scholarly journals Is Tourism and Energy Consumption Linked? Evidence from Australia

2021 ◽  
Vol 13 (19) ◽  
pp. 10800
Author(s):  
Avishek Khanal ◽  
Mohammad Mafizur Rahman ◽  
Rasheda Khanam ◽  
Eswaran Velayutham
Keyword(s):  
Energy Consumption ◽  
Gross Domestic Product ◽  
Financial Development ◽  
Primary Energy ◽  
Domestic Product ◽  
Development Indicators ◽  
Distributed Lag ◽  
Long Run ◽  
Using Data ◽  
Australian Bureau Of Statistics

Tourism contributes to the growth of an economy via earning foreign currencies and employment opportunities. However, tourism also contributes to greater energy consumption because of various tourist activities such as hotel accommodations and transportation. This study investigates the long-term cointegrating relationship between international tourist arrivals and primary energy consumption in Australia. In addition, the roles of gross domestic product, gross fixed capital formation, financial development, and total population on energy consumption are also examined. The study covered the last four decades (1976–2018) using data from the Australian Bureau of Statistics, BP Statistical Review, and the World Development Indicators. Augmented Dickey-Fuller, Phillips-Perron, Autoregressive distributed lag (ARDL) bound tests, Johansen and Juselius, Bayer-Hanck cointegration test, and several key diagnostic tests have been conducted to assess the relationship. The estimated results indicate that tourist arrivals, gross domestic product, and financial development have a significant long-run cointegrating relationship with energy consumption. Policy measures are suggested based on the findings of this study.

scholarly journals The Impact of Industrialization, Trade Openness, Financial Development, and Energy Consumption on Economic Growth in Indonesia

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 174
Author(s):  
Khalid Eltayeb Elfaki ◽  
Rossanto Dwi Handoyo ◽  
Kabiru Hannafi Ibrahim
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Financial Development ◽  
Correction Term ◽  
Trade Openness ◽  
Ordinary Least Squares ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

This study aimed to scrutinize the impact of financial development, energy consumption, industrialization, and trade openness on economic growth in Indonesia over the period 1984–2018. To do so, the study employed the autoregressive distributed lag (ARDL) model to estimate the long-run and short-run nexus among the variables. Furthermore, fully modified ordinary least squares (FMOLS), dynamic least squares (DOLS), and canonical cointegrating regression (CCR) were used for a more robust examination of the empirical findings. The result of cointegration confirms the presence of cointegration among the variables. Findings from the ARDL indicate that industrialization, energy consumption, and financial development (measured by domestic credit) positively influence economic growth in the long run. However, financial development (measured by money supply) and trade openness demonstrate a negative effect on economic growth. The positive nexus among industrialization, financial development, energy consumption, and economic growth explains that these variables were stimulating growth in Indonesia. The error correction term indicates a 68% annual adjustment from any deviation in the previous period’s long-run equilibrium economic growth. These findings provide a strong testimony that industrialization and financial development are key to sustained long-run economic growth in Indonesia.

scholarly journals Agricultural exports and the growth of agriculture in India

2013 ◽  
Vol 59 (No. 5) ◽  
pp. 211-218 ◽  
Author(s):  
O. Ramphul
Keyword(s):  
Gross Domestic Product ◽  
Causal Link ◽  
Domestic Product ◽  
Bounds Testing ◽  
Causality Test ◽  
Vector Error Correction ◽  
Agricultural Exports ◽  
Distributed Lag ◽  
Long Run ◽  
Equilibrium Relationship

The study empirically investigates the causality between agricultural exports and gross domestic product (GDP) agriculture in India using the Granger causality test via Vector Error-Correction Model over the period 1970–1971 to 2009–2010. The results of unit-root tests suggest that the series of India’s GDP agriculture and farm exports are integrated of order one. The results of the Auto Regressive Distributed Lag bounds testing approach to co-integration show that there is a positive and stable long-run equilibrium relationship between India’s agricultural exports and GDP of agriculture. We find a unidirectional causal link running from farm exports to gross domestic product of agriculture. It indicates that in India, agricultural products export Granger causes the growth in GDP of agriculture, which supports the export-led growth hypothesis. It is suggested that in order to accelerate the agricultural growth rate in India, there is a need to implement the policies encouraging the agricultural exports.  

