Impact of environmental conditions on workers’ productivity and health

2018 ◽  
Vol 11 (2) ◽  
pp. 74-84 ◽  
Author(s):  
Pubuduni Anuradha Meegahapola ◽  
R.A. Ranga Prabodanie
Keyword(s):  
Environmental Conditions ◽  
Negative Impact ◽  
Secondary Data ◽  
Manufacturing Plant ◽  
Rubber Compound ◽  
Content Type ◽  
Automobile Assembly ◽  
Productivity Losses ◽  
Lower Productivity ◽  
The Impact

Purpose Some manufacturing processes generate extreme temperatures, noise and other irritating environmental conditions. These environmental factors can have a negative impact on workers’ performance and health. The purpose of this paper is to investigate the impact of temperature, noise and lighting on factory workers’ productivity and day-to-day health in a rubber compound manufacturing plant. Design/methodology/approach Secondary data on productivity, measurements of factory environmental conditions, and records of medical advice and treatments over a period of three months were used in this study. Causal analysis was performed using statistical techniques ANOVA and regression analysis in SPSS statistical package. Findings The results revealed that higher levels of temperature and noise inside the factory can cause lower productivity levels. High temperature may not only reduce the productivity but also contribute to illnesses or heat-stress symptoms such as headaches. The results further suggested that both noise and lighting level do not have a statistically significant impact on workers’ health. No statistical evidence was found on lighting level having an impact on workers’ productivity. Research limitations/implications The study was particularly focused on a rubber compound manufacturing plant. However, the results were consistent with the results obtained in similar studies which focused on leather and shoe industry and automobile assembly industry. Originality/value The impact of environmental conditions on workers’ performance and health has been studied with respect to few industries and regions. This is the first of that kind carried out in Sri Lanka. Clear evidence of productivity losses and health impacts caused by high temperatures, raises the need for improving the working conditions.

An empirical investigation on the impact of marketing strategy style on firm performance: evidence from public firms in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rui Wang ◽  
Liqiong Liu ◽  
Yu Feng
Keyword(s):  
Marketing Strategy ◽  
Corporate Performance ◽  
Negative Impact ◽  
Secondary Data ◽  
Listed Companies ◽  
Research Issues ◽  
Content Type ◽  
Public Firms ◽  
Negative Effect ◽  
The Impact

PurposeThe mechanism of marketing strategy style and its impact on firms are research issues received wide attention. In particular, the aggressive style of marketing strategy has been chosen by many companies, but recent studies have shown that it has a negative effect on corporate performance. This leads to the core issue of this paper – does the aggressive style of marketing strategy always had a negative impact on corporate performance? Are there any factors that can alleviate this negative impact?Design/methodology/approachBased on the resource-based theory and agency theory, this paper takes the Growth Enterprise Market (GEM) listed companies as the research objects, collects secondary data and conducts the research by regression model.FindingsThe empirical research shows that: (1) the aggressive style of marketing strategy significantly and negatively affects the performance of firm; (2) the resource constraint can moderate the main effect and resource control play a weak adjustment role.Practical implicationsIn practice, this paper confirms the adverse impact of aggressive style of marketing strategy on the performance of listed companies on GEM and inspires the industry to strengthen the control and supervision of marketing resources.Originality/valueThis paper makes up for the research gap in the field of cross-research in finance and marketing theoretically.

Impact of liquidity and financial leverage on firm’s profitability – an empirical analysis of the textile industry of Pakistan

2019 ◽  
Vol 23 (4) ◽  
pp. 291-305 ◽  
Author(s):  
Asif Hussain Samo ◽  
Hadeeqa Murad
Keyword(s):  
Textile Industry ◽  
Negative Impact ◽  
Negative Relationship ◽  
Secondary Data ◽  
Annual Data ◽  
Strong Impact ◽  
Financial Leverage ◽  
Content Type ◽  
The Impact ◽  
Textile Sector

Purpose This study aims to determine the impact of liquidity and financial leverage on the profitability, using a sample of 40 selected publicly quoted companies in the textile sector of the Pakistani economy. Design/methodology/approach Through quantitative approach, pooled panel regression and descriptive statistics models are used by taking annual data of Pakistan’s textile sectors from 2006 to 2016. Secondary data has been gathered from financial statements of the firms. Findings The results revealed that there is a positive relationship between liquidity and profitability and negative relationship between financial leverage and profitability. The results for liquidity measure CR revealed positive strong impact on ROA and the financial leverage measure D_E ratio showed negative but not strong impact on ROA. The other part of result concluded that there is a positive strong impact of C_R on ROE too and D_E has a negative impact on ROE. Research limitations/implications The results are showing the impact among these ratios for the textile sector of Pakistan only. Practical implications This study can help higher management of textile firms firm in decision-making stating clearly about how to perform well to enhance financial health of company, which can encourage investors to invest in companies having sound market standing. Originality/value This study takes the latest empirical data with different analysis technique.

