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    264 research outputs found

    Economic Growth, CO2 Emissions, Electricity Production, and Consumption Nexus in Bangladesh

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    This paper seeks to find the causal relationship between economic growth, electricity consumption, carbon emissions, electricity production from oil, and electricity production from gas. The data were taken from World Development Index (WDI) for the period of 1972-2014. For stationarity checking, visualization and some econometrics techniques like ADF and Phillips-Perron test have been adopted. For testing the long-run relationships among the variables, the Johansen cointegration testing procedure has been considered. This test ensured that there are long-run relationships among the variables. To capture the short-run dynamics, a VECM test has been done, and to find the direction of causation, the Granger causality approach has been tested. The results find that there was a bidirectional causality from CO2 emissions to gross domestic product (GDP) and from electricity production from gas to GDP where unidirectional causality was found from GDP to electricity consumption and electricity production from oil to GDP. CUMSUM and CUSUM approaches have also been considered to test the stability of the parameters. Policy implications of the research indicate that Bangladesh should give importance to low carbon emission technologies to reduce the CO2 emissions level with a view to keeping Bangladesh safe from natural calamities along with economic growth. JEL Classifications: C32, O13, Q4

    Conceptualization of Machine Learning in Economic Forecasting

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    Economic forecasting is a very important aspect that policymakers in the financial and corporate organization rely on because helps them to determine future events that might infringe some hardship on the economy and the citizens at large. However, the principal statistical pointers that are available to the public domain provide numerous reservations and doubts for their economics estimates as it is later released with frequent issues to major revisions and also it shows a great lag in decision making for an incoming event. To this effect, the expansion of the latest forecasting patterns was important to address the gaps. Hence, this paper examines the conceptualization of Machine learning in economic forecasting. To achieve this, the Italian economy was used as the dataset, and machine learning controlled tools were used as the method of analysis. The result obtained from this study shows that machine learning is a better model to use in economic forecasting for quick and reliable data to avert future events

    The Role of Blockchain Technology in Enhancing Financial Security amidst Digital Transformation

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    Amid the digital revolution, this study explores how blockchain technology can improve financial security. The primary goals are to examine how blockchain technology reduces cyber threats in the financial industry, evaluate regulatory factors that should be considered before adopting blockchain, and investigate the prospects for blockchain going forward. A review process based on secondary data is utilized, referencing academic articles, reports, and regulatory documents. Significant discoveries show that blockchain provides creative ways to reduce cyber threats, improve transparency, and foster financial transaction confidence. Nevertheless, issues, including adoption obstacles, regulatory uncertainties, and technological restrictions, must be resolved to reach their full potential. The policy implications indicate that stakeholders must collaborate, do continuous research, and establish clear regulatory frameworks to promote responsible blockchain adoption in the finance industry. Blockchain technology can transform financial security and encourage creativity in the digital world

    Remittance and Dutch Disease Phenomenon: Case of Bangladesh and Pakistan

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    The paper has been designed to explore whether the impact of remittance on the real exchange rate causes any Dutch disease problem for Bangladesh and Pakistan. These two South Asian countries have been targeted to figure out if the outcomes are similar for the countries with almost the same economic structure. Johansen co-integration approach, Vector Error Correction Method (VECM), and Granger Causality test have been employed taking real exchange rate as regressand and remittance and other attributing variables as explanatory variables with an aim to address the study objective. The study has used data from the World Development Indicators database ranging from 1986 to 2019. The results for both countries reveal that remittance is significantly negatively related to the real exchange rate which implying the appreciation of the domestic currency. However, this appreciation causes the Dutch disease phenomenon for neither Bangladesh nor Pakistan

    Investigating Structural Relationship among Service Quality Dimensions, Customer Satisfaction, and Customer Loyalty for Conventional Bank Customers: Evidence from Bangladesh

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    Customers of the banks are highly servicing sensitive in Bangladesh. The quality of service has become an integral part of customer satisfaction. Day by day, It has been demonstrated that customer satisfaction and loyalty are linked to service quality. There is also a link between service quality and customer satisfaction, and customer loyalty in banks. Therefore, this paper investigated the effect of service quality factors on customer satisfaction and the relationship between customer satisfaction and customer loyalty in conventional banks in Bangladesh. A survey was conducted on 13 different conventional banks in Bangladesh. Using simple random sampling, 220 customers were selected as a sample from selected conventional banks for this study. The research was carried out using a structured questionnaire. The SPSS software was used to analyze the demographic data. Multivariate analysis technique like Factor Analysis and Structural Equation Modeling (SEM) was used to identify the influential factors for the bank\u27s customer loyalty by using SmartPLS3 software. The study found that all service quality factors such as assurance, reliability, responsiveness, and tangibility are the influential factors except empathy