scholarly journals An Econometric Assessment of the Impact of Exchange Rate Depreciation on Inflation in Nigeria (1981-2017)

2019 ◽  
Author(s):  
Kenneth Apeh ◽  
Abubakar Muhammad Auwal ◽  
Nweze Nwaze Obinna
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Inflation Rate ◽  
Government Expenditure ◽  
Domestic Product ◽  
Economic Policies ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact ◽  
Exchange Rate Depreciation

The present reality of the Nigerian economy is the fact that inflation has remained unabated in spite of all exchange rate measures that have been adopted by the monetary authority. This calls for investigation into the extent to which exchange rate impact on inflation in Nigeria. The research paper examined the impact of exchange rate depreciation on inflation in Nigeria for the period 1981–2017, using Auto Regressive Distributed Lag (ARDL) Bounds Test Cointegration Procedure. The research shows that inflation rate in Nigeria is highly susceptible to lagged inflation rate, exchange rate, lagged exchange rate, lagged broad money, and lagged gross domestic product at 5% level of significance. A long run relationship was also found to exist between inflation rate, gross domestic product and general government expenditure, indicating that the model has a self-adjusting mechanism for correcting any deviation of the variables from equilibrium. Therefore, this study concludes that exchange rate is an important tool to manage inflation in the country; thus, this paper recommends that policies that have direct influence on inflation as well as exchange rate policies that would checkmate inflation movement in the country, should be used by the Central Bank of Nigeria. Also, monetary growth and import management policies should be put in place to encourage domestic production of export commodities, which are currently short-supplied. In addition, policy makers should not rely on this instrument totally to control inflation, but should use it as a complement to other macro-economic policies.

scholarly journals Direction of Causality between Financial Development and Economic Growth in Turkey

2021 ◽  
pp. 22-37
Author(s):  
Cengiz Yılmaz ◽  
Banu Demirhan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Gross Domestic Product ◽  
Financial Development ◽  
The Other ◽  
Development Indicators ◽  
Short Run ◽  
Causality Relationship ◽  
Using Data

This paper has investigated the causality relationship between financial development and economic growth in Turkey, using data from 2005:04 to 2020:03. We construct a time-series model to explore causality relationships between the variables. In the study, two indicators were used as financial development indicators: banking loans to the private sector and money supply to GDP (Gross Domestic Product). The empirical results have represented a bi-directional relationship between financial development and economic growth in the short run. On the other hand, we have not found a causality relationship in the long term.

scholarly journals Do financial systems spur economic growth in the USA? An empirical investigation

2019 ◽  
Vol 66 (2) ◽  
pp. 165-185
Author(s):  
Sheilla Nyasha ◽  
N.M. Odhiambo
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Positive Impact ◽  
The United States ◽  
Bounds Testing ◽  
Financial Systems ◽  
Development Indicators ◽  
Distributed Lag ◽  
Long Run ◽  
The Usa

In this paper, we use the autoregressive distributed lag (ARDL) bounds testing approach to examine the dynamic impact of both bank-based financial development and market-based financial development on economic growth in the United States of America (USA) during the period 1980 to 2012. In order to adequately capture the depth and width of the USA?s financial system, we used both bank-based and marketbased financial development indices as proxies for bank-based and market-based financial systems. These indices were constructed from a number of bank- and market-based financial development indicators, using the method of means-removed average. Our empirical results reveal that both bank-based and market-based financial development have a positive impact on economic growth in the USA. These results apply irrespective of whether the regression analysis is conducted in the long run or in the short run. We, therefore, recommend that both pro-bank-based and pro-market-based financial sector development policies should be pursued in the USA - in order to bolster real sector growth and economic development.

