Asian Journal of Economics, Business and Accounting
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Research on the Development Level and Coupling Coordination of Enterprise Business Environment in the Yangtze River Delta Region
No full textThe business environment of enterprises is a key field for development and reform in China\u27s economy in the new era. Improving the business environment is an important guarantee for the high-quality development of China\u27s economy. This paper divides the development index of urban business environment in the Yangtze River Delta region into five dimensions: public service, market environment, factor supply, innovation environment and ecological environment, 12 sub-indicators and 23 basic indicators. It employs the entropy method to measure the level of the business environment in the Yangtze River Delta region from 2010 to 2022 and utilizes the coupling coordination model to analyze the coupling coordination relationship of the business environment development level. The results show that: (1) The development level of the business environment in the Yangtze River Delta region exhibits a monotonically increasing trajectory with sustained high growth. The development level of each dimension exhibits a fluctuating upward trend. (2) The development level of the business environment in various cities within the Yangtze River Delta region is persistently uneven and diverging. (3) The level of coupling and coordination between the various dimensions of the business environment development in the Yangtze River Delta region and among different cities has improved marginally, yet the region remains in a state of nascent coordination. However, the gap between most cities tends to narrow, and development is becoming more balanced and stable
Production Performance of Smallholder Upland and Swamp Rice Farmers by Gender in Ebonyi State, Nigeria
No full textAims: The study examined the production performance of smallholder upland and swamp rice farmers by gender in Ebonyi State, Nigeria. It aimed to describe the socio-economic characteristics of male and female farmers in relation to the technology gap and estimate their production functions across rice production ecologies.
Study Design: A cross-sectional survey design was adopted, which integrated the use of descriptive statistics and econometric tools to analyze gender differences in production outcomes.
Place and Duration of Study: The study was conducted in Ebonyi State, Nigeria, covering the North, Central, and South agricultural zones, from January to July 2025.
Methodology: A multi-stage sampling technique was used in selecting 180 rice farmers, 72 upland and 108 swamp, stratified equally by gender. Primary data were gathered using structured questionnaires. Descriptive statistics were used for socio-economic profiling. The Cobb-Douglas production function estimated productivity levels, while the Chow test assessed gender-based structural differences. The Technology Gap Ratio (TGR) measures the extent of technology adoption.
Results: The majority of farmers were married, with male swamp farmers recording the highest rate (77.8%). Female swamp farmers had the highest TGR (92.42%), suggesting greater technology adoption, especially among those in cooperatives (TGR = 115.01%). For male upland farmers, farm size, seeds, fertilizer, and agrochemicals significantly influenced output. Female upland farmers were affected by farm size, seeds, and fertilizer, while capital had a negative effect. In swamp systems, male output was influenced by seeds, labour, and capital, while female output depended on farm size and capital. Returns to scale were increasing for male and female upland (RTS = 2.605; 2.751) and male swamp farmers (1.441), but decreasing for female swamp farmers (0.523). The Chow test confirmed significant gender-based structural differences.
Conclusion: Gender and production systems significantly influence productivity. Gender-responsive policies are needed to enhance women’s access to land, inputs, and extension support in swamp systems
Financial Performance and Market Response: Profitability Effects on Share Prices in the Indonesian Cigarette Sector
No full textThe purpose of this research is to examine how the share price of cigarette subsector companies listed on the Indonesia Share Exchange (IDX) was affected by profitability as determined by Return on Equity (ROE), Net Profit Margin (NPM), Earnings Per Share (EPS), and Price Earning Ratio (PER) between 2015 and 2024. The approach used is quantitative by conducting multiple linear regression analysis as the analysis technique using an analytical tool, namely SPSS version 25. The findings in the research process demonstrate that the four independent variables have a significant impact on share prices at the same time as evidenced by the f test findings, which indicate a 0.000 significance value. However, with significance values of 0.213 and 0.280, respectively, ROE and NPM do not significantly affect the outcome. With a significance score of 0.000 on the other hand, indicates that EPS has a positive and significance impact and PER also has a positive and significance impact on share price with a significance value of 0.004. These results suggest that EPS and PER play a significant role in assessing the value of the subsector\u27s shares, therefore investors can use this a tool to forecast investment value and making informed trading decisions based on the financial performance information
Leveraging AI in Finance as a Catalyst for Improving Financial Literacy and Reducing NPAs
No full textPurpose: This study explores how artificial intelligence (AI) can serve as a catalyst for enhancing financial literacy and indirectly reducing Non-Performing Assets (NPAs) across diverse populations. Financial literacy is essential for informed decision-making, yet many individuals lack the knowledge required to navigate complex financial landscapes, leading to poor credit practices and rising NPAs. AI technologies—such as chatbots, personalized learning platforms, and predictive analytics—offer innovative solutions to address these challenges.
