制造业能源消耗:尼日利亚可持续能源的探索

Oluwasola Oni, Oluwaseun Babatunde
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摘要

制造业企业为了实现高质量发展,想出了如何以可持续的方式最大限度地利用他们的材料和改进他们的操作流程。本研究将重点放在减少对化石燃料依赖和减少二氧化碳排放的可持续能源实践上,研究尼日利亚能源消耗、制造业产出和经济增长之间的关系。该研究使用1990年至2019年的时间序列数据,考察了天然气、可再生生物燃料、燃料油、天然气/柴油、汽油和电力对制造业生产的影响。它采用了自回归分布滞后(ARDL)模型估计技术。在ARDL模型中考察了短期动态和长期关系。在短期内,汽车汽油、天然气可再生生物燃料、燃气/柴油和燃料油在经济上和统计上都是显著的,无论是在本年度还是直到第二个滞后期。而ARDL约束检验则揭示了各变量之间长期存在协整关系。可再生生物燃料和燃料油是唯一与GDP制造业产出有直接且统计上显著正相关的变量。因此,从长远来看,增加这些能源的使用可能会增加GDP制造业的产出。根据格兰杰因果检验,制造业产出与汽油和可再生生物燃料之间存在双向关系。相反,制造业产出与燃气/柴油和电力之间存在格兰杰因果关系。进一步,检验表明,制造GDP只有格兰杰原因的可再生生物燃料。研究结果表明,可再生生物燃料能源的个体效应及其重要性(即减少二氧化碳排放、可持续性、产能充足(在尼日利亚的情况下))可以增加国内生产总值(GDP)制造业产出。因此,建议政策制定者确保转换并提供可再生生物燃料来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy consumption of manufacturing sector: a search for sustainable energy source in Nigeria
Manufacturing companies in a bid to realize high-quality development, figure out how to make the most use of their materials and improve their operating processes in a sustainable way. With an emphasis on sustainable energy practices that lessen reliance on fossil fuels and cut CO2 emissions, this study examines the relationship between energy consumption, manufacturing output, and economic growth in Nigeria. The study examines the effects of natural gas, renewable biofuels, fuel oil, gas/diesel, gasoline, and electricity on manufacturing production using time series data covering 1990 to 2019. It employed an autoregressive distributed lag (ARDL) model estimate technique. The short-run dynamics and long-run relationships are examined in the ARDL model. In the short-run motor gasoline, natural gas renewable biofuel, gas/diesel and fuel oil are economically and statistically significant both in the current year and up to the second lagged period. While the ARDL bound test reveals that there is cointegration among the variable in the long run. Renewable biofuels and fuel oil are the only variables that have a direct and statistically significant positive relationship with GDP manufacturing output. Therefore, increasing the use of these energy sources is likely to increase the output of GDP manufacturing in the long run. According to the Granger Causality Test, there is a bidirectional relationship between manufacturing output and both gasoline and renewable biofuel. In contrast, there is a Granger causality relationship between manufacturing output and gas/diesel and electricity. Furthermore, the test indicates that manufacturing GDP only has a Granger cause renewable biofuel. The findings show the individual effects of the renewable biofuel energy source and thus its importance viz-a-viz reduction of CO2 emissions, sustainability, sufficiency in capacity (in Nigeria context) can increased Gross Domestic Product (GDP) manufacturing output. It is therefore recommended that policymakers ensure a switch and make available renewable biofuel sources.
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