scholarly journals THE NEXUS BETWEEN THEEXTERNAL SECTOR AND INFLATION IN NIGERIA, 1985 -2018

2021 ◽  
Vol 9 (11) ◽  
pp. 1151-1160
Author(s):  
Leera Lenu Kpagih ◽  
◽  
Deekor Leelee N ◽  
Ezebunwo Nyeche ◽  
◽  
...  
Keyword(s):  
Time Series Data ◽  
Global Market ◽  
Cointegration Test ◽  
Series Data ◽  
Economic Variable ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Short Run ◽  
External Sector ◽  
The Impact

The interaction between different economies in the global market could have impact on their key economic variables. Hence, this study set out to examine the impact of the external sector on a key economic variable in Nigeria being Inflation. The study utilized time series data from 1985 to 2018 which was subjected to Augmented Dickey Fuller Test. The next step was to subject the data to an ARDL cointegration test. The result showed that in the short run and long run external sector variables do not have any significant impact on inflation in Nigeria. The paper suggests that money supply and fiscal policy should be used to control inflation in Nigeria.

Impact of exchange rate and oil price on the yield of sovereign bond and sukuk: Evidence from Malaysian capital market

2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman
Keyword(s):  
Exchange Rate ◽  
Capital Market ◽  
Time Series Data ◽  
Oil Prices ◽  
Oil Price ◽  
Series Data ◽  
Sovereign Bond ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.

Does Public Debt Service Expenditure Crowd-Out Economic Growth? Empirical Evidence from an African Developing Country

2019 ◽  
Vol 64 (3) ◽  
pp. 23-38
Author(s):  
Talknice Saungweme ◽  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
Public Debt ◽  
Time Series Data ◽  
Policy Formulation ◽  
Debt Service ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Impact

Abstract This paper contributes to the ongoing debate on the impact of public debt service on economic growth; and it provides an evidence-based approach to public policy formulation in Zimbabwe. The empirical analysis was performed by applying the autoregressive distributed lag (ARDL) technique to annual time-series data from 1970 to 2017. The study findings reveal that the impact of public debt service on economic growth in Zimbabwe is negative in the short run but positive in the long run. The results are suggestive of the existence of a crowding-out effect of public debt service in Zimbabwe in the short run and a crowding-in effect in the long run. In view of these findings, the government should consider fiscal and financial policies that promote a constant supply of long-term finance, long-term fixed investments, and extension of a government securities maturity structure so as to ensure sustainable short- and long-term public debt service expenditures. The study further recommends the strengthening of non-distortionary revenue mobilisation reforms to reduce market distortions and boost domestic investment.

scholarly journals Political Stability and its Impact on Economic Growth of Pakistan (1988-2018): A Time Series Analysis

2020 ◽  
Vol 6 (1) ◽  
pp. 273-282
Author(s):  
Majid Hussain Phul ◽  
Muhammad Saleem Rahpoto ◽  
Ghulam Muhammad Mangnejo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Political Stability ◽  
Series Data ◽  
Explanatory Variables ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Positive Effect

This research paper empirically investigates the outcome of Political stability on economic growth (EG) of Pakistan for the period of 1988 to 2018. Political stability (PS), gross fixed capital formation (GFCF), total labor force (TLF) and Inflation (INF) are important explanatory variables. Whereas for model selection GDPr is used as the dependent variable. To check the stationary of time series data Augmented Dickey Fuller (ADF) unit root (UR) test has been used,  and whereas to find out the long run relationship among variables, OLS method has been used. The analysis the impact of PS on EG (EG) in the short run, VAR model has been used. The outcomes show that all the variables (PS, GFCF, TLF and INF) have a significantly positive effect on the EG of Pakistan in the long run period. But the effect of PS on GDP is smaller. Further, in this research we are trying to see the short run relationship between GDP and other explanatory variables. The outcomes show that PS does not have such effect on GDP in the short run analysis. While GFCF, TLF and INF have significantly positive effect on GDP of Pakistan in the short run period.

scholarly journals Climate Change Impact On Rice Production in Pakistan: An ARDL-Bounds Testing Approach to Cointegration

2018 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Yuansheng Jiang ◽  
Habibullah Magsi
Keyword(s):  
Climate Change ◽  
Time Series Data ◽  
Rice Production ◽  
Series Data ◽  
Bounds Testing ◽  
Long Run ◽  
Short Run ◽  
Bounds Testing Approach ◽  
The Impact ◽  
Ardl Bounds Testing Approach