Methodology: The study employs secondary data analysis, reviewing existing literature, industry reports, and academic studies that evaluate the effectiveness of AI-driven tools in financial education. Case studies from organizations implementing AI-based financial literacy initiatives are analyzed to assess their outcomes.
Research Gap: Although AI is increasingly used in finance, limited research explores its combined impact on financial literacy and NPA reduction, particularly regarding user behavior, accessibility, ethics, and scalable implementation across diverse populations.
Findings: Results indicate that AI-enabled tools significantly improve financial literacy, leading to better decision-making, enhanced credit awareness, and improved repayment discipline, which in turn helps curb NPAs. Users reported stronger understanding of financial concepts, increased confidence in managing finances, and greater engagement with financial content.
Implementation: AI can be integrated into financial services through chatbots for customer support, gamified financial education apps, predictive analytics for risk assessment, and robo-advisory services. Collaboration between financial institutions, educators, and policymakers is necessary for widespread adoption.
Conclusion: Leveraging AI in finance enhances financial literacy, promotes responsible borrowing, and reduces NPA risks. Future research should explore scalability, long-term impacts, and the ethical considerations of AI adoption in financial literacy programs
Analysis the Effect of Job Enrichment, Job Engagement, Team Work and Organization Culture on Organizational Commitment with Job Satisfaction as Mediating Variable on Vocational School Surabaya
No full textAims: Organizational commitment is crucial for ensuring the long-term sustainability and performance of vocational schools. This study aimed to investigate how job enrichment, job engagement with job satisfaction as mediating role.
Study Design: This research is quantitative study by using random sampling, the primary data by distributing questionnaires.
Place and Duration of Study: The sample were 165 a teacher from vocational school Surabaya. The method used SEM.
Methodology: This research is quantitative research. The population of all private vocational school teachers in Surabaya. Sampling technique with random sampling with a total of 165 teachers of SMK swsata in Surabaya (according to the questionnaire returned). The data analysis technique using SEM (Structural Equation Modelling) is 100-200 (sugiyono, 2010).
Results: The result are job enrichment affects job satisfaction, job engagement affects job satisfaction, team works has no effect on job satisfaction, organizational culture has no effect on job satisfaction, job enrichment affects organizational commitment, job engangement affects organizational commitment, team works affects organizational commitment, organizational culture affects organizational commitment, job satisfaction affects organizational commitment, transformational leadership moderates the influence of job satisfaction on organizational commitment.
Conclusion: The sustainability of the management of the learning system in vocational high school institutions must of course be maintained in order to help or contribute to the community to develop human resources in a sustainable manner through various variables that have been described previously
Resource Dedication and Performance of Savings and Credit Cooperative Societies in Garissa County, Kenya
No full textThis study examined the effect of resource dedication on the performance of SACCOs in Garissa County, Kenya. The research was grounded in the Resource-Based View theory. A descriptive research design was adopted, targeting all 121 employees of SACCOs within the county. To ensure comprehensive representation, a census sampling technique was employed. Primary data was collected through structured questionnaires. The validity of the instruments was assessed using content validity, while reliability was tested using Cronbach’s alpha at 0.7 threshold. Data analysis involved both descriptive and inferential statistical techniques. Descriptive statistics were used to summarize the data, while inferential statistics helped establish the relationship between variables. The study found that, at a 5% level of significance, resource dedication has a statistically significant positive effect on the performance of SACCOs in Garissa County. Based on these findings, the study recommends that SACCOs in the region implement policy interventions focused on strengthening financial oversight
Effect of Inventory Management on Competitiveness of Food and Beverage Manufacturing Firms in Uasin Gishu County, Kenya
No full textThe food and beverage processing sector in Kenya is vital to the national economy due to its role in job creation and its contribution to GDP. However, its competitiveness has faced challenges stemming from high operational costs and inefficient supply chain processes. This study examined the effect of inventory management on competitiveness of food and beverage manufacturing firms in Uasin Gishu county, Kenya. The study was guided by the Resource-Based View Theory. An explanatory research design was adopted, targeting 924 departmental staff across 22 food and beverage firms. A sample of 279 respondents was selected using Yamane’s formula and simple random sampling employed. Data was collected through structured, closed-ended questionnaires, and a pilot study in Nakuru County was conducted to validate the research instrument. Data analysis was performed using SPSS version 25, incorporating both descriptive and inferential statistics, including correlation and hierarchical regression analyses. Findings revealed that inventory management (β1=0.152, p=0.004) significantly and positively influenced competitiveness. The study concluded that effective inventory management greatly contributes to the increase in competitiveness among food and beverage manufacturing firms in Uasin Gishu County. The study recommends that food and beverage firms should enhance their inventory management systems by integrating advanced tools and practices such as regular audits, forecasting, and lean inventory strategies. The study\u27s findings will be valuable to food and beverage manufacturing firms by informing managers on optimizing limited resources for competitive advantage through inventory management, guiding the Ministry of Trade in policy formulation within Kenyan borders, and contributing to the broader academic discourse
