scholarly journals Testing the Existence of the Ricardian Equivalence in Ghana in this 21st Century

1970 ◽  
Vol 2 (2) ◽  
pp. 16-27
Author(s):  
Okwan Frank ◽  
Kovacs Peter
Keyword(s):  
Time Series Data ◽  
Aggregate Demand ◽  
Government Expenditure ◽  
Gdp Per Capita ◽  
Series Data ◽  
Ricardian Equivalence ◽  
Consumption Expenditure ◽  
Model Framework ◽  
Long Run ◽  
Per Capita

The Ricardian Equivalence Hypothesis formulated by a classical British economist David Ricardo argues that a reduced tax now is a tax increase in the future, the substitution of debt for current taxes has no effect on aggregate demand. The main objective of this paper is to examine empirically the existence of the Ricardian equivalency in Ghana by using time series data running from 1990 to 2017 and ARDL bound testing approach to cointegration and Error Correction Model framework developed by Pesaran and Shin (1995,1999). We examined the long run relationship between the dependent variable household final consumption expenditure and independent variables government expenditure, deficit, GDP per capita and gross debt. The long run results showed a positive and significant relationship between GDP per capita and household consumption expenditure. The result of analysis supports the Keynesian conventional theory and found strong evidence against the existence of the Ricardian Equivalency Hypothesis in Ghana.

scholarly journals The Impact of Macroeconomic variables on the credit provided by Saudi Banks: تأثير المتغيرات الاقتصادية الكلية على التمويل المصرفي في المملكة العربية السعودية (دراسة قياسية شملت البيانات من 1970م – 2012م)

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Eyas Jafar Abdel Rahim
Keyword(s):  
Banking Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Government Expenditure ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Bank Deposits ◽  
Long Run ◽  
The Impact

The study aimed to examine the impact of macroeconomic variables of the Saudi economy as in Gross Domestic Product (GDP), Government Expenditure (G), Economic Openness (OPE), Inflation Rate (CPI) and the Bank Deposits (DS) on the credit provided by Saudi banks (BF), on annual time series data between 1970-2012. To investigate this relationship, the study used Autoregressive Distributed Lag method (ARDL) to measure the long-run and short-run impact, At that the E-views 8.1 has been used for analyze the cointegration,the diagnostic, the reliability - stability tests, and the forecasting behavior of the model. The study found that (BF) is affected positively by (GDP) growth rate in the long-run. Also the (BF) has been affected negatively in the short and long-run by inflation rates (CPI) and government expenditure (G). Consequently the Contractionary Fiscal Policy in recent period will not lead to reduce the financial performance of Saudi banks, and the growth of (GDP) in the future will have positive impact on the financing capacity of the Saudi banking sector.

scholarly journals Is Fiscal Policy Effective in Generating Higher Real Output? A Case of Pakistan

2013 ◽  
Vol 1 (2) ◽  
pp. 47-58
Author(s):  
Hafiz Saqib Mehmood Najmi ◽  
Farrukh Bashir ◽  
Saman Maqsood
Keyword(s):  
Fiscal Policy ◽  
Time Series Data ◽  
Government Expenditure ◽  
Cointegration Test ◽  
Series Data ◽  
Government Revenue ◽  
Real Gdp ◽  
Long Run ◽  
Johansen Cointegration Test ◽  
Motivating Factor

Keeping in view the objective that is to observe the usefulness of fiscal policy on real GDP of Pakistan, the study collects time series data from 1976 to 2012 through reliable sources of statistical bureaus of Pakistan. Using Johansen Cointegration test, the long run results demonstrate investment and government expenditure as raising factor for real GDP of Pakistan while GDP Deflator and government revenue as de-motivating factor for real GDP of Pakistan in the long run.

scholarly journals Emisi Karbon dan Produk Domestik Bruto: Investigasi Hipotesis Environmental Kuznets Curve (EKC) pada Negara Berpendapatan Menengah di Kawasan ASEAN