Improving China's alfalfa industry development: an economic analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wenxin Wang
Keyword(s):  
Negative Impact ◽  
Arable Land ◽  
Secondary Data ◽  
Influential Factors ◽  
Content Type ◽  
Measurement Results ◽  
Significant Negative Impact ◽  
Negative Effect ◽  
The Impact ◽  
Positive Effect

PurposeThis study analyzes the factors which affect the alfalfa cultivation acreage in China and estimates the development of alfalfa planting by the supply model.Design/methodology/approachBased on the characteristics and actual conditions of alfalfa cultivation in China, a naïve empirical model was created to analyze the impact of various influencing factors on the cultivation acreage of alfalfa.FindingsThe analysis of influential factors shows that China's alfalfa planting conforms to naïve price behavior. The prices of alfalfa and per capita arable land occupancy have a positive effect on the cultivation acreage, while the price of competitive crops and transportation costs have a negative effect on the production of alfalfa. Lastly, the 2012 alfalfa subsidy policy has a significant negative impact on alfalfa cultivation acreage.Research limitations/implicationsDue to the limited research on alfalfa supply in China, there is a lack of available research data and statistical data. A large number of data in this study are mainly indirect data derived and calculated from other industrial data. The measurement results may not be fully accurate.Originality/valueThis study represents the first empirical analysis of the characteristics of the factors influencing alfalfa cultivation acreage in China. The secondary data were used to analyze the influence of various control variables on the cultivation acreage of alfalfa, which is different from existing research.

scholarly journals Credit risk management

2018 ◽  
Vol 10 (2) ◽  
pp. 185-205
Author(s):  
Hassan Akram ◽  
Khalil ur Rahman
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Banking Industry ◽  
Negative Impact ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Credit Risk Management ◽  
Content Type ◽  
The Impact ◽  
Better Than

PurposeThis study aims to examine and compare the credit risk management (CRM) scenario of Islamic banks (IBs) and conventional banks (CBs) in Pakistan, keeping in view the phenomenal growth of Islamic banking and its future implications.Design/methodology/approachA sample of five CBs and four IBs was chosen out of the whole banking industry for the study. Secondary data obtained from the banks’ annual financial reports for 13 years, starting from 2004 to 2016, were analyzed. Multiple regression, correlation and descriptive analysis were used in the examination of the data.FindingsThe results show that loan quality (LQ) has a positive and significant impact on CRM for both IBs and CBs. Asset quality (AQ), on the other hand, has a negative impact on CRM in the case of IBs, but has a significantly positive relation with CRM in the case of CBs. The impact of 16 ratios measuring LQ and AQ have also been individually checked on CRM, by making use of a regression model using a dummy variable of financial crises for robust comparison among CBs and IBs. The model proved significant, and CRM performance of IBs was observed to be better than that of CBs. Moreover, the mean average value of financial ratios used as a measuring tool for these variables shows that the CRM performance of IBs operating in Pakistan was better than that of CBs over the period of the study.Practical implicationsThe research findings are expected to facilitate bankers, investors, academics and policy makers to build a better understanding of CRM practices as adopted by CBs and IBs. The findings would be useful in formulating policy measures for the progress of the banking industry in Pakistan.Originality/valueThis research is unique in terms of its approach toward analyzing and comparing CRM performance of CBs and IBs. Such work has not been carried out before in the Pakistani banking industry.

Impact of economic and financial crimes on economic growth in emerging and developing countries

2019 ◽  
Vol 26 (3) ◽  
pp. 910-920 ◽  
Author(s):  
Sani Abubakar Saddiq ◽  
Abu Sufian Abu Bakar
Keyword(s):  
Systematic Review ◽  
Developing Countries ◽  
Negative Impact ◽  
Meta Analysis ◽  
Eligibility Criteria ◽  
Content Type ◽  
Research Reporting ◽  
Financial Crimes ◽  
Emerging And Developing Countries ◽  
The Impact

Purpose The purpose of the study is to investigate the impact of economic and financial crimes on the economies of emerging and developing countries. Design/methodology/approach Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) guidelines and meta-analysis of economics research reporting guidelines were used to conduct a quantitative synthesis of empirical evidence on the impact of economic and financial crimes in developing and emerging countries. Findings A total of 103 studies were searched, out of which 6 met the selection/eligibility criteria of this systematic review. The six selected studies indicated that economic and financial crimes have a negative impact in emerging and developing countries. Originality/value To the best knowledge of the authors, no published systematic review of the impact of economic and financial crimes in developing countries has been conducted to date.

