1,720,966 research outputs found
Executive Compensation and Company Performance: Pre- and Post-Marikana Uprising Analysis
Background: Executive compensation has become a controversial topic globally. Recent and past incidents of labour unrest, including those that plagued the South African mining sector in 2012, highlighted the level of controversy on the subject.
Purpose: The purpose of this study was to investigate the relationship between executive compensation and company performance in the mining sector of the Johannesburg Stock Exchange (JSE).
Methodology: The study was quantitative in nature and used purposive sampling in selecting 28 mining companies listed on the JSE. Estimated generalised least squares (EGLS) and seemingly unrelated regression (SUR) were used to analyse unbalanced panel data spanning from 2007 to 2018.
Findings: The results show that there is no relationship between executive compensation and market value added (MVA), revenue growth (RG), return on assets (ROA), and return on equity (ROE) both before and after the Marikana event. In the period before the Marikana event, 2007–2012, economic value added (EVA), share price (SP) and total assets (TA) were statistically significant in explaining variability in executive compensation. However, in the post-Marikana period, 2013–2018, only the TA and earnings per share (EPS) are statistically significant in explaining the variability in executive compensation.
Value: This study offers a practical contribution to policy makers and practitioners on pertinent performance measures that can aid in minimising agency costs when designing executive compensation plans
The Relationship Between Climate Risk Disclosure and Performance on Mining Companies: Evidence From A Developing Economy
The main aim of this study is to develop an unweighted climate risk disclosure index to assess whether climate risk disclosure predicts mining companies’ performance.The catastrophic nature of climate risk has become more topical in recent years. Yet, academic research efforts have been directed to climate risk from the perspective of developed economies only and very little is understood about it in developing economies. 216 firm observations in mining sector for the period covering 2016 through 2021 were analysed using descriptive statistics and estimated generalised least square with period seemingly unrelated regression. The results suggest that the climate risk disclosure is significant in predicting company performance as proxied by earnings per share (EPS), economic value added (EVA) and return on equity (ROE). Policy makers and regulators should encourage companies to intensify climate risk disclosure so as to maximise value and benefit relevant stakeholders. The study contributes to the ongoing debates on climate risk by focusing on extractive industry, mining sector in a developed economy setting. Methodologically, the study developed an unweighted disclosure checklist that can guide companies on pertinent climate risk issues to disclose
Forecasting China-Africa economic integration using Wavelet- ARIMA hybrid approach
China-Africa economic integration generally looks lucid, as evidenced by rising bilateral trade, as well as Chinese FDI, aid, and debt financing for infrastructure development in Africa. The engagement, however, appears to be strategically channeled to benefit China’s resource endowment strategy. First, Chinese FDI in Africa is primarily resource-seeking, with minimum manufacturing value addition. Second, China has successfully replicated the Angola model in other resource-rich African countries, and most infrastructure loans-for-natural resources barter deals are said to be undervalued. There is also a resource-backed loan arrangement in place, in which default Chinese loans are repaid in natural resources. Third, while China claims that its financial aid is critical to Africa’s growth and development processes, a significant portion of the aid is spent on non-development projects such as building parliaments and government buildings. This lend credence to the notion that China uses aid to gain diplomatic recognition from African leaders, with resource-rich and/or institutionally unstable countries being the most targeted. The preceding arguments support why Africa’s exports to China dominate other China’s financial flows to Africa, and consist mainly of natural resources. Accordingly, this study aims to forecast China-Africa economic integration through the lens of China’s demand for natural resources and Africa’s demand for capital, both of which are reflected in Africa’s exports to China. The study used a MODWT-ARIMA hybrid forecasting technique to account for the short period of available China-Africa bilateral trade dataset (1992–2021), and found that Africa’s exports to China are likely to decline from US 13.68 billion in 2026 on average. This finding coincides with a period in which Chinese demand for Africa’s natural resources is expected to decline.https://systems.enpress-publisher.com/index.php/jipdhj2024Financial ManagementSDG-08:Decent work and economic growt
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
DISENTANGLING THE INNOVATION ORIENTATION, INTELLECTUAL CAPITAL, AND DYNAMIC INNOVATION CAPABILITY RELATIONSHIPS IN EMERGING ECONOMY START-UPS
Purpose: Based on the Dynamic Capabilities View (DCV) and Knowledge-based View (KBV), this study investigates the relationships between intellectual capital (IC) resources and dynamic innovation capabilities in the context of new ventures.Design/methodology/approach: Data for the study is collected from 311 start-up firms in Turkey and is analysed via Structural Equation Modelling.Findings: The results indicate that the effects of human capital and social capital on dynamic innovation capability are fully mediated by innovation orientation (IO). Besides, dynamic innovation capability is found to be strongly associated with innovation performance.Practical implications: In the study, IO is suggested as a useful mechanism for encouraging the deployment of an innovation focus in all functions of a firm for attaining long-term sustained competitiveness. Thereby, the findings are expected to present important implications for start-up founders and policy-makers, by highlighting the importance of knowledge management and investing in human and social capital resources for generating the capability to innovate.Originality/value: The most significant contribution of the study is the development of a model suggesting IO as a mediating variable between the IC resources and dynamic innovation capability relationship in the context of start-up firms. Furthermore, the findings indicate a positive and significant association between the dynamic innovation capability and innovation performance in these economic units.Managemen
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Disentangling the innovation orientation, intellectual capital, and dynamic innovation capability relationships in emerging economy start-ups
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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