Mobile Subscribers Research Articles

Does ICT adoption influence the bank’s risk-taking behavior? Evidence from advanced, developing and emerging nations

PurposeThis is the first attempt to investigate the impact of information and communication technology (ICT) on the risk-taking behavior of banks.Design/methodology/approachThis study considers 74 advanced, developing and emerging countries in the period of 2010–2021. The study considers internet use, mobile subscriptions, broadband access and ATM availability as ICT indicators, while using bank Z_score as a proxy for risk-taking. To get comprehensive insights, pooled OLS, fixed effect models and generalized methods of moments (GMM) are applied.FindingsIt is found that ICT has a consistently positive influence on the risk-taking behavior of banks in advanced, developing and emerging countries. Notably, internet users and broadband access have a bigger impact in advanced economies, but mobile cellular subscriptions and ATMs are more significant in developing and emerging countries. Other factors, such as GDP growth and market capitalization, positively influence the bank’s risk-taking approaches, but the cost-to-income ratio and inflation have an inverse connection.Practical implicationsThis will provide useful advice to the government, bank executives, financial regulators, policymakers, regulators, academicians, technology developers and other relevant stakeholders who want to maximize the advantages of ICT in the banking sector while reducing related risks.Originality/valueThis is the first study to examine the impact of ICT on banks’ risk-taking approaches in advanced, developing and emerging countries.

Leaving No One Behind: Examining the effect of financial, gender, and digital inclusion on sustainable development

AbstractThis paper analyzes the effects of different dimensions of inclusion toward the attainment of sustainable development in 33 sub‐Saharan African (SSA) countries from the financial, gender, and technological perspectives between 2004 and 2021. This study employs the System Generalized Method of Moments given its ability to address potential endogeneity issues, capture the dynamic nature of relationships, and mitigate potential biases while adopting the Driscoll–Kraay standard errors for robustness check. Findings reveal two of the three measures of financial inclusion wield positive and significant effects on sustainable development while credit to the private sector is found to be detrimental. Also, all three measures of gender inclusion (female employment to population, female labor force participation rate, and the number of women holding a seat in parliament) positively influence sustainable development. Contrastingly, the coefficients of digital inclusion (mobile phone subscription and internet usage) were revealed to be harmful to sustainable development in SSA. This paper advocates for increased financial inclusion through financial literacy, customized financial products, and gender‐sensitive financial services. Pertinent are gender policies that address gender norms in addition to the enactment, avowed commitment, and support for affirmative action toward closing gender gaps across all sectors and at all levels.

Factors influencing regional disparities in online shopping

Online shopping has grown exponentially in the Russian Federation (hereinafter referred to as RF, Russia) in recent years. This growth has significantly accelerated during the COVID-19 pandemic. However, data shows that there are inter-regional disparities in the use of online shopping. This includes intergenerational and rural-urban disparities. This study investigates the factors responsible for inter-regional differences in the development of online shopping in Russia. The author has identified 5 main factors that can influence the development: internet infrastructure (measured by regional expenses for the introduction of digital technologies and the number of connected mobile subscribers), economic wealth (measured by gross regional product), standard of living (measured by the population income), rate of poverty, and the region’s population. The research uses data of the Federal State Statistics Service and Association of Internet Trade Companies to analyse 85 regions in the RF. A multi-level regression analysis has enabled examination of the 5 factors and the contextual influence of 8 federal districts of Russia in level 2. The results show that internet infrastructure, economic wealth, population size, and the 8 federal districts has influenced the development of online shopping in the RF, but standard of living is not statistically significant. The author recommends that policymakers pay attention to these underlying factors.

Impact of digital transformation on financial stability in emerging markets: evidence from Ethiopia

