scholarly journals Cost Drivers for Food Retailers in Developed and Emerging Markets

2018 ◽  
Vol 11 (6) ◽  
pp. 100-111
Author(s):  
V. B. Frolova ◽  
T. F. Khan
Keyword(s):  
Regression Analysis ◽  
Emerging Markets ◽  
Emerging Market ◽  
Cost Driver ◽  
Cost Drivers ◽  
Developed Markets ◽  
Food Retailers ◽  
The Cost ◽  
Cost Factors ◽  
Financial Result

The subject of research is a set of methodological and practical aspects of assessing the cost factors of food companies. The study of the above factors is becoming relevant under the current conditions of environment instability and the necessity to stimulate investment, given the low elasticity of demand for products in this sector. The purpose of the research was to confirm the hypothesis of a variety of cost drivers that form the financial result of companies in a developed and emerging markets by an example of 39 food retailers in an emerging market and 48 companies in developed markets based on a system approach and the comparison method using elements of factor and correlationand-regression analysis. The research findings obtained are as follows: the choice of indicators for the regression analysis of cost factors mostly of a multiplicative type is substantiated; the research was carried out using the indicator of financial result less the tangible assets depreciation; to clarify the results of the research, the elements of the comparative analysis were applied, with the companies classified into four groups where Lenta and X5 were in the group of the most efficient companies of the first quantile, and Dixie fell into the group of the fourth quantile companies that had difficulty in generating their own funds; the cost drivers of food retailers in emerging and developed markets were identified. It is concluded that the cost driver of food retailers in developed markets is profitability of sales, and in emerging markets it is the share of capital inputs in sales revenues. It has been established that the growth rate of consumer consumption plays a key role in the retail market of all countries. At the same time, there is a market tendency to oust small companies by large players whose assets have a higher level of investment demand. The novelty of the research lies in using by the authors the EBITA profitability indicator in the regression model, where EBITA is the profit before tax, interest and intangible assets depreciation.

scholarly journals An Analysis and Comparison of Multi-Factor Asset Pricing Model Performance during Pandemic Situations in Developed and Emerging Markets

Mathematics ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 142
Author(s):  
Konstantin B. Kostin ◽  
Philippe Runge ◽  
Michel Charifzadeh
Keyword(s):  
Emerging Markets ◽  
Factor Model ◽  
Five Factor Model ◽  
Emerging Market ◽  
Model Performance ◽  
Research Area ◽  
Emerging Countries ◽  
Developed Markets ◽  
The Cost ◽  
Three Factor

This study empirically analyzes and compares return data from developed and emerging market data based on the Fama French five-factor model and compares it to previous results from the Fama French three-factor model by Kostin, Runge and Adams (2021). It researches whether the addition of the profitability and investment pattern factors show superior results in the assessment of emerging markets during the COVID-19 pandemic compared to developed markets. We use panel data covering eight indices of developed and emerging countries as well as a selection of eight companies from these markets, covering a period from 2000 to 2020. Our findings suggest that emerging markets do not generally outperform developed markets. The results underscore the need to reconsider the assumption that adding more factors to regression models automatically yields results that are more reliable. Our study contributes to the extant literature by broadening this research area. It is the first study to compare the performance of the Fama French three-factor model and the Fama French five-factor model in the cost of equity calculation for developed and emerging countries during the COVID-19 pandemic and other crisis events of the past two decades.

Consumer Behavior in Emerging Markets

2018 ◽  
pp. 218-240 ◽  
Author(s):  
Raquel Castaño ◽  
David Flores
Keyword(s):  
Consumer Behavior ◽  
Emerging Markets ◽  
Emerging Market ◽  
High Income ◽  
Future Research ◽  
Psychological Processes ◽  
Developed Markets ◽  
Contextual Characteristics ◽  
Initial Framework

Emerging markets are substantially different from markets in high-income, industrialized societies. While many aspects of consumer behavior are the result of inherent psychological processes and are, thus, generalizable across countries and cultures, the specific contextual characteristics of emerging markets can significantly influence other aspects of consumer behavior. In this chapter, we explore the behavior of emerging market consumers. This chapter reviews the existing literature and proposes an initial framework delineating the main differences between emerging markets and developed markets consumers that describe how consumers in these societies recognize a need for, select, evaluate, buy, and use products. The chapter discusses the issues and contributions of the research on emerging consumers and presents implications of extant research for international managers. Finally, the chapter elaborates on an agenda for future research in this area.

