scholarly journals Do gross domestic product changes have asymmetric effects on India’s energy use?

2017 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Manzoor Ahmad ◽  
Zia Ullah Khan ◽  
Shehzad Khan
Keyword(s):  
Gross Domestic Product ◽  
Energy Use ◽  
Time Series Data ◽  
Developing Economies ◽  
Domestic Product ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Symmetric Effect

The existing literature on the linkage between Gross Domestic Product (GDP) and energy use in both industrialized and developing economies usually assumes that the impacts of gross domestic product changes are symmetric. In this study, we utilized nonlinear autoregressive distributed lag (NARDL) model and test whether or not the effect of variations in the gross domestic product on energy use is symmetric or asymmetric from the context of India. Using time series data over 1971-2014, the findings depict that the change in the gross domestic product has a symmetric effect on energy use both in short-run and the long-run. Our conclusions infer that there is no asymmetrical association between GDP and energy use, leading to support the symmetric impact of GDP on energy use.

scholarly journals An Empirical Relationship between Agriculture Investment and Economic Growth in North Macedonia: An ARDL Analysis

TEM Journal ◽  
2021 ◽  
pp. 1470-1475
Author(s):  
Nikolche Jankulovski ◽  
Biljana Angelova ◽  
Meri Boshkoska
Keyword(s):  
Gross Domestic Product ◽  
Agricultural Land ◽  
Time Series Data ◽  
Empirical Relationship ◽  
Domestic Product ◽  
Series Data ◽  
Long Run ◽  
Integration Test ◽  
Short Run ◽  
The Relationship

The main aim of this paper is to find the relationship between agriculture investment and the growth of the gross domestic product in North Macedonia. We collected the yearly secondary time series data between the periods 1991 to 2020. We run the ARDL co-integration test to check the long-run as well as the short-run relationship between dependent and independent variables. We found a positive and significant relationship between agriculture valueadded and the growth of the GDP in the long run. The agricultural land has a positive relationship with the growth of the GDP in the long run but negatively correlated in the short run. Last, both variables agricultural methane emissions and inflation are negatively correlated with the growth of the gross domestic product in both the long and the short run.

scholarly journals Does Cereal crops asymmetrically affect Agriculture gross domestic product in Pakistan? Using NARDL model approach

2020 ◽  
Vol 50 (5) ◽  
Author(s):  
Imad Ali ◽  
Imran Khan ◽  
Hashmat Ali ◽  
Khan Baz ◽  
Qiangqiang Zhang ◽  
...  
Keyword(s):  
Gross Domestic Product ◽  
Time Series Data ◽  
Domestic Product ◽  
Series Data ◽  
Causality Test ◽  
Maize Production ◽  
Wheat Production ◽  
Distributed Lag ◽  
Long Run ◽  
Nardl Model

ABSTRACT: This study contributes to the extant literature on the nexus among rice, maize and wheat production with agriculture gross domestic product (AGDP) of Pakistan. We use time series data from 1970 to 2017 and employ the Non-linear Autoregressive Distributed Lag (NARDL) model. Short run and long run shocks between the selected variables and result’s is checked through the co-integration and nonlinear error correction model.Autoregressive distributed lag bound testing approach for co-integration and to find the relationship between variables Granger causality test is applied.Our results confirm co-integration, positive shocks results show that rice, maize and wheat production have significantly influence on AGDP. The asymmetrically positive shocks of three crops have neutral effect on AGDP. While in symmetric results show the unidirectional effect between rice, maize production with AGDP and wheat production do not have ganger causality with AGDP. Finally, results depict that wheat, maize and rice production significantly contributes to agricultural GDP in the case of Pakistan.

scholarly journals AGRICULTURAL FINANCE AND ECONOMIC GROWTH: EVIDENCE FROM NIGERIA

