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1 – 10 of 65Anushka Verma, Prajakta Sandeep Dandgawhal and Arun Kumar Giri
The present study aimed to examine the relationship between information and communication technologies (ICT) diffusion, financial development and economic growth in the panel of…
Abstract
Purpose
The present study aimed to examine the relationship between information and communication technologies (ICT) diffusion, financial development and economic growth in the panel of developing countries for 2005–2019.
Design/methodology/approach
The study employed the principal component analysis (PCA) to extract the index of ICT diffusion. First-generation panel unit root tests such as Levine Lin Chu (LLC), Im Pesaran Shin (IPS), Augmented Dickey-Fuller (ADF) and Phillips and Perron (PP) were employed to check the stationarity of the variables. Pedroni and Kao co-integration techniques were used to examine the existence of the long-run relationship, and co-integration coefficients were estimated using FMOLS and dynamic ordinary least squares (DOLS). The panel Granger causality approach examined the short-run and long-run causality.
Findings
The results confirmed that ICT diffusion, financial development and trade openness accelerate growth, whereas inflation dampens economic growth. Further, the causality test showed bidirectional causality between ICT growth and financial development growth but a unidirectional causality from financial development to ICT diffusion in developing countries.
Originality/value
The study recommends synchronizing public and private sector investment for a synergistic effect on ICT infrastructure and adequate investment in the financial sector to increase the growth rate in developing countries. Economic policies should be adopted toward incentives and subsidies to ensure affordable ICT services for disadvantaged communities. Also, training programs focussing on enhancing digital literacy to enable all segments of the population to use digital platforms for financial services are recommended.
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Clement Olalekan Olaniyi and Nicholas M. Odhiambo
This study examines the roles of cross-sectional dependence, asymmetric structure and country-to-country policy variations in the inflation-poverty reduction causal nexus in…
Abstract
Purpose
This study examines the roles of cross-sectional dependence, asymmetric structure and country-to-country policy variations in the inflation-poverty reduction causal nexus in selected sub-Saharan African (SSA) countries from 1981 to 2019.
Design/methodology/approach
To account for cross-sectional dependence, heterogeneity and policy variations across countries in the inflation-poverty reduction causal nexus, this study uses robust Hatemi-J data decomposition procedures and a battery of second-generation techniques. These techniques include cross-sectional dependency tests, panel unit root tests, slope homogeneity tests and the Dumitrescu-Hurlin panel Granger non-causality approach.
Findings
Unlike existing studies, the panel and country-specific findings exhibit several dimensions of asymmetric causality in the inflation-poverty nexus. Positive inflationary shocks Granger-causes poverty reduction through investment and employment opportunities that benefit the impoverished in SSA. These findings align with country-specific analyses of Botswana, Cameroon, Gabon, Mauritania, South Africa and Togo. Also, a decline in poverty causes inflation to increase in the Congo Republic, Madagascar, Nigeria, Senegal and Togo. All panel and country-specific analyses reveal at least one dimension of asymmetric causality or another.
Practical implications
All stakeholders and policymakers must pay adequate attention to issues of asymmetric structures, nonlinearities and country-to-country policy variations to address country-specific issues and the socioeconomic problems in the probable causal nexus between the high incidence of extreme poverty and double-digit inflation rates in most SSA countries.
Originality/value
Studies on the inflation-poverty nexus are not uncommon in economic literature. Most existing studies focus on inflation’s effect on poverty. Existing studies that examine the inflation-poverty causal relationship covertly assume no asymmetric structure and nonlinearity. Also, the issues of cross-sectional dependence and heterogeneity are unexplored in the causal link in existing studies. All panel studies covertly impose homogeneous policies on countries in the causality. This study relaxes this supposition by allowing policies to vary across countries in the panel framework. Thus, this study makes three-dimensional contributions to increasing understanding of the inflation-poverty nexus.
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Aaqib Sarwar, Muhammad Asif Khan, Zahid Sarwar and Wajid Khan
This paper aims to investigate the critical aspect of financial development, human capital and their interactive term on economic growth from the perspective of emerging economies.
Abstract
Purpose
This paper aims to investigate the critical aspect of financial development, human capital and their interactive term on economic growth from the perspective of emerging economies.
Design/methodology/approach
Data set ranged from 2002 to 2017 of 83 emerging countries used in this research and collected from world development indicators of the World Bank. The two-step system generalized method of moments is used to conduct this research within the endogenous growth model while controlling time and country-specific effects.
Findings
The findings of the study indicate that financial development has a positive and significant effect on economic growth. In emerging countries, human capital also has a positive impact on economic growth. Financial development and human capital interactively affect economic growth for emerging economies positively and significantly.
Research limitations/implications
The data set is limited to 83 emerging countries of the world. The time period for the study is 2002 to 2017.
