despite the promising results of the agreement in the confrontation with the mobility survey, it is necessary to verify the modeled data with a more detailed area with disaggregation on-demand strata.
Źródło:
Transport Problems; 2023, 18, 1; 55--65
1896-0596
2300-861X
Pojawia się w:
Transport Problems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
What explains the differences in material deprivation between rural and urban areas in Poland before and during the COVID-19 pandemic?
Autorzy:
Dudek, Hanna
Landmesser-Rusek, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/18694599.pdf
Data publikacji:
2023-09-08
Wydawca:
Główny Urząd Statystyczny
Tematy:
rural-urban differences
COVID-19
logit model
Fairlie decomposition
EU-SILC
Opis:
We examined the relationships between the compositional changes in demographic and socioeconomic factors and the changes in the prevalence of material deprivation in rural and urban areas in Poland. Using the European Union Statistics on Income and Living Conditions (EU-SILC) data for 2019–2020, we applied the Fairlie decomposition approach for a logit model. We found that the important characteristics affecting a gap in material deprivation between rural and urban areas are: equivalized income, the level of education, the type of household, and the presence of disabled or unemployed people in the household. A non-significant effect of the pandemic on the material deprivation gap between rural and urban areas was observed.
Źródło:
Statistics in Transition new series; 2023, 24, 4; 37-52
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An analysis of influential factors associated with rural crashes in a developing country: a case study of Iran
Autorzy:
Sheykhfard, Abbas
Haghighi, Farshidreza
Abbasalipoor, Reza
Powiązania:
https://bibliotekanauki.pl/articles/2173931.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
rural roads
severity of crashes
crashes
injury-fatal crashes
logit model
crash data collected
drogi wiejskie
ciężkość wypadków
awarie
wypadki śmiertelne
model logiczny
Opis:
Road traffic deaths continue to rise, reaching 1.35 million in recent years. Road traffic injuries are the eighth leading cause of death for people of all ages. Note that there is a wide difference in the crash rate between developed and developing countries and that developed countries report much lower crash rates than developing and underdeveloped countries. World Health Organization reports that over 80% of fatal road crashes occur in developing countries, while developed countries account for about 7% of the total. The rate of road crashes in developing countries is higher than the global average, despite some measures reducing deaths over the last decade. Numerous studies have been carried out on the safety of urban roads. However, comprehensive research evaluating influential factors associated with rural crashes in developing countries is still neglected. Therefore, it is crucial to understand how factors influence the severity of rural road crashes. In the present study, rural roads in Mazandaran province were considered a case study. The Crash data collected from the Iranian Legal Medicine Organization covers 2018 to 2021, including 2047 rural crashes. Dependent variables were classified as damage crashes and injury-fatal crashes. Besides, independent variables such as driver specifications, crash specifications, environment specifications, traffic specifications, and geometrical road specifications were considered parameters. The logit model data indicate that factors associated with driver and crash specifications influence rural crashes. The type of crashes is the most critical factor influencing the severity of crashes, on which the fatal rate depends. The findings suggested that implementing solutions that minimize the effect of the factors associated with injury and death on rural roads can reduce the severity of crashes on rural roads that share the same safety issues as the case study. Further studies can also be conducted on the safety and mechanics of the vehicle by focusing the research on the types of vehicles and the sources of the damage.