This research paper aims to examine the relationship between CO2, temperature, area, fertilizers and rice production in Pakistan. This study used Augmented Dickey Fuller (ADF) and Phillips Perron (PP) unit root tests to check the order of integration of each variable. The cointegration analysis with ARDL bounds testing approach is used to examine the impact of climate change on rice production in Pakistan over time series data from the period 1968 to 2014. The parameter stability test of the model is also checked at the end. The results of estimation show that the important variables of the study are cointegrated demonstrating the presence of long-run association among them. Furthermore, climate change factors, e.g. CO2 and temperature have a long-run and short-run positive effect on the production of rice in Pakistan. This present work is original and it is first time empirically tested the impact of climate change on rice production in Pakistan. The annual time series data of 47 years enhances the validity of the empirical findings. The most fruitful finding of this research is that rice production in Pakistan is positively influenced by emission of carbon dioxide (CO2) at 5 percent significance level in both long-run and short-run.

scholarly journals Impact of Poverty and Population Increase on Environmental Degradation: A Comparative Study of Pakistan and India

2020 ◽  
Vol 3 (2) ◽  
pp. 169-176
Author(s):  
Sher Ali ◽  
Bibi Aisha Sadiqa ◽  
Sajjad Ali ◽  
Shabana Parveen
Keyword(s):  
Air Pollution ◽  
Industrial Production ◽  
Co2 Emission ◽  
Time Series Data ◽  
Population Increase ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
Annual Time Series ◽  
The Impact

This study is devoted to elucidating the impact of poverty and population increase on air pollution (CO2-emission) in the two most populous countries of South Asia i.e. Pakistan and India. Annual time series data for the period of 1990-2018 are used to examine the said impact. To estimate the desired impact Autoregressive Distributed Lags (ARDL) technique is used. It is observed that CO2 emission is significantly determined by population increase and poverty in case of India. In the case of Pakistan population increase significantly affect CO2 emission in both the short run and long run, while poverty don not contributed significantly in the long run. Industrial production if found positive and statistically significant in both the runs. Stability of the model and other diagnostic tests are also employed not serious econometric problems are repowered. It is suggested on the bases of results that serious steps should be taken to reduce environmental pollution by reducing population increase and poverty. Industrial production also contributed to air pollution therefore industrial policies are also needed to be employed to reduce Air pollution.

scholarly journals The African Continental Free Trade Area and Its Employment-Generation Potentials in Nigeria’s Industrial Sector

2021 ◽  
Vol 2 (2) ◽  
pp. 21-38
Author(s):  
Oziengbe Scott Aigheyisi ◽  
Keyword(s):  
Free Trade ◽  
Time Series Data ◽  
Free Trade Area ◽  
Industrial Sector ◽  
Global Market ◽  
Series Data ◽  
Trade Area ◽  
Long Run ◽  
Short Run ◽  
Employment Generation

The study empirically examines the employment generation potentials of the African Continental Free Trade Area (AfCFTA) in Nigeria’s industrial sector. The ARDL approach to cointegration and error correction modeling is employed for analysis of annual time series data covering the period 19912020. The study finds inter alia that the short run effect of expansion of intra-African trade (expected to result from the AfCFTA) on industrial sector employment is positive and statistically significant. The long run effect is also positive, but not statistically significant. It also finds that trade openness integration of the economy with the global market – significantly enhances employment generation in the nation’s industrial sector in the long run; though the short run effect is negative and significant. These suggest that the country’s membership of the AfCFTA and implementation of policies aimed at (cautiously) deepening the integration of the economy with the global market should be considered as supplementary avenues to achieving (sustainable) employment generation in the nation’s industrial sector in the short-and long-run. Other evidence-based policy recommendations are discussed.

IMPACT OF MONETARY POLICY TARGETS ON CAPITAL MARKET DEVELOPMENT IN NIGERIA

2021 ◽  
Vol 8 (1) ◽  
pp. 85-95
Author(s):  
Abdulkarim Musa ◽  
◽  
Uwaleke Uche ◽  
Nwala Nneka ◽  
◽  
...  
Keyword(s):  
Monetary Policy ◽  
Money Supply ◽  
Capital Market ◽  
Time Series Data ◽  
Market Development ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study empirically examines the impact of monetary policy targetson capital market development in Nigeria from 1986-2018. Time series data and econometric tools were used to test for the stationarity and causality effect. The Auto-Regressive Distributed Lag Model (ARDL) and Error Correction Model (ECM) techniques were used to examine the short-run and long-run impact and relationship between Monetary Policy and Capital Market Development in Nigeria. The study revealed that both in the long run and short run Exchange Rate (EXCHR), Inflation Rate (INFR), and Interest Rate in Nigeria (INTR)were negatively related to Capital Market Development (CAMKTD) in Nigeria and they were statistically insignificant in explaining changes in Capital Market Development (CAMKTD) in Nigeria. On the other hand, inthe long run, Money Supply was positively related to Capital Market Development (CAMKTD) in Nigeria and was statistically significant at a 5% level significant while Money Supply (M2) was positively related to Capital Market Development (CAMKTD) in Nigeria both in the long run and short-run and was statistically significant at 5% level of significance. Therefore, the study recommends that government should improve the efficiency and effectiveness of the money supply in Nigeria since it was statistically significant in determining the improvement of Capital Market Development (CAMKTD) in Nigeria.

