The nexus between economic growth, energy use, urbanization, tourism, and carbon dioxide emissions: New insights from Singapore

Asif Raihan , Almagul Tuspekova
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引用次数: 41

Abstract

Singapore is a foremost tourist destination country experiencing continuous economic growth and rapid urbanization which is causing higher energy consumption and carbon dioxide (CO2) emissions. This study aims to investigate the dynamic impacts of economic growth, energy use, urbanization, and tourism on CO2 emissions in Singapore. Time series data from 1990 to 2019 were utilized by employing the dynamic ordinary least squares (DOLS) approach. The DOLS findings show that the long-run coefficient of economic growth is negative and significant, indicating that a 1% rise in economic growth will result in a 0.99% reduction in CO2 emissions. Furthermore, the coefficient of energy use is positive and significant which reveals that an increasing 1% of energy use is linked with a rising of 0.52% CO2 emissions in the long run. In addition, the long-run coefficient of urbanization is positive and significant, implying that rising urbanization by 1% causes a 1.90% increase in CO2 emissions. Moreover, the coefficient of tourism is positive and significant, which specifies that an increase in tourism activities by 1% is associated with a 0.45% increase in CO2 emissions in the long run. The estimated results are robust to alternative estimators such as ordinary least squares (OLS), fully modified least squares (FMOLS), and canonical cointegrating regression (CCR). Furthermore, the pairwise Granger causality test was utilized to capture the causal linkage between the variables. This article put forward policy recommendations toward environmental sustainability by establishing strong regulatory policy instruments to reduce environmental degradation.

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经济增长、能源使用、城市化、旅游和二氧化碳排放之间的关系:来自新加坡的新见解
新加坡是一个最重要的旅游目的地国家,经历了持续的经济增长和快速的城市化,这导致了更高的能源消耗和二氧化碳(CO2)排放。本研究旨在探讨经济增长、能源使用、城市化和旅游业对新加坡二氧化碳排放的动态影响。采用动态普通最小二乘(DOLS)方法对1990 - 2019年的时间序列数据进行分析。DOLS的研究结果表明,经济增长的长期系数为负且显著,表明经济增长每提高1%,二氧化碳排放量将减少0.99%。此外,能源使用系数为正且显著,这表明从长远来看,能源使用每增加1%,二氧化碳排放量就会增加0.52%。此外,城镇化的长期系数为正且显著,意味着城镇化每提高1%,二氧化碳排放量就会增加1.90%。此外,旅游业的系数为正且显著,这表明从长远来看,旅游活动每增加1%,二氧化碳排放量就会增加0.45%。估计结果对普通最小二乘(OLS)、完全修正最小二乘(FMOLS)和典型协整回归(CCR)等替代估计量具有鲁棒性。此外,两两格兰杰因果检验被用来捕捉变量之间的因果联系。本文通过建立强有力的监管政策工具来减少环境退化,提出了环境可持续性的政策建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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