2020 ◽  
Vol 8 (3) ◽  
pp. 230-246
Author(s):  
Muhamad Ameer Noor ◽  
Putu Mahardika Adi Saputra
Keyword(s):  
Environmental Kuznets Curve ◽  
Carbon Emission ◽  
Time Series Data ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Series Data ◽  
Kuznets Curve ◽  
Middle Income ◽  
Trade Offs ◽  
Per Capita

Policymakers in the world are concerned with carbon emission due to the risk of global warming. Many studies on Environmental Kuznets Curve (EKC) consider carbon emission as a proxy of environmental degradation. This study aimed to investigate the existence of EKC and identify variations of relationships between carbon emissions and GDP per capita in ASEAN middle-income countries. The study was conducted on Indonesia, Thailand, Philippines, and Malaysia based on 1971-2014 time series data using a simultaneous model (2SLS) for each country. The main variables studied were GDP per capita, square of GDP per capita, and carbon emission supported by other variables as the controlling variables. Validation on EKC existence was determined by GDP and GDP squared influence on carbon emission, while variations of relationship between GDP and carbon emission were based on the result of simultaneous regressions. The results showed that the existence of the EKC could not be validated in all countries because energy and transportation policies in each country failed to reduce the emission. On the other hand, carbon emission had a positive unidirectional influence on GDP in all countries. The effect of carbon emission coefficient to GDP showed that Thailand ranked the highest in CO2 efficiency, followed by Indonesia, Philippines, and Malaysia. This study recommended that carbon emission reduction policies in the four countries should focus more to easier access to environmentally friendly technology from developed countries for ensuring trade-offs between the economy and environment.

Does Infrastructure Matters in Government Spending? A Case Study of Jammu and Kashmir (India) with Cointegration Approach

2017 ◽  
Vol 9 (2) ◽  
pp. 82-97 ◽  
Author(s):  
Samir Ul Hassan ◽  
Biswambhara Mishra
Keyword(s):  
Government Spending ◽  
Time Series Data ◽  
Government Expenditure ◽  
Jel Classification ◽  
Series Data ◽  
Data Set ◽  
Jammu And Kashmir ◽  
Long Run ◽  
The Government ◽  
The Impact

This study is an attempt to investigate the impact of infrastructure level on government spending in short and long run and also to find the tendency of infrastructure level to stabilise any disequilibrium in government spending in long run. Infrastructure is related to the quality and quantity of goods and services provided by government to the population, to fulfil their diverse demands. The state of Jammu and Kashmir (J&K) is not an exception; the increasing trend in different aspects of population and rising needs and aspirations of the growing population forces the government to increase expenditure on that count, which results in increase in aggregate government spending. Using multivariate cointegration technique followed by vector error correction model (VECM) model on annual time-series data for the period from 1984 to 2013 with broader data set of infrastructure dimension, the study found that the infrastructure variables cause major variation in government expenditure in short as well as in long run. Study shows that infrastructure related to health, education, roads and portable water produce positive and significant impact on the growth of government spending and infrastructure related to these dimensions has significant tendency to stabilise any disequilibrium in government spending in long run. JEL Classification: H3, H5, H53, I

scholarly journals A non-equilibrium formulation of food security resilience

2017 ◽  
Vol 4 (1) ◽  
pp. 160874 ◽  
Author(s):  
Matteo Smerlak ◽  
Bapu Vaitla
Keyword(s):  
Time Series ◽  
Food Security ◽  
High Frequency ◽  
Time Series Data ◽  
Security Policies ◽  
Series Data ◽  
Poor Countries ◽  
Long Run ◽  
Per Capita ◽  
Non Equilibrium