This insightful study delves into the intricate relationship between key digital finance adoption indicators and the stability of the banking sector in Ethiopia, an emerging economy undergoing rapid digitalization. Covering annual data from 1991 to 2022 and utilizing an autoregressive distributed lag (ARDL) approach alongside Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) techniques, the researchers uncover thought-provoking findings that challenge conventional wisdom. Contrary to expectations of a positive long-term association, the analysis reveals a statistically significant negative relationship between both internet usage and mobile phone subscriptions and Ethiopia's banking system's financial stability. This robust result, validated through rigorous robustness checks, suggests that the breakneck pace of digital transformation may outpace the development of robust regulatory frameworks and risk management practices, ultimately undermining the overall stability of the financial sector. Interestingly, the short-term analysis presents a more nuanced picture, with mobile phone subscriptions exhibiting a stabilizing effect in the immediate aftermath. This intriguing dichotomy highlights the complex and evolving dynamics at play, where the challenges of integrating digital finance with the traditional banking infrastructure and the persistence of informal financial activities potentially offset the benefits of enhanced financial inclusion and transaction efficiency. These thought-provoking findings carry crucial implications for policymakers and industry stakeholders navigating the digital revolution. Policy implications emphasize the need for robust regulatory frameworks, enhanced cyber security measures, and improved financial literacy. The findings underscore the importance of a nuanced approach to digital finance in emerging economies, advocating for continuous adaptation of policies to address the evolving landscape of financial technology. Continued inquiry can better guide policies that foster digital transformation while safeguarding stability, especially in rapidly developing regions like sub-Saharan Africa.Graphical

Impact of Internet and mobile communication on cyber resilience: a multivariate adaptive regression spline modeling approach

The spread of broadband Internet and the availability of mobile communication services expand access to digital services for businesses and the public alike. However, at the same time, it aggravates the problem of ensuring digital space security, protection against cyber threats, and the fight against cybercrime. This research aims to calculate the index of a country's resilience to cyber-hacking for 143 countries, to divide these countries into groups based on this resilience (high, above-average, average, below-average, and low), compare these results with those obtained on the basis of National Cyber Security Index (NCSI), and to identify the impact of the Internet and mobile communication prevalence in a country on this level. The selection of the countries is based on the availability of statistical data for 2022 in the databases of the Surfshark VPN service, and the International Telecommunication Union. The integral index of a country's resilience to cyber-hacking is calculated through the multiplicative convolution (with weighted geometric mean) of the number of breached accounts, the Internet penetration probability (penetration into users’ data through the Internet), and the breach density per thousand users. The influence of active mobile broadband subscriptions (per 100 inhabitants), mobile broadband basket (% of Gross National Income Per Capita), mobile cellular subscriptions (per 100 inhabitants), and total fixed broadband subscriptions on the integral index of a country's resilience to cyber-hacking is investigated using multivariate adaptive regression spline. According to the calculations, France, Iceland, Montenegro, the United States, and the United Arab Emirates were the least resistant to cyber hacking in 2022. For countries with high, above-average, and below-average levels of resilience to cyber-hacking, the most relevant factor is the number of active mobile broadband subscriptions (per 100 inhabitants). For countries with an average level, it is total fixed broadband subscriptions.

Modelling and forecasting mobile money customer transaction volumes in rural and semi-urban Malawi: An autoregressive integrated moving average spatial decomposition

Mobile money technologies in Malawi have revolutionised banking and monetary transactions across geographical barriers. Prospects of profit have drawn mobile money agents to invest in the business but find it is more profitable when substantial customers subscribe to the cash-in and cash-out facilities of mobile money. Despite the initial success, several challenges have emerged, including regulatory hurdles, network reliability issues, and the need for increased financial literacy among users. The volumes of transactions in the rural areas are observably lower compared to urban areas. This study uses Bvumbwe township in Malawi to model and forecast the discrepancy of mobile money transactions in rural and semi-urban Malawi. The study uses ARIMA modelling to understand the temporal manifestation of mobile money subscription in these localities. Using ARMA (1,1) models decomposed for the semi-urban and rural area, the study finds that the semi-urban area has a disproportionately higher and lasting volume of mobile money transactions compared to the rural area. The study also finds that mobile money transactions are more susceptible to long-lasting effects of external shocks in the rural area compared to the urban area. Intuitively, the day-to-day relationship in the transactions is also stronger in the rural area. These findings highlight the need for tailored policy interventions to enhance mobile money adoption and utilization in different geographical contexts.

