Retail Trade Industry Research Articles

Investment horizon, slack resources, and firm performance: Evidence from privately held european firms

Short-termism in investment decisions often results in poor firm performance, though excessively long investments can also harm performance by reducing internal flexibility. This study investigated a quadratic, inverted U-shaped relationship between investment horizon and performance. Building on agency theory and resource-constraint arguments, we proposed that organizational slack moderates the relationship between investment horizon and firm performance. For short investment horizons, slack represented unused resources that could have been invested, thus leading to lower performance. For long investment horizons, slack helped cover unanticipated expenses and increased firm performance. We found empirical support for our theory in a large sample of privately held European firms in the utilities and retail trade industries.

A multi-dimensional analysis of corporate blogs

Abstract Using a corpus-based multi-dimensional analysis, this study investigates the linguistic features and variation of corporate blogs from four industries: Service industry, the Wholesale and Retail Trade industry, the Manufacturing industry, and Information industry. The primary goal of this study is to examine the linguistic variation in corporate blogs from different industries. The data used for the current study is a 570,745-word corpus consisting of 995 textual posts from 40 top-ranked corporate blogs. In the multi-dimensional analysis, 67 linguistic features in the corpus are tagged, counted and normalized by using a Multidimensional Analysis Tagger (MAT). We imported the output files containing relevant statistical information from the MAT and then to SPSS 25.0 for a further t-test analysis. Overall, the corporate blogs are closest to the text type of general narrative exposition. The study finds that, as a hybrid genre, corporate blogs are basically informationally dense, non-narrative, interactive, and contextually independent. There are some statistically significant differences between four sub-corpora in corporate blogs. In particular, the Wholesale & Retail Trade sub-corpus is the most distinctive one that is significantly different from others on many dimensions, characterized by giving instructions, or telling stories, rather than persuading their audiences to do something.

County-level industrial composition of the labor force and drug overdose mortality rates in the United States in 2018-2021.

Drug mortality risks vary among industries, creating distinctive geographic patterns across US counties. However, less is known about how local labor market structure relates to drug overdose mortality amid the synthetic opioid era in the United States. This study investigates the relationship between industry-specific job composition and drug overdose mortality at the county level while exploring how fentanyl's presence in illicit drug supplies may moderate the relationship. Data were derived from the National Center for Health Statistics' Multiple Cause of Death files for the rates of drug overdose mortality of any intent, linked with four other sources on industry-specific job shares, drug supply, and county-level sociodemographic characteristics and opioid prescribing rates from the US Census Bureau, the CDC, and the Drug Enforcement Administration. Negative binomial regression models were employed to examine associations between county industry-specific job composition and drug overdose mortality, with tests for moderating effects of state-level fentanyl seizure rates. Our models indicate negative associations between job shares of manufacturing, retail trade, and educational services industries and drug overdose mortality. Positive associations were found for arts/entertainment/recreation and public administration. State-level fentanyl seizure rates had moderating effects on administrative/support/waste management/remediation (A/S/WM/R) and educational services. Counties with a higher concentration of arts/entertainment/recreation and public administration jobs need targeted efforts to mitigate drug-related overdose risks. Additionally, areas with higher concentrations of A/S/WM/R service jobs, particularly where fentanyl seizure rates are higher, may require proactive harm reduction strategies for reducing overdose risks.

Economic and Mathematical Analysis of Factors Influencing the ESG- Rating Components of The Companies on The Emerging Markets

Objective: Nowadays, ESG serves as a guide for any kind of business all around the world. Over the last three years, ESG agenda developed at a more rapid pace on the emerging markets than on the developed ones. Methods: Utilizing data from 200 companies from 8 different industries: chemical, energy, transport, metals and mining, telecommunication, oil and gas, real estate, and retail trade industries, authors employs correlation and regression analyses to ascertain the effects of ESG factors on companies' profitability and investment attractiveness. Results: It can be stated that components of an ESG rating can affect a company’s financial performance, such as profitability and the company’s investment attractiveness with different magnitude and any changes (increase or decrease) in E, S or G components can influence company financial performance: either in positive or negative way. Conclusion: The study concludes that while ESG factors generally contribute to improved financial outcomes, their specific impact varies across different industries, highlighting the importance of industry-specific strategies for integrating ESG considerations into business practices.

