The Impact of FinTech on Economic Performance and Financial Stability in MENA Zone

2021 ◽  
pp. 70-93
Author(s):  
Souhaila Kammoun ◽  
Sahar Loukil ◽  
Youssra Ben Romdhane Loukil
Keyword(s):  
Economic Performance ◽  
Financial Stability ◽  
Time Series Data ◽  
Freedom Of Expression ◽  
Empirical Support ◽  
Multiple Regression Model ◽  
Series Data ◽  
Positive Role ◽  
The Impact

This chapter deliberates on the effects of FinTech on economic performance in the context of political instability in MENA zone countries. Using a multiple regression model to estimate time series data based on a sample of 10 MENA zone countries for 2011, 2014, and 2017, the study contends that FinTech's lending activities increase inflation and that this effect could be interestingly moderated by sound policies and regulations. In addition, the authors find empirical support for the FinTech's role as a driver of economic growth and a breeding ground for innovative projects in a context of freedom of expression, association, and media. In terms of practical implications, decision makers are asked to formulate and implement sound policies and regulations that permit and promote the positive role of FinTech in terms of economic performance.

The Impact of FinTech on Economic Performance and Financial Stability in MENA Zone

2020 ◽  
pp. 253-277 ◽  
Author(s):  
Souhaila Kammoun ◽  
Sahar Loukil ◽  
Youssra Ben Romdhane Loukil
Keyword(s):  
Economic Performance ◽  
Financial Stability ◽  
Time Series Data ◽  
Freedom Of Expression ◽  
Empirical Support ◽  
Multiple Regression Model ◽  
Series Data ◽  
Positive Role ◽  
The Impact

This chapter deliberates on the effects of FinTech on economic performance in the context of political instability in MENA zone countries. Using a multiple regression model to estimate time series data based on a sample of 10 MENA zone countries for 2011, 2014, and 2017, the study contends that FinTech's lending activities increase inflation and that this effect could be interestingly moderated by sound policies and regulations. In addition, the authors find empirical support for the FinTech's role as a driver of economic growth and a breeding ground for innovative projects in a context of freedom of expression, association, and media. In terms of practical implications, decision makers are asked to formulate and implement sound policies and regulations that permit and promote the positive role of FinTech in terms of economic performance.

scholarly journals Fiscal Consolidation and Macroeconomic Variables in India: A Cointegration Analysis

2018 ◽  
Vol 4 (02) ◽  
Author(s):  
Chittaranjan Nayak ◽  
Manaswini Panda
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Empirical Support ◽  
Private Investment ◽  
Cointegration Analysis ◽  
Series Data ◽  
Crowding Out ◽  
Fiscal Deficit ◽  
Fiscal Consolidation ◽  
The Impact

Fiscal consolidation is in the forefront of policy discussion in India since 1990s. But the debate on fiscal consolidation and its real effects has been unable to attain any culmination so far on analytical as well as empirical grounds. The present paper tries to examine the impact of fiscal consolidation on growth, inflation, private investment, and exchange rate in India by analysing a time series data for the period from 1980-81 to 2013-14. The paper observes that there exists a long run relationship between GDP, fiscal consolidation, inflation and private investment. Fiscal deficit reduces GDP significantly. This finding gives empirical support to the neoclassical school of thought. However, the paper does not find any significant crowding-out evidence in India. The conclusion as such is sensitive to lag selection, and inclusion of variables. Although necessary diagnostic checking has been done, a robust analysis warrants a longer time series. The question remains inconclusive that if fiscal deficit does not cause significant crowding-out of private investment, then what are the channels of its negative influence on GDP.

Globalization, role of institutions and economic performance in Indian economy

2019 ◽  
Vol 11 (1) ◽  
pp. 82-100 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Economic Performance ◽  
Time Series Data ◽  
Empirical Support ◽  
Institutional Quality ◽  
Series Data ◽  
Content Type ◽  
Indian Economy ◽  
Integration Test ◽  
Short Run

PurposeUsing time series data for the period 1982-2016, this study aims to explore the effect of globalization, institutional quality on economic performance for Indian economy by endogenizing financial development.Design/methodology/approachThe stationarity properties of the variables are tested by Saikkonen and Lütkepohl unit root test, and the co-integration test proposed by Bayer–Hanck (2013) is used to check the long- and short-run relationship among the variables. The robustness is established by autoregressive distributed lag approach (ARDL), and the Granger causality test is used to assess the causal relationship among the variables.FindingsThe empirical findings indicate the existence of the co-integrating relationship among the variables, and the ARDL estimates reveal that both globalization and institutional quality act as important key drivers for India’s economic performance. However, the institutional quality does not affect the short-run economic growth.Research limitations/implicationsThe study finds that institutional quality and globalization index are crucial to accelerate economic performance. Therefore, policy efforts should be focused on the improvement of these indicators by offering protection of property rights, reduction in government corruption, reducing political instability, price stability and stable macroeconomic environment. This study recommends that policy should be geared toward development of financial sector, promotion of financial integration, which will create the environment for the efficient allocation of credit.Originality/valueThis study provides empirical support for the proposition that both globalization and institutional quality matter for India’s emerging economic growth by taking account of the structural break.

