Asian Journal of Economics, Business and Accounting
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The Relationship between Inflation and Economic Growth in Indonesia: A Time Series Approach
No full textAims: This empirical research aims to provide insight regarding the nexus between inflation and economic growth in Indonesia, while simultaneously controlling for the impact of capital formation and population growth.
Methodology: This research relies on time-series data spanning from 1985 to 2023. All the data estimated were obtained from the World Bank. Inflation is proxied by the Consumer Price Index (CPI). The Autoregressive Distributed Lag (ARDL) Bounds testing technique is utilized to examine the dynamic relationships, as well as the Toda-Yamamoto (TY) test for unraveling the direction of causal linkages.
Results: CPI is negatively associated with economic growth in Indonesia during the sample period, indicating the damaging impact of inflation. Higher inflation rates hamper business activities and purchasing power parities, and consequently, decline total output growth. Regarding control variables, gross fixed capital formation and the working-age population are positively associated with economic growth as expected. The results obtained from the TY test signify bidirectional causality between inflation rates and economic growth.
Conclusion: Following the empirical findings, it is crucial to maintain inflation rates at a low level to spur economic growth
Tea: An Untapped Gold Mine for Nigeria’s Economy
No full textThe tea plant is an evergreen shrub or tree which produces shoots which can be harvested through guided pruning to maintain a plucking table. The leaf buds and the internodes of the plant are also plucked along with the leaves which are then processed and cured by various methods to produce an aromatic beverage in combination with hot or boiling water. This research work was carried out to publicize tea as an untapped gold mine in Nigeria. Tea is considered to be a foreign exchange earner which has created several million jobs in many producing countries where tea leaves are produced annually. The study seeks to uncover the level of tea production in Nigeria and the roles of tea farmers, tea companies, government as well as other stakeholders in the value chain. Tea plays an important role in poverty reduction, economic growth, food security and income generation in countries that engage in its production. Nigeria’s contributions to tea production have gone unnoticed by all and sundry. The government is yet to take seriously the economic benefit associated with tea cultivation and Nigeria is not recognized as one of the leading tea producers. Desk research was carried out using past published literature. The study areas were states where tea is being produced in Nigeria. The research unveiled the potential of Nigeria which could make her to be acknowledged as one of the leading producers of tea in the world considering the vast resources for tea production at the disposal of the country. The research established the fact that tea production is facing a lot of problems in Nigeria. These include climate variability in the form of adverse weather conditions which affect the yield as well as the quality of tea. There are also issues of trade policies and economic instability which affect tea producers, especially small farmholders. There are also problems associated with pests and diseases, labour issues, fluctuating prices, inadequate infrastructure, and limited access to finance. The volume and the price of tea consumed in Nigeria have been growing over the years. The reason for this may be attributed to the increased awareness of the health benefits of drinking tea among the populace. The tea subsector of Nigeria\u27s economy is seen as an untapped gold mine in spite of the enormous resources such as land and favorable climate conditions to do that. It was, however, recommended that tea farmers should adopt climate-smart agriculture as a means to mitigate the effects of climate change on their crops. There should be the reintroduction of a marketing board especially in the tea sub-sector to see to the affairs of tea marketing in the country. The government could also encourage private and public partnerships on investments in building modern processing plants for tea processing
Green HRM Practices and Its Influence on Organizational Culture and Environmental Performance in Chennai\u27s IT Sector
No full textThis study explores the impact of Green Human Resource Management (Green HRM) policies on organizational culture and environmental performance within the IT sector in Chennai. Adopting a quantitative research approach, multiple regression analysis and Structural Equation Modeling (SEM) were employed to assess the relationships among key variables. The findings reveal that Green HRM policies significantly enhance organizational culture (R² = 0.68, p < 0.01), with Green Performance Management (β = X.XX, p < 0.01) and Green Training & Development (β = X.XX, p < 0.05) playing the most influential roles.Moreover, a strong positive relationship (r = 0.64, p < 0.01) was established between environmental performance and organizational culture, where companies integrating sustainability into their culture are more likely to achieve higher efficiency in terms of resources and waste management (R² = 0.62, p < 0.01). The research further proves that environmental performance is directly influenced by Green HRM (R² = 0.57, p < 0.01), while SEM also supports the fact that organizational culture mediates this relationship partially. The outcomes emphasize the significance of not only adopting Green HRM practices but a sustainability-driven workplace as well in order to achieve maximum environmental performance. The findings are in line with previous research and provide useful insights for IT companies looking for ways to improve their sustainability performance
A Study on the Trade Competitiveness and Complementarity of Industrial Robots between China and Regional Comprehensive Economic Partnership Member States
No full textThe objective: To analyze the trade scale, structure, and potential of industrial robots between China and other Regional Comprehensive Economic Partnership member countries, and propose strategies for enhancing trade cooperation.