Employee Assistance Program Counseling in the U.S. Restaurant and Retail Trade Industry: Clinical and Work Outcome Risks and Results for 9,869 Cases at CuraLinc Healthcare

Employee Assistance Program Counseling in the U.S. Restaurant and Retail Trade Industry: Clinical and Work Outcome Risks and Results for 9,869 Cases at CuraLinc Healthcare

Financial Distress During the COVID-19 Pandemic: Altman and Springate Model Prediction

Background: The retail trade industry has experienced a sharp decline in economic growth during the COVID-19 pandemic. Regulation of social distancing, restrictions on retail shop operating hours, and disruption of online shopping behavior contribute to worsen the financial performance of retail trade companies. </p> <p> Purpose: The purpose of this research is to analyze the prediction of financial distress of retail trade companies. This research chose to use the Altman and Springate Model since both of them are the most accurate and conservative models to predict. </p> <p> Research Methodology: The financial distress analysis technique used is Altman and Springate Model. The calculation of the Altman and Springate Score is based on an equation formula for data in the period before and during the COVID-19 pandemic. The Altman’s Score are grouped in the Safe Zone, Grey Area, and Financial Distress; while the Springate’s Score are grouped in the Safe Zone and Financial Distress categories. </p> <p> Findings: Altman Model Analysis stated that most of the companies experienced a decreased scores, the company’s financial performance during COVID-19 pandemic was predicted financial distress and belong to the Grey Zone category than before COVID-19 pandemic. Springate Model Analysis states that all companies have decreased scores, and the company’s financial performance during COVID-19 pandemic is predicted financial distress than before COVID-19 pandemic. Springate Model revealed a more conservative indicator, but both models stated there were still exist several companies in the Safe Zone category to continue their business. </p> <p> Research limitations: The limitations of this study are only using Altman and Springate Model. The object of this research is the retail trade industry only, then future research may be able to expand the analyzed industry in the new normal conditions. </p> <p> Originality/value: The originality of this research is focused on the retail trade companies as the most affected industry by COVID-19 pandemic. In addition, this research analyzes financial distress based on Altman Z-Score and Springate Model as the most powerful model to predict.

The close connection between liquidity and profitability: analysis of the retail market

Purpose- Analyzing profitability and liquidity indicators are essential for healthy financial management. Liquidity refers to the extent to which a company can convert its assets into cash quickly and without significant loss of value while profitability refers to the extent to which a company generates profits and returns investments for its owners. An important dimension in the relationship between liquidity and profitability is time. A company may be liquid and profitable at one point in time, but this may not hold true over time. In addition to these things, the Romanian retail industry is an industry that contributes massively to the achievement of the GDP and is also an important employer, offering employment opportunities to a significant part of the population. The purpose of this study is to determine the relationship between liquidity indicators and the profitability of retail companies. Methodology- STATA software was used to model the data and estimate the results, using multiple linear regressions. Findings- The analysis reveals that shows that liquidity rates have a low impact on the profitability of Romanian companies in the retail trade industry. Conclusion- Based upon the analysis, it may be concluded that managers must establish more favorable policies regarding the credit granted by suppliers, which can lead to a decrease in the cash conversion cycle and implicitly to an increase in the profitability of retail companies. At the same time, the simple conclusion is to pay more attention to the company's liquidity, observing the direct relationships between liquidity rates and profitability in the sense of increasing the last one. Keywords: business economics, financial management, liquidity, market, profitability, retail JEL Codes: L21, L81, M21

Distribution in the large-scale retail trade industry: requirements for vehicle routing problems

Distribution in the large-scale retail trade industry: requirements for vehicle routing problems

Змістові характеристики та особливості інвестиційної привабливості роздрібної торгівлі

The article updates the issues of providing retail trade entities with investments, including in conditions of instability caused by the consequences of the full-scale war. The purpose of the study is to generalize and further develop the content characteristics and features of the investment attractiveness of the retail trade industry. The approaches of leading scientists regarding the definition of the substantive characteristics of the concept of "investment attractiveness" are summarized. The author's definition of the concept of "investment attractiveness of the retail industry" as a combination of institutional, economic, organizational, psychological and other conditions that provide incentives for increasing volumes and improving the structure of investments is substantiated and provided. It was concluded that during the formation and implementation of the State policy in this area, the peculiarities of the functioning and development of retail trade should be taken into account. The specifics of retail trade are determined in accordance with the leading macroeconomic functions of this industry – exchange of labor results for money, satisfaction of consumer needs for goods and services, impact on the balancing of the internal market and socioeconomic development, stimulation of the development of the production and consumption sectors. In accordance with the specified functions of retail trade, the features of the investment attractiveness of this branch of the national economy have been determined. Among them are the high capacity of the domestic market, developed production sector, transport and logistics infrastructure, high quality of life and purchasing power of the population, access to transport and logistics infrastructure, implementation of local economic development programs, effective economic policy of import substitution, development of local integrated systems, presence of competition and free market, cooperation of trade and subjects of the consumer services system, cooperation with the IT sector, activation of the consumer lending segment.

