Pub Date : 2023-06-18DOI: 10.31920/1750-4562/2023/v18n2a7
Olalekan Seyi Olawuyi, A. Mushunje
{"title":"Welfare Distributional Impact of Special Distress Relief Grant in Eastern Cape Province of South Africa: Evidence from 2021 General Household Survey","authors":"Olalekan Seyi Olawuyi, A. Mushunje","doi":"10.31920/1750-4562/2023/v18n2a7","DOIUrl":"https://doi.org/10.31920/1750-4562/2023/v18n2a7","url":null,"abstract":"","PeriodicalId":37165,"journal":{"name":"African Journal of Business and Economic Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45360407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An inclusive and stable financial system promotes investments and a market driven economy which is productive and competitive. Appropriate financial access at an affordable cost is indispensable for the growth of MSEs as well as the financial wellbeing of the MSE operators. About 80% of the population in Cameroon operates in the informal sector, while about 98.5% of MSEs hardly have access to regulated finances, hence suffer from financial exclusion and poverty. This study seeks to analyze the extent to which financial inclusion can impact poverty alleviation among MSE operators in Cameroon. The relevant data for this study were sourced with the use of a closed ended structured questionnaire. Data analysis was by statistical inferences and modelling involving multiple regressions by the use of AMOS 24. The findings from the analysis reveals that financial knowledge and financial wellbeing have a significant positive influence on poverty alleviation amongst MSE operators in Cameroon. This study highlights that policy makers should promote the putting in place of financial literacy mechanisms and structures to facilitate the users of financial instruments better acquaint themselves with knowledge on the existent financial instruments as well as their proper usage.
{"title":"Financial Inclusion and its Impact on Poverty Alleviation amongst Micro and Small Enterprises in Cameroon","authors":"Susannash Limunga Esowe","doi":"10.5296/ber.v13i2.20927","DOIUrl":"https://doi.org/10.5296/ber.v13i2.20927","url":null,"abstract":"An inclusive and stable financial system promotes investments and a market driven economy which is productive and competitive. Appropriate financial access at an affordable cost is indispensable for the growth of MSEs as well as the financial wellbeing of the MSE operators. About 80% of the population in Cameroon operates in the informal sector, while about 98.5% of MSEs hardly have access to regulated finances, hence suffer from financial exclusion and poverty. This study seeks to analyze the extent to which financial inclusion can impact poverty alleviation among MSE operators in Cameroon. The relevant data for this study were sourced with the use of a closed ended structured questionnaire. Data analysis was by statistical inferences and modelling involving multiple regressions by the use of AMOS 24. The findings from the analysis reveals that financial knowledge and financial wellbeing have a significant positive influence on poverty alleviation amongst MSE operators in Cameroon. This study highlights that policy makers should promote the putting in place of financial literacy mechanisms and structures to facilitate the users of financial instruments better acquaint themselves with knowledge on the existent financial instruments as well as their proper usage.","PeriodicalId":37165,"journal":{"name":"African Journal of Business and Economic Research","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85061358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Statista market forecast has shown that revenue in the Electric Vehicles market is projected to reach US$457.60bn in 2023. Revenue is expected to show an annual growth rate (CAGR 2023-2027) of 17.02%, resulting in a projected market volume of US$858.00bn by 2027. Electric vehicles are gaining popularity and market share. In Q2 2022, EV sales accounted for 5.6% of the total auto market (up from 2.7% in Q2 of 2021). Clean energy and improved performance are driving people to make the switch to electric. Government incentives continue to buttress the future of all things electric. Between today and 2050, the electric vehicle market opportunity is slated to rise to $53 trillion. Additionally, global electricity demand in that same year is projected to increase by 27% even though KPMG reports in December 2022 that automotive executives are less bullish than they were last year about the adoption of electric vehicles. The survey found 76% are concerned that inflation and high interest rates will adversely affect their business in 2023. For the U.S., the median expectation for EV sales was 35% of the new vehicle market by 2030 — down from 65% a year earlier.The purpose of this research is to study factors influencing consumer to adopt Electric Vehicles. These factors include seven independent variables: Mileage (ML), Battery (BA), Charge station (CS), Price (PR), Maintenance (MT), At-home charger (HC), Government policy (GP), Promotion (PM), Brand (BR) and one dependent variable: Consumer Factor (CF). 