Methodology: We conducted a retrospective quantitative analysis (2014-2023) using empirical trade indices applied to bilateral trade data primarily sourced from UN Comtrade. The study comprised: (1) assessing trade volume trends and market structure concentration; (2) evaluating trade potential through three established indices: the Trade Competitiveness Index (TC) and Revealed Comparative Advantage Index (RCA) to measure competitive advantages, and the Trade Complementarity Index (TCI) to assess structural matching of exports and imports. These indices were selected for their proven ability to quantify distinct trade dynamics relevant to potential.
Findings: Trade volume grew 77.41% (2014-2023) with high market concentration (Japan/South Korea/Singapore: 80.8% share). Revealed Comparative Advantage Index (RCA) analysis revealed a declining comparative advantage for China (-1.66), though Vietnam/Thailand showed gains. Trade Complementarity Index (TCI) revealed China gained competitiveness in service robots but faced deficits in production/multifunctional robots. Through the lens of the above, the study enables trade structure optimization trade structure through RCEP exchanges., ultimately uncovering new perspectives for trade cooperation.
Recommendation: The study concludes that optimization of China\u27s export structure is needed while addressing diversified market demand. Enhanced bilateral and multilateral cooperation is critical for leveraging complementary advantages and achieving mutual benefits in the industrial robotics trade. These recommendations ultimately support win-win development under the Regional Comprehensive Economic Partnership framework
The Relationship between Healthcare Digital Marketing Exposure and Health Improvement Practices among Students at a Medical School in Davao: A Mixed Methods Study
No full textAims: This study explores the relationship between healthcare digital marketing exposure and health improvement practices among Grade 12 students in the Accountancy, Business, and Management (ABM) strand. It also aims to clarify how digital marketing influences their health-related behaviors, providing insights relevant to both educational and healthcare sectors.
Study Design: This was a mixed-methods study utilizing an explanatory sequential design.
Place and Duration of Study: The research was conducted at a medical school in Davao City from August to December 2024.
Methodology: The study involved 66 Grade 12 ABM students who participated in the quantitative phase through a researcher-made survey, selected using total sampling. For the qualitative phase, 15 students were chosen through purposive sampling and participated in semi-structured Focus Group Discussions (FGDs). Quantitative data were analyzed using statistical tools such as mean and Pearson r test, while qualitative data were examined using thematic analysis. Triangulation was applied to compare and validate the findings from both phases.
Results: A significant positive relationship was found between exposure to healthcare digital marketing and the adoption of health improvement practices (p < 0.05). Students reported moderate exposure to healthcare digital marketing (mean = 3.34) and high engagement in health improvement practices (mean = 3.46). Thematic analysis from the FGDs supported these statistical results, with participants stating that exposure to digital healthcare content through platforms such as social media, healthcare websites and blogs, and email marketing influenced their decisions related to diet, exercise, and health product consumption.
Conclusion: The study highlights the relevance of digital marketing in shaping youth health behaviors. Findings suggest that targeted digital health campaigns can effectively influence students\u27 wellness practices. Practically, the study underscores the need for integrating digital health literacy programs in the curriculum to empower students to critically assess online health information and adopt healthier lifestyles
Big Data Analysis and Its Role in Enhancing Tax Audit Efficiency
No full textAims: This study aims to analysis the impact of big data on improving tax audit efficiency, focusing on the challenges facing traditional methods such as tax evasion, complex legislation, and the difficulty of taxing digital activities.
Study Design: The research employs a descriptive-analytical approach, distributing a questionnaire to 44 employees from the Tax Audit Department at the General Tax Authority.
Methodology: Data were analyses using SPSS, with statistical tests such as linear regression and Pearson’s correlation coefficient applied.
Results: The researcher found statistically significant evidence of the effect of big data analysis on enhancing tax audit efficiency. The independent variable (big data analysis) achieved a high mean score (μ = 4.052). In contrast, the dependent variable (tax audit efficiency) reached a mean of (μ = 4.168), reflecting the sample’s awareness of the importance of this technique.
Conclusion: Among the most important recommendations are the investment of financial resources in updating technological systems, training staff, and enhancing international cooperation to combat cross-border tax evasion, as well as simplifying legislative procedures to keep pace with digital developments
The Influence of Tax Knowledge and Perception of Taxation on the Voluntary Disclosure Program and Its Implications for Taxpayer Reporting (An Empirical Study on Individual Taxpayers Registered at KPP Pratama Kuningan)
No full textObjective: This research aims to analize the influence of tax knowledge and tax perception on taxpayer reporting, with the voluntary disclosure program (VDP) as an intervening variable.
Study Design: This study consists of individual taxpayers registered at the Tax Service Office (KPP) Pratama Kuningan.
Methodology: This research adopts a quantitative approach with an explanatory research design. The population consists of 608,311 individual taxpayers registered at the Primary Tax Service Office in Kuningan (KPP Pratama Kuningan) in 2023. Using the Slovin formula with a 5% margin of error and simple random sampling technique, a total of 400 respondents were selected as the research sample. Data were collected through questionnaires and analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The model evaluation included both the outer model (measurement model) and inner model (structural model). In addition, the Sobel test was utilized to further evaluate the mediating role of the voluntary disclosure program.
