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首页> 外文期刊>Journal of Sustainable Development >Linear Relationship between CO2 Emissions and Economic Variables: Evidence from a Developed Country and a Developing Country
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Linear Relationship between CO2 Emissions and Economic Variables: Evidence from a Developed Country and a Developing Country

机译：二氧化碳排放量与经济变量之间的线性关系：来自发达国家和发展中国家的证据

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Multiple linear regressions (MLR) analyses have been used to explain various linear relationships between CO 2 emissions and economic variables. Previous research have suggested that predictors of CO 2 emissions can be vary depending on economic development of a country and also region where a country is located. This paper investigates the linear relationships between CO 2 emissions and its related economic variables using MLR analyses for the UK and Malaysia. Differently from the typical MLR analyses which directly identify the most prevalent predictors, these analysis includes F- test to check linearity property of the relationships, regression equations and also error analysis to validate the robustness of the multiple linear regressions as predictive tool. It is shown that the linear relationships of the UK data outperformed the linear relationship of Malaysian data where agriculture and transport are the most effective predictors for the UK and Malaysia data respectively. The most effective predictor from the linear relationship would provide valuable information for policy holders and environmental management authority on potential causes of CO 2 emissions.
机译：多元线性回归（MLR）分析已用于解释CO 2排放量与经济变量之间的各种线性关系。先前的研究表明，CO 2排放量的预测指标可能会因一个国家以及一个国家所在地区的经济发展而变化。本文使用针对英国和马来西亚的MLR分析研究了CO 2排放量及其相关经济变量之间的线性关系。与直接识别最流行的预测变量的典型MLR分析不同，这些分析包括F-检验（检查关系的线性特性），回归方程以及误差分析，以验证作为预测工具的多重线性回归的稳健性。结果表明，英国数据的线性关系优于马来西亚数据的线性关系，其中农业和交通运输分别是英国和马来西亚数据最有效的预测指标。线性关系中最有效的预测因子将为保单持有人和环境管理机构提供有关CO 2排放潜在原因的有价值的信息。

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