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Nexus between non-renewable energy demand and economic growth in Bangladesh: Application of Maximum Entropy Bootstrap approach

机译:孟加拉国不可再生能源需求与经济增长之间的纽带:最大熵引导法的应用

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The paper analyzes the causal relationship between energy demand and economic growth in Bangladesh using annual time series data from 1980 to 2011 from World Development Indicator (WDI), Database of the World Bank. Since the results of causal direction are sensitive to the models being employed, the paper uses Maximum Entropy Bootstrap (meboot) due to its superiority to overcome small sample bias and limitation of asymptotic distribution theory. To avoid the omitted variables bias, the paper uses multivariate framework in production function specification. The paper finds that a unidirectional causality runs from economic growth to energy demand which indicates that conservative policy might not harm the Bangladesh economy but since economic progress leads higher energy consumption, demand side management of energy and exploring renewable energy sources are must. The implications are discussed.
机译:本文使用世界银行数据库世界发展指标(WDI)从1980年至2011年的年度时间序列数据,分析了孟加拉国能源需求与经济增长之间的因果关系。由于因果方向的结果对所采用的模型敏感,因此本文使用最大熵引导程序(meboot),因为它具有克服小样本偏差和渐近分布理论的局限性的优势。为了避免遗漏的变量偏差,本文在生产函数规范中使用了多元框架。本文发现,从经济增长到能源需求存在单向因果关系,这表明保守的政策可能不会损害孟加拉国经济,但由于经济进步导致能源消费增加,必须对能源进行需求侧管理并探索可再生能源。讨论了含义。

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