387 sample were collected using electronic questionnaire through social media. We used Structural Equation Models (SEM) for data analysis. The result shows that since the RMSEA, which is an absolute fit index that assesses how far our hypothesized model is from a perfect model, for this model is .04 (<.05) which strongly indicates a “close fit” and the Goodness of Fit Index (GFI) value is .913 (>.90), the model seems to fit well according to the descriptive measures of fit. More importantly, Battery (BA), Charge station (CS), Price (PR), At-home charger (HC), Government policy (GP), and Brand (BR) are significantly defined as key success factors of electric vehicles (EV) from the consumer’s perspective due to their p-values are all less than .05. That means if these significant factors are taken good care of from having branded EV with quality battery at a competitive price offering with more charge stations available both in public and at home, all of which are deeply supported by government policy to encourage people to switch over to EV ASAP, EV will become much more successful and widely adopted from consumer standpoint much faster than what has been happening so far.
{"title":"Study of Factors Influencing Consumers to adopt EVs (Electric Vehicles)","authors":"Sumas Wongsunopparat, Peter Cherian","doi":"10.5296/ber.v13i2.21054","DOIUrl":"https://doi.org/10.5296/ber.v13i2.21054","url":null,"abstract":"Statista market forecast has shown that revenue in the Electric Vehicles market is projected to reach US$457.60bn in 2023. Revenue is expected to show an annual growth rate (CAGR 2023-2027) of 17.02%, resulting in a projected market volume of US$858.00bn by 2027. Electric vehicles are gaining popularity and market share. In Q2 2022, EV sales accounted for 5.6% of the total auto market (up from 2.7% in Q2 of 2021). Clean energy and improved performance are driving people to make the switch to electric. Government incentives continue to buttress the future of all things electric. Between today and 2050, the electric vehicle market opportunity is slated to rise to $53 trillion. Additionally, global electricity demand in that same year is projected to increase by 27% even though KPMG reports in December 2022 that automotive executives are less bullish than they were last year about the adoption of electric vehicles. The survey found 76% are concerned that inflation and high interest rates will adversely affect their business in 2023. For the U.S., the median expectation for EV sales was 35% of the new vehicle market by 2030 — down from 65% a year earlier.The purpose of this research is to study factors influencing consumer to adopt Electric Vehicles. These factors include seven independent variables: Mileage (ML), Battery (BA), Charge station (CS), Price (PR), Maintenance (MT), At-home charger (HC), Government policy (GP), Promotion (PM), Brand (BR) and one dependent variable: Consumer Factor (CF). 387 sample were collected using electronic questionnaire through social media. We used Structural Equation Models (SEM) for data analysis. The result shows that since the RMSEA, which is an absolute fit index that assesses how far our hypothesized model is from a perfect model, for this model is .04 (<.05) which strongly indicates a “close fit” and the Goodness of Fit Index (GFI) value is .913 (>.90), the model seems to fit well according to the descriptive measures of fit. More importantly, Battery (BA), Charge station (CS), Price (PR), At-home charger (HC), Government policy (GP), and Brand (BR) are significantly defined as key success factors of electric vehicles (EV) from the consumer’s perspective due to their p-values are all less than .05. That means if these significant factors are taken good care of from having branded EV with quality battery at a competitive price offering with more charge stations available both in public and at home, all of which are deeply supported by government policy to encourage people to switch over to EV ASAP, EV will become much more successful and widely adopted from consumer standpoint much faster than what has been happening so far.","PeriodicalId":37165,"journal":{"name":"African Journal of Business and Economic Research","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73697666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sustainability in the transportation and supply chain industry has been a concern for decades. Conversations have been ongoing about how to reduce the carbon footprint, incorporate electric vehicles into fleets, and adopt alternative fuels. Now, however, we’re at a crossroad. The global climate crisis has reached a tipping point, highlighting transportation’s contribution to the problem in the boardrooms of most corporations. And for good reason. According to the U.S. Environmental Protection Agency, transportation is responsible for nearly a third (29%) of all greenhouse gas emissions. While passenger vehicles make up a significant portion of that number, ships, trains, planes and freight trucks are also in the mix.The purpose of this research is to study factors influencing Sustainable Supply Chain Management (SSCM) in China. These factors include seven first-order variables: independent variables: Carbon Footprint (CF), Organizational Practices (OP), Transportation Model (TM), Environmentally Responsible Packages (EP), Alternative Energy (AE), Partnership Initiative (PI), and Technology Development (TD); two second-order variables: Environmental, Social, and Governance (ESG) and Operating Model (OPER) and one dependent variable: Sustainable Supply Chain Management (SSCM). 