Źródło:
Archives of Transport; 2022, 63, 3; 53--65
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Czynniki warunkujące wybór samochodu jako środka transportu w codziennych podróżach – przykłady miast polskich
Factors Determining the Choice of Car as a Daily Travel Mode in Selected Polish Cities
Autorzy:
Wójcik, Szymon
Powiązania:
https://bibliotekanauki.pl/articles/2143616.pdf
Data publikacji:
2022-11
Wydawca:
Uniwersytet Warszawski. Instytut Ameryk i Europy. Centrum Europejskich Studiów Regionalnych i Lokalnych (EUROREG)
Tematy:
zachowania transportowe
wybór środka transportu
binarny model logitowy
wielopoziomowy model logitowy
travel behaviour
mode choice
binary logit model
multilevel logit mode
Opis:
W przedstawionym badaniu dokonano analizy czynników determinujących wybór samochodu jako środka transportu w codziennych podróżach mieszkańców: Białegostoku, Gdańska, Krakowa i Warszawy. Została ona przeprowadzona na podstawie danych z badań jakości życia zebranych przez Eurostat w 2019 r. Otrzymane rezultaty wskazały na istotność wpływu czynników społeczno-demograficznych na prawdopodobieństwo wyboru samochodu. Ważnymi predyktorami okazały się także opinie mieszkańców w zakresie odczuwanej satysfakcji z jakości powietrza i poziomu hałasu w mieście oraz oceny jakości funkcjonowania transportu publicznego. Wykorzystane w pracy podejście metodyczne pozwoliło na uwzględnienie w modelu homogeniczności preferencji mieszkańców poszczególnych miast odnośnie do wyboru samochodu jako codziennego środka lokomocji.
The study aimed to examine the determinants of car choice in daily trips of the inhabitants of four Polish cities: Białystok, Gdańsk, Kraków, and Warszawa. Data from the Eurostat’s Quality of Life 2019 study was used to achieve this goal. The results of the empirical exercise revealed that the main factors affecting travel mode choice included the respondents’ socio-demographic characteristics. The perceived satisfaction with air quality, the city’s noise level, and public transport quality were found among the important predictors of car choice. The homogeneity of travel mode preferences at the city level was also analysed.
Źródło:
Studia Regionalne i Lokalne; 2022, 3, 89; 49-66
1509-4995
Pojawia się w:
Studia Regionalne i Lokalne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Factors affecting livelihood strategies of smallholder tobacco and non-tobacco farmers and off-farm households benefittin from land reform in Zimbabwe
Autorzy:
Mapfumo, Alexander
Mushunje, Abbyssinia
Powiązania:
https://bibliotekanauki.pl/articles/2141452.pdf
Data publikacji:
2022-07-06
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
livelihood strategies
land reform
multinomial logit model
Manicaland
Zimbabwe
Opis:
The main objective of this paper was to determine the factors that affect the livelihood strategies of resettled smallholder farmers in Zimbabwe. The study was conducted in Manicaland Province in Zimbabwe, and the respondents were stratified into four groups. These were smallholder farmers resettled under the A1 and A2 models, as well as tobacco and non-tobacco smallholder farmers. The two models differ in how they were implemented and supported, which might lead to them having different livelihood strategies. A total of 300 respondents were surveyed, consisting of 114 tobacco and 149 non-tobacco farmers and 24 off-farm and 13 wageearner households in Manicaland province. The study used a Multinomial Logit model to investigate the factors influencing a household’s decision to choose different livelihood strategies. In the model, the dependent variables included four livelihood strategies, while the explanatory variables included various household social-economic and institutional factors. The results obtained from the multinomial logistic regression model established that gender and land size were significant at a level of 1%, and education, household size, access to credit and access to inputs were significant at 5% in the adoption of tobacco farming, access to credit and gender were significant at a 1% level in the adoption of non-tobacco farming, while education was significant at a 10% level in adopting off-farm were found to be significant in determining the adoption of the tobacco farming in the study area up to less than 10% probability level in adopting off-farm activities. Smallholder farmers who did not adopt tobacco farming indicated that limited land size, shortage of labour and access to tobacco inputs were the major impediments to adopting tobacco farming. The government should support the efforts of smallholder farmers to increase their livelihood strategies through unveiling credit lines for farming activities. Access to inputs for smallholder farmers should be made a priority by the government through the provision and fair distribution of adequate agricultural inputs.
Źródło:
Journal of Agribusiness and Rural Development; 2022, 64, 2; 153-160
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mode choice analysis of school trips using random forest technique
Autorzy:
D'Cruz, Jinit J.M.
Alex, Anu P.
Manju, V. S.
