Domestic Credit To Private Sector Research Articles

Impact of Entrepreneurship and International Trade on Economic Growth and Development in Nigeria

This study empirically investigates the impact of entrepreneurship and international trade on economic growth and development in Nigeria from 1990 to 2022. Domestic credit to private sector (DCPS), Exchange rate (EXR), Self-employment (SEEM), Total exports ((TEX), Total imports (TIM) and inflation rate (INFR)were used as dimensions of the independent variable while Real gross domestic product (RGDP) as the dependent variable. Annual time series data were obtained from secondary sources including the CBN annual statistical bulletin, World Bank development indicators. The Eview9 Statistical Software was employed to analyze the data empirically. The Unit root test shows that real gross domestic product, domestic credit to private sector, exchange rate, self-employment, total exports and total imports are all stationary after first difference I(1) while inflation rate was stationary at level I(0). The data were analyzed using the Autoregressive distributed lag (ARDL). The results of the ARDL estimates indicate that in the long run self-employment and total exports coefficients were positively signed and statistically significant which means that increase in self-employment and total exports in Nigeria will increase real gross domestic product (Economic growth) while total imports turned up with a negative sign and also statistically significant. It portends that total import has a negative impact on economic growth and development in Nigeria in the long run. The study recommends amongst others that government should promote entrepreneurship by providing credit and grants to encourage self-employment. Government should also encourage import substitution, promote exportation of locally made goods as this has positive impact on economic growth and development in Nigeria.

Investigating the Determinants of Financial Inclusion in BRICS Economies: Panel Data Analysis Using Fixed-Effect and Cross-Section Random Effect

The current research empirically analyses the determinants of financial inclusion (FI) for BRICS (Brazil, Russia, India, China and South Africa) nations using the no. of depositors and Automated Teller Machines/user as dependent variables, a proxy for FI from 2004 to 2019. The study employs fixed-effect, cross-section random-effect and simple panel least square techniques to determine FI for different BRICS countries. The empirical findings of fixed effect and cross-section random highlight that population and internet users affirmatively and significantly influence FI. Simple panel least square analysis indicates that domestic credit to the finance sector, population, internet users and bank branches positively influence the no. of depositors in these economies. Gross domestic product (GDP) and domestic credit to private sector (DCPS) inversely affected FI. Results of the second measure of FI (ATM per user) show the exchange rate of domestic credit to the private sector, and GDP positively influences FI. These findings will induce policymakers to take corrective actions by considering the significant factors to boost FI in respective BRICS economies.

Determinants of CO2 emissions: exploring the unexplored in low-income countries.

In thirst for economic growth, economies are engaged in anti-environmental activities that drive them towards climate change and CO2 emissions. Extensive CO2 emissions is a serious threat around the globe, especially in low-income countries that can prove detrimental to the environment. To prevent the worst impacts of carbon emission, it becomes necessary to explore the cause of CO2 emissions. In this vein, this work is conducted to evaluate the determinants of CO2 emissions in low-income countries spanning from 2000 to 2020. For estimation of models, panel data techniques are employed. The outcome of the study revealed that trade FDI, urbanization, and GDPper capita are the main contributing factors to environmental degradation. Trade openness has also impacted environmental degradation positively but insignificantly. In contrast, population density and domestic credit to private sector (DCPS) have negatively impacted low-income countries' carbon emissions. The study extended important policy implications to low-income countries' governments and environmental policymakers.

The Impact of Entrepreneurial Determinants on Ease of Doing Business in English-Speaking West African Countries (ESWACS)

This study investigated the impact of entrepreneurial determinants on ease of doing business in the five English. Speaking West African Countries (ESWACs) of Nigeria, Ghana, Sierra Leone, Liberia and The Gambia. It used secondary data sourced from the OECD and the World Bank. The independent variables were the Entrepreneurial Determinants (ED) of regulatory framework peroxide by Small and Medium Enterprise Sale Tax (SSTR); access to finance proxied by both Interest Rate Spread (INTR) and Domestic Credit to Private Sector (DCPS). The dependent variable was the Ease of Doing Business Ranking (EDBR). Five research objective and five hypotheses based on the Keynesian, Monetary and Schumpeter theoretical inferences guided the study. The study used ex-post factor research design and descriptive statistical, correlation matrix, Panel-ARDL, Granger causality, and impulse response methods for the analyses. The results revealed that SSTR is positively and weakly correlated with EDBR, but has negative and weak correlation with INTR and DCPS. Long run relationship was found not to exist between SSTR, INTR and DCPS, and EDBR, but the dynamic short run ARDL regression reveals high levels of coefficient of determination. On country-specific analysis, the cross-sectional result showed SSTR, INTR and DCPS positively impacted on ease of doing business in Nigeria and Sierra Leone but had a negative impact in Ghana, Liberia and The Gambia. It was further revealed that zero Granger causality existed among SSTR, INTR, DCPS and EDBR; and mixed impulse responses were revealed from the impulse response result. It was also recommended that governments of ESWACs should ensure the continuous use of mixed expansionary policies to ensure that Entrepreneurial determinants positively impact the ease of doing business in the area.