Artificial Intelligence and Human Resource Adaptability to Employee Performance: The Mediating Role of Job Satisfaction
No full textThis study analyzes the effect of Artificial Intelligence (AI) utilization and human resource (HR) adaptability on employee performance, with job satisfaction as a mediating variable in Micro, Small, and Medium Enterprises (MSMEs) in Malang City. Using a quantitative explanatory design, data were collected from 88 purposively selected respondents and analyzed with Partial Least Squares-Structural Equation Modeling (PLS-SEM). The results show that AI utilization and HR adaptability significantly increase job satisfaction, which positively affects employee performance. HR adaptability also directly improves performance, while AI utilization does not show a direct effect but has an indirect impact through job satisfaction. Furthermore, job satisfaction mediates the influence of AI utilization and HR adaptability on employee performance. These findings confirm that the effectiveness of AI in MSMEs depends on employees\u27 Adaptability and satisfaction, emphasizing the importance of strengthening HR adaptability and managing job satisfaction to optimize AI adoption and enhance MSME competitiveness in the digital era
The Impact of Official Development Assistance on Reducing Maternal Mortality Rate in Asian-Pacific Developing Countries
No full textThe study explores the relationship between Official Development Assistance (ODA) and maternal mortality in 24 developing countries in the Asia-Pacific region. Despite significant progress in development in many high-income nations, developing countries still face persistent challenges, particularly in maternal health, with rising maternal mortality rates. This research aims to investigate the impact of ODA on reducing maternal mortality in these countries over a period spanning from 2000 to 2020. Utilizing panel data for 24 developing Asian-Pacific countries, the study adopts a quantitative and explanatory approach, employing purposive sampling based on the classification of countries as low-income or lower-middle-income. The analysis was conducted using STATA 18.0, with a focus on a fixed effects model, followed by the Generalized Method of Moments (GMM) to confirm the robustness of the results. Secondary data for the analysis were sourced from the World Bank (WB) and the Organization for Economic Cooperation and Development (OECD). The findings of the study reveal a significant negative correlation between Net Official Development Assistance (NODA) and maternal mortality rates. Furthermore, factors such as HIV prevalence and access to sanitation services were found to influence maternal health outcomes. Specifically, higher HIV prevalence was linked to higher maternal mortality, while improved sanitation services contributed to a reduction in maternal deaths. Interestingly, the study found that GDP growth was positively correlated with maternal mortality, which suggests that economic growth alone may not be sufficient to reduce maternal deaths. This finding emphasizes the complexity of the relationship between economic development and health outcomes, highlighting that economic growth needs to be complemented by targeted interventions in healthcare, education, and sanitation. The study concludes that for long-term improvements in maternal health outcomes, effective aid management, institutional reforms, and robust monitoring systems are crucial. Policymakers in developing countries should recognize the interconnectedness of economic growth, education, healthcare infrastructure, and sanitation services when designing strategies to reduce maternal mortality. Moreover, international aid, particularly NODA, plays a vital role in improving maternal health outcomes in resource-constrained settings. Therefore, the study advocates for a comprehensive and coordinated approach that combines both domestic policy improvements and international support to achieve sustainable reductions in maternal mortality
Human Resource Practices, Employee Commitment and Performance in Kenya
No full textThe purpose of this paper was to investigate the mediating role of employee commitment on the relationship between human resource practices and employee performance in Turkana County. This study adopted explanatory survey design. The study used a sample of 362 employees. This study used stratified random sampling to select respondents across the various departments in the County government. Findings indicated that employee: recruitment, remuneration, work-life balance and employee training positively and significantly influence employee performance. In addition, the regression results showed that employee commitment positively and significantly mediated the relationship between employee recruitment and employee performance, employee training and employee performance, employee remuneration and employee performance, work life balance and employee performance among employee in Turkana County government. The study recommends that the Turkana County government should make financial investments in staff training and development programs in order to improve performance. Moreover, it is essential to put in place a solid performance management system in order to define and communicate clearly, what is expected of employees in terms of performance, as well as to provide consistent feedback and conduct performance reviews. Additionally, Turkana County government may develop remuneration systems that are both fair and competitive, as well as programs that provide appropriate rewards and recognitio