2019 ◽  
Vol 20 (0) ◽  
pp. 467-475
Author(s):  
Funso Abiodun Okunlola ◽  
Godswill Osagie Osuma ◽  
Ehimare Alexander Omankhanlen
Keyword(s):  
Gross Domestic Product ◽  
Time Series Data ◽  
Wald Test ◽  
Domestic Product ◽  
Series Data ◽  
Agricultural Finance ◽  
Real Gross Domestic Product ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

The study performed an in-depth examination of the impact of guaranteed agricultural finance to oil palm, cocoa, groundnuts, fishery, poultry, cattle, roots, and tubers on the real gross domestic product of the country. Time series data was sourced from the Central Bank of Nigeria statistical bulletin of various issues. The data sets covered thirty-seven (37) years spanning from 1981 to 2017. The study used Autoregressive Distributed Lag (ARDL) model for its analysis. However, prior estimation and due to several exogenous variables, Phillip Perron stationarity test was used to determine the order of integration because of its robustness to serial correlation and heteroskedasticity. The study also specified the lag criterion based on LR, FPE, AIC, SC, and HQ using Newey-West covariance matrix estimator. Findings from both short-run and long-run models as confirmed by the Wald test, which shows that none of the guaranteed agricultural finance is statistically significant to real gross domestic product. The study, therefore, recommends increased funding and deliberate efforts at determining which of the nominated agricultural spending has the most contributory impact on growth.

Fish Exports and Economic Growth: The Pakistan’s Experience

2019 ◽  
Vol 20 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Mohammad Haris Siddiqui ◽  
Zeeshan Atiq ◽  
Usman Azhar
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Impulse Response Function ◽  
Policy Implications ◽  
Sensitivity Analyses ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

This study attempts to explore first time ever the relationship between fish exports and economic growth of Pakistan by employing annual time series data for the period 1974–2013. Autoregressive distributed lag and Johansen and Juselius cointegration results confirm the existence of a positive long-run relationship among the variables. Further, the error correction model reveals that no immediate or short-run relationship exists between fish exports and economic growth. Different sensitivity analyses indicate that initial results are robust. Rolling window analysis has been applied to identify the yearly behaviour of fish exports, and it remains negative from 1979 to 1982, 1984 to 1988, 1993 to 1999, 2004 and from 2010 to 2013, and it shows positive impact from 1989 to 1992, 2000 to 2003 and from 2005 to 2009. Furthermore, the variance decomposition method and impulse response function suggest the bidirectional causal relationship between fish exports and economic growth. The findings are beneficial for policymakers in the area of export planning. This study also provides some policy implications in the final section.

scholarly journals Determinants of Private Investment in Pakistan

2020 ◽  
Vol 2 (3) ◽  
pp. 86-92
Author(s):  
Muhammad Suleman ◽  
Abdur Rehman ◽  
Haroon Javaid
Keyword(s):  
Growth Rate ◽  
Public Sector ◽  
Time Series Data ◽  
Trade Openness ◽  
Private Investment ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Domestic Savings ◽  
Short Run

Private investment has a significant relation with the economic growth of the country. It plays an important role in reduction of unemployment and poverty by promoting efficiency and competition among the firms. This study is an attempt to investigate the determinants of private investment in Pakistan. For this purpose, time-series data is utilized for the period 1974-2013. The ARDL (Auto Regressive-Distributed Lag) modeling technique of co-integration was employed to estimate the short-run and long-run determinants of private investment in Pakistan. Empirical findings of this study indicated that in the short-run private investment in Pakistan is determined by the growth rate of GDP, public sector investment, and domestic savings. While in the long run it is determined by the official exchange rate, the growth rate of GDP, public sector investment, domestic savings, trade openness, and interest rate. The results also revealed that in the case of Pakistan different political regimes (democratic, non-democratic) have no significance in the determination of private investment. Stability tests of CUSUM and (CUSUMSQ) (Cumulative Sum Control Chart) were performed in this study. These tests indicated a stable, long run as well as short-run structural stability of the model.

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.

