The aim of the work is to evaluate the financial situation of the selected company, identify weaknesses in this area and based on the analysis to propose measures to improve the financial health of the company.

This diploma thesis analyses company HEUS s.r.o. Offer solution for keep the position of the firm on the market. It is the basic aim in this diploma thesis. In theoretical part of the diploma thesis are description finanacial analysis, mainly elementary method. In practical part I use this method of finanacial analysis to process analysis of company HEUS s.r.o. Final part offer solution for better position company on the market and for better economy of the company.

This thesis aims to evaluate the financial situation in the years 2007-2011. In this thesis methods are applied to external and internal analysis and financial analysis. Based on these methods and obtained results which are designed to be measures that will lead to improve their financial situation.

The aim of my thesis is the financial assessment of selected construction company through financial analysis. The theoretical part includes characterization of construction company, financial statements and a description of the financial analysis and its methods. The practical part evaluates the economical situation of company through financial analysis. The financial analysis is prepared for methods of analysis of summary indicators, horizontal and vertical analysis and analysis of ratiometric indicators.

This diploma thesis deals with the assessment of the financial situation of the selected company NEKR SERVIS s. r. o. in the years from 2010 to 2014. The theoretical part defines the basic terms, methods and indicators. The practical part deals with the external, internal and financial analysis of the selected company. Based on the observed results of these analyses are drawn out proposals and recommendations for the possibleimprovement of the financial situation of the company.

The subject of this master’s thesis is to analyze and evaluate the economic indicators of selected company and comparison of these indicators with the nearest competitors. The thesis is divided into three main sections. First part is theoretical and contains information about used economical and statistical terms. Second part contains of analysis of economic indicators, comparison of actual and predicted values and comparison with the nearest competitors. In order to predict future values of indicators, on selected indicators appropriate regression function has been applied. The last part of thesis contains of program created by using VBA in MS Excel, which is designed to calculate the economic indicators, and the part containing proposals for improving the situation of company.

This master’s thesis deals with the evaluation of the financial situation of DBC AG, spol. s.r.o. and proposals for its improvement in week areas. All analyses are processed using the methods of financial analysis, benchmarking and other relevant methods. Whole analysis is based on data from 2010-2014. The results are the basis for the proposal part of the thesis.

Thesis (M. Sc. Agriculture (Agricultural Economics)) -- University of Limpopo, 2021 / This study investigated the food security indicators in the rural communities of Ba-Phalaborwa Local Municipality of the Limpopo Province. Quantitative data were gathered from five villages in the municipality using the probability proportionate to size. Data were collected from 185 households. The analytical tools that were used in this study include: Descriptive Statistics, Food Security Indicator Measures and the Logistic Regression Model. Food security is a multidimensional concept; thus it is difficult to measure it comprehensively. Hence, three food security indicators measures, namely; the Household Food Insecurity Access Scale (HFIAS), Household Dietary Diversity Score (HDDS) and Coping Strategies Index (CSI) were combined in this study to measure food security in the study. Each indicator measure was used independently. The Logit Regression Model was used to determine the factors affecting the status of household food security. Certain explanatory variables, namely; household size, marital status and receiving government grant, had a negative relationship with the dependent variable. On the other hand, other variables such as educational level, employment status, gender distance to the markets and health status of the household head were positively correlated with the household’s food security status. The study rejected the null hypothesis which stated that socioeconomic factors do not have influence on the households’ food security status in the Ba-Phalaborwa local municipality. Out of the 11 variables, only four variables were significant, with the household size at 10%, educational level at 5%, household monthly food expenditure at 1% and distance to the market at 10%, respectively. Therefore government should direct more focus should on the introduction of feeding schemes in order to reduce the burden on the poor and at the same time, make it easier for young children to attend school to improve their educational statuses. The households in the study area are not food secured because 65.4 % of households could not afford the food that they preferred and were depending on borrowing food from their relatives and creating debts.

As the effects of climate change become increasingly damaging and costly, a public and political consensus is building for planning that will protect private property and public infrastructure. Climate-related planning has primarily focused on mitigation, assessing vulnerability, and building adaptive capacity. Adaptation has not gained substantial ground in the area of implementation. The uncertainty associated with climate change projection and variability has emerged as a dominant barrier to adaptation. However, as knowledge accrues, the global and national science communities have been developing more detailed, fine-scale climate projections. Regional climate assessments are available for the sub-national climate regions in the U.S., and have been created based on the measurement of many components of climate, often referred to as indicators. This thesis evaluates the use of those and other indicators as adaptation decision support tools. Findings suggest that indicators can be effectively integrated into a step-wise, risk-based adaptation planning process to overcome barriers to adaptation, many of which contain concern over climate change uncertainty at their core. The combination of climate science data and information about the local experience of climate change are found to be key to the effective use of indicators in adaptation, as is the direct integration of indicators into the policy-making process. Ideally, these indicators can be used to inform trigger points for phases in a flexible adaptation approach, but more work is needed to develop methods for managing the risks and costs associated with adaptation.

Aim. This study suggests a set of methodologies to combine different indicators of road safety into a single index. The RSDI is a simple and quick composite index, which may become a significant measurement in comparing, ranking and determining road safety levels in different countries and regions worldwide. Design. One particular concern in designing a Road Safety Development Index (RSDI) is to come up with a comprehensive set of exposure and risk indicators which includes as far as possible the main parameters in road safety related to human-vehicle-road and country patterns instead of considering few and isolated indicators such as accident rates. The RSDI gives a broad picture compared to the traditional models in road safety.  Challenges. The differences in definitions, non-collection of data, no reliability of data and underreporting are problems for the construction of RSDI. In addition, the index should be as relevant as possible for different countries of the world, especially in developing countries. Empirical study. This study empirically compares the road safety situation and trends between ten Southeast Asian countries and Sweden for the period 1994- 2003. Methodologies. Eleven indicators are chosen in RSDI, which have been categorised in nine dimensions. Four main approaches (objective and subjective) are used to calculate RSDI and determine which one is the best. One approach uses equal weights for all indicators and countries, whereas the other approaches give different weights depending on the importance of indicators. Findings. The thesis examines the RSDI for the ten ASEAN countries and Sweden in 2003. The results from this study indicate a remarkable difference between ASEAN countries even at the same level of motorisation. Singapore and Brunei seem to have the best RSDI record among the ASEAN countries according to the indicators used, while Laos, Cambodia and Vietnam show lower RSDI records. Conclusions. The RSDI results seem very promising and worth testing further applications with bigger samples of countries and from different parts of the world. / <p>ISRN/Report code: LiU-Tek-Lic 2005:29</p>