Energy Consumption – Gross Domestic Product Causal Relationship in the Italian Regions

2012 ◽  
pp. 279-286 ◽  
Author(s):  
Antonio Angelo Romano ◽  
Giuseppe Scandurra
Keyword(s):  
Energy Consumption ◽  
Gross Domestic Product ◽  
Causal Relationship ◽  
Domestic Product ◽  
Italian Regions

The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy

2019 ◽  
Vol 31 (2) ◽  
pp. 215-236
Author(s):  
Ruixiaoxiao Zhang ◽  
Geoffrey QP Shen ◽  
Meng Ni ◽  
Johnny Wong
Keyword(s):  
Time Series ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Causal Relationship ◽  
Granger Causality ◽  
Value Added ◽  
Granger Causality Test ◽  
Domestic Product ◽  
Causality Test ◽  
Per Capita

The causal relationship between energy consumption and gross domestic product in Hong Kong from 1992 to 2015 is investigated in this study. Different from the previous studies focusing on the causal relationship between total energy consumption and total gross domestic product per capita, this study further investigates the causal relationship from sectoral perspective, including residential, commercial, industrial and transportation sectors. For each sector, the time series data of sectoral energy consumption and sectoral per capita value added are collected. To conduct the Granger causality test, the unit root test is first applied to analyse the stationarity of time series. The cointegration test is then employed to examine whether causal relationship exists in long-term. Finally, based on the aforementioned tests, both vector error correction model and vector autoregression model can be selected to determine the Granger causality between time series. It is interesting to find that the sectoral energy consumption and corresponding sectoral per capita value-added exhibit quite different causal relationships. For both residential sector and commercial sectors, a unidirectional causal relationship is found running from the sectoral per capita value added to sectoral energy consumption. Oppositely, for industrial sector and transportation sector, a unidirectional causal relationship is found running from sectoral energy consumption to sectoral per capita value added. Regarding the Granger causality test results, the indicative suggestions on energy conservation policies, energy efficiency policies and greenhouse gas emission reduction policies are discussed based on the background of Hong Kong’s economic structure and fuel types.

ANALISIS DETERMINAN KUALITAS LINGKUNGAN PERIODE 1999-2013

2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang
Keyword(s):  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Meat Consumption ◽  
Domestic Product ◽  
World Data ◽  
The World ◽  
The Impact

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.

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 CAUSAL RELATIONSHIP BETWEEN GDP, ENERGY CONSUMPTION, POPULATION, AND OIL PRICE: EVIDENCE FROM VIETNAM

2019 ◽  
Vol 7 (2) ◽  
pp. 100-105 ◽  
Author(s):  
Ngoc Thuy Ho ◽  
Wann Yi Wu ◽  
Adriana Amaya Rivas ◽  
Phuoc Thien Nguyen
Keyword(s):  
Energy Consumption ◽  
Gross Domestic Product ◽  
Granger Causality ◽  
Unit Root Test ◽  
Oil Price ◽  
Domestic Product ◽  
Integration Test ◽  
Research Findings ◽  
Research Questions ◽  
The Relationship

Purpose of this study: This study aims to examine the relationship between energy consumption, gross domestic product, and population for the period of 1985-2015. Methodology: The research questions for this study are as follows: (1) What is the association among energy consumption, GDP, population, and oil price? (2) Which suggestions can be provided on the basis of the research findings? Unit root test, co-integration test, VECM model, and Granger causality are employed to analyze the association among the aforementioned variables. Main Findings: Firstly, the results show the existence of co-integration among the variables. By employing the Granger causality, the research findings demonstrate a unidirectional causality running from population to energy consumption, a unidirectional causality running from energy consumption to gross domestic product, and a unidirectional causality running from population to gross domestic product. Implications: With these results, it is suggested that Vietnam should promote the growth of the population and the energy policies to generate economic growth. Novelty: To the best of our knowledge, this study extends the scarce literature that provides empirical findings regarding this issue.

scholarly journals The Relationship between Primary Energy Consumption and Real Gross Domestic Product: Evidence from Major Asian Countries

2020 ◽  
Vol 12 (6) ◽  
pp. 2568 ◽  
Author(s):  
Wen-Chi Liu
Keyword(s):  
Energy Consumption ◽  
South Korea ◽  
Gross Domestic Product ◽  
Causal Relationship ◽  
Primary Energy ◽  
Primary Energy Consumption ◽  
Real Gross Domestic Product ◽  
Real Gdp ◽  
The Relationship ◽  
Growth Hypothesis

This study examines the relationship between primary energy consumption (PEC) and real gross domestic product (real GDP) in the top four major energy consumers in Asia, namely, China, India, Japan, and South Korea. The study period is from 1982–2018, covering 37 years of data after the second oil crisis (1979–1981). Bootstrap panel Granger causality method is applied to examine the causal relationship between PEC and real GDP. This method is capable of controlling cross-sectional dimension and cross-country heterogeneity. In addition, few studies investigate the relevance of real GDP to energy consumption, although real GDP adjusted by inflation provides an accurate picture of a country’s economic situation. Our results contribute to existing literature in the field of PEC and real GDP. Through rigorous empirical research, we derive the main conclusion as follows. The real GDP and PEC of the top four energy consumers in Asia seem to be affected by the burst of the speculative Internet bubble from 2000–2001. Therefore, this study divides the research period into three periods: 1982–2018, 1982–2001, and 2002–2018. During the 1982–2018 period, an independent causal relationship is observed between real GDP and PEC for all four countries, thus supporting the neutrality hypothesis. During the 1982–2001 period, a unidirectional causal relationship running from PEC to real GDP is observed, thus supporting the energy growth hypothesis. Moreover, the coefficient is significantly negative in India; that is, PEC constrains economic development. Thus, the Indian government should reform its energy efficiency and consumption technologies to reduce energy waste. During the 2002–2018 period, an independent causal relationship is observed between real GDP and energy consumption for all four countries, thus supporting the neutrality hypothesis. This study then changes real GDP into nominal GDP and finds a unidirectional causal relationship running from PEC to nominal GDP in South Korea, thus supporting the growth hypothesis. A unidirectional causal relationship is also observed running from nominal GDP to PEC in India, thus supporting the energy conservation hypothesis. As mentioned above, we find that the relationship between PEC and real GDP adjusted by the GDP deflator is weaker than that between PEC and nominal GDP. Nominal GDP strengthens its relationship with PEC through the effect of prices for all the goods and services produced in an economy.

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