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Clean energy, population density, urbanization and environmental pollution nexus: Evidence from Bangladesh

机译:清洁能源,人口密度,城市化和环境污染Nexus:来自孟加拉国的证据

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Environmental problem is a much discussed issue worldwide. It is a more serious issue for Bangladesh, which is vulnerable to frequent natural disasters. Therefore, this work aims to identify the short-run and long-run causal relationships between clean energy, population density, urbanization, economic development, trade openness and environmental pollution in Bangladesh using the data of 1973-2014. Different time series related econometric techniques such as Augmented Dickey-Fuller test, PhillipsPerron test, Autoregressive Distributive Lag (ARDL) bounds test and the Toda-Yamamoto Granger causality test are applied to find out outcomes. Our findings are: the use of clean energy improved the environmental quality, but population density, urbanization and economic growth are found to be detrimental to the environment; a unidirectional causality of CO2 emissions with clean energy, economic growth and urbanization is also revealed. Therefore, the use of more clean energy for reducing the environmental pollution is to be ensured. (c) 2021 Elsevier Ltd. All rights reserved.
机译:环境问题是一个广泛讨论的问题全世界。这是孟加拉国一个更严重的问题,这是容易受到自然灾害频繁。因此,这项工作旨在利用1973至2014年的数据确定在孟加拉国清洁能源,人口密度,城市化,经济发展,贸易开放度和环境污染之间的短期和长期的因果关系。不同的时间序列相关的计量技术,例如扩张的Dickey-Fuller检定,PhillipsPerron测试,自回归分配滞后(ARDL)界定试验和户田山本Granger因果检验被施加以找出结果。我们的调查结果是:使用清洁能源改善环境质量,但人口密度,城市化和经济增长被发现是对环境有害;清洁能源,经济增长和城市化的二氧化碳排放的单向因果关系也显露。因此,减少对环境的污染,使用更清洁的能源要保证。 (c)2021 elestvier有限公司保留所有权利。

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