400 sample were collected using electronic questionnaire through social media. We used Structural Equation Models (SEM) for data analysis. The result shows that since the RMSEA, which is an absolute fit index that assesses how far our hypothesized model is from a perfect model, for this model is .039 (<.05) which strongly indicates a “close fit” and the Goodness of Fit Index (GFI) value is .903 (>.90), the model seems to fit well according to the descriptive measures of fit. Moreover, CFI, which is incremental fit indices that compare the fit of our hypothesized model with that of a baseline model (i.e., a model with the worst fit), its value equals .956 indicating an acceptable fit.
{"title":"Study of Factors Influencing Sustainable Supply Chain Management (SSCM) in China","authors":"Sumas Wongsunopparat, Sifan Yan","doi":"10.5296/ber.v13i2.21043","DOIUrl":"https://doi.org/10.5296/ber.v13i2.21043","url":null,"abstract":"Sustainability in the transportation and supply chain industry has been a concern for decades. Conversations have been ongoing about how to reduce the carbon footprint, incorporate electric vehicles into fleets, and adopt alternative fuels. Now, however, we’re at a crossroad. The global climate crisis has reached a tipping point, highlighting transportation’s contribution to the problem in the boardrooms of most corporations. And for good reason. According to the U.S. Environmental Protection Agency, transportation is responsible for nearly a third (29%) of all greenhouse gas emissions. While passenger vehicles make up a significant portion of that number, ships, trains, planes and freight trucks are also in the mix.The purpose of this research is to study factors influencing Sustainable Supply Chain Management (SSCM) in China. These factors include seven first-order variables: independent variables: Carbon Footprint (CF), Organizational Practices (OP), Transportation Model (TM), Environmentally Responsible Packages (EP), Alternative Energy (AE), Partnership Initiative (PI), and Technology Development (TD); two second-order variables: Environmental, Social, and Governance (ESG) and Operating Model (OPER) and one dependent variable: Sustainable Supply Chain Management (SSCM). 400 sample were collected using electronic questionnaire through social media. We used Structural Equation Models (SEM) for data analysis. The result shows that since the RMSEA, which is an absolute fit index that assesses how far our hypothesized model is from a perfect model, for this model is .039 (<.05) which strongly indicates a “close fit” and the Goodness of Fit Index (GFI) value is .903 (>.90), the model seems to fit well according to the descriptive measures of fit. Moreover, CFI, which is incremental fit indices that compare the fit of our hypothesized model with that of a baseline model (i.e., a model with the worst fit), its value equals .956 indicating an acceptable fit.","PeriodicalId":37165,"journal":{"name":"African Journal of Business and Economic Research","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83235640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Though, the issue of climate change is a global challenge that has attracted the attention of various stakeholders, but the understanding of various contributing factors to address the challenge still remains a moot topic. Thus, this study investigates the sensitivity of climate change in Sub-Saharan Africa (SSA) countries to overall globalization, dejure and defacto globalization, population, urbanization and economic growth using a panel data covering the period from 1990-2018. The estimations were performed using the novel Westerlund and Erdgerton panel cointegration approach to estimate the co-movement of the variables in the long run, while the long-run relationship was estimated using the “Dynamic Common Correlated Effect-Mean Group” (DCCE-MG) techniques and used the “Dynamic OLS” and “Fully Modified OLS” for robustness check. Empirical findings reveal the long-run relationship between the variables of interest. In addition, our study shows a significant and positive influence of overall globalization, dejure and defacto globalization, economic growth and urbanization on climate change in SSA countries in the long-run, while population was found to have a negative and significant long-run relationship with climate change. Finally, the findings implications and suggestions for policy makers in SSA countries were presented.
