Relationship between banking sector development and inclusive growth

Organizational performance can be seen as dependent on employee job performance and productivity. One of the factors that influence employee job performance and productivity is the working relationship between employees and their managers. This paper examines the influence of the relationship between employees and their managers on enhancing employee performance and productivity. The study was conducted in a financial organization based in Durban (South Africa). A quantitative approach was utilized with a census method targeting a total population of 40 administrative employees. A questionnaire was constructed based on the research aims and was administered to all 40 respondents. As a result, the response rate was 65%. Key findings indicated that the relationship between managers and employees did affect employee performance and productivity. A positive relationship with a manager is closely linked to increased motivation and performance, while a negative relationship is linked with poor performance. An overall negative impact and high level of dissatisfaction amongst employees were found due to the current bureaucratic management style that managers adopt in their organization. Thus, it makes employees less productive and decreases their work performance. Furthermore, it was found that employees’ perception of their relationship with managers plays a significant role in predicting job performance. Recommendations for a better working relationship to promote employee performance and productivity include manager-employee training, team building activities, skills development programs for managers, employee rewards and recognition, increased communication platforms, and more consideration for employee well-being.

This study aims to investigate the relationships between economic development and environmental degradation regarding the emissions of CO₂ and SO₂ in Southeast Asia (SEA). The pooling data consist of 10 countries, Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Singapore, the Philippines, Thailand, and Vietnam, in the period 2003-2012. Furthermore, income elasticity of CO₂ and SO₂ emissions is computed for each country to observe the sensitivity of environmental degradation through the emissions of CO₂ and SO₂ brought by economic development.
The results indicate that CO₂ displays an inverted U-shape pattern, whereas SO₂ has decreased at an increasing rate since 2003. It is expected that SO₂ will increase as the SEA economies further develop. The turning points for both CO₂ and SO₂, indicate that the current SEA income level has not reached the turning point. The income elasticities show that income elasticities for CO₂ are positive for all 10 countries. Both Singapore and Malaysia are classified as countries with high income. However, Singapore, with 0.64%, has the highest income elasticity, and Malaysia, with 0.15%, has the second lowest. There is no indication that wealthy countries have a significant impact on CO₂ through economic development. Income elasticities for SO₂ of each country are all negative. This suggests that SO₂ is an inferior good. Brunei, with 8.41%, has the most sensitivity toward change in SO₂ emissions, whereas Myanmar, with only 0.58%, is the least sensitive to SO₂ emissions.

The Working Capital Management (WCM) has an important role for the firm’s success or failure, because it directly affects the overall business health of the firm. This study examined the impact of WCM on profitability and shareholders’ wealth using 50 companies listed in different sectors on the Colombo Stock Exchange (CSE) for the period from 2010 to 2015. This sample represents 47% of the selected sectors of CSE. The profitability of the company is measured using gross operating profit (GOP) and shareholders wealth measured by Tobin’s Q (TQ) ratio. The WCM is measured using five independent variables namely stock holding period (SHP), debtors’ collection period (DCP), creditors’ settlement period (CSP), cash conversion circle (CCC) and current assets ratio (CAR). Further, three additional variables such as firm size (SIZE), leverage (LEV) and earning yield (EY) are employed as controlling variables to capture the impact of other performance of the companies.
The data were analyzed using ordinary least square (OLS) and panel data regression models. These regression models reveal that there is a significant negative relationship between CCC and dependent variables (GOP & TQ). Further, this relationship has been confirmed by the major components of CCC such as SHP, DCP. Firm size also positively and significantly effects on the firm GOP while negatively effects on the TQ. Further, they revealed that there is a significant positive relationship between LEV and TQ. The study finds that the shareholders’ wealth and profitability can be increased through the efficiency of WCM.