scholarly journals Factors affecting asset investment of public companies in plastic and packaging industry in Vietnam

2022 ◽  
Vol 9 (1) ◽  
pp. 148-153
Author(s):  
Vu et al. ◽  
Keyword(s):  
Regression Model ◽  
Negative Impact ◽  
Positive Impact ◽  
Internal Factors ◽  
Public Companies ◽  
Factors Affecting ◽  
Financial Decisions ◽  
Panel Data Regression ◽  
Packaging Industry ◽  
Relationship Of

The purpose of this research is to identify and analyze the influence of internal factors on asset investment of public companies in the plastic and packaging industry in Vietnam. The research has built a regression model to determine the relationship of internal factors affecting asset investment of public companies in the plastic and packaging industry in Vietnam. The strength of this research is to use the E-view software in quantitative analysis to build a panel data regression model. At the same time, the researchers used the Hausman test to select the appropriate model compared to other research. The data of the research are collected and calculated from the financial statements of 27 companies in the plastic and packaging industry in Vietnam from 2013 to 2020. The research results show that such factors as sale, equity, and debt ratio have a positive impact on asset investment, the return on assets has a negative impact on asset investment, while the average loan interest rate does not affect the asset investment of enterprises. Therefore, the author has made recommendations to help public companies in the plastic and packaging industry in Vietnam to improve the efficiency of asset investment. The results of this research are very useful for corporate financial managers in helping them make appropriate financial decisions for their companies.

scholarly journals Dampak Faktor Eksternal dan Faktor Internal terhadap Perkembangan Bank Umum Syariah di Indonesia

2020 ◽  
Vol 1 (1) ◽  
pp. 97-108
Author(s):  
Luthfiah Nurazlina ◽  
Hasbi Assidiki Mauluddi
Keyword(s):  
Negative Impact ◽  
External Factors ◽  
Islamic Banks ◽  
Internal Factors ◽  
Simultaneous Test ◽  
Panel Data Regression ◽  
Data Regression ◽  
Simultaneous Testing ◽  
Significant Negative Impact ◽  
The Impact

The goal of this study was to determine the impact to which external factors such as GDP growth, inflation and BI interest rate and internal factors such as CAR, FDR and NPF have had an influence on the development of Islamic Banks in Indonesia that represented by the growth of total assets Islamic banks in Indonesia from 2015-2019. This research used a quantitative approach and the data would be analyzed using multiple regression test through panel data regression with partial test and simultaneous test provided by Eviews 10. Considering the results of the simultaneous testing, the study suggests that all variables had an impact on the development of the Islamic Bank. As for the partial test, from the external factors only the BI rate which gives a significant negative impact on the development of Islamic banks and from internal factors there are NPF and FDR which give significant negative impact. It was concluded that GDP, Inflation, and CAR did not affect the development of Islamic Banks in Indonesia.

scholarly journals Factors Affecting Fertility – New Evidence from Malaysia

2017 ◽  
Vol 36 (36) ◽  
pp. 7-20
Author(s):  
Atif Awad ◽  
Ishak Yussof
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Negative Impact ◽  
Positive Impact ◽  
Infant Mortality Rate ◽  
Fertility Rates ◽  
Short Term ◽  
Factors Affecting ◽  
Distributed Lag ◽  
Education And Employment

Abstract This research paper investigates long and short term determinants of fertility rates in Malaysia based on basic macroeconomic variables for the period 1980-2014 using Auto Regressive Distributed Lag (ARDL) method. The study reveals that over a long term period, all the selected variables (GDP, infant mortality rate, females’ education and employment) have had significant and negative impact on total fertility rates. Whilst during the short term period, only the infant mortality rate has had a positive impact. Since population growth is partly determined by fertility rates, efforts to increase population in Malaysia should consider factors that affect those rates.

scholarly journals Competitiveness Analysis and Factors Affecting Trade of Main Commodities between Indonesia and Turkey

