• Title/Summary/Keyword: Economics Growth

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The Impact of Capital Structure on Firm Performance: Evidence from Vietnam

  • NGUYEN, Hieu Thanh;NGUYEN, Anh Huu
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.4
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    • pp.97-105
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    • 2020
  • This paper explores the impact of capital structure on firm performance in the context of Vietnam. The paper investigates the different effect of capital structure on firm performance in state-owned and non-state enterprises listed on the Vietnam stock market. The panel data of research sample includes 488 non-financial listed companies on the Vietnam stock market for a period of six years, from 2013 to 2018. The Generalized Least Square (GLS) is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, firm performance is measured by return on equity (ROE), return on assets (ROA), and earnings per share (EPS). The ratios of short-term liabilities, long-term liabilities, and total liabilities to total assets are proxy for capital structure. Firm sizes, growth rate, liquidity, and ratio of fixed assets to total assets are control variables in the study. The empirical results show that capital structure has a statistically significant negative effect on the firm performance. The result also shows this effect is stronger in state-owned enterprises than non-state enterprises in Vietnam. These evidences provide a new insight to managers of both state-owned and non-state enterprises on how to improve the firm's performance with capital structure.

The Effect of Capital Structure on Financial Performance of Vietnamese Listing Pharmaceutical Enterprises

  • DINH, Hung The;PHAM, Cuong Duc
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.329-340
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    • 2020
  • This study investigates the effect of capital structure on the financial performance of pharmaceutical enterprises which are listing on Vietnam's stock market. The study builds the regression using ROE as dependent variable and four independent variables, including self-financing, financial leverage, long-term asset and debt to assets ratios. In addition, we use other variables as controlling ones, such as firm size, fixed asset rate and growth. We collect data for the period from 2015 to 2019 of all 30 pharmaceutical enterprises which are currently listing on Vietnam's stock market. The least square regression (OLS) is used to test the effect of capital structure to the firms' financial performance. The analysis results show that the financial leverage ratio (LR), long-term asset ratio (LAR) and debt-to-assets ratio (DR) have positive relationship with firm performance, meanwhile the self-financing (E/C) affects negatively to the return on equity (ROE). Upon the findings we suggest that the Vietnamese government should focus on stabilizing macro environment to create favorable environment for enterprises. And the pharmaceutical enterprises should build more reasonable capital structure with higher debt proportion than equity, diversifying loan mobilization channels such as issuing long-term bonds. Additionally, the firms should expand the scale appropriately to maintain development and ability to pay debts.

Research on the Evaluation and Promotion Plan of Competitiveness of Chinese Cultural and Creative Industries - Taking Provinces and Cities Along the "Belt and Road" As an Example

  • Chen, Lu;He, Jia;Bae, Ki-Hyung
    • International Journal of Contents
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    • v.16 no.3
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    • pp.66-86
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    • 2020
  • With the rapid growth of high-tech, the development of cultural and creative industries has gradually become the focus of national industrial development. With the proposal of China's "Belt and Road" strategy, the role of cultural and creative industries in the provinces and cities along the "Belt and Road" in the entire international trade is becoming increasingly critical. It is necessary to explore solutions to improve the competitiveness of China's cultural and creative industries, factoring the surrounding cities of the "Belt and Road" as an example. Thus, this paper proposes the six-element diamond model based on innovation capability and government support to render a comprehensive evaluation of the competitiveness of the cultural and creative industries in the 31 provinces and cities across the country. The results show that the overall competitiveness of the 18 provinces and cities along the "Belt and Road" cultural and creative industries is weak. Focusing on the 18 provinces and cities along the "Belt and Road", using the linear regression measurement model quantitative analysis, the four types of influencing factors affecting the development of the competitiveness of cultural and creative industries along the "Belt and Road" were obtained. Finally, according to the four types of influence, the competitiveness improvement plan is proposed from the four aspects: government role, consumption preference, industrial innovation ability, and the introduction of high-quality talent.