Intellectual capital and bank productivity in emerging markets: evidence from Ghana

2016 ◽  
Vol 54 (3) ◽  
Author(s):  
Abdul Latif Alhassan ◽  
Nicholas Asare
Keyword(s):  
Regression Analysis ◽  
Emerging Markets ◽  
Intellectual Capital ◽  
Productivity Growth ◽  
Design Methodology ◽  
Emerging Market ◽  
Value Added ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Practical Implications

Purpose This paper examines the effect of intellectual capital on bank productivity in an emerging market in Africa. Design/methodology/approach The Malmquist Productivity Index is employed to estimate productivity growth of 18 banks in Ghana from 2003 to 2011 while the Value Added Intellectual Coefficient is used to measure bank intellectual capital performance. The panel-corrected standard errors estimation technique is used to estimate a panel regression model with Malmquist Productivity Index as the dependent variable. Bank market concentration and bank size are controlled for in the regression analysis. Findings We find productivity growth to be largely driven by efficiency changes compared to technological changes. The results from the regression analysis indicate that Value Added Intellectual Coefficient has a positive effect on the productivity of banks in Ghana. We also find human capital efficiency and capital employed efficiency as the components of Value Added Intellectual Coefficient that drive productivity growth in the banking industry. Bank size and industry concentration are also identified as significant drivers of productivity in the market. Practical implications The study’s findings support investments in intellectual capital as a means of improving the performance of banks in emerging markets Originality/value To the best of our knowledge, this is the first study to empirically examine the relationship between intellectual capital and productivity in an emerging banking market in Africa.

scholarly journals Study on Key Cost Drivers of Prefabricated Buildings Based on System Dynamics

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Na Lou ◽  
Jingjuan Guo
Keyword(s):  
Cost Control ◽  
Rapid Development ◽  
Construction Cost ◽  
Cost Driver ◽  
Systematic Research ◽  
Cost Drivers ◽  
Building Cost ◽  
Cost Constraints ◽  
The Cost ◽  
Prefabricated Building

The prefabricated building as a major initiative has been put forward by China in recent years to promote the transformation and upgrading of the construction industry, but its rapid development also faces high cost constraints. Therefore, it is necessary and urgent to study the key cost drivers and cost control paths of prefabricated buildings. Most of the current research focuses on the construction cost of prefabricated building as a static object. This article, on the other hand, regards the construction cost of prefabricated building as a dynamic formation process and conducts systematic research from product systems, technical systems, construction processes, and management modes. The influence factors of prefabricated building cost are defined and screened with the help of HSM and previous research results. A cause-and-effect model and cost control model of prefabricated building cost driver are established. Based on the model test of the actual project, the cost generation of prefabricated buildings is simulated. Through sensitivity analysis, key cost drivers of prefabricated building are identified and ranked as degree of design standardization, unit price, prefabrication rate, information technology level, transportation mode, labor level, machinery level, transportation distance, etc. Accordingly, corresponding strategies are proposed for the cost control of prefabricated buildings.

Comparative analyses of mean-variance and mean-semivariance approaches on global and local single factor market model for developed and emerging markets

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mehmet Emin Yildiz ◽  
Yaman Omer Erzurumlu ◽  
Bora Kurtulus
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Risk Measures ◽  
Emerging Market ◽  
Cost Of Equity ◽  
Content Type ◽  
The Cost ◽  
Global And Local ◽  
Insight Into ◽  
Better Than

PurposeThe beta coefficient used for the cost of equity calculation is at the heart of the valuation process. This study conducts comparative analyses of the classical capital asset pricing model (CAPM) and downside CAPM risk parameters to gain further insight into which risk parameter leads to better performing risk measures at explaining stock returns.Design/methodology/approachThe study conducts a comparative analysis of 16 risk measures at explaining the stock returns of 4531 companies of 20 developed and 25 emerging market index for 2000–2018. The analyses are conducted using both the global and local indices and both USD and local currency returns. Calculated risk measures are analyzed in a panel data setup using a univariate model. Results are investigated in country-specific and model-specific subsets.FindingsThe results show that (1) downside betas are better than CAPM betas at explaining the stock returns, (2) both risk measure groups perform better for emerging markets, (3) global downside beta model performs better than global beta model, implying the existence of the contagion effect, (4) high significance levels of total risk and unsystematic risk measures further support the shortfall of CAPM betas and (5) higher correlation of markets after negative shocks such as pandemics puts global CAPM based downside beta to a more reliable position.Research limitations/implicationsThe data are limited to the index securities as beta could be time varying.Practical implicationsResults overall provide insight into the cost of equity calculation and emerging market assets valuation.Originality/valueThe framework and methodology enable us to compare and contrast CAPM and downside-CAPM risk measures at the firm level, at the global/local level and in terms of the level of market development.

Survey of Private Sector Trade Credit Developments

Policy Papers ◽  
2009 ◽  
Vol 09 ◽  
Author(s):  
Keyword(s):  
Private Sector ◽  
Emerging Markets ◽  
Trade Credit ◽  
Emerging Market ◽  
Advanced Country ◽  
Trade Finance ◽  
Structural Differences ◽  
The Cost

In response to the dearth of information on trade finance, the Fund has undertaken a survey of major advanced country and emerging market banks. The results suggest that the cost of trade finance is rising globally, but that provision is falling in emerging markets while staying stable in advanced countries, possibly reflecting structural differences in markets.

scholarly journals Corporate governance and firm performance: Evidence from an emerging market