Investigating Factors Related to Easy of Doing Business Score in Asian Countries

The objective of this study is to investigate the relationship between ease of doing business score (EDBS) and cost of business start-up procedures (CBS), age dependency ratio (ADR), strength of legal rights index (SLRI), time required to get electricity (TRGE), domestic credit to private sector (DCPS), and start-up procedures to register a business (SPRB). Since 2004, the World Bank evaluates 190 economies based on business regulatory indicators ignoring other factors that may be related to business environment. This paper investigates new factors related to EDBS ignored by the World Bank since 2004. The results of correlation analysis show a negative and significant correlation between EDB and CBS, ADR, TRGE, and SPRB. Nevertheless, a positive and significant correlation was found between EDB and SLRI and DCPS. The linear regression model finds that SLRI and DGPS affected EDB positively and significantly. However, TRGE and SPRB affected negatively to EDB. Asian policymakers should reinforce SLRI and increase DCPS. However, they should also reduce TRGE and SPRB to improve EDB. Further research should be conducted on other regions and test also other factors.

Does Foreign Direct Investment Enhance Economic Growth? Evidence from 30 Leading Global Economies

Investment expenditure is a major component of aggregate macroeconomic variables in any economy, irrespective of the development status. This article employed relevant econometric methodology on panel data environment to analyze the effects of foreign direct investment (FDI) inflows on economic growth of 30 leading global economies during the period between 1998 and 2017. Other variables considered in the analysis were domestic credit to private sector (DCPS), gross fixed capital formation (GFCF), inflation–consumer prices index (INFPC), trade openness (TOPNESS), and youth unemployment (UEMPYT). The results showed mixed growth effects of the variables in general. Specifically, FDI exerted positive and significant effect on economic growth of the countries during the period. Therefore, this article concluded that FDI inflows enhanced economic growth and emphasized the need to foster more FDI-attracting policies as well as adequate GFCF to complement FDIs for sustainable economic growth potentials. JEL Classification: C23, C33, C51, F21, F43, O47.

Determination of resource curse hypothesis in mediation of financial development and clean energy sources: Go-for-green resource policies

The study examined the role of energy demand, natural resources, and financial development indicators on carbon (CO2) emissions, emissions from fossil fuel (FFUEL) combustion, and greenhouse gas (GHG) emissions in the context of Saudi Arabia for the period of 1975–2018. The results show that electric power consumption increases CO2 emissions and GHG emissions while industry value added increases FFUEL combustion in a country. The study confirmed the U-shaped relationship between per capita income (GDPpc) and FFUEL combustion, whereas there is a monotonic increasing relationship between GDPpc and CO2 emissions in a given time period. There is a positive relationship between domestic credit to private sector (DCPS) and CO2 emissions & GHG emissions, which shows a negative impact on environmental degradation. The study verified the ‘pollution haven hypothesis’ in terms of increasing CO2 emissions and GHG emissions due to account of trade liberalization policies, while the ‘resource curse hypothesis’ is confirmed in relation of ores and metal (ORM) exports and FFUEL combustion. The following positive factors that will contribute in the Saudi vision 2030, i.e., oil rents, FDI inflows, energy prices, and trade openness will exert a positive variance shocks in terms of reduction in CO2 emissions, while electric power consumption, oil rents, and energy prices will substantially decreases FFUEL combustion over a time horizon. Finally, ORM exports, industrial value added, insurance and financial services, energy prices, trade openness, and merchandizing imports will decline GHG emissions over a next 10 years time period.