Factors Affecting Employee Engagement at Not-For-Profit Organizations: A Case in Vietnam

  • NGUYEN, Linh Giang Thi;PHAM, Huyen Thi
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.8
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    • pp.495-507
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    • 2020
  • The paper examines the determinants of employee engagement in the not-for-profit organization (NFPO) sector. A structured questionnaire survey of 205 NFPO employees in Vietnam was employed, preceded by in-depth interviews with NFPO associates and managers. After a multiple regression analysis to study the impact of five independent variables on one dependent variable, the study reveals that Work design and Work-life balance are positively and significantly associated with employee engagement. Of which, Work design is measured by the level of job fit, job autonomy, job challenge, and job meaningfulness. On the other hand, Work-life balance involves measurement aspects consisting of how reasonable the workload is and organizational support. Meanwhile, different from the business world, Leadership, Learning and Development, and Recognition do not show statistically positive impacts on employee engagement in NFPOs. Still, they are crucial back-supporting factors to ensure employee experience at work. Further, the study finds that personal growth contributes a great part to keep employees in the sector motivated. This paper brings the area of study to the forefront in an effort to benefit the practice of human resources management in NFPOs as well as support employees in the sector with a higher quality working experience.

Factors Affecting Customer Satisfaction When Buying on Facebook in Vietnam

  • TO, Tha Hien;DO, Du Kim;BUI, Lan Thi Hoang;PHAM, Huong Thi Lan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.267-273
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    • 2020
  • With the strong growth of social networking sites such as Facebook in recent years, the potential of exploiting customers on Facebook is increasing. Presently, trading activities on Facebook is rapidly developing. Therefore, businesses have become increasingly competitive when selling products on Facebook, so as to retain customers as well as to satisfy customer, which is of paramount importance. This study was conducted to assess the factors affecting the satisfaction of individual customers in Vietnam when buying goods on Facebook. This study uses multivariate analysis techniques (Confirmatory Factor Analysis, Structural Equation Modeling) to determine the factors affecting customer satisfaction when buying goods on Facebook. Research results from 268 individual customers in Vietnam indicated trust and convenience are the two important factors related to customer satisfaction when buying goods on Facebook. Customer satisfaction is the result of consumer experience throughout the different stages of purchase. The more the shopping experience, the more the customers are satisfied when buying products. The price and products do not affect customer satisfaction (prices are easy to compare and products are easily understood on the Internet; hence, these two factors are not considered as determinants of customer satisfaction). Furthermore, this study provides recommendations to improve customer satisfaction.

Financial Development, Income Inequality and the Role of Democracy: Evidence from Vietnam

  • NGUYEN, Hung Thanh
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.11
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    • pp.21-29
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    • 2021
  • The objective of this study is to see how a country's level of democracy impacts the relationship between financial development and income disparity. We argue that political regimes, supported by their degree of democracy, are important for various decentralization theories to predict the impact of financial development on income inequality. Our study tests this argument using Vietnam time series data for the period 2000-2020 through the ARDL model. The financial development variable is represented by five proxies, the income inequality variable is represented by the GINI coefficient and the role of democracy is represented by the Freedom House Index. Data serving for the study is taken from data sources with high reliability. The results of the study have strong evidence that (1) financial development has a positive impact on income inequality, (2) democratic government will reduce national income inequality. (3) And a higher degree of democracy tends to mitigate the positive impact of financial development on income inequality. Thus, our study contributes to the literature by providing a new look at the mixed results regarding the relationship between financial development and theoretical income inequality. Finally, the article provides policy implications for the Government of Vietnam.

Financial Distress Prediction Using Adaboost and Bagging in Pakistan Stock Exchange

  • TUNIO, Fayaz Hussain;DING, Yi;AGHA, Amad Nabi;AGHA, Kinza;PANHWAR, Hafeez Ur Rehman Zubair
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.665-673
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    • 2021
  • Default has become an extreme concern in the current world due to the financial crisis. The previous prediction of companies' bankruptcy exhibits evidence of decision assistance for financial and regulatory bodies. Notwithstanding numerous advanced approaches, this area of study is not outmoded and requires additional research. The purpose of this research is to find the best classifier to detect a company's default risk and bankruptcy. This study used secondary data from the Pakistan Stock Exchange (PSX) and it is time-series data to examine the impact on the determinants. This research examined several different classifiers as per their competence to properly categorize default and non-default Pakistani companies listed on the PSX. Additionally, PSX has remained consistent for some years in terms of growth and has provided benefits to its stockholders. This paper utilizes machine learning techniques to predict financial distress in companies listed on the PSX. Our results indicate that most multi-stage mixture of classifiers provided noteworthy developments over the individual classifiers. This means that firms will have to work on the financial variables such as liquidity and profitability to not fall into the category of liquidation. Moreover, Adaptive Boosting (Adaboost) provides a significant boost in the performance of each classifier.