Examining the Relationship Between Mobile Cellular Subscriptions and Inclusive Growth: SADC Members

Abstract Inclusive growth had faced global challenges in social and gender disparities issues, especially in the Southern African Development Community (SADC) region, which affects its administrations and distributions in modern development contexts. Recognised international institutions have used the term inclusive growth as a description of growth that is formed through labor force and distributions focusing on well-being. This study examines the relationship between mobile cellular subscriptions and inclusive growth to improve the standard of living using a panel autoregressive distributed lag (ARDL) approach from 2000 to 2020. The economic growth context studies applied were unable to capture the demand for improving welfare and expectations to lessen poverty, while promoting inclusivity for SADC. Moreover, SADC economic growth partially dealt with the inclusive growth challenges of network connectivity, poor household benefit sharing, and a fast-growing population by applying non-validated methods that were useful to measure economic growth but fail to respond to inclusive growth. The World Bank (WB) and International Telecommunication Union (ITU) databases were used to identify that there is a positive and statistically significant relationship between mobile cellular subscriptions and inclusive growth in the long run. The findings of this study contribute by clarifying and urging policymakers and researchers concerned about equitable economic development to incorporate this sufficient to the relevant upbringing of communication channels to embrace inclusive growth opportunities to expand inclusive growth rapport and channels.

Examining the Influence of ICT Penetration on Gender Disparities: A Data Panel Econometric Analysis of the Seven Southeast Asian Developing Countries

The aim of the study is to analyze to which Information and Communications Technology (ICT) penetration affects gender disparities in seven Southeast Asia’s developing countries. ICT indicators are measured through the individuals using the internet, mobile phone subscriptions, and internet subscriptions. Aside, the seven Southeast Asia’s developing countries include Indonesia, Cambodia, Laos, Malaysia, Thailand, Philippines, and Vietnam. These countries are selected as they have comparable economic development stage from lower to upper-middle income economics on the basis 2022’s World Bank Country Income Classification. The data panel econometrics is carried out to measure the effect of the independent variables towards gender disparity. Gender disparity is represented by the Gender Inequality Index. The time series data is yearly from 2000 to 2022. The econometric assessment shows the individual internet ownership and subscription have a negative and significant effect to gender disparity. It means that more internet penetration can lower the gender disparity in those seven countries. The academic implication is to enhance economic consideration towards more internet penetration and access to reduce gender disparity. In the heart of policymaking, our research indicates more internet accessibility to reduce gender disparity. As in the common knowledge, the internet is a source of information and knowledge to society

On emergent mobile phone-based social engineering cyberattacks in developing countries: The case of the Zambian ICT sector

The number of registered SIM cards and active mobile phone subscribers in Zambia in 2020 surpassed the population of the country. This development and the integration of mobile phone systems with financial payment systems has not come without a cost. Cyberattackers, using various social engineering techniques have jumped onto the bandwagon to defraud unsuspecting users. Considering the aforesaid, this paper presents a high-order analytical approach towards mobile phone-based social engineering cyberattacks (phishing, SMishing, and vishing) in Zambia which seek to defraud benign victims. This paper presents a baseline study to reiterate the problem at hand. The research used a mixed-methods approach, combining quantitative and qualitative data, and adopted a hybrid descriptive research design. Furthermore, an attack model and an evaluation framework were devised to ascertain the most prevalent types of mobile phone-based cyberattacks. Based on logistic regression analysis, the findings indicate that the most prevalent type of mobile phone-based social engineering cyberattack in Zambia is SMishing. Based on the results and observed insights, recommendations to mitigate these emergent social engineering cyberattacks were suggested. This research serves as a valuable baseline for understanding and addressing the growing challenges posed by mobile phone-based cyberattacks in Zambia's evolving technological landscape.

ICT and Agricultural Development in South Africa: An Auto-Regressive Distributed Lag Approach

The use of Information Communication Technology (ICT) forms a significant component of the Fourth Industrial Revolution (4IR). This study examined the impact of ICT on agricultural development in South Africa utilizing time series data from 1995 to 2022. Agricultural development was measured through agricultural output and agriculture total factor productivity as dependent variables. Traditional factors of production (land, labor, and capital) together with ICT variables (mobile cellphone subscriptions, Internet usage, and fixed telephone subscriptions) were used. Additional variables such as inflation, human development, access to energy and climate change were used. Data analysis was performed using the ARDL approach. The findings revealed that mobile phone subscriptions and Internet usage positively affect agricultural output and ATFP in the short and long run despite having a negative effect through the second lag in the short run. Fixed telephone subscriptions negatively affect ATFP in the long run while affecting output negatively in the short run through the first lag. Land, human development index, access to energy, and capital generally exhibited an increasing effect on both agricultural output and ATFP both in the short and long run through the various models estimated. Climate change and inflation were generally found to affect both agricultural output and ATFP negatively in the short and long run. The study concluded that ICT plays a significant role in promoting agricultural output and total factor productivity growth. Recommendations included that the South African government should promote the digitalization of the agriculture sector through the provision of ICT infrastructure that can be utilized by both smallholder farmers and large-scale agricultural producers.