{"title":"To what Extent Does Globalization Influence Climate Change Sensitivity in Sub-Saharan Africa Countries: Evidence from DCCE-MG Approach","authors":"S. Aghazadeh, J. A. Odugbesan, A. Saei","doi":"10.5296/ber.v13i2.21017","DOIUrl":"https://doi.org/10.5296/ber.v13i2.21017","url":null,"abstract":"Though, the issue of climate change is a global challenge that has attracted the attention of various stakeholders, but the understanding of various contributing factors to address the challenge still remains a moot topic. Thus, this study investigates the sensitivity of climate change in Sub-Saharan Africa (SSA) countries to overall globalization, dejure and defacto globalization, population, urbanization and economic growth using a panel data covering the period from 1990-2018. The estimations were performed using the novel Westerlund and Erdgerton panel cointegration approach to estimate the co-movement of the variables in the long run, while the long-run relationship was estimated using the “Dynamic Common Correlated Effect-Mean Group” (DCCE-MG) techniques and used the “Dynamic OLS” and “Fully Modified OLS” for robustness check. Empirical findings reveal the long-run relationship between the variables of interest. In addition, our study shows a significant and positive influence of overall globalization, dejure and defacto globalization, economic growth and urbanization on climate change in SSA countries in the long-run, while population was found to have a negative and significant long-run relationship with climate change. Finally, the findings implications and suggestions for policy makers in SSA countries were presented.","PeriodicalId":37165,"journal":{"name":"African Journal of Business and Economic Research","volume":"194 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74200283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Urus, I. W. Othman, Z. Rasit, N. A. Bakar, Sharifah Nazatul Faiza Syed Mustapha Nazri
Businesses, government sectors, academia and society have been flooded with data which nowadays have become valuable economic assets. Data and Big Data Analytics (BDA) are vital for the succession of any organization. Big Data Analytics (BDA) delineates the approaches utilized to examine, process, analyze and expose hidden underlying patterns, interesting relations, and intelligence from huge datasets for different purposes. Despite the growth and widespread use of data analytics, the study on this research area is still at the nascent stage. The scenario is seen particularly for the developing countries like Malaysia. Previous literature has recognized data analytic development and its effect but has not yet provided a comprehensive review. This paper intends to conceptualize BDA manifestation, its application, and its challenges epistemology. This study employs a comprehensive review of past literature to serve the purpose. The findings of this paper will enhance the understanding of BDA conception epistemology (definition and application). This concept paper also intends to shed some light on BDA research areas by identifying the challenges surrounding BDA deployment. From the theoretical point of view, this paper contributes to providing BDA taxonomy based on the application in various industries. From the practical perspective, this paper contributes to BDA research field by identifying the obstacles that need to be managed by the BDA adopter for optimum utilization and decision making. From the government perspective, it contributes to Malaysian national agenda to becoming a leading regional BDA solution hub for all sectors and developed nation by the year 2025.