scholarly journals The Impact Of Human Capital On Nigeria's Economic Growth

2021 ◽  
Vol 17 (15) ◽  
Author(s):  
Yusufu Nigel Bachama ◽  
Aisha Adamu Hassan ◽  
Bello Ibrahim
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Time Series Data ◽  
Trade Openness ◽  
Health Sector ◽  
Series Data ◽  
Development Indicators ◽  
Distributed Lag ◽  
The Impact

Despite abundant evidence at microeconomic level, the role of human capital in promoting economic growth and development has not been well documented at the macroeconomic level – specifically in developing countries. This paper seeks to examine the role of human capital on economic growth in Nigeria using time series data covering the period from 1970-2019. The data are sourced from Central Bank of Nigeria (CBN) statistical bulletin and World Development Indicators of the World Bank. The data are analyzed using Autoregressive Distributed Lag model (ARDL). The study reveals that expenditure on health and education are found to be positively and significantly related with economic growth both in the short-run and long-run. However, labor negatively impact on economic growth and it was found to be significant. Again, trade openness and inflation are insignificant in explaining economic growth in this paper. Thus, the paper recommends that, Nigerian government should focus on improving the educational and health sector. Meaning that, huge amount of government budgetary allocation should be directed toward educational and health sector. So also, government should create more jobs opportunities (through skills acquisitions/ vocational training) to minimize the unemployment rate in the country.

scholarly journals Impact of Remittance on Economic Development of Nepal

2017 ◽  
Vol 10 (1) ◽  
pp. 19-30
Author(s):  
Rameshwar Acharya
Keyword(s):  
Economic Development ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Fixed Capital Formation ◽  
Annual Time Series ◽  
The Government ◽  
The Impact ◽  
Annual Time

This study assesses the impact of remittance on Gross Domestic Product (GDP), Gross National Product (GNP) and Per Capita Income (PCI) of Nepal employing multiple regression method on national annual time series data for a period of 41 years (from 1974/75 to 2014/15). The results show that there is positive impact of remittance on GDP, GNP and PCI. Further, the findings clearly provide an evidence of predictive power of fixed capital formation on economic development. But the role of export could not be established. Finally, to foster the economic development, it is suggested that the government should initiate policy to channelize the remittance income into the productive uses by offering attractive investment schemes to the remittance receiving families.

scholarly journals Fiscal Response to Terrorism in Pakistan: The Role of Institutions

2021 ◽  
Vol 5 (1) ◽  
pp. 154-192
Author(s):  
Tahir Mukhtar ◽  
Zainab Jehan
Keyword(s):  
Fiscal Policy ◽  
Time Series Data ◽  
Institutional Quality ◽  
Jel Classification ◽  
Defense Spending ◽  
Series Data ◽  
Tax Revenue ◽  
The Government ◽  
The Impact

This study empirically estimates the fiscal consequences of terrorism in Pakistan by using annual time series data from 1984 to 2016. By employing the autoregressive distributed lag (ARDL) technique, the study has gauged the impact of terrorist incidents on two important facets of fiscal policy, namely, tax revenue and defense spending. The results reveal that terrorism has detrimental ramifications for fiscal policy in Pakistan. Specifically, on the one hand, an increase in terrorist incidents tends to bring a fall in tax revenue while on the other hand, they induce a rise in defense outlays, thus deteriorating both fronts of the fiscal position. Notably, the moderating role of institutional quality appears significant and indicates that institutional quality has not only a significant direct impact on fiscal policy, but it also helps in completely mitigating (reducing) the harmful impact of terrorism on defense spending (tax revenue) in Pakistan. These findings suggest that there is a need to take appropriate steps for strengthening institutional setup to control the fallouts of terrorism on fiscal behavior of the government of Pakistan. Keywords: Terrorism; Tax Revenue; Institutional Quality; ARDL JEL Classification: E62; H2; E02; H5; F35

A Time Series Approach to Forecasting Angling Activity at a Recreational Site Based on Past Successes