The Role of Time Zone Differences on Bilateral Service Flows from Kenya

ABSTRACT This study investigates the effect of time zone differences on service exports (total and nine categories—travel, transport, computer and information, construction, financial, insurance, government, other business services, and personal, cultural, and recreational services) from Kenya. Estimates from the Poisson Pseudo-Maximum Likelihood (PPML) estimator of the gravity model on bilateral service exports data from Kenya to 176 countries, for the period 2005–2019, show that the effects of time zone differences between Kenya and partner countries is positive and statistically significant in technology-sensitive service exports (computer and information) while negative for construction and government service exports. Further analysis shows that these results are robust when an alternative model is employed and overlapping workday hours are used. The authors also find that the effect of time zone differences on services is nonlinear and sensitive to regulations and physical infrastructure (particularly mobile subscriptions). Attracting investment in technology-sensitive sectors should be encouraged through appropriate policy, given the positive impact of time zone differences on their exports. Traders in these sectors can also create networks with foreign firms. Deregulating and developing information and communication infrastructure, to expand mobile subscriptions, should also be encouraged.

Drivers of Small-Scale Farmers' Adoption of Mobile Phone Technology for Rice Production and Marketing in Dodoma Region

Despite the benefits of Mobile Phone Technology (MPT) in enhancing agricultural communication in Tanzania, a significant gap exists between the rise in mobile phone subscriptions and the actual adoption of MPT by farmers for agricultural production and marketing. This study utilised multinomial logistic regression to analyse factors influencing MPT adoption among 454 small-scale farmers in Bahi District, Dodoma Region. The findings indicated that 62 percent of the farmers adopted MPT, while 38 percent did not. Key factors influencing MPT adoption for rice production communication only included; having household members under 15 years, mobile phone ownership, time spent on using mobile phones, land size, use of hired labour, market distance and distance to all-weather roads. This study revealed that significant determinants for the adoption for rice marketing communication only were farmer’s sex, time spent on mobile phones and market distance. Further, the study showed that significant factors for the adoption for combined rice production and marketing communication were the farmer’s education level, mobile phone ownership, land size, use of family and hired labour, and market distance. Understanding these factors provides a foundation for developing interventions to increase MPT adoption among key stakeholders. Increased adoption of MPT will improve access to market information and agricultural practices in rural areas, thereby enhancing rice production and marketing and improving farmers’ livelihoods.

Digitalisation and income inequality in Central and Eastern European countries

The COVID-19 pandemic has highlighted the importance of digital technologies in business and daily life. The paper aims to explore the theoretical and empirical aspects of the relation between digitalisation and income inequality in Central and Eastern European (CEE) countries between the years 2000-2020. It contributes to existing research on determinants of income inequality, focussing on the potential negative role of digitalisation as an unnoticeable driver of income inequality in CEE countries. To investigate the potential impact of digitalisation on income inequality, empirical analysis was performed for the sample of 10 CEE countries, namely Bulgaria, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Poland, Romania, the Slovak Republic and Slovenia. The results of canonical correlation analysis indicated that the sets of variables related to digitalisation and inequality as a group are significantly related to each other and a strong correlation exists between them. The relative contribution of each indicator to each standardised function showed that the highest values of significant standardised coefficients were observed for income inequality indicators such as the top 10% share, the Gini coefficient, and the top 1% share, while in digitalisation measures, the highest value was observed for Internet users and fixed and mobile broadband subscriptions.