Determinants of environmental degradation in Saudi Arabia: exploring the unexplored

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Tahir ◽  
Arshad Hayat ◽  
Umar Burki
Keyword(s):  
Saudi Arabia ◽  
Environmental Degradation ◽  
Time Series Data ◽  
Trade Openness ◽  
Negative Relationship ◽  
Series Data ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Purpose Environmental degradation is recognized as a serious problem globally, and hence, Saudi Arabia is no exception. This paper aims to focus on the economy of Saudi Arabia to identify the determinants of environmental degradation. Design/methodology/approach Time series data spanning from 1971 to 2014 is used and analyzed using the recently developed autoregressive distributed lag modeling approach. Findings The obtained results reflected that natural resources, per person income and urbanization, have impacted environmental degradation both positively and significantly in the long run. Similarly, an insignificant negative relationship is established between trade openness and environmental degradation. Moreover, energy consumption has positively but insignificantly affected environmental degradation. In the short run, only per capita income has positively influenced environmental degradation while the rest of the variables have lost either significance levels or their direction of relationship has reversed. Originality/value As this is a pioneering study on the economy of Saudi Arabia, therefore, the authors assume that policymakers will find the findings of the current study very useful while formulating and implementing policies to control environmental degradation.

Effects of Terms of Trade on Economic Growth of Pakistan

2017 ◽  
Vol 53 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Khalil Jebran ◽  
Amjad Iqbal ◽  
Zia Ur Rehman Rao ◽  
Arshad Ali
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Terms Of Trade ◽  
Series Data ◽  
Economic Policies ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model

This paper analyzes the effect of terms of trade on economic growth of Pakistan considering annual time series data from 1980 to 2013. This study opted autoregressive distributed lag model for purpose of analyzing short- and long-run relationship. The results reveal significant negative long-run and short-run effects of terms of trade on economic growth. The analyses also indicate significant positive long-run and short-run effects of labour on economic growth. Further, capital stock is influencing positively the economic growth in long run only. We suggest that economic policies may be implemented to deteriorate terms of trade which will further enhance the economic growth of Pakistan. JEL: F13, F43

scholarly journals Asymmetrical Linkages between Foreign Exchange and Stock Markets: Empirical Evidence through Linear and Non-Linear ARDL

2018 ◽  
Vol 11 (3) ◽  
pp. 51 ◽  
Author(s):  
Rabia Luqman ◽  
Rehana Kouser
Keyword(s):  
Time Series Data ◽  
Equity Markets ◽  
Series Data ◽  
Policy Makers ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Non Linear ◽  
Short Run ◽  
Daily Time

The symmetrical relationship between currency and equity markets has gained much attention among academicians and policy makers in the recent era. Many studies conducted on this relationship have concluded that there is short-run relationship between these variables and found less evidence about a long-run relationship. Moreover, all previous studies supposed the linear or symmetrical relationship between these variables. In this study, we use daily time series data from G8+5 countries and Pakistan for 2000–2016 and apply linear and non-linear autoregressive distributed lag (ARDL) to check the symmetrical and asymmetrical relationship between currency and equity markets. Results have shown that there are asymmetrical linkages between the currency and equity markets.

scholarly journals Role of Inflow of Resources on Economic Growth of Nepal

2019 ◽  
Vol 42 (3-4) ◽  
pp. 66-78
Author(s):  
Tilak Singh Mahara ◽  
Naw Raj Bhatt
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Empirical Finding ◽  
Series Data ◽  
Data Sets ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

This study attempts to examine the role of the inflow of resources on the economic growth of Nepal incorporating annual time-series data sets of 45 years from 1975 to 2019. The autoregressive distributed lag approach to cointegration is used to identify the long-run as well as the short-run relationship between the variables. The empirical finding indicates that there is a positive relationship between the inflow of resources and economic growth. Quantitatively, gross national saving, domestic loans, foreign loans, and export earnings have a positive impact on the economic growth in both the long-run as well as short-run for the Nepalese economy. Policies encouraging private sector participation, enlarging efficiency, and effectiveness of public sector projects, and expanding export base must be implemented.

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