Resilience, the ability to recover from adverse events, is of fundamental importance to food security. This is especially true in poor countries, where basic needs are frequently threatened by economic, environmental and health shocks. An empirically sound formalization of the concept of food security resilience, however, is lacking. Here, we introduce a general non-equilibrium framework for quantifying resilience based on the statistical notion of persistence. Our approach can be applied to any food security variable for which high-frequency time-series data are available. We illustrate our method with per capita kilocalorie availability for 161 countries between 1961 and 2011. We find that resilient countries are not necessarily those that are characterized by high levels or less volatile fluctuations of kilocalorie intake. Accordingly, food security policies and programmes will need to be tailored not only to welfare levels at any one time, but also to long-run welfare dynamics.

scholarly journals Macroeconomic Determinants of Inclusive Growth in Pakistan: An ARDL Approach

2019 ◽  
Vol IV (II) ◽  
pp. 105-118
Author(s):  
Vivek Anand ◽  
Muhammad Qasim Nizamani ◽  
Farheen Qasim Nizamani
Keyword(s):  
Time Series Data ◽  
Government Expenditure ◽  
Health Sector ◽  
Negative Relationship ◽  
Series Data ◽  
Inclusive Growth ◽  
Infrastructure Development ◽  
Economic Determinants ◽  
Distributed Lag ◽  
Long Run

There is increasing concern that growth in most part of the world in not distributed equitably. This is particularly the situation in Pakistan, where the economic growth is uneven and biased toward the affluent. This study aims to present empirical analysis to characterize the association between inclusive growth and its macro-economic determinants in Pakistan. In this context, the study employs annual time-series data for 23 years (1994-2017). In order to obtain long-run and short-term results, both auto-regressive distributed lag (ARDL) and error correction model (ECM) was being implemented. The findings of the study reveal that infrastructure development and government consumption have a positive and significant impact on the long-term inclusive growth of Pakistan. In contrast, a negative relationship is being observed between inflation, health expenditure and inclusive growth. Based on the findings, the study suggests that policymakers should develop appropriate policies to promote healthy government expenditure, infrastructure development, control inflation, and bring transparency in the health sector for fostering inclusive growth in Pakistan.

scholarly journals Macroeconomic determinants of total factor productivity and its trend in Ethiopia

2019 ◽  
Vol 8 (6) ◽  
pp. 219-228
Author(s):  
Adisu Abebaw Degu ◽  
Dagim Tadesse Bekele
Keyword(s):  
Foreign Direct Investment ◽  
Total Factor Productivity ◽  
Direct Investment ◽  
Time Series Data ◽  
Trade Openness ◽  
Government Expenditure ◽  
Series Data ◽  
Factor Productivity ◽  
Macroeconomic Factors ◽  
Long Run

Total factor productivity (TFP) as a source of economic growth, has been recognized in economic theory for a long period of time. In this research we tried to examine the effect of some macroeconomic factors, which include trade openness, inflation, government expenditure, credit extended and foreign direct investment, and natural disaster drought on total factor productivity and its trend in Ethiopia by using Time series data spanning from 1991 to 2018.  The TFP was computed by using the growth accounting method from Cobb–Douglas production function.  ARDL was used for estimation of the short and long run econometric model.  Accordingly, the trend analysis shows the growth in TFP has been fluctuating over the study period. The result from ARDL indicated that; in long run foreign direct investment, government expenditure and drought negatively and significantly affect TFP. Credit extended is found to affect TFP positively and significantly, while inflation and trade openness are insignificant. Therefore, policies such as; subsidizing domestic firms, effective government spending and making the agriculture sector drought resistant need to be stimulated.

scholarly journals FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH IN MALAYSIA FROM 1990 TO 2019: VECM APPROACH

2021 ◽  
Vol 3 (8) ◽  
pp. 37-54
Author(s):  
Norhidayati Mohamed Zakaria ◽  
Mohamad Yazis Ali Basah
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Time Series Data ◽  
Global Financial Crisis ◽  
Gdp Per Capita ◽  
Series Data ◽  
Integration Test ◽  
Domestic Credit ◽  
Per Capita ◽  
The Relationship