Does the digital economy improve female employment? A cross-country panel data analysis

The digital economy has had an impact on the female employment rate over time. Currently, the researchers are more interested in investigating the impacts of the digital economy by focusing on its various aspects of female employment. The current study is motivated by this renewed interest to investigate the impact of the digital economy on female employment rates in Asian Developing Countries from 1990 to 2021. The digital economy is measured by several indicators such as fixed telephone subscriptions, fixed broadband subscriptions, mobile phone subscriptions, secure internet servers, and internet users. The Panel Autoregressive Distributed Lag (PARDL) model is used for analysis that reveals a positive relationship between female employment rates and the digital economy in both the short and long run. The control variables/factors, Education and GDP, also showed positive relationships with female employment. We suggest that governments prioritize funding for digital infrastructure and encourage fair access to technology, especially for women, based on our study. Furthermore, the positive effects of the digital economy on female employment can be strengthened through focused policy interventions, such as offering financial incentives to companies that hire and train women in digital skills. By utilizing these tactics, policymakers can guarantee that women are prepared to take advantage of the chances brought about by the quickly changing digital landscape, promoting gender equality and inclusive economic growth throughout Asian developing nations.

Economic Growth Through Tourism: A Global Analysis Using CS-ARDL Approach

This paper examines the effects of tourism receipts and governance on economic growth in a panel of 103 countries. The short-run results of the Cross-Sectional Autoregressive Distributed Lag (CS-ARDL) model, indicate that labour force and fixed capital positively impact on economic growth, highlighting the significance of investing in infrastructure and maintaining a vibrant workforce. The validity of the Tourism-Led Growth (TLG) theory in the short and as well as in the long-run has been proved by a robust and significant positive connection between tourism receipts and GDP growth. Surprisingly, the presence of mobile cellular subscriptions (ICT) in the model does not affect economic growth significantly, indicating the possibility of reaching a point of technical saturation. Trade has a substantial influence on short-term GDP growth, while the role of governance in economic development is complex and might depend on contextual settings. The results indicate that attraction of worldwide tourists can substantially impact economic growth. Further research should investigate the time-based and regional aspects of these connections to improve our comprehension of the dynamics of economic growth.

Machine learning approach of multi‐RAT selection for travelling users in 5G NSA networks

AbstractThe rapid increment of mobile device usage and the corresponding huge data volume generated afterwards, necessitated the utilisation of the 5G network spectrum. This is deployed today in terrestrial communication in a non‐stand‐alone (NSA) architectural mode; where 5G networks are supported by 4G LTE networks. Hence, the current 5G implementation with the gargantuan number of mobile subscribers, poses challenges to the choice of network Radio Access Technology (RAT) selection between 4G and 5G networks, among available multiple base‐stations to mobile (travelling) users, with respect to their location, bandwidth requirement, and mobility style. Hence, to address the scenario presented above, the authors record live signal measurements of 4G and 5G networks by a travelling user, that transversed multiple 5G NSA base stations. RAT selection implementations were carried out with support vector machine (SVM), deep neural network (DNN), and eXtreme Gradient Boosting (XGBoost) algorithms to select an appropriate RAT between 4G and 5G RATs, for effective resource allocation for travelling users’ requirements. Evaluation of results with standard classification metrics shows XGBoost with overall outstanding accuracy performance at 99.64%.

Time-varying interrelations between digitalization and human capital in Vietnam

In this study, we use a time-varying parameter vector autoregression in conjunction with the extended joint connectedness approach (TVPVAR-EJC) to examine the interrelationships among five variables, namely digitalization measured by the number of individuals using the Internet (% of the population), mobile cellular subscriptions (per 100 people), human capital index, CO2 emissions, and GDP, from 1996 to 2019 in Vietnam. Net total directional connectedness of digitalization and other variables suggests that it consistently acts as a net shock transmitter, whereas human capital was found to be a net receiver of corresponding shocks from 1997 to 2019. The emission of CO2 was a net critical receiver in 1998 but remained as a net transmitter for the rest of the period. Pairwise connectedness reveals that digitalization appeared as a net shock transmitter in connection with the human capital index and GDP. In the relationship with human capital, digitalization’s role was critical.

