Competitiveness and economic profit analysis of Kazakhstan’s poultry companies

Hájek, Petr; Zhunissova, Gulnar; Oralbaeva, Zhanar; Zhidebekkyzy, Aknur; Baidildina, Adilya

doi:10.14254/2071-8330.2019/12-2/9

Cited by 8 publications

(10 citation statements)

References 9 publications

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“…The (Fresner, 1998;Hájek, 2019) identified CP as a preventive strategy to minimize the impact of production and products on the environment. The principal actors are the companies, which control the production processes.…”

Section: Resultsmentioning

confidence: 99%

Cleaner Production as a Driver of Green Competitiveness

Chygryn

Аrtyukhova

Vasylyna

2020

VSDU

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In the modern condition the cleaner production is a necessary component for achieving sustainable development. Promotion of the company’s green competitiveness impossible without implementation the green technologies and cleaner production. The purpose of the paper is generalizing the main approaches to understanding the cleaner production given the opportunity to emphasize its key elements. Authors underlined the main targets of cleaner production. For promoting better understanding of cleaner production among companies the nine guiding principles were formulated. The main spheres where principles have to work: products and packaging, services, wastes, ecologically incompatible byproducts, energy and materials, technologies, and work practices, work places, security and well-being, communities around work places. They connected with the all stage of production and commerce process. In the paper determined corporate strategies for successful implementation of cleaner production. The key elements of strategies are efficiency and implementation of renewable energy technologies. In the paper authors generalized the main spheres cleaner production. The author emphasizes that the implementation of cleaner production practices nee d a wide understanding of the necessity of their development and providing across the society. Thus, the co-benefits of its promotion are increased productivity, established employer moral and green ethics, improved competitive positioning, enhanced green corporate image and companies’ reputation. Author emphasises that cleaner production promotion has to include activities connected with raising stakeholder’s environmental awareness, compilation and dissemination of up-to-date information on cleaner production practices and green technologies; human resources development; providing demonstration projects in different sub-sectors and locations in the country. Generalizing the scientific background about the perspectives and challenges of cleaner production implementation give the opportunity to formulate the main barriers of cleaner production development.

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Section: Resultsmentioning

confidence: 99%

Cleaner Production as a Driver of Green Competitiveness

Chygryn

Аrtyukhova

Vasylyna

2020

VSDU

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“…The results show that the Czech INFA metrics system can serve as a very useful indicator for competitiveness analysis of Kazakhstan companies. Hájek et al (2019) affirm that there is a different perception of the risk associated with the indebtedness rate in the Czech Republic or Kazakhstan. Methodology Based on the research of Lin and I-Chun (2019) and the fact that they corroborate a Black Swan event during August 2015, we have segregated the explored time period using the following technique: January 2007-July 2015, as a pre-Black Swan event period, and August 2015-December 2019, as a post-Black Swan event period.…”

Section: Introductionmentioning

confidence: 83%

“…Restraint of disposable incomes has placed the country in a state of low quality social protection, and hence the threat posed by collapses in social systems such as health care and pension. Hájek et al (2019) evaluate the competitiveness through bankruptcy and creditworthiness models and compare it to financial conditions of the main competitors at that market. The authors juxtaposed data on selected poultry sector companies operating in Kazakhstan to study their competitiveness, while financial analysis metrics provided the financial performance data.…”

Section: Introductionmentioning

confidence: 99%

Black Swan Event: An Evidence From China’s Economics Efects

Stavrova

Paskaleva

Stoykova

2020

PEB

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The prognosis of upcoming crises and the course of actually understanding them is increasingly becoming a major subject of discussions in pursuit of reliable indicators. The trade war between the United States and China, along with the COVID-19 pandemic are two events that took place in the Chinese economy with the aforementioned characteristics of the Black swan phenomenon, to which this latest professional analysis is devoted. The objective of this research is to examine the response of the Shanghai Stock Exchange Composite (SSEC) index, in addition to its relation with macroeconomic variables contributing towards a possible Black Swan Event. We employ an econometric methodology comprising of a unit root test, descriptive statistics, linear regression and correlation analysis for the period 2007-2019. Our results illustarte that the bubble from 2015, which is classified as a Black Swan event by many researchers, has a negative influence on the SSEC index. We can further deduce that there were some psychological effects on the Chinese stock market that lead to both, positive and negative trends of SSEC indices. The main findings confirmed that the Consumer Price Index, Exchange Rate, Interest Rate, Unemployment, GDP and Trade Balance were significantly elaborative macroeconomic variables, that had a substantial impact on the SSEC index.

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“…Different industry sectors can also perform different values of financial indicators. The industry sensitivity can be proved by leverage (Frank & Goyal, 2009;Oztekin, 2015;Stryckova, 2017), working capital and liquidity (Vlachý, 2018), corporate profitability (Jackson et al, 2018), assets growth, personnel turnover and performance changes (Bilan et al, 2020b), competitiveness and creditworthiness (Hájek et al, 2019). Specific industry branch influences the quality of financial performance estimated (Fairfield, 2009;Lee & Alnahedh, 2016) or quality of corporate bankruptcy prediction (Chava & Jarrow, 2004).…”

Section: Literature Reviewmentioning

confidence: 99%

Influence of age on selected parameters of insolvent companies

Čámská

Klečka

Scholleová

2021

Problems and Perspectives in Management

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It is natural for the market economy that companies are forced to leave the market when they are not able to survive anymore. This paper is focused on the age structure of the companies in default. The age is considered a period between corporate establishment and insolvency declaration. The paper analyzes whether companies, which report financial accounting statements, have different age structure than non-reporting entities. Data sample consists of 212 companies (147 reporting and 65 non-reporting entities). Moreover, the analysis points out if corporate financial standing differ according to the age structure observed. Using descriptive statistics tools, the observed relationship between the company age and the frequency of insolvency cases is expressed. The evaluation of the financial standing is based on a ratio analysis. Indicators such as return on assets, return on sales, debt ratio, cash and non-cash liquidity, and asset turnover are applied. The results show there are not significant differences in the age structure between the reporting and non-reporting enterprises. Values of financial indicators seem to be independent on the age structure. The paper provides explanations and brings a classification of specific differences observed such as a distinction between reasons due to sector specificities and partly due to the specifics of the current business environment in the Czech Republic (monitored period 2014 – first quarter 2019). AcknowledgmentsThe authors are thankful to the Grant Agency of Academic Alliance (renamed the Grant Agency Academia Aurea) No. GAAA 10/2018 “Financial characteristics of enterprise in bankruptcy” for financial support to carry out this research.

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Competitiveness and economic profit analysis of Kazakhstan’s poultry companies

Cited by 8 publications

References 9 publications

Cleaner Production as a Driver of Green Competitiveness

Cleaner Production as a Driver of Green Competitiveness

Black Swan Event: An Evidence From China’s Economics Efects

Influence of age on selected parameters of insolvent companies

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