{"title":"Beyond the Hype of Big Data Analytics Deployment: Conceptualization and Challenges Epistemology","authors":"S. Urus, I. W. Othman, Z. Rasit, N. A. Bakar, Sharifah Nazatul Faiza Syed Mustapha Nazri","doi":"10.5296/ber.v13i2.20807","DOIUrl":"https://doi.org/10.5296/ber.v13i2.20807","url":null,"abstract":"Businesses, government sectors, academia and society have been flooded with data which nowadays have become valuable economic assets. Data and Big Data Analytics (BDA) are vital for the succession of any organization. Big Data Analytics (BDA) delineates the approaches utilized to examine, process, analyze and expose hidden underlying patterns, interesting relations, and intelligence from huge datasets for different purposes. Despite the growth and widespread use of data analytics, the study on this research area is still at the nascent stage. The scenario is seen particularly for the developing countries like Malaysia. Previous literature has recognized data analytic development and its effect but has not yet provided a comprehensive review. This paper intends to conceptualize BDA manifestation, its application, and its challenges epistemology. This study employs a comprehensive review of past literature to serve the purpose. The findings of this paper will enhance the understanding of BDA conception epistemology (definition and application). This concept paper also intends to shed some light on BDA research areas by identifying the challenges surrounding BDA deployment. From the theoretical point of view, this paper contributes to providing BDA taxonomy based on the application in various industries. From the practical perspective, this paper contributes to BDA research field by identifying the obstacles that need to be managed by the BDA adopter for optimum utilization and decision making. From the government perspective, it contributes to Malaysian national agenda to becoming a leading regional BDA solution hub for all sectors and developed nation by the year 2025.","PeriodicalId":37165,"journal":{"name":"African Journal of Business and Economic Research","volume":"Volume 14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78895559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. H. M. Babiker, Elfadil Timan, Malik Elnaeem Mohammed Ali
Understanding the influence of government policies and economic factors on the growth of entrepreneurial activities is considered a step towards successful entrepreneurship in Sudan. The goal of this article is to explore the government policies and economic factors which influence the growth of entrepreneurial activities in Khartoum Locality, Khartoum State, Sudan. The research was conducted on a sample of 400 national potential entrepreneurs, and data were collected using a structured questionnaire and personal interviews. Respondents are asked 43 questions to assess their perception of the main factors influencing the growth of entrepreneurial activities. The study adopted an analytical descriptive methodology whereby the data were processed by the statistical package for social sciences (SPSS). Percentages, frequencies, and hypothesis tests were used to analyze data. The study revealed that one major problem for entrepreneurs is the high tax fees which hinder the progress of entrepreneurship. Also, not everyone could get a business license. Furthermore, they tend to enter the field of entrepreneurship due to limited government employment opportunities. Entrepreneurs considered entrepreneurship as one of the best solutions for their unemployment problems. Through business incubators, entrepreneurship may expand and flourish in Sudan. Microfinance programs may contribute to the development of entrepreneurial activities, although entrepreneurs face obstacles in such programs, for example, the inability to pay back and the failure of their projects. Credit and loan policies towards entrepreneurs in commercial banks in Sudan need to encourage new ideas and innovations. Self-finance and family finance are important sources for getting money to execute entrepreneurial activities. The study recommends that government agencies should provide financing facilities for entrepreneurs in a way that may contribute to the development of entrepreneurial activities. The government of Khartoum State needs to concentrate more on entrepreneurial training as it is necessary to improve entrepreneurship. It is very important to decrease tax fees because it is a large obstacle facing entrepreneurs. The authorities must facilitate the provision of business licenses to those who have the ability and desire to establish a business. Commercial banks need to strengthen microfinance programs to help entrepreneurs to enter the entrepreneurship field.