Railroad infrastructure investment and economic performance in Portugal: An industry-specific analysis

This study addresses the crucial question of the macroeconomic impact of investing in railroad infrastructure in Portugal. The aim is to shed light on the immediate and long-term effects of such investments on economic output, employment, and private investment, specifically focusing on interindustry variations. We employ a Vector Autoregressive (VAR) model and utilize industry-level data to estimate elasticities and marginal products on these three economic indicators. Our findings reveal a compelling positive long-term spillover effect of these investments. Specifically, every €1 million in capital spending results in a €20.84 million increase in GDP, a €17.78 million boost in private investment, and 72 new net permanent jobs. However, these gains are not immediate, as only 14.5% of the output increase and 38.8% of the investment surge occur in the first year. In contrast, job creation is nearly instantaneous, with 93% of new jobs materializing within the first year. A short-term negative impact on the trade balance is expected as new capital goods are imported. Upon industry-level analysis, the most pronounced output increases are witnessed in the real estate, construction, and wholesale and retail trade industries. The most substantial net job creation occurs in the construction, professional services, and hospitality industries. This study enriches the empirical literature by uncovering industry-specific impacts and temporal macroeconomic effects of railroad infrastructure investments. This underscores their dual advantage in bolstering long-term economic performance and counteracting job losses during downturns, thus offering valuable public policy implications. Notably, these benefits are not evenly distributed across all industries, necessitating strategic sectoral planning and awareness of employment agencies to optimize spending programs and adapt to industry shifts.

PENGARUH MOTIVASI INTRINSIK, KREATIVITAS DAN PENGETAHUAN TEKNOLOGI INFORMASI DAN KOMUNIKASI TERHADAP KESIAPAN DIGITALISASI UMKM DI KAVLING DPR SIDOARJO

One of the impacts of the growth of digitalization is the expansion of business operations on ecommerce platforms, especially the growth and development of digital-based businesses that penetrate into wholesale and retail trade and other service industries such as transportation and warehousing. The purpose of this study is to ascertain the impact of Intrinsic Motivation, Creativity and Knowledge of Information and Communication Technology on the Readiness of Digitalization of MSMEs in the Sidoarjo DPR Lot and also for other MSME players so that they can appeal to how important Digitalization is at this time. For the government, which is expected to participate in the Digitalization process in MSMEs throughout Indonesia. This type of research uses a census research method with a sample of 45 MSME players in the Sidoarjo DPR Lot. The findings of this study indicate that partially the intrinsic motivation variable has a negative effect on the readiness of digitalization of MSMEs in the Sidoarjo Dpr Lot, while the creativity and information and communication technology variables have a positive and significant effect on the readiness of digitalization of MSMEs in the Sidoarjo Lot. Overall, the independent variables have a significant effect on the readiness of digitalization of MSMEs in the Sidoarjo Dpr Lot.

Temporal assessment of disparities in California COVID-19 mortality by industry: a population-based retrospective cohort study

To assess changes in theCOVID-19 mortality rate and disparities over variants or waves by industry. We identified COVID-19 deaths that occurred between January 2020 and May 2022 among California workers aged 18-64 years using death certificates, and estimated Californians atrisk using theCurrentPopulationSurvey. The waves in deaths were wave 1: March-June 2020, wave 2: July-November 2020, wave 3/Epsilon and Alpha variants: December 2020-May 2021, wave 4/Delta variant: June 2021-January 2022, and wave 5/Omicron variant: February-May 2022. We used Poissonregression to generatewave-specificmortalityrateratios(MRR) and included aninteractiontermbetweenindustryandwave indifferentmodels to assess significanceofthechangeinMRR. In all waves of the pandemic, healthcare, other services, manufacturing, transportation, and retail trade industries had higher mortality rates than the professional, scientific, and technical industry. The healthcare industry had the highest relative rate earlier in the pandemic, while other services, utilities, and accommodation and food services industries had substantial increases in MRR in later waves. Industries that consistently had disproportionate COVID-19 mortality may have benefitted from protections that consider workers' increased exposure and vulnerability to severe outcomes.

