亚洲国家的去工业化和三级化进程是否使排放脱碳?

Jain Yassin, S. Aralas
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引用次数: 3

摘要

到目前为止,2012年至2015年全球排放量的减缓趋势表明,这是由于以低能源密集型服务业为基础的工业转型。然而,关于部门构成在影响碳排放方面的作用的不一致和不充分的证据是一个被忽视的严重的学术和政策差距。因此,由于亚洲国家经历了经济结构阶段的巨大转变,本研究旨在探讨去工业化和第三化进程是否可能是亚洲国家碳排放的解决方案。由于亚洲国家碳排放的结构异质性普遍存在,本文采用人口、富裕、技术回归随机影响(STRIPAT)模型作为分析框架,并采用动态共同相关效应(DCCE)估计器来分析碳排放的异质性、截面依赖性和动态性。综上所述,本研究发现,亚洲国家的去工业化调节了其排放量,而服务业的扩张则会以二次函数的形式降低其排放量。然而,在三次函数中观察到n形关系,因此不能保证随着各国转向服务型经济,污染排放的长期水平将继续下降。这项研究的发现不仅在现有知识的增值方面很重要,而且在协助制定战略规划和更好的可持续政策以对抗𝑂2排放的增长方面也很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does the De-Industrialization and Tertiarization Process De-Carbonize Emissions in Asian Countries?
To date, slowdown trends in the global 𝐶𝑂2 emissions registered in 2012 to 2015 argue due to the transformation from an industrial based on a less-energy intensive services oriented. Nevertheless, inconsistent and insufficient evidence of the role of sectoral composition in influencing the carbon emissions is a serious academic and policy gaps that were overlooked. Thus, due the fact that Asian countries experiences a dramatic shift in phases of economic structure, this study aim to investigate whether the de-industrialization and tertiarization process might be the solution to the carbon emissions in Asian countries. As the structural heterogeneity exists widely across countries in Asian countries, this paper employs Stochastic Impact by Regression on Population, Affluence, Technology (STRIPAT) model as its analytical framework and estimate using the Dynamic Common Correlated Effects (DCCE) estimator to address the heterogeneity, cross-section dependence, and dynamic nature of carbon emissions. In sum, this study found that the de-industrialization moderating the 𝐶𝑂2 emissions in Asian countries, while the expansion of service sector bound to reduce the 𝐶𝑂2 emissions as presented in quadratic functional. Nevertheless, an N-shape relationship observe in cubic functional, thus there is no guarantee that long-term levels of pollution emissions will continue to fall as countries shifting to services-based economy. The finding of this study is important not only in term a value-added of current knowledge, but also in assisting the development of strategic planning and better sustainable policy to combat the growth of 𝐶𝑂2 emissions.
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