{"title":"The Influence of Government Policies and Economic Factors on the Growth of Entrepreneurial Activities in Khartoum, Sudan","authors":"Y. H. M. Babiker, Elfadil Timan, Malik Elnaeem Mohammed Ali","doi":"10.5296/ber.v13i2.20833","DOIUrl":"https://doi.org/10.5296/ber.v13i2.20833","url":null,"abstract":"Understanding the influence of government policies and economic factors on the growth of entrepreneurial activities is considered a step towards successful entrepreneurship in Sudan. The goal of this article is to explore the government policies and economic factors which influence the growth of entrepreneurial activities in Khartoum Locality, Khartoum State, Sudan. The research was conducted on a sample of 400 national potential entrepreneurs, and data were collected using a structured questionnaire and personal interviews. Respondents are asked 43 questions to assess their perception of the main factors influencing the growth of entrepreneurial activities. The study adopted an analytical descriptive methodology whereby the data were processed by the statistical package for social sciences (SPSS). Percentages, frequencies, and hypothesis tests were used to analyze data. The study revealed that one major problem for entrepreneurs is the high tax fees which hinder the progress of entrepreneurship. Also, not everyone could get a business license. Furthermore, they tend to enter the field of entrepreneurship due to limited government employment opportunities. Entrepreneurs considered entrepreneurship as one of the best solutions for their unemployment problems. Through business incubators, entrepreneurship may expand and flourish in Sudan. Microfinance programs may contribute to the development of entrepreneurial activities, although entrepreneurs face obstacles in such programs, for example, the inability to pay back and the failure of their projects. Credit and loan policies towards entrepreneurs in commercial banks in Sudan need to encourage new ideas and innovations. Self-finance and family finance are important sources for getting money to execute entrepreneurial activities. The study recommends that government agencies should provide financing facilities for entrepreneurs in a way that may contribute to the development of entrepreneurial activities. The government of Khartoum State needs to concentrate more on entrepreneurial training as it is necessary to improve entrepreneurship. It is very important to decrease tax fees because it is a large obstacle facing entrepreneurs. The authorities must facilitate the provision of business licenses to those who have the ability and desire to establish a business. Commercial banks need to strengthen microfinance programs to help entrepreneurs to enter the entrepreneurship field.","PeriodicalId":37165,"journal":{"name":"African Journal of Business and Economic Research","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78955300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The establishment of Digital Free Trade Zone (DFTZ) in Malaysia is closely related to the Chinese e-commerce giant. It was an initiative to spearhead Malaysia’s national e-Commerce strategic roadmap and empowering Small and Medium Enterprises (SMEs) to do cross-border commerce seamlessly. As such, this study aims to understand the perception of Malaysia SMEs towards DFTZ initiative and identify the hidden trepidation of Malaysia’s SMEs towards the e-commerce platforms via focus group interview as per Grounded Theory procedures. The findings reveal that about 40% of the interviewees are pessimistic about DFTZ and did not comprehend the potential benefit beyond it. Meanwhile, apart from incompatible cost structure and digital infrastructure development, lack of technical support knowledge and digital talent in innovative marketing strategies are among the main reasons the interviewees hesitate to move towards e-commerce platforms. Therefore, the authorities are urged to take several measures such as providing significant incentives for SMEs to upskilling their workforce, nurturing technology talent and ensuring the development of digital infrastructure to eliminate the trepidation that Malaysia SMEs currently faced. Be realistic and pragmatic when reviewing the capabilities of SMEs against the world factory is utmost important in helping SME to go global and remain competitive.