Forecasting of financial risks of decline in profit and profitability of companies in the retail industry on the basis of correlation and regression analysis of macroeconomic factors

Aim. Development and realization of the innovative approach to forecasting of financial risks of profit and profitability decrease of retail industry companies on the basis of correlation and regression analysis of macroeconomic factors.Tasks. To identify and substantiate the macroeconomic risk factors of decrease in the retail trade turnover of the Russian companies of the retail industry; to develop a methodology of construction and build regression dependence of the total turnover of the companies of the retail trade industry in the Russian Federation (RF) on the macroeconomic factors; to define parameters of the analytical dependence of the retail trade turnover of the leading Russian retailers on the macroeconomic factors; to reveal and argue the position concerning the restrictions of application of correlation and regression analysis.Methods. The authors applied a systematic approach, providing a comprehensive study of the impact of macroeconomic factors on financial risks of profit and profitability reduction, as well as the correlation and regression analysis, methods of mathematical statistics and econometrics.Results. The methodology of estimation and forecasting of financial risks of profit and profitability decrease of the retail industry companies under the influence of external macroeconomic risk factors based on the use of the regression dependence of the retail industry companies turnover on the selected and grounded macroeconomic factors built in the present article is offered.Conclusions. The methodology of building regression dependences of retail turnover on external macroeconomic factors and the methodology of assessing the impact of these factors on the financial risks of reduced profit and profitability indicators proposed in the study are a methodological basis for forecasting changes in the results and efficiency of economic activities of companies in the retail industry and developing preventive measures aimed at reducing the financial risks of such companies. The quantitative assessments of the impact of macroeconomic factors on the retail turnover of leading Russian retailers obtained in the work allow to identify the most significant external macroeconomic risk factors for each of the companies and give a reasonable forecast of changes in retail turnover, profit and profitability indicators of these companies under the influence of macroeconomic factors.

"The impact of liquidity management on profitability: empirical study on retail companies in Romania "

"Companies operate in markets that are always changing. The business climate is marked by a number of changes, including rapidly growing markets, financial crisis, technical progress, competition and innovation. This research paper measures the impact of liquidity on profitability, represented by the rate of return on capital employed (ROCE) for companies in the retail trade industry in Romania. The independent variable liquidity conversion cycle was also taken into account in the research, the result of the regression applied to the panel data referring to the analyzed period of 9 years, 2013-2021, showing that among the independent variables, the current liquidity rate, the cycle liquidity conversion, total assets and dependent variable ROCE, there are significant and negative relationships. Also, between the independent variables the immediate liquidity rate, the turnover and the dependent variable ROCE, there is a significant but positive relationship, the conclusion being that paying more attention to the cash conversion cycle but also to the current liquidity rate, can cause a increase in the profitability of companies in the Romanian retail industry. "

Neighborhood Socioeconomic Characteristics Associated with the COVID-19 Incidence in Elementary School Children: An Ecological Study in Osaka City, Japan.

We aimed to determine whether neighborhood socioeconomic characteristics are associated with the coronavirus disease 2019 (COVID-19) incidence in elementary school children and, if so, the associated characteristics. We obtained data on the number of infected children from 282 public elementary schools and the socioeconomic characteristics of each school district in Osaka City, Japan. We examined associations between these variables through negative binomial regression analyses. The proportion of employment in the wholesale and retail trade industry and the college graduation rate were significantly positively and negatively associated, respectively, with the total number of COVID-19-infected children. It was discovered that percentages of employment in the accommodation and food service industries in Wave 2, wholesale and retail trade industries after Wave 3, and healthcare and social assistance industries in Wave 5 were significantly positively associated with the number of infected children; likewise, the college graduation rate in Wave 5 was significantly negatively associated with the number of infected children. Our findings provide insight into the relevant and important areas of focus for public health policymakers and practitioners to ensure reduced disparities in COVID-19 infection rates.

Persistence in Australian tourism employment industries

ABSTRACT There are many studies that have focussed on the different dimensions of employment in several industries during COVID-19. However, the impact of the pandemic on employment in the tourism industries has been underexplored. Moreover, we are not aware of any study that has considered the impact of the pandemic on employment in different sub-sectors within the tourism industries. This paper analyzes the effect of COVID-19 on employment in Australian tourism industries using fractional integration. Using quarterly data (2004-2021) and disaggregating data by sectors, we examine two samples, one ending in December 2019 and the other one in December 2021. The novelty of this study is the consideration of the effect of this pandemic on employment in different sub-sectors that constitute the tourism industry. Our results indicate that the current pandemic has not produced significant changes in the persistence of the series. The only significant changes take place for the retail trade industry that moves from mean reversion to lack of it, and the cafes and restaurants in the opposite direction. One of the implications of the results is that interventions before the pandemic, such as concerted marketing efforts, are useful to reduce the impact of COVID-19 on tourism related industries.