Powiązania:
https://bibliotekanauki.pl/articles/2173923.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
city transport
Multinomial Logit model
analysis of the travel model
school trips
peak hour traffic
commuting to schools
transport miejski
analiza trybu przejazdów
przejazdy do szkół
ruch w godzinach szczytu
Opis:
Mode choice analysis of school trips becomes important due to the fact that these trips contribute to the second largest share of peak hour traffic. This scenario is more relevant in India, which has almost 265 million students enrolled in different accredited urban and rural schools of India, from Class I to XII as per the UDISE report of 2019-20. Thus, it becomes necessary to understand what mode of transport will be mostly used for school trips in order to design an efficient transportation system. Modal attributes and socio-economic characteristics are mostly considered as explanatory variables in travel mode choice models. Multinomial Logit (MNL) model is one of the classic models used in the development of mode choice models. These logistic regression models predict outcomes based on a set of independent variables. With the recent advances in machine learning, transportation problems are getting a wide arena of methods and solutions. Among them the method of ensemble learning is finding a prominent place in contemporary modelling. This study explores the potential of using ensembles of random decision trees in mode choice analysis by Random Forest Technique with a comparative analysis on conventional method. It was observed that Random Forest method outperforms MNL method in predicting the mode choice preference of students. The high accuracy of machine learning models is mainly due to its ability to consider complex nonlinear relationship between socio-economic attributes and travel mode choice. These models can learn and identify pattern characteristics extracted from sample data and form adaptive structures through computational process thereby offering insights into the relationships between variables that random utility models cannot recognize. This study considered activity -travel information, personal data and household characteristics of students as attributes for model development and observed that the age of the student and distance of school from home plays a significant role in deciding the mode choice of school trips.
Źródło:
Archives of Transport; 2022, 62, 2; 39--48
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Suitability of Rural Living & Work Facilities, Spatial Behavior of Farmers and Family Income
Zrównoważoność ułatwiania życia i pracy na wsi, przestrzenne wzorce zachowań rolników i dochody ich rodzin
Autorzy:
Mao, Yanling
Li, Na
Powiązania:
https://bibliotekanauki.pl/articles/2073433.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Komitet Człowiek i Środowisko PAN
Tematy:
suitability of living facilities
suitability of work facilities
spatial behavior pattern
multinomial logit model
rural development
family income
zrównoważoność ułatwiania życia
zrównoważoność ułatwiania pracy
przestrzenny wzorzec zachowań
wielomianowy model logitowy
rozwój obszarów miejskich
dochody rodzin
Opis:
In recent years, China has put forward policies to improve rural infrastructure and promote the development of rural industries causing to dramatic transition in the living and employment conditions. Moreover, under the pressure of the high expenditure of living and the difficulty of finding jobs, new changes have taken place in the spatial behavior pattern of farmers’ residence and employment. Based on a field survey of 839 observations in 123 villages in Poyang Lake basin, China, we developed indicators to evaluate the suitability of rural living facilities (SLF) and work facilities (SWF). Multinomial logit regression model was used to measure the relationship between SWF, SLF and the spatial behavior patterns of farmers. The results show that: (1) SWF development in rural areas lags behind SLF; (2) Higher SLF is most distributed in suburban areas ; (3) Higher SWF is mostly distributed in suburban towns and characteristic towns; (4) The effects of SLF and SWF on the spatial behavior patterns of farmers are significantly positive; (5) Farmers in the urban-rural amphibious pattern usually obtain a higher income level, and also bring vitality to the countryside.