1983 ◽  
Vol 40 (12) ◽  
pp. 2189-2193 ◽  
Author(s):  
Donald N. Steinnes ◽  
Raymond L. Raab
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Economic Value ◽  
Multiple Regression Model ◽  
Series Data ◽  
Extended Model ◽  
Benefit Cost Analysis ◽  
Time Series Approach ◽  
Lag Structure ◽  
The Impact

A multiple regression model was developed for estimating or forecasting the impact of past fishing "successes" on the current angling activity or participation at a recreational site. Through this approach we demonstrate the usefulness of time series methodology as a forecasting tool by investigating the lag structure of success and measuring its elasticity. We evaluated empirical results, based on daily time series data for a Lake Superior river; these indicate that anglers respond more to past total success at the site than to past success per unit of effort at the site. Finally, we examined how the model could be extended so as to estimate the economic value of catching a fish and how, in turn, such an extended model might be part of a comprehensive approach for valuing changes in habitat using benefit-cost analysis.

RURAL INFRASTRUCTURAL DEVELOPMENT AND ECONOMIC GROWTH: A TIME-SERIES EVIDENCE FROM PAKISTAN (1981-2010)

2012 ◽  
Vol 02 (01) ◽  
pp. 51-57
Author(s):  
Rao Ishtiaq Ahmad ◽  
Shahnawaz Malik
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Rural Areas ◽  
Time Series Data ◽  
Series Data ◽  
Positive Role ◽  
Data Set ◽  
Infrastructural Development ◽  
The Impact ◽  
Determinants Of Economic Growth

Main purpose of this study is to find out the role of rural infrastructural development on economic growth of Pakistan. It has been hypothesized that rural infrastructural development has significant positive role for enhancement of economic growth. For the purpose of investigation we utilize such a model which may reflect the steady-state equilibrium differences in a Barro-type framework consisting of Solow type sets of variables and allow conditional convergence. On the basis of time series data set of Pakistan from 1981 to 2010, we employ OLS methodology so as to measure the impact of rural infrastructural development on economic growth of Pakistan. In view of limitations regarding categorization of data on regional basis, we use developmental public expenditures in rural areas as a proxy for rural infrastructural development. After analysis, we are of the view that rural infrastructural development has a positive role for economic growth of Pakistan, however, its role has found to be less significant in comparison to capital and labour as determinants of economic growth.

scholarly journals Empirical Implications of Decentralization Dimensions and the Role of Political Institutions in the Economic Growth of Pakistan

2021 ◽  
Vol 4 (1) ◽  
pp. 52-80
Author(s):  
Muhammad Shahid ◽  
Dr Rukhsana Kalim
Keyword(s):  
Economic Growth ◽  
Political Institutions ◽  
Time Series Data ◽  
Allocative Efficiency ◽  
Policy Implications ◽  
Political Freedom ◽  
Series Data ◽  
Distributed Lag ◽  
The Impact

Decentralization is the fundamental policy variable used to enhance the allocative efficiency through public spending / tax priorities, subject to the local demand. The current study evaluates the impact of the various dimensions of decentralization on the economic growth of Pakistan for the years 1972-2018. Ng-Perron tests and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) were applied to fix the unit root problem in the time series data. To find the cointegration among decentralization, the role of institutions, and economic growth the Autoregressive Distributed Lag Approach (ARDL) was used. The outcomes suggested that tax decentralization is a growth promoting policy. On the contrary, administrative and political decentralization negatively affect the economic growth. The analysis shows that political freedom also has a growth retarding impact on the economy. The current study is useful regarding the policy implications of the process of decentralization.

FINANCIAL STABILITY AND THE ROLE OF ECONOMIC AND FINANCIAL INTEGRATION IN SOUTH ASIA: EVIDENCE FROM TIME-SERIES DATA

2017 ◽  
Vol 65 (02) ◽  
pp. 303-333 ◽  
Author(s):  
SAMIA NASREEN ◽  
SOFIA ANWAR
Keyword(s):  
Time Series ◽  
Financial Stability ◽  
Financial Integration ◽  
Time Series Data ◽  
Stability Index ◽  
Series Data ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

Using the aggregate financial stability index (AFSI) which measures the gradual progression and changes in financial market stability, this paper empirically evaluates the impact of financial and economic integration on financial stability in South Asian countries using time-series data for the period 1980–2012. Auto-regressive distributed lag (ARDL) Bounds testing approach to cointegration is applied to ensure long-run relationship between variables. Bound F-test results confirm the long-run relationship between selected variables. The estimated results show that economic and financial integration has exerted a significant negative effect on financial stability in long run.

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