Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
736,782
result(s) for
"Energy consumption."
Sort by:
Estimating the macroeconomic determinants of total, renewable, and non-renewable energy demands in Bangladesh: the role of technological innovations
Bangladesh is well on course to become one of the leading emerging market economies in the world. Hence, it can be expected that the economic growth of Bangladesh would substantially increase over the next decade. This, in turn, is likely to boost the energy consumption levels of the nation whereby meeting the surge in the energy demand would be a crucial agenda of the government. Therefore, it is important to understand the factors that influence the nation’s energy demand. Against this backdrop, this paper aims to evaluate the macroeconomic determinants of total, renewable, and non-renewable energy demands in Bangladesh between 1980 and 2014. Besides, the analysis is conducted for both primary energy and electricity consumption levels. The econometric methods used in this study controlled for the structural break issues in the data. The key findings, in a nutshell, show that economic growth and household consumption expenditure positively influence the overall primary energy and electricity demands in Bangladesh while income inequality exerts opposite effects. Besides, technological innovations are found to be reducing the total and non-renewable energy demand in Bangladesh while increasing the demand for renewable energy. On the other hand, positive oil price shocks are found to be ineffective in influencing the renewable energy demand but slightly reducing the non-renewable energy demand. Finally, the causality estimates portray the feedback hypothesis in almost all the cases to highlight the inter-relationships between economic growth and energy demand in Bangladesh. Hence, in line with these findings several critically important policy implications are suggested for managing the overall energy demand in Bangladesh.
Journal Article
On the asymmetric effects of financial deepening on renewable and non-renewable energy consumption: insights from China
One of the strategic objectives of China is to increase renewable energy consumption by reducing non-renewable energy consumption. This motivates us to carefully investigate the asymmetric effects of financial deepening on renewable and non-renewable energy consumption for China, using annual data from 1990 to 2019. The results show that in China, a positive shock in bank deposits and broad money has a significant increasing effect on renewable energy consumption, while a negative shock in bank deposits and broad money has also a significant increasing effect on renewable energy consumption in the long-run. Moreover, positive change in bank deposits and broad money has an inverse impact on non-renewable energy consumption, while negative change has stimulating non-renewable energy consumption in long run. Thus, government and policymaker's policies aimed at promoting financial deepening in China must be persistent and sustainable to foster renewable energy consumption.
Journal Article
Renewable energy and non-renewable energy consumption: assessing the asymmetric role of monetary policy uncertainty in energy consumption
Previous infant literature has assessed the symmetric impact of monetary policy uncertainty on a few macro variables. Our study has considered asymmetric monetary policy uncertainty impacts on energy consumption. Our key concern in this study is to regulate whether US monetary policy uncertainty has an asymmetric impact on energy consumption. We employ the symmetric and asymmetric autoregressive distributed lag (ARDL) estimation methods, and we found that monetary policy uncertainty has short- and long-run negative effects on renewable energy consumption in the linear model, while decreased monetary policy uncertainty has a significant negative influence on renewable energy consumption in the USA in the non-linear model. However, in the short and long run, the measure of monetary policy uncertainty has an insignificant impact on non-renewable energy consumption, while increased monetary policy uncertainty in the USA has negative effects and decreased monetary policy uncertainty has positive effects on non-renewable energy consumption in the short and long run in the non-linear model. The effects are asymmetric in direction and magnitude. The study results call for vital changes in renewable and non-renewable energy policies to accommodate monetary policy uncertainties.
Journal Article
Data-Driven Golden Jackal Optimization–Long Short-Term Memory Short-Term Energy-Consumption Prediction and Optimization System
In order to address the issues of significant energy and resource waste, low-energy management efficiency, and high building-maintenance costs in hot-summer and cold-winter regions of China, a research project was conducted on an office building located in Nantong. In this study, a data-driven golden jackal optimization (GJO)-based Long Short-Term Memory (LSTM) short-term energy-consumption prediction and optimization system is proposed. The system creates an equivalent model of the office building and employs the genetic algorithm tool Wallacei to automatically optimize and control the building’s air conditioning system, thereby achieving the objective of reducing energy consumption. To validate the authenticity of the optimization scheme, unoptimized building energy consumption was predicted using a data-driven short-term energy consumption-prediction model. The actual comparison data confirmed that the reduction in energy consumption resulted from implementing the air conditioning-optimization scheme rather than external factors. The optimized building can achieve an hourly energy saving rate of 6% to 9%, with an average daily energy-saving rate reaching 8%. The entire system, therefore, enables decision-makers to swiftly assess and validate the efficacy of energy consumption-optimization programs, thereby furnishing a scientific foundation for energy management and optimization in real-world buildings.
Journal Article
Impact of renewable energy consumption, globalization, and technological innovation on environmental degradation in Japan: application of wavelet tools
With regard to environmental degradation in Japan, the world's third-largest economy, limited studies have been performed to illustrate the ecological aspects of the country's core and recent economic policies such as globalization, technological innovation, and renewable energy usage policies. Given this motivation, this research reveals a new perspective on the connection between CO
2
emissions and GDP growth, renewable energy, technological innovation and globalization in Japan by employing wavelet statistical tools. The paper employs series of wavelet tools for datasets covering the period from 1990Q1 to 2015Q4. The empirical outcomes demonstrate proof of the interaction between renewable energy use, economic growth, technological innovation, globalization and CO
2
emissions in both time and frequency. The empirical results of the wavelet analyses reveal that globalization, GDP growth, and technological innovation increase CO
2
emissions in Japan, while renewable energy usage mitigates CO
2
in the short and medium terms. The results demonstrate the significance of implementing policies effectively coordinated by the policymakers to curb the significant environmental degradation in Japan. Moreover, Japan should actively support renewable energy development and create a more competitive climate for investment in the renewable energy market.
Journal Article