W ostatnich latach Chiny przedstawiły politykę poprawy infrastruktury wiejskiej i promowania rozwoju przemysłu wiejskiego, powodując istotne zmiany w warunkach życia i zatrudnienia. Ponadto, pod presją wysokich wydatków na życie i występujących trudności ze znalezieniem pracy, nastąpiły nowe zmiany w przestrzennym wzorcu zachowań rolników w miejscu zamieszkania i pracy. Na podstawie ankiety terenowej obejmującej 839 obserwacji w 123 wioskach w dorzeczu jeziora Poyang w Chinach, opracowaliśmy wskaźniki do oceny przydatności ułatwiania życia na wsi (SLF) i ułatwiania pracy (SWF). Do pomiaru związku między SWF, SLF a przestrzennymi wzorcami zachowań rolników zastosowano wielomianowy model regresji logitowej. Wyniki pokazują, że: (1) rozwój SWF na obszarach wiejskich pozostaje w tyle za SLF; (2) SLF jest najbardziej rozpowszechniony na obszarach podmiejskich, podczas gdy; (3) Wyższe SWF są rozprowadzane głównie w miejscowościach podmiejskich i miejscowościach charakterystycznych; (4) Wpływ SLF i SWF na przestrzenne wzorce zachowań rolników jest znacząco pozytywny; (5) Rolnicy funkcjonujący w układzie miejsko-wiejskim zwykle uzyskują wyższy poziom dochodów, a także wnoszą witalność wsi.
Źródło:
Problemy Ekorozwoju; 2022, 17, 1; 71--83
1895-6912
Pojawia się w:
Problemy Ekorozwoju
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Differences between determinants of men and women monthly wages across fourteen European Union states
Autorzy:
Matuszewska-Janica, Aleksandra
Witkowska, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/22444329.pdf
Data publikacji:
2021
Wydawca:
Instytut Badań Gospodarczych
Tematy:
labour market
wages
wages determinants
differences in men and women wage determinants
ordered logit model
Opis:
Research background: There is a broad discussion in the literature on the situation of men and women in the labour market, especially about the differences in their remuneration. Due to the fact that females constitute a slightly different group of employees, certain factors have different impacts on the level of their remuneration in comparison to male employees. Hence, the question arises which factors cause these differences and how large the dissimilarities are. Purpose of the article: The aim of the presented study is to diagnose and evaluate differences in the impact of designated determinants on the level of monthly wages of women and men in selected European Union member states. The novelty of our approach consists in both comparison of the intensity of influence examined factors to men?s and women?s earnings, and a global approach to the remuneration of male and female employees. Methods: Due to the nature of the dependent variable (remuneration decile, which is a variable measured on an ordinal scale), the ordered logit model is applied in the analysis. The data comes from the Eurostat?s Labour Force Survey. Findings & value added: Presented results indicate that many factors have significantly different intensity of impact on the level of men and women wages. However, significant differences between parameters estimated for both genders are visible for the group of family variables the most often, then for variables describing the condition of work, the human capital variables, and characteristics of the workplace. This paper adds to the empirical literature a new approach to measure the intensity of factors influencing men and women wages. In addition, our investigation is a cross-country analysis.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2021, 16, 3; 503-531
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling the occupational and educational choices of young people in Poland using Bayesian multinomial logit models
Autorzy:
Grzenda, Wioletta
Powiązania:
https://bibliotekanauki.pl/articles/1827554.pdf
Data publikacji:
2021-09-06
Wydawca:
Główny Urząd Statystyczny
Tematy:
young people
labour market
education
multinomial logit model
Bayesian approach
Opis:
Binomial logit models are commonly used in the analysis of the situation of respondents on the labour market. Consequently, in most cases researchers consider two states: of being unemployed and employed or economically inactive and active. This paper focuses on the situation of young people aged 18 to 29 on the labour market in Poland. A major part of the people who comprise the studied group are still in education or combine education with work. Therefore, the participants of the research were divided into the following groups: the employed and not learning, those combining education with work, the unemployed, learners/students only, and those economically inactive and not at school. The model allowing an analysis which includes both the most common division into working and nonworking persons as well as the division proposed in this study is a nested logit model. This model has a hierarchical structure and is a special case of a multinomial logit model. In this paper, all models were estimated within the Bayesian approach. The findings show that continuing education by young people may result from their problems with finding a job; moreover, combining work with education is not the preferred form of professional activity. In addition, the study examines the inequalities observed on the Polish labour market.
Źródło:
Statistics in Transition new series; 2021, 22, 3; 175-191
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact assessment of short-term management measures on travel demand
Autorzy:
D'Cruz, Jinit J.M.