2019 ◽  
Vol 9 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Ahmed S. Alanazi
Keyword(s):  
Corporate Governance ◽  
Firm Performance ◽  
Emerging Markets ◽  
Regression Models ◽  
Emerging Market ◽  
Operating Performance ◽  
Listed Firms ◽  
Developed Markets ◽  
Two Samples ◽  
And Performance

The paper investigates the link between corporate governance scores and firm performance among the largest 90 listed companies on the Saudi Stock market. The sample of 90 listed firms is split into two samples: firms with high governance scores and firms with low governance scores. The research compares and contrasts the operating performance of the two samples. In addition, regression models are used to test the link between governance scores and performance. No link between the companies’ corporate governance scores and operating performance is found. It is difficult to capture all elements of the complex corporate governance topic in corporate governance scores. It seems that corporate governance in emerging markets lags far behind that of developed markets. This is the first paper to examine the link between corporate governance scores and operating performance in the Saudi market, a new emerging market that has not been examined. The paper adds to the debate in the literature whether there is a link between corporate governance scores and performance. The evidence in the literature is inconclusive.

scholarly journals A PROPOSED CASE STUDY FIELD RESEARCH METHODOLOGY TO TEST COST DRIVERS: AN EXAMPLE OF PROPOSED FIELD STUDY AT A NUCLEAR MEDICINE UNIT

2021 ◽  
pp. 123-129
Keyword(s):  
Nuclear Medicine ◽  
Research Methodology ◽  
Value Added ◽  
Field Research ◽  
Cost Driver ◽  
Cost Drivers ◽  
Managerial Decisions ◽  
Industry Research ◽  
The Cost

This paper illustrates how to use case study method to conduct the cost driver research at hospitals by identifying activity-based cost drivers at the nuclear medicine unit (NMU) of a teaching hospital. I argue that recognizing the activity-based cost could improve the accuracy of estimating costs by identifying the underutilized resources and value-added and non-value-added cost drivers, to reduce non-value-added costs; thereby, facilitating the management to make better informed managerial decisions (e.g., improving pricing practices and using resources more efficiently). Therefore, I believe that this study may provide a useful inference to hospitals to improve the quality and quantity of the service, which they (or would) provide. Furthermore, this paper possibly provides an informative research methodology for researchers by showing how to extend the current literature by applying the same cost analysis research model on a different dataset for the health care industry research.

scholarly journals The Use of Experts Panels in ERP Cost Estimation Research

2013 ◽  
pp. 675-688
Author(s):  
Ahmed Elragal ◽  
Moutaz Haddara
Keyword(s):  
Enterprise Resource Planning ◽  
Cost Estimation ◽  
Resource Planning ◽  
Exploratory Research ◽  
Estimation Model ◽  
Cost Drivers ◽  
Cost Estimation Model ◽  
Visualization Techniques ◽  
The Cost ◽  
Cost Factors

This chapter is an effort towards illustrating the use of expert panels (EP) as a means of eliciting knowledge from a group of enterprise resource planning (ERP) experts in an exploratory research. The development of a cost estimation model for ERP adoptions is very crucial for research and practice, and that was the main reason behind the willingness of experts to participate in this research. The use of EP was very beneficial as it involved various data collection and visualization techniques, as well as data validation and confirmation. Arguments for using EP over other group techniques are presented in this chapter. Experts modified and enhanced the initial cost drivers list and their sub-factors significantly, as they added, modified, merged and split different costs. Moreover, they ranked the cost drivers according to their weight on total costs. All of this helped the authors to better understand relationships among various cost factors.

Loyalty cards, credit options and economic market development

2020 ◽  
Vol 48 (6) ◽  
pp. 591-607
Author(s):  
Stephan Zielke ◽  
Marcin Komor
Keyword(s):  
Emerging Markets ◽  
Emerging Market ◽  
Credit Cards ◽  
Emerging Countries ◽  
High Price ◽  
Private Debt ◽  
Content Type ◽  
Product Categories ◽  
Developed Markets

PurposeThis paper analyses three strategies in customers’ use to afford consumption in a developed and an emerging market for different product groups. The strategies are: (1) usage of loyalty cards, (2) usage of credit cards and (3) usage of long-term credits.Design/methodology/approachMall intercept surveys conducted in Poland (emerging market) and Germany (developed market) provide data for testing a set of hypotheses using ANOVAs.FindingsResults show that customers in emerging markets show no differences in the usage of loyalty cards for product categories with high shopping frequency (groceries) compared to developed markets, while in all other product categories loyalty card usage is stronger. Results show further that in low price categories, customers in emerging markets use credit card payments more often compared to customers in developed markets. In high price categories, they use credit cards less often, but long-term credits more often.Research limitations/implicationsResults have implications for the design of loyalty programs and payment options in different markets. Results have also implications for public policy regarding concerns about increasing private debt in emerging countries.Originality/valueThis paper suggests a cost-benefit framework where customers in emerging countries perceive benefits of loyalty cards and credit options higher, while they are willing to bear higher costs. As a result, effects of product category characteristics on usage that are observable in developed markets do not exist in emerging markets.

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