Economists believe that efficient financial development is significant for building sustainable economic growth in any country. The global financial crisis, economic events and country’s uniqueness has resulted in continuous research to examine the relationship of financial and economic development using numerous methods and indicators which presented various simulation that led to different views on the linkages. Most of the studies had tested the indicators individually which resulted in less dynamic findings and creates a gap in the research. Hence, this paper aims to examine the relationship between financial development and economic growth in Malaysia by observing different economic indicators concurrently. This study using Malaysia’s annual time series data from 1990 to 2019. This study employs descriptive statistics, regression estimations, unit root test, Johansen co-integration test, VAR, and VECM modeling. The FTSE Kuala Lumpur Composite Index (FBMKLCI) and domestic credit as a percentage to GDP (DC) have been used as proxies for financial development while GDP per capita and Industrial Production Index (IPI) as proxies for economic growth. The findings reveal that FBMKLCI and domestic credit produces a significant relationship towards GDP per capita in the long run and short run. Contrary results found in FBMKLCI-domestic credit-IPI nexus whereby FBMKLCI and domestic credit demonstrate negative association towards IPI. As this study uses the same variables to indicates the relationship towards unalike economic growth gauge, more dynamic work and effort shall be considered to enhance the results. Government and respective institutions shall play their role effectively to revisit or formulate policy and law of the financial system to stimulate the growth of the Malaysian economy.

scholarly journals The Impact of CO2 Emissions on the GDP per Capita, Employment Rate and Energy Consumption of China, Korea and Japan

2021 ◽  
Vol 6 (11) ◽  
pp. 315-333
Author(s):  
Allieah A. Mendoza ◽  
Kirby Duane Garret T. Reyes ◽  
Pauline Antonette D. Soriano ◽  
Ronaldo Cabauatan
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Gdp Per Capita ◽  
Series Data ◽  
Kuznets Curve ◽  
Total Employment ◽  
Cointegration Tests ◽  
Per Capita ◽  
The Impact

This paper aims to investigate the relationship between CO2 Emissions and GDP per capita of three East Asian countries (China, Japan, and South Korea). The Environmental Kuznets Curve hypothesis and its possible implications to the implementation of the Kyoto Protocol Agreement will be tested. The independent variables Employment and Energy consumption will be used as control variables. Multiple regression analysis and cointegration tests will be used on time series data of Japan, Korea, and China that is obtained from the World Bank database. GDP per capita is measured in constant 2010 US$, CO2 emission in kt, Employment in the ratio of total employment to total population aged 15 and above, and Energy Consumption in annual kWh per capita.

scholarly journals The Kenya Case of Multivariate Causality of Carbon Dioxide Emissions

2016 ◽  
Author(s):  
Samuel Asumadu-Sarkodie ◽  
Phebe Asantewaa Owusu
Keyword(s):  
Carbon Dioxide ◽  
Financial Development ◽  
Carbon Dioxide Emissions ◽  
Food Production ◽  
Time Series Data ◽  
Cointegration Analysis ◽  
Gdp Per Capita ◽  
Series Data ◽  
Production Index ◽  
Per Capita

In this study, an attempt was made to investigate the Kenya case of multivariate causality of carbon dioxide emissions by employing a time series data spanning from 1961-2011 using the ARDL method of cointegration analysis. The long-run elasticities show that, a 1% increase in financial development increases carbon dioxide emissions by 0.28%, a 1% increase in GDP per capita increases carbon dioxide emissions by 1.32% and a 1% increase in urbanization decreases carbon dioxide emissions by 1.14%. There was a unidirectional causality running from financial development, food production index, GDP per capita, industrialization and urbanization to carbon dioxide emissions. The innovation accounting shows that 20% of future shocks in carbon dioxide emissions are due to fluctuations in financial development, 9% of future shocks in financial development are due to fluctuations urbanization and 22% of future shocks in food production index are due to fluctuations in carbon dioxide emissions.

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