Originality/value
This research contributes to the existing literature on human capital, financial development and economic growth. Limited research has been conducted on the impact of financial development and human capital on economic growth.
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The purpose of this study is to empirically examine the impact of financial development on poverty reduction in Egypt. The paper also investigates whether financial development…
Abstract
Purpose
The purpose of this study is to empirically examine the impact of financial development on poverty reduction in Egypt. The paper also investigates whether financial development affects poverty via gross domestic product (GDP) growth.
Design/methodology/approach
This study uses the autoregressive distributed lag approach to estimate two specifications. The first is dependent on poverty by the ratio domestic credit to the private sector (percentage of GDP) and the second is dependent on the poverty by the ratio liquid liabilities to GDP or M3/GDP. The data are annual and cover the period from 1980 to 2015.
Findings
In long run, the study finds that relationship between economic growth and poverty is bidirectional. Financial development and poverty (household final consumption expenditure per capita) are complementary as bidirectional (in Granger sense). In short run, the study finds the bidirectional causality between financial development (real domestic credit to private sector per capita) and poverty reduction.
Practical implications
The findings suggest that governments should remove policies that impede the ability of banks to offer loan products or undermine the commercial incentive structure for banks or borrowers. It is crucial to enhance the role of specialized state-owned banks in financial intermediation.
Social implications
Several attempts have been made to investigate the relationship between financial development and other macroeconomic variables, but few studies have examined the impact of financial development on poverty reduction. Furthermore, the majority of the previous studies are based on Asia and Latin America – affording Egypt very little or no coverage at all.
Chi Aloysius Ngong, Kesuh Jude Thaddeus, Lionel Tembi Asah, Godwin Imo Ibe and Josaphat Uchechukwu Joe Onwumere
This research investigates the bond between stock market development and agricultural growth in African emerging economies from 1990 to 2020.
Abstract
Purpose
This research investigates the bond between stock market development and agricultural growth in African emerging economies from 1990 to 2020.
Design/methodology/approach
Agricultural value added to the gross domestic product measures agricultural growth and market capitalization and stock value traded measure stock market development.
Findings
The findings disclose that market capitalization negatively affects agricultural growth while stock value traded positively affects agricultural growth in the fully modified and dynamic ordinary least square techniques. The findings unveil bidirectional causality between labour and agricultural value added with unidirectional causality flow from agricultural value added to market capitalization and stock value traded.
Research limitations/implications
The governments should promote agricultural growth initiatives which stimulate stock market development. Effective methods required to encourage credit flow to the agricultural enterprises through the stock markets' intermediation should be promoted using aggressive policies which eliminate credit flow bottlenecks. Policy makers and regulatory authorities should implement policies which attract investors to the agricultural sector and encourage companies' listing in the stock markets. The capital market funding should be expanded to boost economic growth through agricultural value added.
Originality/value
Literature reveals divergent results on the relationship between stock market development and agricultural growth. Earlier studies provide conflicting findings on the bond between stock market development and agricultural growth. Some findings indicate positive link between stock market development and agricultural growth, while others show a negative association. Studies' results reveal opposing directions of causality between stock market development and agricultural growth.
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Himanshu Goel and Bhupender Kumar Som
This study aims to predict the Indian stock market (Nifty 50) by employing macroeconomic variables as input variables identified from the literature for two sub periods, i.e. the…
Abstract
Purpose
This study aims to predict the Indian stock market (Nifty 50) by employing macroeconomic variables as input variables identified from the literature for two sub periods, i.e. the pre-coronavirus disease 2019 (COVID-19) (June 2011–February 2020) and during the COVID-19 (March 2020–June 2021).
Design/methodology/approach
Secondary data on macroeconomic variables and Nifty 50 index spanning a period of last ten years starting from 2011 to 2021 have been from various government and regulatory websites. Also, an artificial neural network (ANN) model was trained with the scaled conjugate gradient algorithm for predicting the National Stock exchange's (NSE) flagship index Nifty 50.
Findings
The findings of the study reveal that Scaled Conjugate Gradient (SCG) algorithm achieved 96.99% accuracy in predicting the Indian stock market in the pre-COVID-19 scenario. On the contrary, the proposed ANN model achieved 99.85% accuracy in during the COVID-19 period. The findings of this study have implications for investors, portfolio managers, domestic and foreign institution investors, etc.
Originality/value
The novelty of this study lies in the fact that are hardly any studies that forecasts the Indian stock market using artificial neural networks in the pre and during COVID-19 periods.
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Mahfuza Maliha Lubna and Sanjoy Kumar Saha
In light of Bangladesh’s economy, the goal of this study is to examine the “Twin Deficit Hypothesis (TDH),” which refers to a link between the budget deficit and the current…
Abstract
Purpose
In light of Bangladesh’s economy, the goal of this study is to examine the “Twin Deficit Hypothesis (TDH),” which refers to a link between the budget deficit and the current account deficit. This study used yearly time series data from 1980 to 2020 to investigate the phenomena.