The impact of intellectual capital on firm performance: a study of Indian firms listed in COSPI

2018 ◽  
Vol 19 (5) ◽  
pp. 935-964 ◽  
Author(s):  
Neha Smriti ◽  
Niladri Das
Keyword(s):  
Firm Performance ◽  
Intellectual Capital ◽  
Value Creation ◽  
Generalized Method Of Moments ◽  
Value Added ◽  
Secondary Data ◽  
Share Price ◽  
Content Type ◽  
Listed Firms ◽  
The Impact

Purpose The purpose of this paper is to examine the effect of intellectual capital (IC) on financial performance (FP) for Indian companies listed on the Centre for Monitoring Indian Economy Overall Share Price Index (COSPI). Design/methodology/approach Hypotheses were developed according to theories and literature review. Secondary data were collected from Indian companies listed on the COSPI between 2001 and 2016, and the value-added intellectual coefficient (VAIC) of Pulic (2000) was used to measure IC and its components. A dynamic system generalized method of moments (SGMM) estimator was employed to identify the variables that significantly contribute to firm performance. Findings Indian listed firms appear to be performing well and efficiently utilizing their IC. Overall, human capital had a major impact on firm productivity during the study period. Furthermore, the empirical analysis showed that structural capital efficiency and capital employed efficiency were equally important contributors to firm’s sales growth and market value. The growing importance of the contribution of IC to value creation was consistently reflected in the FP of these Indian companies. Practical implications This study has robust theoretical grounds and employs a validated methodology. The present study extends knowledge of IC among academicians and managers and highlights its contribution to value creation. The findings may help stakeholders and policymakers in developing countries properly reallocate intellectual resources. Originality/value This study is the first study to evaluate IC and its relationship with traditional measures of firm performance among Indian listed firms using dynamic SGMM and VAIC models.

Three strikes and you are out?

2017 ◽  
Vol 10 (4) ◽  
pp. 417-429 ◽  
Author(s):  
Michael Carriger
Keyword(s):  
Negative Impact ◽  
Univariate Analysis ◽  
Market Valuation ◽  
Financial Health ◽  
Content Type ◽  
Financial Measures ◽  
Significant Negative Impact ◽  
Three Strikes ◽  
Underlying Disorder ◽  
The Impact

Purpose Much has been written in both the management and finance literatures about the impact of downsizing on the financial health and market valuation of companies. However, surprisingly little attention has been paid to the frequency of downsizing and the impact of frequent downsizings. The purpose of this paper is to look at trends in downsizing, asking the question are companies that downsize once more likely to downsize again. The paper also looks at the impact of frequent downsizing, asking the question are frequent downsizers differentially impacted compared to less frequent downsizers. Design/methodology/approach Companies that appeared on the Fortune 500 in 2014 and were also on the list in 2008 were assessed for the impact of repeat downsizings on financial measures (profitability, efficiency, debt, and revenue) and market valuation. A trend analysis was conducted to assess the trend in downsizing and repeated downsizing from 2008 through 2014. A series of univariate analysis of variances were conducted to assess the impact of repeated downsizings on the financial and market valuation indicators. Findings Findings indicate that companies that downsize between 2008 and 2009 were more likely to downsize again in future years. And this repeat downsizing happened at a higher rate than would be expected by the percentage of companies that initially downsized. Findings also indicate that multiple downsizings had a significantly negative impact on the company’s financial performance as measured by two profitability ratios (return on assets and return on investment) and a borderline significant negative impact on the company’s market valuation as measured by stock equity, regardless of industry or initial financial health of the company. Originality/value Two competing theories were considered and the evidence found here support both. However, the “band-aid solution” theory, that downsizing may function as a band-aid addressing the symptoms that lead to the downsizing but not the underlying disorder or cause may be a more parsimonious explanation for the results here. It is hoped that these findings will inform both scholars and practitioners, giving both a clearer picture of the impact of multiple downsizings on corporate performance.