Digital financial inclusion and environmental sustainability in Africa: the moderating effect of income inequality

PurposeThis study examines the effect of digital financial inclusion (DFI) on climate change in African countries, taking into account the moderating effect of income inequality.Design/methodology/approachThis study employs panel data from 53 African countries between 2004 and 2021 and utilises the random-effects model and two-step generalised method of moments (GMM) to estimate the relationships amongst DFI, income inequality, CO2 emissions and renewable energy consumption (REC).FindingsOur findings reveal that increased accessibility to automated teller machines (ATMs) leads to a reduction in CO2 emissions and an increase in REC. However, the effect of ATMs on CO2 emissions is stronger for individuals with lower incomes, whereas REC is higher for those with higher incomes. Additionally, mobile cellular subscriptions (MCS) increase both CO2 emissions and REC; however, when income inequality is considered, it results in a reduction in CO2 emissions and an increase in REC. Furthermore, Internet usage reduces CO2 emissions and increases REC in Africa, with income inequality levels further improving its contribution.Practical implicationsATM accessibility and energy efficiency are means to mitigate carbon dioxide emissions and encourage the adoption of renewable energy sources.Originality/valueThis study is one of the first to explore the effects of income inequality on DFI, CO2 emissions and REC, highlighting its importance in Africa and its potential impact on environmental sustainability.

Reach and impact of a nationwide media campaign in Ethiopia for promoting safe breastfeeding practices in the context of the COVID-19 pandemic

BackgroundIn response to the COVID-19 challenge and the consequent concerns and misconceptions about potential mother-to-child virus transmission, the United Nations Children’s Fund (UNICEF), in collaboration with the Ethiopian Ministry of Health, launched a 3-month nationwide media campaign to promote appropriate and safe breastfeeding practices using national and regional television and radio channels, as well as social media. This study assesses the reach and impact of a media campaign in Ethiopia on improving mothers’, partners’/caregivers’, and the public’s awareness of and practices related to appropriate and safe breastfeeding.MethodsA two-round mobile survey was conducted using random digit dialing (RDD) and an interactive voice response (IVR) system. In order to assess the impact of the media campaign, the study compared outcomes related to awareness, perceptions, and safe breastfeeding practices using post-intervention comparison data across levels of exposure (exposed vs. unexposed to the campaign). A propensity score matching (PSM) analysis was performed using a two sample test of proportions to estimate the impact of the media campaign.ResultsAmong the 3170 mobile subscribers who completed the survey questions, half (50%) reported that they had seen or heard media advertisements about appropriate breastfeeding, the importance of continuing breastfeeding during the COVID-19 pandemic, and how to safely breastfeed a baby when a mother is suspected or confirmed with COVID-19. The PSM analysis showed that exposure to the media campaign was significantly associated with awareness and perceptions of the importance of continuing appropriate breastfeeding during the pandemic among the general public (proportion difference, 0.16; 95% CI, 0.12–0.19; p < 0.0001) and mothers with children under 2 years old or their partners (proportion difference, 0.06; 95% CI, 0.01–0.12, p = 0.01).ConclusionsThe nationwide media campaign promoting safe breastfeeding practices in the context of COVID-19 reached half of the target breastfeeding mothers and the general public and had a significant impact on awareness and perceptions about the importance of continuing appropriate and safe breastfeeding practices. Future media campaigns should ensure that the intensity and frequency of media spots are appropriate to achieve adequate exposure, message recall, and influence infant and young child feeding behaviors.

Embracing the digital revolution: Examining the relationship between ICT adoption and carbon emissions in the Persian Gulf.

In this digital age, promoting economic development through technology innovation and adoption has become a pressing matter, contributing to increased productivity and, in turn, carbon emissions. Consequently, this study employs a novel technique (Newey-West Standard Error Method, Technology Adaptation Model) to quantify information and communication technology (ICT) adoption rates as a proxy indicator for evaluating the Persian Gulf economy's technology development. Moreover, this study investigates the evidence of the environmental Kuznets curve, with trade openness, technological adoption, and innovation as sustainable development controls. The findings reveal that two of three technological innovation instruments, fixed telephone, and internet subscriptions, increase carbon emissions. In contrast, mobile cellular subscriptions simultaneously reduce carbon emissions in the Persian Gulf. Furthermore, measures of technology adoption, high-technology exports, and electricity use contribute to the increase in carbon emissions. Trade openness also raises carbon emissions in the Persian Gulf. These findings suggest that policymakers must develop technological innovation and adoption strategies that effectively promote a greener environment.