Study of Value Investing based on a Modern Approach

Market exploration is necessary to examine and identify attractive deals. This endeavor requires potential investors to analyze the market using effective market hypotheses. This paper focused on exploring value investing as a market and investment pathway. The applicable investment paradigm requires that investors purchase shares in Industries and organizations with promising returns on investment. As a result, investors should target organizations whose share price is lower than the true value. This paper investigated the retail trade industry by exploring randomly selected 20 companies. The 20 companies provided an opportunity to explore the total return of investing in companies between 2015 and 2021. This study used the gross profit margin and return on assets (ROA) as suitable financial ratios to explore the total return of investing in the selected companies. The paper justifies the applicability of gross profit margin and returns on assets (ROA) as financial issues distinguishing between 25% top performers and 25% bottom performers of the 20 selected companies. The analysis showed that 25% of top performers excel in corporate attributes, enhancing the gross profit margin and return on investment. In contrast, the 25% bottom performance lags in market attributes that enhance gross profit margin and return on assets.

The input-output analysis for the wholesale and retail trade industry of the Kazakhstan statistics

In this paper has been studied a two-sector input-output model between Wholesale and retail trade industry and Rest of economics. Here, the distribution of the total Input transactions between supply agents of Produce / selling, Gross value added and Import and the distribution of the total Output transactions between Purchase / buying, Final demand and Export consumer agents of the wholesale and retail trade industry create overheating and cooling uncertainty problems of national economy and problems of moderate and critical management of national economy. Particularly identified, – the convergence phase for Produce / selling transactions from 0.577 (or 14.89%) in 1995 to 3.849 U.S. billion dollars (or 14.29%) in 2011 to the state of Equilibrium growth and the divergence phase from 3.779 (or 14.11%) in 2012 to 0.569 U.S. billion dollars (or 3.10%) in 2018 from the state of Equilibrium growth, and also in accordance with the rules of “three sigma” from 24 years of observation in 20 years they were in the cooling zone of the economy beyond the level of critical manageability for flows and for the structure Produce / selling transactions of wholesale and retail trade industry of Kazakhstan economy.

Exchange Rate Passthrough to Sectoral Prices: Evidence from Zambia

The objective of the study was to examine the exchange rate pass through (ERPT) to sectoral prices in Zambia. We look at the agriculture, manufacturing and services sectors. For analysis, we use the SVAR model with annual data from 1983 to 2017. The results from the study showed that the ERPT is less than complete in the three sectors but highest in the services sector followed by manufacturing and agriculture sectors respectively. High ERPT in the services sector might be because the services sector is dominated by final consumer services such as wholesale and retail trade, transportation and tourism industry which might be sensitive to exchange rate movements. High ERPT in the manufacturing sector could be because most of the raw materials that are used in the manufacturing sector are imported. Lower ERPT in the agriculture sector might suggest that items in this sector are less sensitive to exchange rate movements. Keywords: ERPT, sectoral price inflation, Forecast error variance decomposition DOI: 10.7176/JESD/13-22-07 Publication date: November 30 th 2022

Exchange Rate Passthrough to Sectoral Prices: Evidence from Zambia

The objective of the study was to examine the exchange rate pass through (ERPT) to sectoral prices in Zambia. We look at the agriculture, manufacturing and services sectors. For analysis, we use the SVAR model with annual data from 1983 to 2017. The results from the study showed that the ERPT is less than complete in the three sectors but highest in the services sector followed by manufacturing and agriculture sectors respectively. High ERPT in the services sector might be because the services sector is dominated by final consumer services such as wholesale and retail trade, transportation and tourism industry which might be sensitive to exchange rate movements. High ERPT in the manufacturing sector could be because most of the raw materials that are used in the manufacturing sector are imported. Lower ERPT in the agriculture sector might suggest that items in this sector are less sensitive to exchange rate movements. Keywords: ERPT, sectoral price inflation, Forecast error variance decomposition DOI: 10.7176/JRDM/88-04 Publication date: October 31 st 2022