This study was aimed at finding out the influence, both simultaneously and partially, of the variables ‘competence, work environment, and work discipline’ on the performance of the staff of the Regional Civil Service Agency of Malang City and finding out the most dominant between the variables ‘competence, work environment, and work discipline’ in influencing the staff of the Regional Civil Service Agency of Malang City. The variables in this study consisted of independent variables: competence, work environment, and work discipline, while the dependent variable is the performance of the staff of the Regional Civil Service Agency of Malang City. The population was all staff of the Regional Civil Service Agency of Malang City as many as 110 people. The sample was taken using an accidental sampling technique, namely a paired sample, so the study sample was 110 people. From the results of the study, it can be concluded that the variables ‘competence, work environment, and work discipline’ are simultaneously proved to influence the performance of the staff of the Regional Civil Service Agency of Malang City and the three variables cannot be separated from each other and are a unified whole in supporting the staff performance with a contribution of 68.8%, while the remaining 31.2% were influenced by other variables not included in this study. Meanwhile, separately, the three variables are proved, partially/individually, to have a significant influence on the performance of the staff of the Regional Civil Service Agency of Malang City. Of the three independent variables ‘competence, work environment, and work discipline’, the one has the most dominant influence on the performance of the staff of the Regional Civil Service Agency of Malang City is the variable ‘competence.’ The purpose of employee performance appraisal is to provide feedback to employees to improve their performance and increase organizational productivity.
The purpose of this study was to determine the effect of the money supply ratio, bank credit ratio, and domestic saving ratio on economic growth. both in the short and long term. Empirically, this study uses secondary data in the form of quarterly data during the 2008 - 2018 period with the Error Correction Model (ECM) method. We find that the money supply ratio, bank credit ratio, and domestic saving ratio have a positive and significant effect on economic growth in Malaysia.
This study aims to investigate the causal relationship between Green Economics Development, Urban Construction, Green Resource Environment, Green Financial Support on Green Economics using the ARDL model. We find that Indonesia's economic development is increasing leading to green economics. Human mobility has a negative impact on the preservation of nature in the future. The resource environment when processed properly will support green economics. Green financial support has proven to have a positive impact on green economics both in the short and long term.
This study aims to determine the role of technology, especially the internet, and investment trends in the non-financial sector in the development of the Malaysian economy. We take data from the World Bank as a secondary source for the years 2000 to 2020, From our estimation results, We find that the variables we estimate have long-term and short-term correlations such as the variable economic growth with the development of internet users and economic growth with investment, in the short term an increase in the development of internet users will have a positive effect on economic growth, but in the long run, the opposite is true. , it is different with investment and economic growth variables, in the short term this variable will have a negative impact on economic growth, but in the long term, an increase in investment will greatly affect the performance of economic growth. This shows that in the long term, digitalization of the economy is still a significant step in projecting economic growth in Malaysia.
This study investigates internet users, Technology, taxes and Economic Growth. This study investigates data at the start point year of 2000 to 2020 to generate "autoregressive vectors" that can be utilize for determine relationship among the variables. This model is to analyze among Technology, Taxes and Economic Growth at Indonesia using secondary data from the World Bank. We discovered that if the Inflation was high in Indonesia, it can cause a setback to Information Communication and Technology, but this is not the case for Economic Growth, which has been stated that the higher Inflation in Indonesia, the higher Economic Growth will be, just as a decrease in Inflation will have an impact. good for Information Communication and Technology.
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