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Fauziyah Adzimatinur
Keyword(s):  
Wheat Flour ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Woven Fabrics ◽  
Least Square ◽  
Series Data ◽  
Trade Integration ◽  
Tariff Barrier ◽  
Factors Affecting

This study aims to analyze the competitiveness, trade integration, trade complementarity, and factors affecting the export and import of main commodities between Indonesia and Turkey. Data used in this study is time series data in 1996-2018 and the methods used are Revealed Comparative Advantage (RCA), Intra-Industry Trade (IIT), Trade Complementarity Index (TCI), and Ordinary Least Square (OLS). Results of RCA showed Indonesia's main export commodities to Turkey are woven fabrics, stearic acid, palm oil and natural rubber. While IIT showed that there is only one way trade from Indonesia. Import commodities from Turkey are carpets, borax, wheat flour, and tobacco. TCI showed low complementarity between Indonesia�s export and Turkey�s import. GDP per capita has positive impact on exports and imports. The exchange rate has positive impact on exports and negative on imports. Price and tariff rate have negative impact on both exports and imports. Dummy Non-tariff barrier has negative impact on exports while in import side, it only affects the wheat flour negatively. The Government of Indonesia should pursue a strategy in trade cooperation as efforts to reduce trade barriers such as tariffs and non-tariffs for some commodities that have competitiveness in the Turkish market.

scholarly journals Intention To Buy Air Ticket Online Of Vietnamese Consumers

2021 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Huynh Quoc Tuan
Keyword(s):  
Perceived Risk ◽  
Negative Impact ◽  
Positive Impact ◽  
Linear Regression Analysis ◽  
Ease Of Use ◽  
Impact Factors ◽  
Perceived Ease Of Use ◽  
Buying Behavior ◽  
Factors Affecting ◽  
Perceived Benefit

The study aimed to identify and measure the factors affecting the intention to buy air ticket online in Vietnam by surveying 331 consumers aged 18 and over who bought air ticket online. The SPSS 20 tool was used to analyze the reliability of the scale through the Cronbach's Alpha coefficient, EFA exploratory factor analysis, and linear regression analysis. Research results show that positive impact factors, decreasing by their strength, include: Perceived Benefit, Reliability, Reputation, Subjective Norm, Perceived Ease of Use. Meanwhile, Perceived Risk has a negative impact on the intention to buy air ticket of consumers. The results also help managers recognize the importance of the factors that affect the buying behavior of the consumers, and consequently make appropriate strategic adjustments and actions in the competitive process for air ticket online presently.

scholarly journals Research on the Factors Affecting Customer Engagement in Social Commerce from the Perspective of Two-Factor Theory

2021 ◽  
Vol 1 (3) ◽  
pp. 8-13
Author(s):  
Saisai Qiao ◽  
Jie Wei
Keyword(s):  
Social Support ◽  
Purchase Intention ◽  
Negative Impact ◽  
Positive Impact ◽  
Customer Engagement ◽  
Social Commerce ◽  
Factors Affecting ◽  
Significant Negative Impact ◽  
Social Media Platforms ◽  
New Type

As a new type of business model, social commerce has attracted more attention. we propose a model to explore the factors influencing customer engagement by using the two-factor theory, as well as the effect of customer engagement on subsequent participation behavior. The results show that both social support and self-congruence have a positive impact on customer engagement, while perceived engagement risk and perceived commerce risk have a significant negative impact on customer engagement, moreover, customer engagement is positively related to social sharing and purchase intention. In addition, this paper verifies the comparative effect of social commerce platforms. The results show that there are significant differences in social support and self-congruence between e-commerce and social media platforms.

scholarly journals Research on Innovation Efficiency of Listed Companies in Development Zone Based on the Three-Stage DEA-Tobit Model: A Case Study of Hubei Province