The Effects of Corporate Governance Mechanisms on Firm Performance: Empirical Evidence from Vietnam

  • PHAN, Tu Anh;DUONG, Long Hoang
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.369-379
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    • 2021
  • This paper investigated the relationship between corporate governance mechanisms and firm performance in Vietnam. Based on a dataset of 101 HOSE-listed manufacturing firms, the results showed that CEOs' knowledge capability, gender diversity, and board size are positively associated with firm performance, whereas firm age is negatively associated. These findings suggested that firms should consider enlarging the boardrooms, but to a certain extent to avoid an inverse-U-shaped decline of performance; furthermore, firms should promote women executives' presence in a boardroom for it brings greater cultural-diversity benefits and inhibits information asymmetry. Contrary, the aging process impedes firms' growth. It depreciates their values in terms of total assets, so managers must review their assets' net value after each working year to avoid such a hardship. However, the thesis constrains itself since it did not treat the TMTs' knowledge capability equally as the CEOs' and completely excluded their treatment. Besides, it did not regard the effect of external governance mechanisms such as the supply-demand relationship, customer behavior, market imperfections, and market concentration due to data unavailability. Based on the main findings, several suggestions are set forth for firms and managers to enhance performance and minimize a poor governance mechanism's adverse consequence.

Determinants of energy efficiency in Sub-Saharan Africa

  • Acquah, Patience Mensah;Sun, Huaping;Alemzero, David Ajene;Li, Liang
    • Asia Pacific Journal of Business Review
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    • v.5 no.2
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    • pp.19-44
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    • 2021
  • Sub Saharan Africa (SSA) is receiving increased investments in the energy sector under the belt and road initiative (BRI) project since its inception in 2013. SSA has a worse energy efficiency ratio coupled with deficient electricity access, through analysis showed varied impacts on the SSA countries due to the BRI initiative. This study dilves into the influencing factors for Energy Efficiency (EE) in 38 SSA countries, applying the probit and logit approach for 2000-2018. The Multiple-regression model shows significant results of some variables such as foreign direct investment, gross domestic product, and port infrastructure quality being significant on EE under BRI initiative countries. However, the logit and probit models produce similar results and the marginal effect for the entire variable, except energy imports that do not likely impact EE. Furthermore, the interaction of quality of port infrastructure and foreign direct investment variables produces significant results, highlighting the increased investments SSA receives under the BRI initiative in the energy and transport sectors. The model Percent correctly predicted (PCP) value was about 84%, indicating it correctly classified the variables and about 16% not classified. The study recommends EE performance standards should be incorporated on energy projects in SSA to ensure that these projects are energy efficient and decouple SSA's energy demand from economic growth. The research proffers suggestions for policy regarding the BRI initiative in SSA and the implications on sustainable energy and building a community with a shared future.

Reliable and Advanced Predictors for Corporate Financial Choices in Pakistan

  • SHAHZAD, Umeair;FUKAI, Luo;MAHMOOD, Faisal;JING, Liu;AHMED, Zahoor
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.7
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    • pp.73-84
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    • 2020
  • Existing studies disagree over the core predictors of firm-level financial choices in developing countries. The general practice only validates the traditional capital structure model, which leads to inconsistency and a lack of novelty. This study removed overfitting issues among existing factors and presented the most reliable and advanced capital structure model in Pakistani firms. The panel data include 368 Pakistani companies from 19 non-financial sectors over the period 2004 to 2017. We apply Akaike and Bayesian Information Criteria to remove overfitting issues among inconsistent proxies in the capital structure model. The fixed effects regression is used for basic results and the Generalized Method of Moments is applied to control the endogeneity. Besides the conventional proxies, we report that credit rating, distance from bankruptcy, managerial concentration, and institutional quality are the most advanced capital structure determinants in Pakistan. These predictors remain significant across firm size and growth levels. Also, the findings confirm that new predictors are reliable to define capital structure dynamics and improve the speed of adjustment in overall and sub-sample analysis. The major findings suggest that managers and policymakers should consider these advanced predictors to design their financial settings in firms.