    Modes of Value Transfer in Chinese Family Business in Malaysia

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    The study examined the modes of value transfer from the founder to successors in Chinese family businesses. A case study was conducted involving interview with 19 members of 12 family businesses in business sectors including trading, shipping, timber, newspaper printing, entertainment, and construction. The results showed that value transfer begins even before the founder’s descendants start full-time work in the family business, leading to internalization of values. When the founder’s descendants begin working in the family business, explicit teaching and modeling of values occur, which reinforces values observed earlier. In some cases, values are reinforced through management policies that document the founder’s values and best practices in conducting business. In most cases, the successors are scaffolded into how values guide business decisions when they work full-time in the family business. The findings offer novel information on the modes of value transfer in the Chinese family business.   Funding This work was funded by the Ministry of Education, Malaysia via the Fundamental Research Grant Scheme, Grant No. FRGS/05(37)/845/2012(85

    Consumer Perception of Online Marketplace in Bangladesh: An Empirical Study on Dhaka City

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    Bangladesh is one of the growing economically developing countries, where the online marketplace is becoming popular in recent days. Besides the traditional market or super shops, online marketplaces grab the eyeballs of the consumers, because of avoiding a heavy traffic jam, huge time consuming, public gathering, and recent Covid-19 lockdown. This paper conducted an empirical study to measure the consumer perception of the online marketplace. The relationship between consumer preference and demographic data is also analyzed. It has been found that major responders are young in age, male in gender, and student and jobholders in occupation. Whereas, books and foods are the main preferred product to purchase online because those twos are reliable and easy to ensure quality rather than clothing, cosmetics, and other products. A suggestion would be concluded by this paper is that products in the online marketplace must increase the quality and reliability to ensure the purchasing preference by the consumers. &nbsp

    Jute and Jute Products of Bangladesh: Contributions and Challenges

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    Jute is one of Bangladesh’s main cash crops. The contribution of the jute sector to the economy of Bangladesh is enormous. In Bangladesh, Jute is a vital sector from economical, agricultural, industrial, and commercial perspectives. Different kinds of jute products are made in Bangladesh and the products are environmentally friendly as well. Every year Bangladesh earns an amount of foreign currency by exporting jute and jute products in different countries all over the world. That contributes to the national income of Bangladesh. Jute was once called Bangladesh\u27s \u27Golden Fibre. But this industry\u27s present and future prosperity and growth are vulnerable. There exist many problems in the jute industry of Bangladesh, such as; lack of scientific knowledge and modern tools, market tools, unavailability of quality seeds, low productivity, inappropriate market forecasting, land fragmentation, natural calamities, conflicts and economic crisis in the world market, etc. Based on the existing problems, we will try to give some policies that may help to eradicate the problems and improve the present conditions of the jute industry in Bangladesh

    Factors Affecting Transfer of On-The-Job Training at Workplaces in Pakistan

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    Purpose: This research is focused on examining the factors that influence transfer (effectiveness) of On-The-Job training at workplaces in Pakistan. The study identifies the factors that affect transfer of OJT training included independent variables such as motivation to learn, Perceived Organizational Support and Training Design and their impact on employees’ performance i.e. Transfer of Training. Methodology: The study adopted quantitative research and data was collected through well-structured questionnaire. The sample of 200 participants were selected throughout Pakistan using convenience sampling technique. Smart PLS software was used to analyse the data through descriptive statistics, structural equation modelling and Confirmatory factor analysis. Findings: The result revealed that there is a strong and significant impact of motivation to learn and training design on transfer of OJT training at workplaces in Pakistan. However, the results do not show any significant impact of Perceived Organizational Support in organizations on transfer of OJT training. Conclusions: This shows that even though, if the organization support is not present, the motivation to learn new things and to implement it to the workplace and effectively designed training programs can overcome the issues. Practical Implications: Organizations can use the result in favour of their organizational effectiveness, to consistently design effective training programs, and to consistently motivate their employees and to improve support and guidance by top management in the organizations. &nbsp

    Determination of the Upper Limit Age of Jatropha Curcas Plantation for Optimum Yield Production

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    Jatropha curcas (L.) provenances were grown to determine the upper limit age for maximum seed yield production.  The study had been conducted at Shewa robit district in the lowland areas of the North Shewa zone.  In this study, fourteen Jatropha curcas provenances had been collected from different parts of Ethiopia. Sixteen plants per plot had been planted in a randomized complete block design with three replications. The survival rate, number of branches, seed yields and growth parameter data had been collected from those plants. Survival rate ranged from 85-100%; root collar diameter was ranged between11.80 cm and 13.51 cm at the age of six years.  The maximum and minimum plant heights were 281.96 cm and 233.88 cm, respectively, at the age of five years after planting. Those different traits of Jatropha curcas indicated that statistically insignificant difference (p>0.05) except the seed yield of Cheffa provenance was significantly highest at the age of four years. The maximum seed yield (cheffa) was 38.837 ton/ha/year, and the minimum was 9.016 ton/ha/year (Jewuha) within the same year. All Jatropha curcas provenances seed yield was maximum at the age of four years and declined after six years of age

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