Design/methodology/approach
A multivariate autoregressive distributive lag (ARDL) model has been presented for empirical investigation, with the ARDL bound test investigating the co-integration between the inadequacies. As some of the variables in the bound test lack co-integration, the study adds a multivariate vector autoregressive (VAR) model later on.
Findings
With evidence of the result, the study supports the validation of twin deficit hypothesis in Bangladesh economy since both current account deficit and fiscal deficit affects each other significantly whereas Granger causality test confirms that fiscal deficit causes current account deficit but not the other way around.
Practical implications
The government should maintain a restrictive monetary policy in order to stabilize the current account deficit.
Originality/value
The novelty of this study is the incorporation of inflation, real exchange rate and GDP per capital to TDH that together form the basis for a macroeconomic snapshot of the economy.
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Carlos Fernando Ordóñez Vizcaíno, Cecilia Téllez Valle and Pilar Giráldez Puig
The aim of this paper is to analyse the spillover effects of microcredit on the economy of Ecuador, with a particular focus on its potential as a poverty alleviation mechanism.
Abstract
Purpose
The aim of this paper is to analyse the spillover effects of microcredit on the economy of Ecuador, with a particular focus on its potential as a poverty alleviation mechanism.
Design/methodology/approach
To address our research questions, we take into account the distance between cantons (Ecuador’s own administrative distribution) by adopting a spatial autoregressive (SAR) model. To this end, a database will be constructed with macroeconomic information about the country, broken down by canton (administrative division of Ecuador), and in a 2019 cross section, with a total of 1,331 microcredit operations in all 221 of Ecuador’s cantons.
Findings
We find a positive effect of microcredit on these neighbouring regions in terms of wealth generation.
Research limitations/implications
We acknowledge that this study is limited to Ecuadorian cantons. Nonetheless, it is crucial to emphasize that focussing on an under-represented developing country like Ecuador adds significant value to the research.
Practical implications
Facilitating access to microcredit is one of the main solutions to address the goals proposed in the sustainable development goals (SDGs).
Social implications
Microcredit activity contributes to the creation of value and wealth in Ecuador, exerting a spillover effect in neighbouring areas that can generate positive multiplier effects and alleviate poverty. For all of the above reasons, our proposal for the country is to support and promote microcredit as one of the main solutions to address the goals proposed in the SDGs.
Originality/value
The novelty of this study lies in the use of spatial econometrics to observe the indirect effects of microcredit on the regions bordering the canton in which it was issued, thus examining the spatial effects of microcredit on wealth distribution.
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Alhassan Musah, Ibrahim Nandom Yakubu and Abdul-Fatawu Shaibu
The study investigates the impact of information and communications technology (ICT) and financial development on tourism development in Ghana.
Abstract
Purpose
The study investigates the impact of information and communications technology (ICT) and financial development on tourism development in Ghana.
Design/methodology/approach
The researchers employ data covering from 1995Q1 to 2020Q4 and apply the autoregressive distributed lag (ARDL) estimation technique.
Findings
The findings reveal that ICT exerts a positive significant impact on tourism development in both long- and short-term periods. The authors find that financial development has a negative significant effect on tourism development in the long run. However, financial development significantly increases tourism revenue in the short term. The results further reveal a significant positive link between infrastructure development and tourism receipts in the long run.
Originality/value
This study is a pioneering effort to investigate the impact of ICT and financial development on tourism development in Ghana, as far as the researchers are aware. Additionally, the use of an index of ICT adds novelty to the literature. In terms of policy, the findings of this study can inform policymakers on the importance of investing in ICT and financial development to boost the tourism industry in Ghana.
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Noemi Sinkovics and Jason Archie-acheampong
This study aims to investigate how different academic fields within and outside of international business (IB) engage with the topics of social value creation in the context of…
Abstract
Purpose
This study aims to investigate how different academic fields within and outside of international business (IB) engage with the topics of social value creation in the context of multinational enterprises (MNEs). The aim is to take stock of the main themes and offer suggestions for future research avenues.
Design/methodology/approach
The paper undertakes a scoping review. The authors use the Web of Science database to identify relevant articles. The database search yielded 466 articles. The NVivo software was used to code and identify key thematic areas.
Findings
The matrix analysis performed in NVivo yielded 15 main thematic areas spanning 37 research fields. However, further analysis revealed that 89 per cent of the articles originated from 13 fields. Furthermore, while IB journals represent the second-largest field home to publications related to the social value creation of MNEs, they only account for 12 per cent of the sample.
Originality/value
The paper responds to prior calls to reduce disciplinary silos through the performing of a thematic analysis across a multitude of research fields.
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