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Peng Xu ◽  
Fan Luo ◽  
Ziyue Zhang ◽  
Hongyi Xu
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
Innovation System ◽  
Listed Companies ◽  
Hubei Province ◽  
Tobit Model ◽  
Government Investment ◽  
Development Zone ◽  
Factors Affecting ◽  
Corporate Innovation

This study applies 3-stage data envelopment (DEA) of 24 listed companies in the development zone of Hubei Province from 2012 to 2017 based on the panel data; we used the DEA-Tobit model and regression analysis method on the sample in order to measure the factors affecting the innovation efficiency of listed companies and the efficiency of corporate innovation. The results demonstrated that the innovation efficiency of listed companies in the development zone of Hubei Province is relatively low. It is necessary to improve the innovation system of the development zone and give the full initiative to the role of corporate innovation as a mainstay. The four environmental variables of the number of enterprises, government subsidies, foreign direct investment in the development zone, and fixed asset investment have a significant impact on innovation efficiency. The enterprise size, operating capacity, and state-owned shares of the company have a significant positive impact on the innovation efficiency. But the number of years of the establishment has a significant negative impact on innovation efficiency. Moreover, the quality of the workers is not significant. Therefore, we must increase government investment in innovation to expand the scale of listed companies in the development zone, improve the environment for foreign investment, further strengthen the construction of talented people of companies, and enhance the original ability of innovation.

The State-Based Factors Affecting Inward FDI Employment in the U.S.

2014 ◽  
pp. 85-103
Author(s):  
Lucyna Kornecki ◽  
E. M. Ekanayake
Keyword(s):  
Direct Investment ◽  
Negative Impact ◽  
Positive Impact ◽  
The United States ◽  
Real Wages ◽  
Financial Flows ◽  
Factors Affecting ◽  
Per Capita ◽  
Major Factors ◽  
The U.S

The descriptive part of this research focuses on the latest trends in U.S. inward Foreign Direct Investment (FDI) and describes the U.S. inward FDI flows and stock as a percentage of Gross Domestic Product (GDP) and includes geographic and sectoral distribution of inward U.S. FDI. The important part of U.S. inward FDI profile relates to inward U.S. FDI employment and inward U.S. FDI financial flows, which include equity, reinvested earnings, and intercompany debt. The corporate players, Mergers and Acquisitions(M&A’s) and green field investment are discussed briefly. The empirical part of this research investigates state-based factors affecting the inward FDI employment among 50 states of the United States and is based on data collected by the Commerce Department’s Bureau of Economic Analysis (BEA). This study identifies several state-specific determinants of FDI employment. The results indicate that the major factors exerting positive impact on inward U.S. FDI employment are: real wages, infrastructure, unionization level, educational attainment, FDI stock, and manufacturing density. In addition, the results show that gross state product growth rate, real per capita taxes has negative impact on FDI employment.

scholarly journals Identifying the determinants of South Africa’s extensive and intensive trade margins: A gravity model approach

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Marianne Matthee ◽  
Maria Santana-Gallego
Keyword(s):  
Gravity Model ◽  
Negative Impact ◽  
Positive Impact ◽  
Export Growth ◽  
Extensive Margin ◽  
Intensive Margin ◽  
Product Mix ◽  
Factors Affecting ◽  
Wide Range ◽  
Export Product