Dynamic interaction between financial development and natural resources: Evaluating the ‘Resource curse’ hypothesis

The role of natural resources in promoting economic and financial activities is important for attaining country's economic growth. The study used different natural resource rents, domestic investment, trade openness, per capita income and their resulting impact on financial development in order to assess ‘financial resource curse’ hypothesis in Pakistan by using a consistent time series data from 1975 to 2017. The study employed ARDL-Bounds testing approach that is fairly worked under different order of integrated variables and displayed short- and long-run parameter estimates. Further, the study used VAR decomposition analysis to generate Impulse Response Function (IRF) and Variance Decomposition Analysis (VDA) to assessed forecasted variance and error shocks over a next 10 year time period. The results show that, in the short-run, initial level of forest rents and oil rents supported the ‘natural resource abundance’ hypothesis, as both the rents substantially increases country's financial development, however, in the long-run, there is a negative relationship of coal rents, forest rents, natural gas rents, and oil rents with domestic credit to private sector (DCPS), which confirmed the ‘natural curse hypothesis’ in a country. The domestic investment in the form of gross fixed capital formation (GFCF) largely supported the financial activities with all given resource rents in the models, while country's per capita income unable to signify its positive impact on DCPS under the resource curse environment during the study time period. The other results show that coal rents and oil rents decreases broad money supply whereas natural gas rents decreases market capitalization to validate ‘financial resource curse’ hypothesis in a country. The results of IRF and VDA approach confirmed the viability of both the competing natural resource theories (i.e., financial resource curse and financial resource blessing hypothesis) under financial development in the next 10 year time period.

A Quantitative Assessment of the Role of the Private Sector in Economic Diversification in UAE

The United Arab Emirates (UAE) has often been addressed as a success case in the GCC region due to its implemented policies that spurred growth and development with a market-friendly approach. This study aims to investigate the relationship between economic diversification and private sector development. For this, we employed an ARDL con-integration method to check the long run as well as short run relationship between variables. We found that the domestic credit to private sector has a positive relationship with diversification index. Also, domestic credit to private sector (DCPS) percentage of GDP has both short and long run relationship with economic diversification index. The results indicate that the domestic credit to private sector will promote the economic diversification in both the short and long runs. Moreover, the government infrastructure will also promote economic diversification in the long run but not in the short run. The trade openness has a negative impact on economic diversification in the long run, but it has a positive impact in the short run.

USING EXPONENTIAL SMOOTHING METHOD IN FORECASTING DOMESTIC CREDIT TO PRIVATE SECTOR OF GHANA

The private sector of Ghana faces many problems with respect to raising capital for their operations; this is largely due to government relying heavily on the local credit market for funds for developmental projects. This study uses exponential smoothing method (ESM) in EViews to build a single sample model to forecast future domestic credit to private sector (DCPS) values in Ghana. Secondary annual data on DCPS spanning the period from 1982 to 2016 is used. The findings show that an exponential smoothing model with multiplicative error, additive trend and no seasonality fits the data best. The model had very small residual measures, which demonstrates a good model for forecasting. The estimated model is used to forecast the DCPS values for Ghana from the year 2017 to 2020. The results of this study will help private business people plan for the future. The results will also help policy makers to make informed decisions and formulate policies to improve the DCPS figures, since the private sector is the engine of growth, and crowding out would not be in the best interest of the government and the nation as a whole.

Comparative Analysis of Real Interest Rate, Domestic Credit to Private Sector, Exchange Rate and net Investment to Non-Financial Companies (1970-2017)

This study examines the comparative analysis of Real Interest Rate (RINR), Domestic Credit to Private Sector (DCPS), Exchange Rate (ExcR) and Net Investment to Non-financial companies (NIFC) from 1970 to 2017. The data was sourced from World development indicators. The result reveals that the behavior of RINR and NIFC were more stochastic while NIFC was the most volatile. There is positive association between all the variables.

Investigating the Influence of Financial Development Indicators on Economic Growth: Evidence from South Asia

The study empirically investigates the influence of Financial Development on Economic Growth in South Asia by using six indicators of Financial Development i-e: Gross Fixed Capital Formation (GFCP), Broad Money (M2), Domestic Credit to Private Sector (DCPS), Market Capitalization (MC), Trade Openness (TO) and Foreign Direct Investment (FDI). While Economic Growth is measured by Real Gross Domestic Product per Capita (GDP). For this purpose, the study used panel data from “World Development Indicators” for the period of 1980-2015 of six major South Asian countries i.e. Pakistan, India, Bangladesh, Bhutan, Sri Lanka and Nepal. These countries have common feature of being under-developed. The study shows its uniqueness by considering six under-developed South Asian countries and applying three result estimation techniques i-e: Pooled Group Mean (PMG), The Mean Group (MG) and The Dynamic Fixed Effect (DFE). Different results were produced through these three techniques. Final conclusion was drawn on the basis of Hausman test; that is PMG model estimation technique. Unit root test was also applied to check stationarity. The long run results of PMG model show significance of all independent variables, while short run results state insignificance of all independent variables except FDI. The results are consistent with the literature. Along with other recommendations, the study, especially, focuses that the trade barriers should be removed among South Asian countries as trade openness has positive influence on economic growth. It will result in expanding the magnitude of growth.