{"title":"Digital Free Trade Zone in Facilitating Small Medium Enterprises for Globalisation: A Perspective from Malaysia Small and Medium Enterprises","authors":"Mui-Yin Chin, L. Foo, Falahat Mohammad","doi":"10.5296/ber.v13i2.20835","DOIUrl":"https://doi.org/10.5296/ber.v13i2.20835","url":null,"abstract":"The establishment of Digital Free Trade Zone (DFTZ) in Malaysia is closely related to the Chinese e-commerce giant. It was an initiative to spearhead Malaysia’s national e-Commerce strategic roadmap and empowering Small and Medium Enterprises (SMEs) to do cross-border commerce seamlessly. As such, this study aims to understand the perception of Malaysia SMEs towards DFTZ initiative and identify the hidden trepidation of Malaysia’s SMEs towards the e-commerce platforms via focus group interview as per Grounded Theory procedures. The findings reveal that about 40% of the interviewees are pessimistic about DFTZ and did not comprehend the potential benefit beyond it. Meanwhile, apart from incompatible cost structure and digital infrastructure development, lack of technical support knowledge and digital talent in innovative marketing strategies are among the main reasons the interviewees hesitate to move towards e-commerce platforms. Therefore, the authorities are urged to take several measures such as providing significant incentives for SMEs to upskilling their workforce, nurturing technology talent and ensuring the development of digital infrastructure to eliminate the trepidation that Malaysia SMEs currently faced. Be realistic and pragmatic when reviewing the capabilities of SMEs against the world factory is utmost important in helping SME to go global and remain competitive.","PeriodicalId":37165,"journal":{"name":"African Journal of Business and Economic Research","volume":"342 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86795405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates how cryptocurrency ownership varies across countries using a set of variables that reflect a country's overall economic circumstances and long-term outlook. Despite the nascent stage of the cryptocurrency market and the concomitant deficiency of the data on cryptocurrency, a multiple linear regression is fitted as an incipient step towards more advanced future studies. Our empirical findings show that cryptocurrency ownership is more likely to grow in a country with (1) a high human capital stock such as citizens' health and education and (2) a rich endowment of legal property rights. It was also inferred from the regression results that cryptocurrency could be an effective hedge against inflation to some extent.
{"title":"Explaining Variations in Cryptocurrency Ownership: A Cross-country Study","authors":"S. Lee, Gavin Labasse, Lara Gardner, J. Vicknair","doi":"10.5296/ber.v13i2.20764","DOIUrl":"https://doi.org/10.5296/ber.v13i2.20764","url":null,"abstract":"This study investigates how cryptocurrency ownership varies across countries using a set of variables that reflect a country's overall economic circumstances and long-term outlook. Despite the nascent stage of the cryptocurrency market and the concomitant deficiency of the data on cryptocurrency, a multiple linear regression is fitted as an incipient step towards more advanced future studies. Our empirical findings show that cryptocurrency ownership is more likely to grow in a country with (1) a high human capital stock such as citizens' health and education and (2) a rich endowment of legal property rights. It was also inferred from the regression results that cryptocurrency could be an effective hedge against inflation to some extent.","PeriodicalId":37165,"journal":{"name":"African Journal of Business and Economic Research","volume":"145 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80504159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this paper is to explain the influence factors of matchup and mismatch in the investment of highly educated laborers and income by job for new college graduates in China. Although with the economic development, employment opportunities are constantly increasing, the country has realized the polarization of education with its rapid development in China. A large number of new college graduates flooded the market. The phenomenon is that market labor demand is insufficient to meet the annual supply of new graduates entering the market, resulting in underemployment and overeducation. In China, which is in the process of economic transformation, the more prominent problems in the social labor market are overeducation and a series of mismatches in income returns. This paper has considered the effect of mismatch due to underemployment. Taking this into account, we have used the overlapping generations (OLG) model and found that the greater the mismatch, the greater the underemployment is.
{"title":"Underemployment in China: Causes and Effects","authors":"Zheng Zhou","doi":"10.5296/ber.v13i2.20757","DOIUrl":"https://doi.org/10.5296/ber.v13i2.20757","url":null,"abstract":"The purpose of this paper is to explain the influence factors of matchup and mismatch in the investment of highly educated laborers and income by job for new college graduates in China. Although with the economic development, employment opportunities are constantly increasing, the country has realized the polarization of education with its rapid development in China. A large number of new college graduates flooded the market. The phenomenon is that market labor demand is insufficient to meet the annual supply of new graduates entering the market, resulting in underemployment and overeducation. In China, which is in the process of economic transformation, the more prominent problems in the social labor market are overeducation and a series of mismatches in income returns. This paper has considered the effect of mismatch due to underemployment. Taking this into account, we have used the overlapping generations (OLG) model and found that the greater the mismatch, the greater the underemployment is.","PeriodicalId":37165,"journal":{"name":"African Journal of Business and Economic Research","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88349695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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