Background: The significance of the paper is twofold. Firstly, it adds to the small but growing body of literature focusing on the decomposition of South Africa’s export growth. Secondly, it identifies the determinants of the intensive and extensive margins of South Africa’s exports – a topic that (as far as the authors are concerned) has not been explored before.Aim: This paper aims to investigate a wide range of market access determinants that affect South Africa’s export growth along the intensive and extensive margins.Setting: Export diversification has been identified as one of the critical pillars of South Africa’s much-hoped-for economic revival. Although recent years have seen the country’s export product mix evolving, there is still insufficient diversification into new markets with high value-added products. This is putting a damper on export performance as a whole and, in turn, hindering South Africa’s economic growth.Methods: A Heckman selection gravity model is applied using highly disaggregated data. The first stage of the process revealed the factors affecting the probability of South Africa exporting to a particular destination (extensive margin). The second stage, which modelled trade flows, revealed the variables that affect export volumes (intensive margin).Results: The results showed that South Africa’s export product mix is relatively varied, but the number of export markets is limited. In terms of the extensive margin (or the probability of exporting), economic variables such as the importing country’s GDP and population have a positive impact on firms’ decision to export. Other factors affecting the extensive margin are distance to the market (negative impact), cultural or language fit (positive impact), presence of a South African embassy abroad (positive impact), existing free trade agreement with Southern African Development Community (positive impact) and trade regulations and costs (negative impact). In terms of the intensive margin (or the factors influencing the volume of exports), there are strong parallels with the extensive margin, with the exception being that the time involved in exporting has more of an impact than documentary requirements.Conclusion: Among the factors contributing to South Africa’s exports having largely developed in the intensive margin are a general lack of market-related information, infrastructural weaknesses (both of a physical and technological nature) and a difficult regulatory environment – all of which add to the cost and time involved in exporting. Policymakers have long spoken about the need for the country to diversify its export basket, but now talk about needs to give way to action. The government and its economic partners need to arrive at a common vision of an export sector that will be able to expand into new products and markets, be an active participant in global value chains and deliver sustainable jobs.

The Impact of Financial Inclusion on Poverty Reduction

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Huong Thi Thanh Tran ◽  
Ha Thi Thu Le
Keyword(s):  
Poverty Reduction ◽  
Negative Impact ◽  
Positive Impact ◽  
Trade Openness ◽  
Principal Component ◽  
Financial Inclusion ◽  
Factors Affecting ◽  
Global Issue ◽  
Negative Effect ◽  
The Impact

Abstract Poverty is a global issue and a lot of attention and efforts of the international community have been made to deal with this problem. Especially in the context of the COVID-19 pandemic, when a part of the population could fall into poverty due to rising unemployment and income deduction, identifying the factors affecting poverty becomes particularly important. Financial inclusion has been recognized as one important factor affecting poverty reduction. This research is conducted to investigate the impact of financial inclusion and other control variables on poverty reduction. The study employs Principal Component Analysis (PCA) to build a financial inclusion index. Using 2SLS and the GMM regressions for a panel data of 29 European countries during the period from 2011 to 2017, the results show that financial inclusion has a negative impact on poverty at all three poverty lines of USD1.9, 3.2, and 5.5 per day. The proportion of the population aged 15–64 and the ratio of service employment to the total number of employment also have a negative effect on all three levels of POV1.9, POV3.2, and POV5.5. In contrast, GDP per capita, trade openness and the proportion of the population aged from 25 with at least secondary school education have a positive impact on poverty at three levels of poverty. The results confirm that financial inclusion plays an important role in reducing poverty. The study provides a number of recommendations to governments to promote financial inclusion and reduce poverty in the countries.

Analysis of Factors Affecting China's Cargo Insurance Demand Based on E-commerce Background

2019 ◽  
Vol 17 (1) ◽  
pp. 16-29
Author(s):  
Xiaoping Liu ◽  
Hui Zheng ◽  
Yi Yang ◽  
Qing Wang
Keyword(s):  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Series Data ◽  
Linear Regression Models ◽  
Insurance Demand ◽  
Logistics Industry ◽  
Factors Affecting ◽  
Insurance Density ◽  
Insurance Supply

This article uses the time-series data of China from 2000 to 2014 to analyze the influencing factors of cargo insurance demand in the context of e-commerce by using multiple linear regression models. The authors discuss the influence of economic development, cargo insurance supply and environmental factors on cargo insurance income, insurance depth, and insurance density. The results show that the risk situation, e-commerce development and the development of the logistics industry have a significant positive impact on the demand for cargo insurance; price is proportional to cargo insurance demand; and GDP has negative impact on the depth of cargo insurance.

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