Alex, Anu P.
Manju, V. S.
Peter, Leema
Powiązania:
https://bibliotekanauki.pl/articles/223500.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
public transportation
travel demand management
four stage model
linear regression
modal shift
multinomial logit model
transport publiczny
zarządzanie podróżą
przesunięcie modalne
Opis:
Travel Demand Management (TDM) can be considered as the most viable option to manage the increasing traffic demand by controlling excessive usage of personalized vehicles. TDM provides expanded options to manage existing travel demand by redistributing the demand rather than increasing the supply. To analyze the impact of TDM measures, the existing travel demand of the area should be identified. In order to get quantitative information on the travel demand and the performance of different alternatives or choices of the available transportation system, travel demand model has to be developed. This concept is more useful in developing countries like India, which have limited resources and increasing demands. Transport related issues such as congestion, low service levels and lack of efficient public transportation compels commuters to shift their travel modes to private transport, resulting in unbalanced modal splits. The present study explores the potential to implement travel demand management measures at Kazhakoottam, an IT business hub cum residential area of Thiruvananthapuram city, a medium sized city in India. Travel demand growth at Kazhakoottam is a matter of concern because the traffic is highly concentrated in this area and facility expansion costs are pretty high. A sequential four-stage travel demand model was developed based on a total of 1416 individual household questionnaire responses using the macro simulation software CUBE. Trip generation models were developed using linear regression and mode split was modelled as multinomial logit model in SPSS. The base year traffic flows were estimated and validated with field data. The developed model was then used for improving the road network conditions by suggesting short-term TDM measures. Three TDM scenarios viz; integrating public transit system with feeder mode, carpooling and reducing the distance of bus stops from zone centroids were analysed. The results indicated an increase in public transit ridership and considerable modal shift from private to public/shared transit.
Źródło:
Archives of Transport; 2020, 53, 1; 37-52
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determinants of demand for life insurance: The example of farmers from north-west Poland
Determinanty popytu na ubezpieczenie na życie: przykład rolników z regionu północno-zachodniej Polski
Autorzy:
Kurdyś-Kujawska, Agnieszka
Sompolska-Rzechuła, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/583684.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
life insurance demand
farms
agricultural activity
financial security
logit model
popyt na ubezpieczenie na życie
gospodarstwa rolne
działalność rolnicza
bezpieczeństwo finansowe
model logitowy
Opis:
Life insurance is a voluntary and additional element of protection and financial security for the future of insured and financially dependent persons. This safeguard should be of particular importance in the agricultural sector, which is characterized by a high number of accidents at work causing loss of health and death. The decision to buy life insurance depends largely on the economic and social factors characterizing the farm. The purpose of the article is to identify and evaluate the factors determining the purchase of life insurance by persons conducting agricultural activity. Data was collected in the north-west region of Poland using a survey questionnaire. Identification of the factors affecting the purchase of life insurance was made by means of a two-dimensional relationship analysis and logit regression model. The basis of the model was a set of obtained independent variables, based on a survey conducted in 2018 among randomly selected farm owners or managers. The analysis showed that the decision to buy life insurance depended on the sex of the farm owner or manager, the number of people in the farmer’s household, and possession of production insurance. The presented research results indicate that the probability of buying life insurance decreased when the owner or manager of the farm was a man. On the other hand, when the number of people in the farmer’s household increased and agricultural production was insured, the probability of buying life insurance increased. Research results suggest that having life insurance is associated with high awareness of the threats arising from farming activities and is an expression of ensuring financial security for the farmer’s family members in the future.