scholarly journals THE RELATIONSHIP BETWEEN MONETARY POLICY AND PRIVATE SECTOR CREDIT IN SADC COUNTRIES

2021 ◽  
Vol 9 (1) ◽  
pp. 46-54
Author(s):  
Vikela Liso Sithole ◽  
◽  
Tembeka Ndlwana ◽  
Kin Sibanda ◽  
◽  
...  
Keyword(s):  
Monetary Policy ◽  
Gross Domestic Product ◽  
Private Sector ◽  
Money Supply ◽  
Sustainable Growth ◽  
Domestic Product ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact ◽  
The Relationship

This paper empirically examined the relationship between monetary policy and private sector credit in the Southern African Development Community (SADC) group of countries using a panel autoregressive distributed lag (ARDL) co-integration technique for the period from 2009 to 2018. The Hausman test result indicated that the null hypothesis of long-run homogeneity cannot be rejected and hence we accept the pooled mean group estimators (PMGE) as a consistent and efficient estimator. The PMGE results showed that credit to the private sector and gross domestic product have a positive and statistically significant long-run impact on money supply. The impact of credit to the private sector on money supply is shown by the results to be statistically significant and positive both in the short and long run. The impact of gross domestic product on money supply was found to be statistically significant positive in the long run while positive but insignificant in the short run. The study recommends policy attention that is directed towards the appetite for accelerated growth, investment, and employment in the SADC region but more importantly with more regard to the establishment of sustained macroeconomic stability as a precondition to sustainable growth and for the creation of monetary union in the region.

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 Petroleum Consumption and Financial Development in Malaysia

2016 ◽  
Author(s):  
Jen-Eem Chen ◽  
Yan-Ling Tan ◽  
Chin-Yu Lee ◽  
Lim-Thye Goh
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Financial Sector ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run

This paper aims to contribute to the existing literature by examining the dynamic relationship among petroleum consumption, financial development, economic growth and energy price. The sample of this study is based on the Malaysian annual data from 1980 to 2010. The model specification was examined in the Autoregressive Distributed Lag (ARDL) framework and the results revealed the existence of a long-run equilibrium. The findings indicated that financial development and economic growth cause a demand for energy to escalate in the long run. The Toda-Yamamoto (TYDL) non Granger-causality test provides evidence that there is unidirectional Granger-causality running from financial development and economic growth to energy consumption in the long run. This suggests that Malaysia is not an energy-dependent country. Hence, the government could implement energy conservation policies to reduce the waste of energy use. Given that development in the financial sector, and economic growth increase petroleum consumption in Malaysia, the policies pertaining to energy consumption should incorporate the development of the financial sector and economic growth of country.   Keywords: Petroleum consumption, financial development, non-renewable energy, Autoregressive Distributed Lag (ARDL), Toda-Yamamoto (TYDL) non Granger-causality test

scholarly journals Analysis on Bioeconomy’s Contribution to GDP: Evidence from Japan

2019 ◽  
Vol 11 (3) ◽  
pp. 712 ◽  
Author(s):  
Xuezhou Wen ◽  
Daniel Quacoe ◽  
Dinah Quacoe ◽  
Kingsley Appiah ◽  
Bertha Ada Danso
Keyword(s):  
Gross Domestic Product ◽  
National Economy ◽  
Principal Component ◽  
Domestic Product ◽  
World Bank Group ◽  
Energy Agency ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Bank Group

This study analyzes seven bioeconomy sectors with the aim of establishing the leading contributing sectors to gross domestic product (GDP), and also determines the future relationship between bioeconomy and the national economy in Japan. We use data from World Input–Output Database (WIOD), International Renewable Energy Agency (IRENA), and the World Bank Group for this analysis. First, we use principal component analysis (PCA) techniques to identify the bioeconomy sectors that contribute significantly to the national economy. We find through the PCA that all the bioeconomy sectors that we analyzed contribute almost uniformly and significantly to the national economy. We also find forestry and wood sectors to be the most significant contributing bioeconomy sectors. We use the autoregressive distributed lag (ARDL) bounds test to prove the existence of short-run and long-run relationships between bioeconomy and gross domestic product (GDP). We finally use the vector error correction Granger causality model to establish a bicausality between bioeconomy and GDP in the long-run, but not in 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.

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