On electricity consumption and economic growth in China
TL;DR: In this paper, the relationship between electricity consumption and economic growth in China is investigated from three dimensions, i.e., the time dimension, the regional dimension and the industrial dimension.
Abstract: The invention and application of the electric power technology triggered the second industrial revolution in human history, which marked the human society entered the age of electricity. Electricity provides the sustainable power for economic and social development. With the rapid development of economy, the electricity consumption is also increasing. The increase of electricity consumption has further promoted the progress of the industrial economy. In order to achieve the goal of improving the level of economic development while reducing energy consumption, it is necessary to reveal the relationship between electricity consumption and economic growth. This study is an extensive overview of the literature surrounding this topic. In this paper, we focus on the relationship between electricity consumption and economic growth in China. We first analyze the general situation of China's electricity consumption and economic development. Then we explore the relationship between China's electricity consumption and economic growth from three dimensions, i.e., the time dimension, the regional dimension and the industrial dimension. Finally, we study the key issues in the research of the relationship between electricity consumption and economic growth, including variable selection, model construction and results discussion. This work suggests that the nature of the nexus in China should and can be explored from a wider perspective, by developing a suitable integrated methodological framework.
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TL;DR: In this paper, the authors explored the relationship between economic growth, electricity consumption, urbanization and environmental degradation in case of United Arab Emirates (UAE) over the period of 1975-2011.
Abstract: The present study explores the relationship between economic growth, electricity consumption, urbanization and environmental degradation in case of United Arab Emirates (UAE). The study covers the quarter frequency data over the period of 1975–2011. We have applied the ARDL bounds testing approach to examine the long run relationship between the variables in the presence of structural breaks. The VECM Granger causality is applied to investigate the direction of causal relationship between the variables. Our empirical exercise reported the existence of cointegration among the series. Further, we found an inverted U-shaped relationship between economic growth and CO 2 emissions i.e. economic growth raises energy emissions initially and declines it after a threshold point of income per capita (EKC exists). Electricity consumption declines CO 2 emissions. The relationship between urbanization and CO 2 emissions is positive. Exports seem to improve the environmental quality by lowering CO 2 emissions. The causality analysis validates the feedback effect between CO 2 emissions and electricity consumption. Economic growth and urbanization Granger cause CO 2 emissions.
291 citations
TL;DR: In this article, the authors explored the relationship between electricity consumption (EC), electricity price (EP), and real GDP at various sectors and general levels from the period 1970-2018 in Pakistan by using the Johansen Co-integration test and Vector Error Correction Model (VECM).
111 citations
TL;DR: It is concluded that more stringent policies are essential to reducing CO2 emissions in the near future, whereas industrial structure optimization shows the greatest potential for environmental improvement during 2020-2030.
107 citations
TL;DR: Wang et al. as mentioned in this paper used the Chinese provincial panel data during the period of 1996-2013 to perform a quantitative analysis on the relationship between the urban-rural income gap and the per capita electricity consumption.
100 citations
TL;DR: Though urbanization is a good predictor of Nigeria's economic growth, however, the adjustment of the energy portfolio to meet the growing urban demand will curtail the adverse and far-reaching impact of urbanization on the economy.
97 citations
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TL;DR: In this paper, a review has been done on scope of CO2 mitigation through solar cooker, water heater, dryer, biofuel, improved cookstove and by hydrogen, which provides an excellent opportunity for mitigation of greenhouse gas emission and reducing global warming through substituting conventional energy sources.
Abstract: Renewable technologies are considered as clean sources of energy and optimal use of these resources minimize environmental impacts, produce minimum secondary wastes and are sustainable based on current and future economic and social societal needs. Sun is the source of all energies. The primary forms of solar energy are heat and light. Sunlight and heat are transformed and absorbed by the environment in a multitude of ways. Some of these transformations result in renewable energy flows such as biomass and wind energy. Renewable energy technologies provide an excellent opportunity for mitigation of greenhouse gas emission and reducing global warming through substituting conventional energy sources. In this article a review has been done on scope of CO2 mitigation through solar cooker, water heater, dryer, biofuel, improved cookstoves and by hydrogen.
2,584 citations
TL;DR: In this paper an attempt is made to review the various energy demand forecasting models to accurately predict the future energy needs.
Abstract: Energy is vital for sustainable development of any nation – be it social, economic or environment. In the past decade energy consumption has increased exponentially globally. Energy management is crucial for the future economic prosperity and environmental security. Energy is linked to industrial production, agricultural output, health, access to water, population, education, quality of life, etc. Energy demand management is required for proper allocation of the available resources. During the last decade several new techniques are being used for energy demand management to accurately predict the future energy needs. In this paper an attempt is made to review the various energy demand forecasting models. Traditional methods such as time series, regression, econometric, ARIMA as well as soft computing techniques such as fuzzy logic, genetic algorithm, and neural networks are being extensively used for demand side management. Support vector regression, ant colony and particle swarm optimization are new techniques being adopted for energy demand forecasting. Bottom up models such as MARKAL and LEAP are also being used at the national and regional level for energy demand management.
1,002 citations
TL;DR: In this article, the causal relationship between electricity consumption and real GDP for China during 1971-2000 was examined and it was shown that real GDP and electricity consumption are cointegrated and there is unidirectional Granger causality running from electricity consumption to real GDP but not vice versa.
818 citations
TL;DR: In this article, the authors re-examine the causality between energy consumption and GDP by using updated Taiwan data for the period 1954-1997 and find bidirectional causality.
713 citations