Results: The hypothesis testing results indicate that both tax knowledge and tax perception have a significant positive partial effect on the voluntary disclosure program. Furthermore, these two variables also have a significant positive partial impact on taxpayer reporting behavior. The Voluntary Disclosure Program itself significantly enhances taxpayer reporting. Additionally, the analysis confirms that the VDP partially mediates the effect of both tax knowledge and tax perception on taxpayer reporting. The combined influence of tax knowledge and perception accounts for 24.8% of the variance in participation in the VDP, while 39.9% of the variation in taxpayer reporting is jointly explained by tax knowledge, tax perception, and participation in the VDP.
Conclusion: Taxpayers’ tax knowledge and perception significantly influence taxpayer reporting both directly and indirectly through the voluntary disclosure program
Modelling Currency in Circulation in Ghana: An Application of Extreme Value Theory
No full textThis study aims to model Currency in circulation (CiC), ascertain the volatility characteristics, evaluate the risk, and predict the future volatility of CiC in Ghana. CiC influences inflation, monetary policy, and overall economic stability. This will help the Bank of Ghana in achieving and maintaining price stability, formulate and implement monetary policy instruments to influence interest rates, and manage liquidity. Leveraging 415 data points spanning from 1990 to 2024, the analysis reveals that the CiC data exhibit heavy-tailed characteristics, positive skewness, and high kurtosis. These features indicate the presence of significant outliers and extreme events that may not be adequately captured by conventional models. The analysis employs both the Generalized Pareto Distribution (GPD) and the Generalized Extreme Value (GEV) models through block maxima and threshold-based methodologies. These models, grounded in extreme value theory (EVT), enable robust estimation of the probabilities and magnitudes of extreme events. This approach effectively estimates tail risk measures, particularly Value-at-Risk (VaR) and Expected Shortfall (ES). The CiC exhibits high volatility, as evidenced by the elevated standard deviations of the scale parameters, specifically 0.08296 and 1.8263. The fitted GPD models yield insights into the likelihood and severity of extreme events, underscoring the risks associated with extreme but impactful occurrences in both directions (gains and losses). The VaR estimates, computed at the 99th percentile, are 54.81% for monthly positive returns and 44.17% for negative returns. The Expected Shortfall estimates are 676.79% for monthly positive returns and 194.24% for negative returns
Perceptions of Fraud Prevention Strategies in Higher Education: A Comparative Study of Students, Lecturers, and Educational Staff
No full textAims: Fraud in the higher education environment is becoming increasingly complex, involving a range of violations that span from academic dishonesty, document forgery, and financial misappropriation. This study aims to analyze the differences in perceptions of fraud prevention strategies based on academic status (students, lecturers, and education personnel). Fraud prevention strategies are examined through four main dimensions: prevention, detection, investigation, and sanctions, as well as monitoring and evaluation.
Population and Sample: The population in this study consisted of academicians in the college environment, including students, lecturers, and educational personnel. Sampling techniques were employed using purposive sampling, with participants meeting the criteria of having at least one year of experience in higher education institutions.
Methodology: A quantitative approach was used in the research design and multivariate analysis of variance (MANOVA) was used to analyze data from 161 respondents obtained through purposive sampling.
Results: The instrument was adapted from the Fraud Triangle and Fraud Diamond theories, as well as the COSO control framework. The MANOVA results show that academic status has a significant effect on the perception of the fraud prevention strategy (p < 0.05). Significant differences were found in the dimensions of detection, investigation, and monitoring, where lecturers had higher perceptions than students.
Conclusion: This finding confirms the importance of a participatory approach to designing fraud prevention strategies that involve all elements of the academic community. Equitable anti-fraud literacy training is recommended to strengthen collective supervision and foster a culture of integrity in higher education institutions
Finance Factor Influential Towards Company Value in Perspective Theory Signal (Study Empirical Food and Beverage Companies on the Indonesia Stock Exchange)
No full textAims: This study aims to test the influence of size, leverage, and profitability on company value.
Study Design: The design of this research study is correlational.
Place and Duration of Study: Indonesian Stock Exchange (IDX) issuers in 2024.
Methodology: A population of 98 companies in the food and beverage sector was listed on the Indonesia Stock Exchange (IDX) in 2024, while a sample of 69 selected companies was purposively selected. Data obtained from the Financial Data Ratio on the IDX website. Technique analysis using a multiple linear regression model with SPSS 24 tools.
Results: Research results indicate that the size of the company has not significant negative influence on company value, while the debt-to-assets ratio (DAR) and return on assets (ROA) have a positive and significant impact on company value.
Conclusion: Based on the results of the contribution study, this supports signalling theory by giving proof of empirical enhancement of company size, leverage, and profitability in increasing company value