South Africa’s increasing climate variability and its effect on food production

2021 ◽  
pp. 003072702110049
Author(s):  
Mashudu Tshikovhi ◽  
Roscoe Bertrum van Wyk
Keyword(s):  
South Africa ◽  
Climate Variability ◽  
Food Production ◽  
Fixed Effects ◽  
Crop Yields ◽  
Negative Impact ◽  
Secondary Data ◽  
Mean Annual Temperature ◽  
Fixed Effects Panel Regression ◽  
The Impact

This study examines the impact of increasing climate variability on food production in South Africa, focusing on maize and wheat yields. A two-way fixed effects panel regression model was used to assess the climate variability impacts, analysing secondary data for the period 2000 to 2019 for nine provinces in South Africa. The study found that increasing climate variability has a negative impact on maize and wheat production in South Africa. Specifically, the results indicated a negative correlation between mean annual temperature with both maize and wheat yields. A decrease in precipitation affected maize yields negatively, while the impact on wheat yields was positive, although insignificant. This analysis, therefore, depicted that crop yields generally increase with more annual precipitation and decrease with higher temperatures. The study recommends that funding initiatives to educate farmers on increasing climate variability and its effects on farming activities in South Africa should be prioritised.

Epidemics and Chinese firms' stock returns: is COVID-19 different?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Quang Thi Thieu Nguyen ◽  
Dao Le Trang Anh ◽  
Christopher Gan
Keyword(s):  
Stock Returns ◽  
Negative Impact ◽  
Stock Exchange ◽  
Market Performance ◽  
Disease Outbreaks ◽  
Stock Exchanges ◽  
Content Type ◽  
Event Study Method ◽  
Economic Shock ◽  
The Impact

PurposeThis study investigates the Chinese stocks' returns during different epidemic periods to assess their effects on firms' market performance.Design/methodology/approachThe study employs an event study method on more than 3,000 firms listed on Shanghai and Shenzhen stock exchanges during periods of SARS, H5N1, H7N9 and COVID-19FindingsEpidemics' effect on firms' stock returns is persistent up to 10 days after the event dates. Although the impact varies with types and development of the disease, most firms experience a negative impact of the epidemics. Among the epidemics, COVID-19 has the greatest impact, especially when it grows into a pandemic. The epidemics' impact is uneven across industries. In addition, B-shares and stocks listed on Shanghai Stock Exchange are more negatively influenced by the epidemic than A-shares and those listed on Shenzhen Stock Exchange.Research limitations/implicationsThe results of the study contribute to the limited literature on the effects of disease outbreaks as an economic shock on firm market performance. Given the possibility of other epidemics in the future, the study provides guidance for investors in designing an appropriate investing strategy to cope with the epidemic shocks to the market.Originality/valueThe research is novel in the way it compares and assesses the economic impact of different epidemics on firms and considers their impact at different development stages.

Dynamics of affordability and immigration in the Canadian housing market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vikkram Singh
Keyword(s):  
Low Income ◽  
Negative Impact ◽  
Policy Formulation ◽  
Housing Affordability ◽  
Immigrant Integration ◽  
Full Time ◽  
Content Type ◽  
Assistance Programs ◽  
Essential Contribution ◽  
The Impact

Purpose This study aims to make two major contributions. First, given the literature gap in housing unaffordability for different immigrant groups in Canada, it makes an essential contribution to the literature. To the best of the knowledge, this study is the first study of its kind to examine housing unaffordability by examining different immigrant groups. Second, differences in unaffordability can help understand the decline in welfare, as it can have financial implications and a negative impact on health outcomes. Third, this study’s findings are valuable for policy formulation to improve immigrant integration and ease the housing unaffordability crisis. Design/methodology/approach This study examines the determinants of housing affordability to investigate differences among various immigrant groups in Canada. A bivariate logit model using public microdata from the Canadian census estimates the determinants of moderate and severe unaffordability. Additionally, the separation of tenants and owners provides insights into the dynamics of unaffordability. The results show significant differences between immigrant groups with higher levels of unaffordability among Asian immigrants. The insights can help devise and implement housing assistance programs to address the challenges arising from the post-COVID-19 pandemic phase. Findings The results indicate that unaffordability declines with increasing age, education and full-time employment. Gender dynamics are evident, with women faring worse than men regarding the likelihood of extreme housing unaffordability. Households face a greater likelihood of unaffordability in more populous provinces and larger census metropolitan areas that struggle with the high cost of living, racial disparities and low income. Immigrants, especially from Asia, Africa and the Middle East, continue to struggle with chronic and severe unaffordability issues. The impact is much more severe for those renting, exemplifying the strain it is taking on the financial health of recent immigrants. Originality/value Given the literature gap in housing unaffordability for different immigrant groups in Canada, it makes an essential contribution to the literature. To the best of the knowledge, this study is the first study of its kind to examine housing unaffordability by examining different immigrant groups.

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