The causal relationship between electricity consumption and economic growth in a Gaming and Tourism Center: The case of Macao SAR, the People's Republic of China

The nexus between economic growth, tourism development, energy consumption, and CO2 emissions in Mediterranean countries

This study aims to analyze the relationship among international tourism, energy consumption, carbon dioxide emissions, and economic growth in Mediterranean countries for the 1995-2014 data period. According to the results of panel quantile regression model for 17 countries, the tourism-led growth hypothesis is valid in low growth levels, but deviations from this hypothesis are determined after the middle growth level. Also, the CO₂ coefficient at low growth levels indicated that sustainable growth is achieved, but no significant results are obtained at subsequent growth levels. Finally, energy consumption supports economic growth at low and medium growth levels. Short-run causality test results illustrated that there is bidirectional causality between GDP and all explanatory variables.

Electricity consumption and economic growth nexus in China: an autoregressive distributed lag approach

This study attempts to investigate the relationship among electricity consumption, economic growth, and employment in China. Distinct from most of the previous studies, our empirical research identifies a long-run equilibrium cointegration relationship among the three covariates during the period of 1971-2009 with the recently developed autoregressive distributed lag (ARDL) bounds testing approach. The parameters are estimated through a long-run static solution of the estimated ARDL model and short-run dynamic solutions of the error correction model. The estimated models successfully pass diagnostic tests and both the long-run and short-run elasticities are found to be statistically significant. The study also indicates the existence of short-run and long-run causalities from electricity consumption and employment to economic growth. Results of this study show that electricity serves as an important driver of economic growth. Based on these results, several policy prescriptions on energy use and economic development are suggested for China.

The growth pattern and fuel life cycle analysis of the electricity consumption of Hong Kong

As the consumption of electricity increases, air pollutants from power generation increase. In metropolitans such as Hong Kong and other Asian cities, the surge of electricity consumption has been phenomenal over the past decades. This paper presents a historical review about electricity consumption, population, and change in economic structure in Hong Kong. It is hypothesized that the growth of electricity consumption and change in gross domestic product can be modeled by 4-parameter logistic functions. The accuracy of the functions was assessed by Pearson's correlation coefficient, mean absolute percent error, and root mean squared percent error. The paper also applies the life cycle approach to determine carbon dioxide, methane, nitrous oxide, sulfur dioxide, and nitrogen oxide emissions for the electricity consumption of Hong Kong. Monte Carlo simulations were applied to determine the confidence intervals of pollutant emissions. The implications of importing more nuclear power are discussed.