Factors Affecting International Reserves with Special Reference to India

2017 ◽  
Vol 21 (4) ◽  
pp. 339-349 ◽  
Author(s):  
Mohammad Kashif ◽  
P. Sridharan ◽  
S. Thiyagarajan
Keyword(s):  
Time Series Data ◽  
Trade Openness ◽  
Negative Relationship ◽  
International Reserves ◽  
Series Data ◽  
Macroeconomic Factors ◽  
Factors Affecting ◽  
Long Run ◽  
Short Run ◽  
The Impact

World international reserves holdings have accelerated sharply in recent times. Countries particularly developing ones are competitive enough to hoard these reserves and top 10 major holders are mostly from Asia. Interestingly India comes only ninth among them. Developing countries, particularly India, are in line to hoard foreign reserves and there are certain factors that affect international reserves holdings. This study analysed the impact of few macroeconomic factors on these reserves. Augmented Dickey Fuller (ADF) and Phillips-Perron (PP) tests were employed to check the stationarity of the variables on the time series data that were of annual frequency. It was found that all variables were co-integrated signalling long-run relationship. Error correction mechanism (ECM) was implemented to get short-run dynamics for which a negative relation was established for trade openness (TRDOP) which contradicts previous studies. The negative relationship of TRDOP with international reserves in India could be due to the outcome of sustained trade deficits of Indian balance of payments. The economic growth variable exhibits a positive relationship which is consistent with previous studies. All variables were found significant at a 5 per cent level. The ECM suggested the same results as its long-run counterpart.

scholarly journals China–Pakistan Economic Corridor, Logistics Developments and Economic Growth in Pakistan

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 35
Author(s):  
Zunaira Khadim ◽  
Irem Batool ◽  
Muhammad Bilal Lodhi
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Real Income ◽  
Series Data ◽  
Data Set ◽  
Long Run ◽  
Short Run ◽  
Factor Inputs ◽  
The Impact

The study aims to analyze the impact of China–Pakistan Economic Corridor (CPEC) logistics-related developments on economic growth in Pakistan. The study defined a Cobb–Douglas type of research framework in which the country’s real income level relates to four factor inputs, e.g., employed labor force, logistics development, financial development, and energy consumption in an economy. The study utilized the time series data set for the period 1972–2018. To estimate the long run relationship and short run adjustment mechanism, the study used Johansen’s method of co-integration and error correction model. Estimated results showed that the country’s logistics developments have a significant positive impact on economic growth in both the long run and the short run. It implies that China–Pakistan collaborative efforts for logistics developments will have a strong positive impact on economic growth in Pakistan.

Technology Exports and Global Value Chain Linkages: A Comparative Sectoral Study of India

2020 ◽  
Vol 68 (1) ◽  
pp. 8-28
Author(s):  
Kashika Arora ◽  
Areej Aftab Siddiqui
Keyword(s):  
Granger Causality ◽  
Value Chain ◽  
Time Series Data ◽  
Export Performance ◽  
Series Data ◽  
High Tech ◽  
Comparative Performance ◽  
Long Run ◽  
Short Run ◽  
The Impact

Technology being incorporated in products, intermediate inputs and processes varies from sector to sector. Using annual time series data (1991–2017), a comparative performance of two sectors, namely, a high-tech (electronics and hardware) and low-tech (textiles and clothing), is undertaken to elaborate on the linkages between trade and technology. The empirical analysis in the form of auto regressive distributive lag (ARDL) testing approach to co-integration concludes that there is strong evidence of positive long-run relationship between extensive margin, gross fixed capital formation and revealed comparative advantage (RCA) with gross exports (GE) for the textile and clothing sector. Also, there runs a bidirectional Granger causality between RCA and GE and unidirectional Granger causality from GE to extensive and intensive margins and production value. However, there is a lack of evidence of long-run co-integration in the electronics sector. Still, a short-run positive causal relationship exists between lagged values of GE, intensive margin and production with GE. Together, the impact of these variables on the sector’s export performance varies, thus posing a challenge as well as providing a direction for the policies to reap further from this potential nexus of trade, investment and global value chains.

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