Ubezpieczenie na życie jest dobrowolnym i dodatkowym elementem ochrony i zabezpieczenia finansowej przyszłości ubezpieczonego oraz osób od niego zależnych finansowo. Zabezpieczenie to powinno mieć szczególne znaczenie w sektorze rolnym, który charakteryzuje się dużą liczbą wypadków przy pracy, powodujących utratę zdrowia, a nawet życia. Decyzja o zakupie ubezpieczenia na życie zależy od czynników ekonomicznych i społecznych charakteryzujących gospodarstwo rolne. Celem artykułu jest identyfikacja i ocena czynników determinujących zakup ubezpieczenia na życie przez osoby prowadzące działalność rolniczą. Dane zebrano w regionie północno-zachodniej Polski za pomocą kwestionariusza ankiety. Identyfikacji czynników wpływających na zakup ubezpieczenia na życie dokonano za pomocą analizy zależności w ujęciu dwuwymiarowym oraz modelu regresji logitowej. Podstawą modelu był zestaw uzyskanych zmiennych niezależnych, bazujący na badaniu przeprowadzonym w 2018 r. wśród wylosowanych właścicieli lub zarządców gospodarstwa rolnego. Analiza wykazała, że decyzja o zakupie ubezpieczenia na życie zależała od płci właściciela lub zarządzającego gospodarstwem rolnym, liczby osób w gospodarstwie domowym rolnika oraz posiadania ubezpieczenia produkcji. Wyniki wskazują, że prawdopodobieństwo zakupu ubezpieczenia na życie malało, gdy właścicielem lub zarządzającym gospodarstwem rolnym był mężczyzna. Z kolei gdy liczba osób w gospodarstwie domowym rolnika wzrastała oraz produkcja rolna była ubezpieczona, prawdopodobieństwo zakupu ubezpieczenia na życie wzrastało. Rezultaty badań sugerują, że posiadanie ubezpieczenia na życie wiąże się z dużą świadomością zagrożeń wynikających z prowadzenia działalności rolnej oraz jest wyrazem dbałości o zabezpieczenie finansowe członków rodziny rolnika w przyszłości.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2019, 63, 7; 71-81
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Factors determining the purchase of insurance products
Czynniki determinujące zakup produktów ubezpieczeniowych
Autorzy:
Jańska, Anna
Kędra, Arleta
Powiązania:
https://bibliotekanauki.pl/articles/425207.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
insurance
ordered logit model
customers preferences
purchase decisions
Opis:
This paper centres to the presentation of analyzed potential relations between the determinants of purchasing decisions regarding insurance products and socio-demographic variables, i.e. age, gender, place of residence, income, occupational status, and number of people in the household. The authors also examined whether making financial decisions in a household determines purchasing decisions concerning insurance products. The main hypothesis is: from the perspective of an elderly customer, inherent features of an analyzed insurance product are more vital than aspects regarding the sales process. The analysis was conducted using the ordered logit model, where factors determining purchases of insurance products were used as dependent variables.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 1; 19-28
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Logit business failure prediction in V4 countries
Autorzy:
Durica, Marek
Valaskova, Katarina
Janoskova, Katarina
Powiązania:
https://bibliotekanauki.pl/articles/125652.pdf
Data publikacji:
2019
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
logit
business failure
financial ratio
prediction model
V4 countries
funkcja logitowa
niepowodzenie biznesowe
wskaźnik finansowy
model prognostyczny
kraje V4
Opis:
The paper presents the creation of the model that predicts the business failure of companies operating in V4 countries. Based on logistic regression analysis, significant predictors are identified to forecast potential business failure one year in advance. The research is based on the data set of financial indicators of more than 173 000 companies operating in V4 countries for the years 2016 and 2017. A stepwise binary logistic regression approach was used to create a prediction model. Using a classification table and ROC curve, the prediction ability of the final model was analysed. The main result is a model for business failure prediction of companies operating under the economic conditions of V4 countries. Statistically significant financial parameters were identified that reflect the impending failure situation. The developed model achieves a high prediction ability of more than 88%. The research confirms the applicability of the logistic regression approach in business failure prediction. The high predictive ability of the created model is comparable to models created by especially sophisticated artificial intelligence approaches. The created model can be applied in the economies of V4 countries for business failure prediction one year in advance, which is important for companies as well as all stakeholders.
Źródło:
Engineering Management in Production and Services; 2019, 11, 4; 54-64
2543-6597
2543-912X
Pojawia się w:
Engineering Management in Production and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 53

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