scholarly journals CEO Salary, Personal Characteristics, and Firm Performance in Chinese-Listed Firms: A Cross-Sectional Econometric Modeling Approach

2021 ◽  
pp. 14-30
Author(s):  
Ming-Lu Wu
2019 ◽  
Vol 2 (3) ◽  
Author(s):  
DORCAS KIAI ◽  
PETER LEWA ◽  
JAMES KARIMI

The study sought to determine the influence of career management on firm performance at the firms which are listed in the Nairobi Securities Exchange. The study was anchored on resource based view theory and shareholder value maximization theory. The research design used was a cross-sectional survey, target population included the head of human resources and finance directors in all the listed firms since they were better placed and conversant with the subject of this study and were involved in the development of the policies and review of performance. Sample size comprised of 136 respondents and data was collected through structured questionnaires to meet the objectives of the study. Responses were tabulated, coded and processed by use of a computer Statistical Package for Social Science (SPSS) to analyze the data. Both descriptive and inferential statistics techniques were used to analyze the data. Findings revealed that the relationship between career management and firm performance was positive and statistically significant. The study concluded that career development and planning, career mentors/ counseling, career centres and firms planning for employee growth and progression are key career management determinants for the performance of firms listed in the Nairobi Stock Exchange (NSE) and recommended that career management practices should be widely adopted by NSE listed firms as doing so would lead to improved performance


2018 ◽  
Vol 31 (3) ◽  
pp. 458-478 ◽  
Author(s):  
Saumya Ranjan Dash ◽  
Mehul Raithatha

PurposeThe purpose of this study is to investigate the impact of disputed tax litigation risk on firm performance and stock return behavior using a sample of Indian listed firms.Design/methodology/approachThe authors use disputed tax liability, reported as a contingent liability by the listed firms, as a proxy for the disputed tax litigation risk. To examine the impact of disputed tax litigation risk on firm performance (measured by accounting and market-based measures), the empirical approach used in this study focusses on the panel estimation technique. A portfolio-based approach using alternative asset pricing models examines the cross-sectional return variation because of the influence of disputed tax litigation risk.FindingsThe results of this study show a negative relationship between firm performance measures and disputed tax litigation risk. Cross-sectional test results reveal that higher disputed tax litigation risk is associated with higher expected returns.Research limitations/implicationsThis study focusses on disputed tax reported under the heading of contingent liability as a proxy for litigation risk. The study will help investors and portfolio managers to consider disputed tax litigation risk as an important parameter in the evaluation of firm performance. This study will also help regulators to get feedback on tax related policies and improve the dispute resolution process.Originality/valueThis study adds to the existing literature on the relationship between litigation risk and firm performance. In the context of emerging market, this study is the first-of-its-kind study, which focusses on disputed tax as a litigation risk proxy and examines its possible impact on firm performance and stock return behavior.


Author(s):  
Dorcas Kiai ◽  
Peter Lewa ◽  
James Karimi

The study sought to determine the influence of human resource planning on firm performance of firms listed in the Nairobi Securities Exchange in Kenya. The study was anchored on human capital theory and shareholder value maximization theory. The research design used was a cross-sectional survey while the study population constituted all the 68 listed firms at the Nairobi Stock Exchange (NSE) as in May 2017. The target population included the head of human resources and finance directors in all the listed firms. The sample size comprised of 136 respondents, and data was collected through structured questionnaires to meet the objectives of the study. Responses were tabulated, coded, and processed by the use of a computer Statistical Package for Social Science (SPSS) to analyze the data. Both descriptive and inferential statistical techniques were used to analyze the data. To test hypotheses, a simple linear model was used to test significance between the independent and dependent variable. The study findings revealed that the relationship between human resource planning and firm performance was positive and statistically significant and hence rejected the null hypothesis. The study concluded that the type and strategy of the firm, succession planning, matching skills with jobs and skills inventory are human resource planning indicators influencing the performance of firms listed in the NSE. It is therefore recommended that firms should continue to practice and maintain adequate human resource planning as it plays a fundamental role in achieving the objectives of the organizations.


Author(s):  
Agatha Kratz ◽  
Harald Schoen

This chapter explores the effect of the interplay of personal characteristics and news coverage on issue salience during the 2009 to 2015 period and during the election campaign in 2013. We selected four topics that played a considerable role during this period: the labor market, pensions and healthcare, immigration, and the financial crisis. The evidence from pooled cross-sectional data and panel data supports the notion that news coverage affects citizens’ issue salience. For obtrusive issues, news coverage does not play as large a role as for rather remote topics like the financial crisis and immigration. The results also lend credence to the idea that political predilections and other individual differences are related to issue salience and constrain the impact of news coverage on voters’ issue salience. However, the evidence for the interplay of individual differences and media coverage proved mild at best.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jonathan Arlt ◽  
Kristina Flaegel ◽  
Katja Goetz ◽  
Jost Steinhaeuser

Abstract Background The World Health Organization recommends vaccination rates of 75% against seasonal influenza for patients over 65 years old. In the 2013/2014 season, the German vaccination rates ranged between 14 and 65%. This study aimed to compare the attitudes, personal characteristics and vaccination behaviours of general practitioners (GPs) in regions with high and low vaccination rates in Germany. Methods In May 2016, a questionnaire was sent to 1594 GPs practising in 16 districts with the highest and the lowest vaccination rates in Western and Eastern Germany as described by the Central Research Institute of Ambulatory Health Care in Germany for the 2013/2014 season. Descriptive statistics and multiple regression analyses were computed to identify potential factors associated with high vaccination rates. Results A total response rate of 32% (515/1594 participants) was observed in the study. GPs reported their attitudes towards vaccination in general and vaccination against influenza as mostly ‘very positive’ (80%, n = 352 and 65%, n = 288, respectively). GPs practising in regions with low vaccination rates reported their attitudes towards vaccinations in general (p = 0.004) and towards influenza vaccination (p = 0.001) more negatively than their colleagues from regions with high vaccination rates. Multiple logistic regression identified an increasing influence of year-dependent changing efficiency on GPs’ influenza rates as the strongest factor for predicting GPs from highly vaccinating regions (OR = 4.31 [1.12–16.60]), followed by the patient’s vaccination refusal despite GP advice due to already receiving a vaccination from another physician (OR = 3.20 [1.89–5.43]) and vaccination information gathering through medical colleagues (OR = 2.26 [1.19–4.29]). Conclusions The results of this study suggest a correlation between GPs’ attitudes and regional vaccination rates. Beneath GPs’ individual attitudes, the regional attitude patterns of patients, colleagues and medical assistants surrounding those GPs seem decisive and should be integrated into future campaigns to increase vaccination rates at a regional level.


2018 ◽  
Vol 19 (5) ◽  
pp. 935-964 ◽  
Author(s):  
Neha Smriti ◽  
Niladri Das

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.


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