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The impact of financial management and public policy on economic performance: A time series analysis in Bengkulu Ariska, Fitriani; Pakri, Pakri
Priviet Social Sciences Journal Vol. 4 No. 10 (2024): October 2024
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v4i10.349

Abstract

This study examines the relationship between financial management and public policy on economic performance in Bengkulu, Indonesia, using a time series approach over four years. The research incorporates eight key variables, including government spending, tax revenue, inflation rate, interest rate, public debt, economic growth, financial inclusion, and investment level. Employing the EViews software for data analysis, the study applies econometric techniques such as unit root tests, cointegration analysis, and vector error correction models (VECM) to assess short-term and long-term interactions among the variables. The findings highlight the significant role of fiscal policies and financial management in shaping economic stability and growth. Furthermore, the results provide policy implications for improving financial strategies to enhance economic performance in Bengkulu. This study contributes to the existing literature by offering empirical evidence on the interplay between financial management and public policy within a localized economic context.
Leveraging Human Capital for Performance Enhancement in Indonesia Technology Sector Arsyah, Teguh Dwi; Pakri, Pakri
Journal of Economics and Business Letters Vol. 4 No. 3 (2024): June 2024
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/jebl.v4i3.323

Abstract

This study analyzes the impact of human capital on the performance of technology companies in Indonesia, focusing on key variables such as education level, work experience, training and development, employee retention, and innovation capacity. This study employed a quantitative approach, utilizing data collected from 150 technology companies in Indonesia through structured questionnaires and company records. Regression analysis was used to evaluate the relationships between the identified human capital variables and company performance, measured by return on assets (ROA). The results reveal that education level, work experience, and innovation capacity significantly and positively affect company performance. Training and development also show a positive, albeit marginally significant, impact, while employee retention has a negative impact on performance. These findings highlight the critical role of human capital in driving technology companies’success in Indonesia. This study suggests that technology companies should prioritize enhancing their employees' educational qualifications, retaining experienced staff, investing in continuous training and development, and fostering a culture of innovation. These strategies can help tech companies sustain their growth and maintain a competitive edge in rapidly evolving markets. This study provides a comprehensive analysis of the specific human capital variables that influence the performance of technology companies in Indonesia. It addresses a gap in the literature and offers valuable insights for business leaders and policymakers on strategic human capital investments to achieve sustainable growth and competitiveness.